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Can Popular Weight-Loss Drugs Protect Against Obesity-Related Cancers?

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Wed, 06/04/2025 - 10:58
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Can Popular Weight-Loss Drugs Protect Against Obesity-Related Cancers?

New data suggest that glucagon-like peptide 1 (GLP-1) receptor agonists, used to treat diabetes and obesity, may also help guard against obesity-related cancers.

In a large observational study, new GLP-1 agonist users with obesity and diabetes had a significantly lower risk for 14 obesity-related cancers than similar individuals who received dipeptidyl peptidase-4 (DPP-4) inhibitors, which are weight-neutral.

This study provides a “reassuring safety signal” showing that GLP-1 drugs are linked to a modest drop in obesity-related cancer risk, and not a higher risk for these cancers, said lead investigator Lucas Mavromatis, medical student at NYU Grossman School of Medicine in New York City, during a press conference at American Society of Clinical Oncology (ASCO) 2025 annual meeting.

However, there were some nuances to the findings. The protective effect of GLP-1 agonists was only significant for colon and rectal cancers and for women, Mavromatis reported. And although GLP-1 users had an 8% lower risk of dying from any cause, the survival benefit was also only significant for women.

Still, the overall “message to patients is GLP-1 receptor treatments remain a strong option for patients with diabetes and obesity and may have an additional, small favorable benefit in cancer,” Mavromatis explained at the press briefing.

'Intriguing Hypothesis'

Obesity is linked to an increased risk of developing more than a dozen cancer types, including esophageal, colon, rectal, stomach, liver, gallbladder, pancreatic, kidney, postmenopausal breast, ovarian, endometrial and thyroid, as well as multiple myeloma and meningiomas.

About 12% of Americans have been prescribed a GLP-1 medication to treat diabetes and/or obesity. However, little is known about how these drugs affect cancer risk.

To investigate, Mavromatis and colleagues used the Optum healthcare database to identify 170,030 adults with obesity and type 2 diabetes from 43 health systems in the United States.

Between 2013 and 2023, half started a GLP-1 agonist and half started a DPP-4 inhibitor, with propensity score matching used to balance characteristics of the two cohorts.

Participants were a mean age of 56.8 years, with an average body mass index of 38.5; more than 70% were White individuals and more than 14% were Black individuals.

During a mean follow-up of 3.9 years, 2501 new obesity-related cancers were identified in the GLP-1 group and 2671 in the DPP-4 group — representing a 7% overall reduced risk for any obesity-related cancer in the GLP-1 group (hazard ratio [HR], 0.93).

When analyzing each of the 14 obesity-related cancers separately, the protective link between GLP-1 use and cancer was primarily driven by colon and rectal cancers. GLP-1 users had a 16% lower risk for colon cancer (HR, 0.84) and a 28% lower risk for rectal cancer (HR, 0.72).

“No other cancers had statistically significant associations with GLP-1 use,” Mavromatis told briefing attendees. But “importantly, no cancers had statistically significant adverse associations with GLP-1 use,” he added.

Experts have expressed some concern about a possible link between GLP-1 use and pancreatic cancer given that pancreatitis is a known side effect of GLP-1 use. However, “this is not borne out by epidemiological data,” Mavromatis said.

“Additionally, we were not able to specifically assess medullary thyroid cancer, which is on the warning label for several GLP-1 medications, but we did see a reassuring lack of association between GLP-1 use and thyroid cancer as a whole,” he added.

During follow-up, there were 2783 deaths in the GLP-1 group and 2961 deaths in the DPP-4 group  translating to an 8% lower risk for death due to any cause among GLP-1 users (HR, 0.92; = .001).

Mavromatis and colleagues observed sex differences as well. Women taking a GLP-1 had an 8% lower risk for obesity-related cancers (HR, 0.92; = .01) and a 20% lower risk for death from any cause (HR, 0.80; < .001) compared with women taking a DPP-4 inhibitor.

Among men, researchers found no statistically significant difference between GLP-1 and DPP-4 use for obesity-related cancer risk (HR, 0.95; = .29) or all-cause mortality (HR, 1.04; = .34).

Overall, Mavromatis said, it’s important to note that the absolute risk reduction seen in the study is “small and the number of patients that would need to be given one of these medications to prevent an obesity-related cancer, based on our data, would be very large.”

Mavromatis also noted that the length of follow-up was short, and the study assessed primarily older and weaker GLP-1 agonists compared with newer agents on the market. Therefore, longer-term studies with newer GLP-1s are needed to confirm the effects seen as well as safety.

In a statement, ASCO President Robin Zon, MD, said this trial raises the “intriguing hypothesis” that the increasingly popular GLP-1 medications might offer some benefit in reducing the risk of developing cancer.

Zon said she sees many patients with obesity, and given the clear link between cancer and obesity, defining the clinical role of GLP-1 medications in cancer prevention is “important.”

This study “leads us in the direction” of a potential protective effect of GLP-1s on cancer, but “there are a lot of questions that are generated by this particular study, especially as we move forward and we think about prevention of cancers,” Zon told the briefing.

This study was funded by the National Institute of Diabetes and Digestive and Kidney Diseases of the National Institutes of Health. Mavromatis reported no relevant disclosures. Zon reported stock or ownership interests in Oncolytics Biotech, TG Therapeutics, Select Sector SPDR Health Care, AstraZeneca, CRISPR, McKesson, and Berkshire Hathaway.

A version of this article first appeared on Medscape.com.

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New data suggest that glucagon-like peptide 1 (GLP-1) receptor agonists, used to treat diabetes and obesity, may also help guard against obesity-related cancers.

In a large observational study, new GLP-1 agonist users with obesity and diabetes had a significantly lower risk for 14 obesity-related cancers than similar individuals who received dipeptidyl peptidase-4 (DPP-4) inhibitors, which are weight-neutral.

This study provides a “reassuring safety signal” showing that GLP-1 drugs are linked to a modest drop in obesity-related cancer risk, and not a higher risk for these cancers, said lead investigator Lucas Mavromatis, medical student at NYU Grossman School of Medicine in New York City, during a press conference at American Society of Clinical Oncology (ASCO) 2025 annual meeting.

However, there were some nuances to the findings. The protective effect of GLP-1 agonists was only significant for colon and rectal cancers and for women, Mavromatis reported. And although GLP-1 users had an 8% lower risk of dying from any cause, the survival benefit was also only significant for women.

Still, the overall “message to patients is GLP-1 receptor treatments remain a strong option for patients with diabetes and obesity and may have an additional, small favorable benefit in cancer,” Mavromatis explained at the press briefing.

'Intriguing Hypothesis'

Obesity is linked to an increased risk of developing more than a dozen cancer types, including esophageal, colon, rectal, stomach, liver, gallbladder, pancreatic, kidney, postmenopausal breast, ovarian, endometrial and thyroid, as well as multiple myeloma and meningiomas.

About 12% of Americans have been prescribed a GLP-1 medication to treat diabetes and/or obesity. However, little is known about how these drugs affect cancer risk.

To investigate, Mavromatis and colleagues used the Optum healthcare database to identify 170,030 adults with obesity and type 2 diabetes from 43 health systems in the United States.

Between 2013 and 2023, half started a GLP-1 agonist and half started a DPP-4 inhibitor, with propensity score matching used to balance characteristics of the two cohorts.

Participants were a mean age of 56.8 years, with an average body mass index of 38.5; more than 70% were White individuals and more than 14% were Black individuals.

During a mean follow-up of 3.9 years, 2501 new obesity-related cancers were identified in the GLP-1 group and 2671 in the DPP-4 group — representing a 7% overall reduced risk for any obesity-related cancer in the GLP-1 group (hazard ratio [HR], 0.93).

When analyzing each of the 14 obesity-related cancers separately, the protective link between GLP-1 use and cancer was primarily driven by colon and rectal cancers. GLP-1 users had a 16% lower risk for colon cancer (HR, 0.84) and a 28% lower risk for rectal cancer (HR, 0.72).

“No other cancers had statistically significant associations with GLP-1 use,” Mavromatis told briefing attendees. But “importantly, no cancers had statistically significant adverse associations with GLP-1 use,” he added.

Experts have expressed some concern about a possible link between GLP-1 use and pancreatic cancer given that pancreatitis is a known side effect of GLP-1 use. However, “this is not borne out by epidemiological data,” Mavromatis said.

“Additionally, we were not able to specifically assess medullary thyroid cancer, which is on the warning label for several GLP-1 medications, but we did see a reassuring lack of association between GLP-1 use and thyroid cancer as a whole,” he added.

During follow-up, there were 2783 deaths in the GLP-1 group and 2961 deaths in the DPP-4 group  translating to an 8% lower risk for death due to any cause among GLP-1 users (HR, 0.92; = .001).

Mavromatis and colleagues observed sex differences as well. Women taking a GLP-1 had an 8% lower risk for obesity-related cancers (HR, 0.92; = .01) and a 20% lower risk for death from any cause (HR, 0.80; < .001) compared with women taking a DPP-4 inhibitor.

Among men, researchers found no statistically significant difference between GLP-1 and DPP-4 use for obesity-related cancer risk (HR, 0.95; = .29) or all-cause mortality (HR, 1.04; = .34).

Overall, Mavromatis said, it’s important to note that the absolute risk reduction seen in the study is “small and the number of patients that would need to be given one of these medications to prevent an obesity-related cancer, based on our data, would be very large.”

Mavromatis also noted that the length of follow-up was short, and the study assessed primarily older and weaker GLP-1 agonists compared with newer agents on the market. Therefore, longer-term studies with newer GLP-1s are needed to confirm the effects seen as well as safety.

In a statement, ASCO President Robin Zon, MD, said this trial raises the “intriguing hypothesis” that the increasingly popular GLP-1 medications might offer some benefit in reducing the risk of developing cancer.

Zon said she sees many patients with obesity, and given the clear link between cancer and obesity, defining the clinical role of GLP-1 medications in cancer prevention is “important.”

This study “leads us in the direction” of a potential protective effect of GLP-1s on cancer, but “there are a lot of questions that are generated by this particular study, especially as we move forward and we think about prevention of cancers,” Zon told the briefing.

This study was funded by the National Institute of Diabetes and Digestive and Kidney Diseases of the National Institutes of Health. Mavromatis reported no relevant disclosures. Zon reported stock or ownership interests in Oncolytics Biotech, TG Therapeutics, Select Sector SPDR Health Care, AstraZeneca, CRISPR, McKesson, and Berkshire Hathaway.

A version of this article first appeared on Medscape.com.

New data suggest that glucagon-like peptide 1 (GLP-1) receptor agonists, used to treat diabetes and obesity, may also help guard against obesity-related cancers.

In a large observational study, new GLP-1 agonist users with obesity and diabetes had a significantly lower risk for 14 obesity-related cancers than similar individuals who received dipeptidyl peptidase-4 (DPP-4) inhibitors, which are weight-neutral.

This study provides a “reassuring safety signal” showing that GLP-1 drugs are linked to a modest drop in obesity-related cancer risk, and not a higher risk for these cancers, said lead investigator Lucas Mavromatis, medical student at NYU Grossman School of Medicine in New York City, during a press conference at American Society of Clinical Oncology (ASCO) 2025 annual meeting.

However, there were some nuances to the findings. The protective effect of GLP-1 agonists was only significant for colon and rectal cancers and for women, Mavromatis reported. And although GLP-1 users had an 8% lower risk of dying from any cause, the survival benefit was also only significant for women.

Still, the overall “message to patients is GLP-1 receptor treatments remain a strong option for patients with diabetes and obesity and may have an additional, small favorable benefit in cancer,” Mavromatis explained at the press briefing.

'Intriguing Hypothesis'

Obesity is linked to an increased risk of developing more than a dozen cancer types, including esophageal, colon, rectal, stomach, liver, gallbladder, pancreatic, kidney, postmenopausal breast, ovarian, endometrial and thyroid, as well as multiple myeloma and meningiomas.

About 12% of Americans have been prescribed a GLP-1 medication to treat diabetes and/or obesity. However, little is known about how these drugs affect cancer risk.

To investigate, Mavromatis and colleagues used the Optum healthcare database to identify 170,030 adults with obesity and type 2 diabetes from 43 health systems in the United States.

Between 2013 and 2023, half started a GLP-1 agonist and half started a DPP-4 inhibitor, with propensity score matching used to balance characteristics of the two cohorts.

Participants were a mean age of 56.8 years, with an average body mass index of 38.5; more than 70% were White individuals and more than 14% were Black individuals.

During a mean follow-up of 3.9 years, 2501 new obesity-related cancers were identified in the GLP-1 group and 2671 in the DPP-4 group — representing a 7% overall reduced risk for any obesity-related cancer in the GLP-1 group (hazard ratio [HR], 0.93).

When analyzing each of the 14 obesity-related cancers separately, the protective link between GLP-1 use and cancer was primarily driven by colon and rectal cancers. GLP-1 users had a 16% lower risk for colon cancer (HR, 0.84) and a 28% lower risk for rectal cancer (HR, 0.72).

“No other cancers had statistically significant associations with GLP-1 use,” Mavromatis told briefing attendees. But “importantly, no cancers had statistically significant adverse associations with GLP-1 use,” he added.

Experts have expressed some concern about a possible link between GLP-1 use and pancreatic cancer given that pancreatitis is a known side effect of GLP-1 use. However, “this is not borne out by epidemiological data,” Mavromatis said.

“Additionally, we were not able to specifically assess medullary thyroid cancer, which is on the warning label for several GLP-1 medications, but we did see a reassuring lack of association between GLP-1 use and thyroid cancer as a whole,” he added.

During follow-up, there were 2783 deaths in the GLP-1 group and 2961 deaths in the DPP-4 group  translating to an 8% lower risk for death due to any cause among GLP-1 users (HR, 0.92; = .001).

Mavromatis and colleagues observed sex differences as well. Women taking a GLP-1 had an 8% lower risk for obesity-related cancers (HR, 0.92; = .01) and a 20% lower risk for death from any cause (HR, 0.80; < .001) compared with women taking a DPP-4 inhibitor.

Among men, researchers found no statistically significant difference between GLP-1 and DPP-4 use for obesity-related cancer risk (HR, 0.95; = .29) or all-cause mortality (HR, 1.04; = .34).

Overall, Mavromatis said, it’s important to note that the absolute risk reduction seen in the study is “small and the number of patients that would need to be given one of these medications to prevent an obesity-related cancer, based on our data, would be very large.”

Mavromatis also noted that the length of follow-up was short, and the study assessed primarily older and weaker GLP-1 agonists compared with newer agents on the market. Therefore, longer-term studies with newer GLP-1s are needed to confirm the effects seen as well as safety.

In a statement, ASCO President Robin Zon, MD, said this trial raises the “intriguing hypothesis” that the increasingly popular GLP-1 medications might offer some benefit in reducing the risk of developing cancer.

Zon said she sees many patients with obesity, and given the clear link between cancer and obesity, defining the clinical role of GLP-1 medications in cancer prevention is “important.”

This study “leads us in the direction” of a potential protective effect of GLP-1s on cancer, but “there are a lot of questions that are generated by this particular study, especially as we move forward and we think about prevention of cancers,” Zon told the briefing.

This study was funded by the National Institute of Diabetes and Digestive and Kidney Diseases of the National Institutes of Health. Mavromatis reported no relevant disclosures. Zon reported stock or ownership interests in Oncolytics Biotech, TG Therapeutics, Select Sector SPDR Health Care, AstraZeneca, CRISPR, McKesson, and Berkshire Hathaway.

A version of this article first appeared on Medscape.com.

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Can Popular Weight-Loss Drugs Protect Against Obesity-Related Cancers?

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Can Lifestyle Changes Save Lives in Colon Cancer?

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Can Lifestyle Changes Save Lives in Colon Cancer?

Can exercise “therapy” and diet improve survival in patients with colon cancer? It appears so, according to two pivotal studies presented at American Society of Clinical Oncology (ASCO) 2025 annual meeting.

In the CHALLENGE trial, a structured exercise program after surgery and adjuvant chemotherapy cut the risk for colon cancer recurrence in patients with stage III and high-risk stage II disease by more than one quarter and the risk for death by more than one third.

“The magnitude of benefit with exercise is substantial. In fact, it is comparable, and in some cases exceeds the magnitude of benefit of many of our very good standard medical therapies in oncology,” study presenter Christopher Booth, MD, with Queen’s University, Kingston, Ontario, Canada, told attendees.

Results of the study were published online in The New England Journal of Medicine to coincide with the presentation at the meeting.

The findings are “nothing short of a major milestone,” said study discussant Peter Campbell, PhD, with Montefiore Einstein Comprehensive Cancer Center, Bronx, New York.

The other study showed that eating a less inflammatory diet may reduce the risk for death in patients with colon cancer, with the greatest benefits seen in those who embraced anti-inflammatory foods and exercised regularly.

“Putting these two abstracts into perspective, we as physicians need to be essentially prescribing healthy diet and exercise. The combination of the two are synergistic,” Julie Gralow, MD, ASCO chief medical officer and executive vice president, told attendees.

Despite the benefits of these lifestyle changes, exercise and diet are meant to supplement, not replace, established colon cancer treatments.

It would be a false binary to frame this as lifestyle vs cancer treatment, explained Mark Lewis, MD, director of Gastrointestinal Oncology at Intermountain Healthcare in Salt Lake City, Utah. With exercise, for instance, “the key is giving enough chemo to protect against recurrence and eliminate micrometastases but not so much that we cause neuropathy and reduce function and ability to follow the CHALLENGE structured program,” Lewis said.

Exercise and Survival

Colon cancer remains the second-leading cause of cancer death worldwide. Even with surgery and chemotherapy, roughly 30% of patients with stage III and high-risk stage II colon cancer will experience disease recurrence.

“As oncologists, one of the most common questions we get asked by patients is — what else can I do to improve my outcome?” Booth said.

Observational studies published nearly two decades ago hinted that physically active cancer survivors fare better, but no randomized trial has definitively tested whether exercise could alter disease course. That knowledge gap prompted the Canadian Cancer Trials Group to launch the CHALLENGE trial.

Between 2009 and 2023, the phase 3 study enrolled 889 adults (median age, 61 years; 51% women) who had completed surgery and adjuvant chemotherapy for stage III (90%) or high-risk stage II (10%) colon cancer. Most patients were from Canada and Australia and were enrolled 2-6 months after completing chemotherapy.

Half of study participants were randomly allocated to a structured exercise program (n = 445) and half to receive standard health education materials promoting physical activity and healthy eating (control individuals, n = 444).

As part of the structured exercise intervention, patients met with a physical activity consultant twice a month for the first 6 months. These sessions included exercise coaching and supervised exercise. Patients could choose their preferred aerobic exercise and most picked brisk walking.

The consultants gave each patient an “exercise prescription” to hit a specific amount of exercise. The target was an additional 10 metabolic equivalent (MET)–hours of aerobic activity per week — about three to four brisk walks each lasting 45-60 minutes. After 6 months, patients met with their consultants once a month, with additional sessions available for extra support if needed.

Structured exercise led to “substantial and sustained” increases in the amount of exercise participants did, as well as physiologic measures of their fitness, with “highly relevant” improvements in VO2 max, 6-minute walk test, and patient-reported physical function, underscoring that participants were not only exercising more but also getting fitter, Booth said.

Exercise was associated with a clinically meaningful and statistically significant 28% reduction in the risk for recurrent or new cancer (hazard ratio [HR], 0.72; P = .017), with a 5-year disease free survival rate of 80% in the exercise group and 74% in the control group.

In other words, “for every 16 patients that went on the exercise program, exercise prevented 1 person from recurrent or new cancer” at 5 years, Booth reported.

Overall survival results were “even more impressive,” he said.

At 8 years, 90% of patients in the exercise program were alive vs 83% of those in the control group, which translated to a 37% lower risk for death (HR, 0.63; P = .022).

“For every 14 patients who went on the exercise program, exercise prevented 1 person from dying” at the 8-year mark, Booth noted.

“Notably, this difference in survival was not driven by difference in cardiovascular deaths but by a reduction in the risk of death from colon cancer,” he said.

Besides a slight uptick in musculoskeletal aches, no major safety signals emerged in the exercise group.

It’s important to note that the survival benefit associated with exercise came after patients had received surgery followed by chemotherapy — in other words, exercise did not replace established cancer treatments. It’s also unclear whether initiating an exercise intervention earlier in the treatment trajectory — before surgery or during chemotherapy, instead of after chemotherapy — could further improve cancer outcomes, the authors noted.

Still, “exercise as an intervention is a no brainer and should be implemented broadly,” said ASCO expert Pamela Kunz, MD, with Yale School of Medicine, New Haven, Connecticut.

Marco Gerlinger, MD, with Barts Cancer Institute, London, England, agreed.

“Oncologists can now make a very clear evidence-based recommendation for patients who just completed their chemotherapy for bowel cancer and are fit enough for such an exercise program,” Gerlinger said in a statement from the nonprofit UK Science Media Centre.

Booth noted that knowledge alone will not be sufficient to allow most patients to change their lifestyle and realize the health benefits.

“The policy implementation piece of this is really key, and we need health systems, hospitals, and payers to invest in these behavior support programs so that patients have access to a physical activity consultant and can realize the health benefits,” he said.

“This intervention is empowering and achievable for patients and with much, much lower cost than many of our therapies. It is also sustainable for health systems,” he concluded.

Diet and Survival

Diet can also affect outcomes in patients with colon cancer.

In the same session describing the CHALLENGE results, Sara Char, MD, with Dana-Farber Cancer Institute in Boston, reported findings showing that consuming a diet high in proinflammatory foods was associated with worse overall survival in patients with stage III colon cancer. A proinflammatory diet includes red and processed meats, sugary drinks, and refined grains, while an anti-inflammatory diet focuses on fruits, vegetables, whole grains, fish, and olive oil.

Chronic systemic inflammation has been implicated in both colon cancer development and in its progression, and elevated levels of inflammatory markers in the blood have previously been associated with worse survival outcomes in patients with stage III colon cancer.

Char and colleagues analyzed dietary patterns of a subset of 1625 patients (mean age, 61 years) with resected stage III colon cancer enrolled in the phase 3 CALGB/SWOG 80702 (Alliance) clinical trial, which compared 3 months of adjuvant chemotherapy with 6 months of adjuvant chemotherapy, with or without the anti-inflammatory medication celecoxib.

As part of the trial, participants reported their diet and exercise habits at various timepoints. Their diets were scored using the validated empirical dietary inflammatory pattern (EDIP) tool, which is a weighted sum of 18 food groups — nine proinflammatory and nine anti-inflammatory. A high EDIP score marks a proinflammatory diet, and a low EDIP score indicates a less inflammatory diet.

During median follow-up of nearly 4 years, researchers noted a trend toward worse disease-free survival in patients with high proinflammatory diets (HR, 1.46), but this association was not significant in the multivariable adjusted model (HR, 1.36; P = .22), Char reported.

However, higher intake of proinflammatory foods was associated with significantly worse overall survival.

Patients who consumed the most proinflammatory foods (top 20%) had an 87% higher risk for death compared with those who consumed the least (bottom 20%; HR, 1.87). The median overall survival in the highest quintile was 7.7 years and was not reached in the lowest quintile.

Combine Exercise and Diet for Best Results

To examine the joint effect of physical activity and diet on overall survival, patients were divided into higher and lower levels of physical activity using a cut-off of 9 MET hours per week, which roughly correlates to 30 minutes of vigorous walking five days a week with a little bit of light yoga, Char explained.

In this analysis, patients with less proinflammatory diets and higher physical activity levels had the best overall survival outcomes, with a 63% lower risk for death compared with peers who consumed more pro-inflammatory diets and exercised less (HR, 0.37; P < .0001).

Daily celecoxib use and low-dose aspirin use (< 100 mg/d) did not affect the association between inflammatory diet and survival.

Char cautioned, that while the EDIP tool is useful to measure the inflammatory potential of a diet, “this is not a dietary recommendation, and we need further studies to be able to tailor our findings into dietary recommendations that can be provided to patients at the bedside.”

Gralow said this “early but promising observational study suggests a powerful synergy: Patients with stage III colon cancer who embraced anti-inflammatory foods and exercised regularly showed the best overall survival compared to those with inflammatory diets and limited exercise.”

The CHALLENGE trial was funded by the Canadian Cancer Society, the National Health and Medical Research Council, Cancer Research UK, and the University of Sydney Cancer Research Fund. Booth had no disclosures. The diet study was funded by the National Institutes of Health, Pfizer, and the Project P Fund. Char disclosed an advisory/consultant role with Goodpath. Kunz, Gralow and Campbell had no relevant disclosures.

A version of this article first appeared on Medscape.com.

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Can exercise “therapy” and diet improve survival in patients with colon cancer? It appears so, according to two pivotal studies presented at American Society of Clinical Oncology (ASCO) 2025 annual meeting.

In the CHALLENGE trial, a structured exercise program after surgery and adjuvant chemotherapy cut the risk for colon cancer recurrence in patients with stage III and high-risk stage II disease by more than one quarter and the risk for death by more than one third.

“The magnitude of benefit with exercise is substantial. In fact, it is comparable, and in some cases exceeds the magnitude of benefit of many of our very good standard medical therapies in oncology,” study presenter Christopher Booth, MD, with Queen’s University, Kingston, Ontario, Canada, told attendees.

Results of the study were published online in The New England Journal of Medicine to coincide with the presentation at the meeting.

The findings are “nothing short of a major milestone,” said study discussant Peter Campbell, PhD, with Montefiore Einstein Comprehensive Cancer Center, Bronx, New York.

The other study showed that eating a less inflammatory diet may reduce the risk for death in patients with colon cancer, with the greatest benefits seen in those who embraced anti-inflammatory foods and exercised regularly.

“Putting these two abstracts into perspective, we as physicians need to be essentially prescribing healthy diet and exercise. The combination of the two are synergistic,” Julie Gralow, MD, ASCO chief medical officer and executive vice president, told attendees.

Despite the benefits of these lifestyle changes, exercise and diet are meant to supplement, not replace, established colon cancer treatments.

It would be a false binary to frame this as lifestyle vs cancer treatment, explained Mark Lewis, MD, director of Gastrointestinal Oncology at Intermountain Healthcare in Salt Lake City, Utah. With exercise, for instance, “the key is giving enough chemo to protect against recurrence and eliminate micrometastases but not so much that we cause neuropathy and reduce function and ability to follow the CHALLENGE structured program,” Lewis said.

Exercise and Survival

Colon cancer remains the second-leading cause of cancer death worldwide. Even with surgery and chemotherapy, roughly 30% of patients with stage III and high-risk stage II colon cancer will experience disease recurrence.

“As oncologists, one of the most common questions we get asked by patients is — what else can I do to improve my outcome?” Booth said.

Observational studies published nearly two decades ago hinted that physically active cancer survivors fare better, but no randomized trial has definitively tested whether exercise could alter disease course. That knowledge gap prompted the Canadian Cancer Trials Group to launch the CHALLENGE trial.

Between 2009 and 2023, the phase 3 study enrolled 889 adults (median age, 61 years; 51% women) who had completed surgery and adjuvant chemotherapy for stage III (90%) or high-risk stage II (10%) colon cancer. Most patients were from Canada and Australia and were enrolled 2-6 months after completing chemotherapy.

Half of study participants were randomly allocated to a structured exercise program (n = 445) and half to receive standard health education materials promoting physical activity and healthy eating (control individuals, n = 444).

As part of the structured exercise intervention, patients met with a physical activity consultant twice a month for the first 6 months. These sessions included exercise coaching and supervised exercise. Patients could choose their preferred aerobic exercise and most picked brisk walking.

The consultants gave each patient an “exercise prescription” to hit a specific amount of exercise. The target was an additional 10 metabolic equivalent (MET)–hours of aerobic activity per week — about three to four brisk walks each lasting 45-60 minutes. After 6 months, patients met with their consultants once a month, with additional sessions available for extra support if needed.

Structured exercise led to “substantial and sustained” increases in the amount of exercise participants did, as well as physiologic measures of their fitness, with “highly relevant” improvements in VO2 max, 6-minute walk test, and patient-reported physical function, underscoring that participants were not only exercising more but also getting fitter, Booth said.

Exercise was associated with a clinically meaningful and statistically significant 28% reduction in the risk for recurrent or new cancer (hazard ratio [HR], 0.72; P = .017), with a 5-year disease free survival rate of 80% in the exercise group and 74% in the control group.

In other words, “for every 16 patients that went on the exercise program, exercise prevented 1 person from recurrent or new cancer” at 5 years, Booth reported.

Overall survival results were “even more impressive,” he said.

At 8 years, 90% of patients in the exercise program were alive vs 83% of those in the control group, which translated to a 37% lower risk for death (HR, 0.63; P = .022).

“For every 14 patients who went on the exercise program, exercise prevented 1 person from dying” at the 8-year mark, Booth noted.

“Notably, this difference in survival was not driven by difference in cardiovascular deaths but by a reduction in the risk of death from colon cancer,” he said.

Besides a slight uptick in musculoskeletal aches, no major safety signals emerged in the exercise group.

It’s important to note that the survival benefit associated with exercise came after patients had received surgery followed by chemotherapy — in other words, exercise did not replace established cancer treatments. It’s also unclear whether initiating an exercise intervention earlier in the treatment trajectory — before surgery or during chemotherapy, instead of after chemotherapy — could further improve cancer outcomes, the authors noted.

Still, “exercise as an intervention is a no brainer and should be implemented broadly,” said ASCO expert Pamela Kunz, MD, with Yale School of Medicine, New Haven, Connecticut.

Marco Gerlinger, MD, with Barts Cancer Institute, London, England, agreed.

“Oncologists can now make a very clear evidence-based recommendation for patients who just completed their chemotherapy for bowel cancer and are fit enough for such an exercise program,” Gerlinger said in a statement from the nonprofit UK Science Media Centre.

Booth noted that knowledge alone will not be sufficient to allow most patients to change their lifestyle and realize the health benefits.

“The policy implementation piece of this is really key, and we need health systems, hospitals, and payers to invest in these behavior support programs so that patients have access to a physical activity consultant and can realize the health benefits,” he said.

“This intervention is empowering and achievable for patients and with much, much lower cost than many of our therapies. It is also sustainable for health systems,” he concluded.

Diet and Survival

Diet can also affect outcomes in patients with colon cancer.

In the same session describing the CHALLENGE results, Sara Char, MD, with Dana-Farber Cancer Institute in Boston, reported findings showing that consuming a diet high in proinflammatory foods was associated with worse overall survival in patients with stage III colon cancer. A proinflammatory diet includes red and processed meats, sugary drinks, and refined grains, while an anti-inflammatory diet focuses on fruits, vegetables, whole grains, fish, and olive oil.

Chronic systemic inflammation has been implicated in both colon cancer development and in its progression, and elevated levels of inflammatory markers in the blood have previously been associated with worse survival outcomes in patients with stage III colon cancer.

Char and colleagues analyzed dietary patterns of a subset of 1625 patients (mean age, 61 years) with resected stage III colon cancer enrolled in the phase 3 CALGB/SWOG 80702 (Alliance) clinical trial, which compared 3 months of adjuvant chemotherapy with 6 months of adjuvant chemotherapy, with or without the anti-inflammatory medication celecoxib.

As part of the trial, participants reported their diet and exercise habits at various timepoints. Their diets were scored using the validated empirical dietary inflammatory pattern (EDIP) tool, which is a weighted sum of 18 food groups — nine proinflammatory and nine anti-inflammatory. A high EDIP score marks a proinflammatory diet, and a low EDIP score indicates a less inflammatory diet.

During median follow-up of nearly 4 years, researchers noted a trend toward worse disease-free survival in patients with high proinflammatory diets (HR, 1.46), but this association was not significant in the multivariable adjusted model (HR, 1.36; P = .22), Char reported.

However, higher intake of proinflammatory foods was associated with significantly worse overall survival.

Patients who consumed the most proinflammatory foods (top 20%) had an 87% higher risk for death compared with those who consumed the least (bottom 20%; HR, 1.87). The median overall survival in the highest quintile was 7.7 years and was not reached in the lowest quintile.

Combine Exercise and Diet for Best Results

To examine the joint effect of physical activity and diet on overall survival, patients were divided into higher and lower levels of physical activity using a cut-off of 9 MET hours per week, which roughly correlates to 30 minutes of vigorous walking five days a week with a little bit of light yoga, Char explained.

In this analysis, patients with less proinflammatory diets and higher physical activity levels had the best overall survival outcomes, with a 63% lower risk for death compared with peers who consumed more pro-inflammatory diets and exercised less (HR, 0.37; P < .0001).

Daily celecoxib use and low-dose aspirin use (< 100 mg/d) did not affect the association between inflammatory diet and survival.

Char cautioned, that while the EDIP tool is useful to measure the inflammatory potential of a diet, “this is not a dietary recommendation, and we need further studies to be able to tailor our findings into dietary recommendations that can be provided to patients at the bedside.”

Gralow said this “early but promising observational study suggests a powerful synergy: Patients with stage III colon cancer who embraced anti-inflammatory foods and exercised regularly showed the best overall survival compared to those with inflammatory diets and limited exercise.”

The CHALLENGE trial was funded by the Canadian Cancer Society, the National Health and Medical Research Council, Cancer Research UK, and the University of Sydney Cancer Research Fund. Booth had no disclosures. The diet study was funded by the National Institutes of Health, Pfizer, and the Project P Fund. Char disclosed an advisory/consultant role with Goodpath. Kunz, Gralow and Campbell had no relevant disclosures.

A version of this article first appeared on Medscape.com.

Can exercise “therapy” and diet improve survival in patients with colon cancer? It appears so, according to two pivotal studies presented at American Society of Clinical Oncology (ASCO) 2025 annual meeting.

In the CHALLENGE trial, a structured exercise program after surgery and adjuvant chemotherapy cut the risk for colon cancer recurrence in patients with stage III and high-risk stage II disease by more than one quarter and the risk for death by more than one third.

“The magnitude of benefit with exercise is substantial. In fact, it is comparable, and in some cases exceeds the magnitude of benefit of many of our very good standard medical therapies in oncology,” study presenter Christopher Booth, MD, with Queen’s University, Kingston, Ontario, Canada, told attendees.

Results of the study were published online in The New England Journal of Medicine to coincide with the presentation at the meeting.

The findings are “nothing short of a major milestone,” said study discussant Peter Campbell, PhD, with Montefiore Einstein Comprehensive Cancer Center, Bronx, New York.

The other study showed that eating a less inflammatory diet may reduce the risk for death in patients with colon cancer, with the greatest benefits seen in those who embraced anti-inflammatory foods and exercised regularly.

“Putting these two abstracts into perspective, we as physicians need to be essentially prescribing healthy diet and exercise. The combination of the two are synergistic,” Julie Gralow, MD, ASCO chief medical officer and executive vice president, told attendees.

Despite the benefits of these lifestyle changes, exercise and diet are meant to supplement, not replace, established colon cancer treatments.

It would be a false binary to frame this as lifestyle vs cancer treatment, explained Mark Lewis, MD, director of Gastrointestinal Oncology at Intermountain Healthcare in Salt Lake City, Utah. With exercise, for instance, “the key is giving enough chemo to protect against recurrence and eliminate micrometastases but not so much that we cause neuropathy and reduce function and ability to follow the CHALLENGE structured program,” Lewis said.

Exercise and Survival

Colon cancer remains the second-leading cause of cancer death worldwide. Even with surgery and chemotherapy, roughly 30% of patients with stage III and high-risk stage II colon cancer will experience disease recurrence.

“As oncologists, one of the most common questions we get asked by patients is — what else can I do to improve my outcome?” Booth said.

Observational studies published nearly two decades ago hinted that physically active cancer survivors fare better, but no randomized trial has definitively tested whether exercise could alter disease course. That knowledge gap prompted the Canadian Cancer Trials Group to launch the CHALLENGE trial.

Between 2009 and 2023, the phase 3 study enrolled 889 adults (median age, 61 years; 51% women) who had completed surgery and adjuvant chemotherapy for stage III (90%) or high-risk stage II (10%) colon cancer. Most patients were from Canada and Australia and were enrolled 2-6 months after completing chemotherapy.

Half of study participants were randomly allocated to a structured exercise program (n = 445) and half to receive standard health education materials promoting physical activity and healthy eating (control individuals, n = 444).

As part of the structured exercise intervention, patients met with a physical activity consultant twice a month for the first 6 months. These sessions included exercise coaching and supervised exercise. Patients could choose their preferred aerobic exercise and most picked brisk walking.

The consultants gave each patient an “exercise prescription” to hit a specific amount of exercise. The target was an additional 10 metabolic equivalent (MET)–hours of aerobic activity per week — about three to four brisk walks each lasting 45-60 minutes. After 6 months, patients met with their consultants once a month, with additional sessions available for extra support if needed.

Structured exercise led to “substantial and sustained” increases in the amount of exercise participants did, as well as physiologic measures of their fitness, with “highly relevant” improvements in VO2 max, 6-minute walk test, and patient-reported physical function, underscoring that participants were not only exercising more but also getting fitter, Booth said.

Exercise was associated with a clinically meaningful and statistically significant 28% reduction in the risk for recurrent or new cancer (hazard ratio [HR], 0.72; P = .017), with a 5-year disease free survival rate of 80% in the exercise group and 74% in the control group.

In other words, “for every 16 patients that went on the exercise program, exercise prevented 1 person from recurrent or new cancer” at 5 years, Booth reported.

Overall survival results were “even more impressive,” he said.

At 8 years, 90% of patients in the exercise program were alive vs 83% of those in the control group, which translated to a 37% lower risk for death (HR, 0.63; P = .022).

“For every 14 patients who went on the exercise program, exercise prevented 1 person from dying” at the 8-year mark, Booth noted.

“Notably, this difference in survival was not driven by difference in cardiovascular deaths but by a reduction in the risk of death from colon cancer,” he said.

Besides a slight uptick in musculoskeletal aches, no major safety signals emerged in the exercise group.

It’s important to note that the survival benefit associated with exercise came after patients had received surgery followed by chemotherapy — in other words, exercise did not replace established cancer treatments. It’s also unclear whether initiating an exercise intervention earlier in the treatment trajectory — before surgery or during chemotherapy, instead of after chemotherapy — could further improve cancer outcomes, the authors noted.

Still, “exercise as an intervention is a no brainer and should be implemented broadly,” said ASCO expert Pamela Kunz, MD, with Yale School of Medicine, New Haven, Connecticut.

Marco Gerlinger, MD, with Barts Cancer Institute, London, England, agreed.

“Oncologists can now make a very clear evidence-based recommendation for patients who just completed their chemotherapy for bowel cancer and are fit enough for such an exercise program,” Gerlinger said in a statement from the nonprofit UK Science Media Centre.

Booth noted that knowledge alone will not be sufficient to allow most patients to change their lifestyle and realize the health benefits.

“The policy implementation piece of this is really key, and we need health systems, hospitals, and payers to invest in these behavior support programs so that patients have access to a physical activity consultant and can realize the health benefits,” he said.

“This intervention is empowering and achievable for patients and with much, much lower cost than many of our therapies. It is also sustainable for health systems,” he concluded.

Diet and Survival

Diet can also affect outcomes in patients with colon cancer.

In the same session describing the CHALLENGE results, Sara Char, MD, with Dana-Farber Cancer Institute in Boston, reported findings showing that consuming a diet high in proinflammatory foods was associated with worse overall survival in patients with stage III colon cancer. A proinflammatory diet includes red and processed meats, sugary drinks, and refined grains, while an anti-inflammatory diet focuses on fruits, vegetables, whole grains, fish, and olive oil.

Chronic systemic inflammation has been implicated in both colon cancer development and in its progression, and elevated levels of inflammatory markers in the blood have previously been associated with worse survival outcomes in patients with stage III colon cancer.

Char and colleagues analyzed dietary patterns of a subset of 1625 patients (mean age, 61 years) with resected stage III colon cancer enrolled in the phase 3 CALGB/SWOG 80702 (Alliance) clinical trial, which compared 3 months of adjuvant chemotherapy with 6 months of adjuvant chemotherapy, with or without the anti-inflammatory medication celecoxib.

As part of the trial, participants reported their diet and exercise habits at various timepoints. Their diets were scored using the validated empirical dietary inflammatory pattern (EDIP) tool, which is a weighted sum of 18 food groups — nine proinflammatory and nine anti-inflammatory. A high EDIP score marks a proinflammatory diet, and a low EDIP score indicates a less inflammatory diet.

During median follow-up of nearly 4 years, researchers noted a trend toward worse disease-free survival in patients with high proinflammatory diets (HR, 1.46), but this association was not significant in the multivariable adjusted model (HR, 1.36; P = .22), Char reported.

However, higher intake of proinflammatory foods was associated with significantly worse overall survival.

Patients who consumed the most proinflammatory foods (top 20%) had an 87% higher risk for death compared with those who consumed the least (bottom 20%; HR, 1.87). The median overall survival in the highest quintile was 7.7 years and was not reached in the lowest quintile.

Combine Exercise and Diet for Best Results

To examine the joint effect of physical activity and diet on overall survival, patients were divided into higher and lower levels of physical activity using a cut-off of 9 MET hours per week, which roughly correlates to 30 minutes of vigorous walking five days a week with a little bit of light yoga, Char explained.

In this analysis, patients with less proinflammatory diets and higher physical activity levels had the best overall survival outcomes, with a 63% lower risk for death compared with peers who consumed more pro-inflammatory diets and exercised less (HR, 0.37; P < .0001).

Daily celecoxib use and low-dose aspirin use (< 100 mg/d) did not affect the association between inflammatory diet and survival.

Char cautioned, that while the EDIP tool is useful to measure the inflammatory potential of a diet, “this is not a dietary recommendation, and we need further studies to be able to tailor our findings into dietary recommendations that can be provided to patients at the bedside.”

Gralow said this “early but promising observational study suggests a powerful synergy: Patients with stage III colon cancer who embraced anti-inflammatory foods and exercised regularly showed the best overall survival compared to those with inflammatory diets and limited exercise.”

The CHALLENGE trial was funded by the Canadian Cancer Society, the National Health and Medical Research Council, Cancer Research UK, and the University of Sydney Cancer Research Fund. Booth had no disclosures. The diet study was funded by the National Institutes of Health, Pfizer, and the Project P Fund. Char disclosed an advisory/consultant role with Goodpath. Kunz, Gralow and Campbell had no relevant disclosures.

A version of this article first appeared on Medscape.com.

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Genomic Testing Reveals Distinct Mutation Patterns in Black and White Veterans With Metastatic Prostate Cancer

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TOPLINE: Next-generation sequencing (NGS) analysis of 5015 veterans with metastatic prostate cancer reveals distinct genomic patterns between non-Hispanic Black and White patients, with Black veterans showing higher odds of immunotherapy targets but lower odds of androgen receptor axis alterations. However, the rates of survival were similar despite the differences.

METHODOLOGY: 
Researchers conducted a retrospective cohort study comparing alteration frequencies between 1784 non-Hispanic Black (35.6%) and 3,231 non-Hispanic White (64.4%) veterans who underwent NGS testing from January 23, 2019, to November 2, 2023.

  •      Analysis included DNA sequencing data from tissue or plasma biospecimens, including prostate biopsy specimens, radical prostatectomy specimens, and prostate cancer metastases, all sequenced with FoundationOne CDx or FoundationOne Liquid CDx platforms.
  •      Investigators examined pathogenic alterations in individual genes, actionable targets, and canonical prostate cancer pathways, while adjusting for NGS analyte and clinicopathologic covariates.
  •      Researchers evaluated associations between alteration frequency and race as well as survival through Cox proportional hazards modeling, stratified by race and adjusted for clinical factors.

TAKEAWAY:
Non-Hispanic Black race and ethnicity was associated with higher odds of genomic alterations in SPOP (odds ratio [OR], 1.7; 95% confidence interval [CI], 1.2-2.6) and immunotherapy targets (OR, 1.7; 95% CI, 1.1-2.5), including high microsatellite instability status (OR, 3.1; 95% CI, 1.1-9.4).

  •      Non-Hispanic Black veterans showed lower odds of genomic alterations in the AKT/PI3K pathway (OR, 0.6; 95% CI, 0.4-0.7), androgen receptor axis (OR, 0.7; 95% CI, 0.5-0.9), and tumor suppressor genes (OR, 0.7; 95% CI, 0.5-0.8).
  •      Tumor suppressor alterations were associated with shorter overall survival in both non-Hispanic Black (hazard ratio [HR], 1.54; 95% CI, 1.13-2.11) and non-Hispanic White (HR, 1.52; 95% CI, 1.25-1.85) veterans.
  •      CDK12 alterations significantly increased the hazard of death in non-Hispanic Black veterans (HR, 2.04; 95% CI, 1.13-3.67), while immunotherapy targets were associated with increased mortality in non-Hispanic White veterans (HR, 1.44; 95% CI, 1.02-2.02).

IN PRACTICE: " we did not identify any genomic alterations or biomarkers that should not be tested in PCa based on patient self-identified race. Ultimately, this work emphasizes that precision oncology enables the individualization of treatment decisions without having to rely on imprecise characteristics such as self-identified race.," wrote the study authors.

SOURCE: Isla P. Garraway, MD, PhD; Kosj Yamoah, MD, PhD; and Kara N. Maxwell, MD, PhD were co-senior authors. The article was published online on May 12 in JAMA Network Open.

LIMITATIONS: According to the authors, a lack of matched germline data for patients, complicated the interpretation of plasma results. In addition, survivorship bias may have inadvertently excluded the most aggressive metastatic prostate cancer phenotypes, as patients who did not live long enough to undergo NGS testing were not included. Results seen in the veteran population served by the Veterans Health Administration may not be generalizable to the broader population.

DISCLOSURES: The study received support from Challenge Award PCF22CHALO2 from the Prostate Cancer Foundation and the Veterans Affairs National Precision Oncology Program. Luca F. Valle, MD, reported receiving grant support from the Bristol Myers Squibb Foundation during the conduct of the study. Additional disclosures are noted in the original article.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication.

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TOPLINE: Next-generation sequencing (NGS) analysis of 5015 veterans with metastatic prostate cancer reveals distinct genomic patterns between non-Hispanic Black and White patients, with Black veterans showing higher odds of immunotherapy targets but lower odds of androgen receptor axis alterations. However, the rates of survival were similar despite the differences.

METHODOLOGY: 
Researchers conducted a retrospective cohort study comparing alteration frequencies between 1784 non-Hispanic Black (35.6%) and 3,231 non-Hispanic White (64.4%) veterans who underwent NGS testing from January 23, 2019, to November 2, 2023.

  •      Analysis included DNA sequencing data from tissue or plasma biospecimens, including prostate biopsy specimens, radical prostatectomy specimens, and prostate cancer metastases, all sequenced with FoundationOne CDx or FoundationOne Liquid CDx platforms.
  •      Investigators examined pathogenic alterations in individual genes, actionable targets, and canonical prostate cancer pathways, while adjusting for NGS analyte and clinicopathologic covariates.
  •      Researchers evaluated associations between alteration frequency and race as well as survival through Cox proportional hazards modeling, stratified by race and adjusted for clinical factors.

TAKEAWAY:
Non-Hispanic Black race and ethnicity was associated with higher odds of genomic alterations in SPOP (odds ratio [OR], 1.7; 95% confidence interval [CI], 1.2-2.6) and immunotherapy targets (OR, 1.7; 95% CI, 1.1-2.5), including high microsatellite instability status (OR, 3.1; 95% CI, 1.1-9.4).

  •      Non-Hispanic Black veterans showed lower odds of genomic alterations in the AKT/PI3K pathway (OR, 0.6; 95% CI, 0.4-0.7), androgen receptor axis (OR, 0.7; 95% CI, 0.5-0.9), and tumor suppressor genes (OR, 0.7; 95% CI, 0.5-0.8).
  •      Tumor suppressor alterations were associated with shorter overall survival in both non-Hispanic Black (hazard ratio [HR], 1.54; 95% CI, 1.13-2.11) and non-Hispanic White (HR, 1.52; 95% CI, 1.25-1.85) veterans.
  •      CDK12 alterations significantly increased the hazard of death in non-Hispanic Black veterans (HR, 2.04; 95% CI, 1.13-3.67), while immunotherapy targets were associated with increased mortality in non-Hispanic White veterans (HR, 1.44; 95% CI, 1.02-2.02).

IN PRACTICE: " we did not identify any genomic alterations or biomarkers that should not be tested in PCa based on patient self-identified race. Ultimately, this work emphasizes that precision oncology enables the individualization of treatment decisions without having to rely on imprecise characteristics such as self-identified race.," wrote the study authors.

SOURCE: Isla P. Garraway, MD, PhD; Kosj Yamoah, MD, PhD; and Kara N. Maxwell, MD, PhD were co-senior authors. The article was published online on May 12 in JAMA Network Open.

LIMITATIONS: According to the authors, a lack of matched germline data for patients, complicated the interpretation of plasma results. In addition, survivorship bias may have inadvertently excluded the most aggressive metastatic prostate cancer phenotypes, as patients who did not live long enough to undergo NGS testing were not included. Results seen in the veteran population served by the Veterans Health Administration may not be generalizable to the broader population.

DISCLOSURES: The study received support from Challenge Award PCF22CHALO2 from the Prostate Cancer Foundation and the Veterans Affairs National Precision Oncology Program. Luca F. Valle, MD, reported receiving grant support from the Bristol Myers Squibb Foundation during the conduct of the study. Additional disclosures are noted in the original article.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication.

TOPLINE: Next-generation sequencing (NGS) analysis of 5015 veterans with metastatic prostate cancer reveals distinct genomic patterns between non-Hispanic Black and White patients, with Black veterans showing higher odds of immunotherapy targets but lower odds of androgen receptor axis alterations. However, the rates of survival were similar despite the differences.

METHODOLOGY: 
Researchers conducted a retrospective cohort study comparing alteration frequencies between 1784 non-Hispanic Black (35.6%) and 3,231 non-Hispanic White (64.4%) veterans who underwent NGS testing from January 23, 2019, to November 2, 2023.

  •      Analysis included DNA sequencing data from tissue or plasma biospecimens, including prostate biopsy specimens, radical prostatectomy specimens, and prostate cancer metastases, all sequenced with FoundationOne CDx or FoundationOne Liquid CDx platforms.
  •      Investigators examined pathogenic alterations in individual genes, actionable targets, and canonical prostate cancer pathways, while adjusting for NGS analyte and clinicopathologic covariates.
  •      Researchers evaluated associations between alteration frequency and race as well as survival through Cox proportional hazards modeling, stratified by race and adjusted for clinical factors.

TAKEAWAY:
Non-Hispanic Black race and ethnicity was associated with higher odds of genomic alterations in SPOP (odds ratio [OR], 1.7; 95% confidence interval [CI], 1.2-2.6) and immunotherapy targets (OR, 1.7; 95% CI, 1.1-2.5), including high microsatellite instability status (OR, 3.1; 95% CI, 1.1-9.4).

  •      Non-Hispanic Black veterans showed lower odds of genomic alterations in the AKT/PI3K pathway (OR, 0.6; 95% CI, 0.4-0.7), androgen receptor axis (OR, 0.7; 95% CI, 0.5-0.9), and tumor suppressor genes (OR, 0.7; 95% CI, 0.5-0.8).
  •      Tumor suppressor alterations were associated with shorter overall survival in both non-Hispanic Black (hazard ratio [HR], 1.54; 95% CI, 1.13-2.11) and non-Hispanic White (HR, 1.52; 95% CI, 1.25-1.85) veterans.
  •      CDK12 alterations significantly increased the hazard of death in non-Hispanic Black veterans (HR, 2.04; 95% CI, 1.13-3.67), while immunotherapy targets were associated with increased mortality in non-Hispanic White veterans (HR, 1.44; 95% CI, 1.02-2.02).

IN PRACTICE: " we did not identify any genomic alterations or biomarkers that should not be tested in PCa based on patient self-identified race. Ultimately, this work emphasizes that precision oncology enables the individualization of treatment decisions without having to rely on imprecise characteristics such as self-identified race.," wrote the study authors.

SOURCE: Isla P. Garraway, MD, PhD; Kosj Yamoah, MD, PhD; and Kara N. Maxwell, MD, PhD were co-senior authors. The article was published online on May 12 in JAMA Network Open.

LIMITATIONS: According to the authors, a lack of matched germline data for patients, complicated the interpretation of plasma results. In addition, survivorship bias may have inadvertently excluded the most aggressive metastatic prostate cancer phenotypes, as patients who did not live long enough to undergo NGS testing were not included. Results seen in the veteran population served by the Veterans Health Administration may not be generalizable to the broader population.

DISCLOSURES: The study received support from Challenge Award PCF22CHALO2 from the Prostate Cancer Foundation and the Veterans Affairs National Precision Oncology Program. Luca F. Valle, MD, reported receiving grant support from the Bristol Myers Squibb Foundation during the conduct of the study. Additional disclosures are noted in the original article.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication.

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Are Your Patients With COPD Inhaling Eucalyptus Oil? Know the Risks

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There’s been renewed interest in recent years for concentrated essential oils to replace or complement pharmaceutical treatments. This is especially concerning among patients with chronic obstructive pulmonary disease (COPD), who might be eager to turn to alternatives but are unaware that COPD increases sensitivity to lung irritants like essential oils.

Eucalyptus oil might be at or near the top of the essential oils list for these patients, given its storied history in both ancient and modern medicine for treating colds and respiratory illnesses. Its inclusion in the United States and European pharmacopoeias has also reinforced its legitimacy. And, today, patients are at risk of confusing the primary active ingredient in eucalyptus — the monoterpene 1,8-cineole (eucalyptol, which has been shown to reduce COPD exacerbations when used adjunctively) — with concentrated essential oils that can be purchased online and in stores here in the United States.

“The more potent active ingredient, eucalyptol (in capsule form), is approved in Germany — not the essential oil of eucalyptus, which contains other compounds. I recommend against using any sort of inhaled essential oils for patients with chronic respiratory illnesses, mainly because they are unregulated and unstandardized,” explained Ni-Chen Liang, MD, an integrative pulmonologist affiliated with Scripps Memorial Hospital Encinitas in Encinitas, California.

“The substances that come out when you create eucalyptus oil are a ‘gamash’ of all sorts of chemicals — some benign, some which taste good, and some that may be irritating or even dangerous,” said Neil Schachter, MD, pulmonologist and professor of medicine (pulmonary, critical care, and sleep medicine) at the Icahn School of Medicine at Mount Sinai, New York City.

“They can also produce volatile organic compounds (VOCs) related to their formulas, which contain fillers and other constituents,” Liang said.

 

Hidden Dangers

Eucalyptus oil was first used by Aboriginal Australians, who crushed the leaves for their antiseptic properties or steamed them for their expectorant activity. Today, eucalyptus oil can be found in mouthwash and soap, used topically to relieve pain or repel insects, or added to cleaning products due to its disinfectant properties.

However, inhalation via diffusers or directly from the bottle can trigger different respiratory reactions, including cough, wheezing, shortness of breath, as well as respiratory distress. 

“The vapors contain oil, ie, fatty products that can be irritating in and of themselves,” said Schachter. “There are cases where people have inhaled these oils and developed lipid pneumonia, which is very hard to treat,” he said.

Anything inhaled into the lungs is a risk, said Juan Rojas, MD, assistant professor, Department of Internal Medicine, Division of Pulmonary, Critical Care, and Sleep Medicine at Rush University Medical Center in Chicago. Rojas compared inhaling essential oils to e-cigarettes, which, in addition to tobacco, contain a variety of chemicals and additives that cause a lung reaction in the short term and create inflammatory patterns in the medium and long term.

“Another problem is that when ingested, eucalyptus oil can be distressing to the gastrointestinal tract. In larger doses, it can actually have some neurological impact as well, including seizures,” said Kalilah L. Gates, MD, associate professor of medicine (pulmonary and critical care) and assistant dean of medical education at Northwestern Feinberg School of Medicine in Chicago.

Clinical trial data have also shown a significant association between long-term exposure to essential oils and cardiopulmonary effects such as increased heart rate and blood pressure and a decline in percentage predicted peak expiratory flow rate in healthy volunteers. In the study of 200 participants (who were homemakers), long-term exposure referred to daily hours (> 4/d) and the study period, which was 10 years.

 

About Eucalyptol

Eucalyptol is rapidly absorbed and quickly distributed throughout the bloodstream, which allows it to reach the bronchial system, where it is expelled by the lungs. It’s been shown in various preclinical studies to have anti-inflammatory, antioxidant, mucolytic, and bronchodilatory activity, as well as antimicrobial effects.

For the past decade, enteric-coated eucalyptol capsules containing 100 mg or 200 mg of 1,8-cineole have been available in Germany for adjunctive treatment of inflammatory respiratory disorders, including asthma and COPD. Due to its limited bioactivity, frequent administration is required.

Clinical evidence of eucalyptol’s effectiveness is somewhat limited. Findings from a 2009 double-blind, placebo-controlled, multicenter study also demonstrated that when used along with beta-agonists, anticholinergics, corticosteroids, or combinations in patients with stable COPD, severity and duration of exacerbations over 6 months were significantly decreased compared with placebo.

However, Liang was quick to point out that studies of oral eucalyptol preparations in pulmonary patients have not been robust enough.

“I haven’t been able to find anything written by a multitude of different authors, which, to me, is a red flag. We want naturally occurring substances to be well tested in multicenter studies across a variety of different patient populations outside of Germany to ensure that results are reproducible,” she said.

Rojas concurred. “Even with the data in Europe, I would say that the studies have been underpowered to support large-scale adoption or suggest that the active ingredient for patients with moderate or severe COPD could be considered an adjunctive therapy with traditional medications,” he said.

“It would be difficult for me to make a recommendation without knowing the full impact,” said Rojas.

 

Open Dialogue

Like many chronic diseases, it’s important to meet patients where they are, including their use of unapproved or unwise treatment strategies.

“More times than not, they’ve already figured out their triggers for worsening respiratory symptoms, what does and doesn’t work for them, and what predicts a good vs a bad day from a respiratory standpoint,” said Liang.

“There’s a lot of popularity and claims related to essential oil use, and ultimately, we need to partner to find healing modalities (which may or may not include essential oils) that are ultimately helpful and minimize harm,” she said.

Gates suggested that when it comes to eucalyptus essential oil vs eucalyptol, education of both patients and doctors is key.

“The issue is that we had a study showing that a particular component — the active ingredient of eucalyptus oil was isolated and put into the capsule form and showed benefit. And then we extrapolated and said, ‘well, let’s just take (or inhale) eucalyptus oil. It’s not the same thing,” she said.

“I feel that it’s my responsibility to make sure that patients have the information they need to make informed decisions. It’s about being willing to communicate and have open conversations about what they may be taking in addition to medications that I prescribe,” said Gates.

Liang, Schachter, Rojas, and Gates reported no relevant financial relationships.

A version of this article first appeared on Medscape.com.

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There’s been renewed interest in recent years for concentrated essential oils to replace or complement pharmaceutical treatments. This is especially concerning among patients with chronic obstructive pulmonary disease (COPD), who might be eager to turn to alternatives but are unaware that COPD increases sensitivity to lung irritants like essential oils.

Eucalyptus oil might be at or near the top of the essential oils list for these patients, given its storied history in both ancient and modern medicine for treating colds and respiratory illnesses. Its inclusion in the United States and European pharmacopoeias has also reinforced its legitimacy. And, today, patients are at risk of confusing the primary active ingredient in eucalyptus — the monoterpene 1,8-cineole (eucalyptol, which has been shown to reduce COPD exacerbations when used adjunctively) — with concentrated essential oils that can be purchased online and in stores here in the United States.

“The more potent active ingredient, eucalyptol (in capsule form), is approved in Germany — not the essential oil of eucalyptus, which contains other compounds. I recommend against using any sort of inhaled essential oils for patients with chronic respiratory illnesses, mainly because they are unregulated and unstandardized,” explained Ni-Chen Liang, MD, an integrative pulmonologist affiliated with Scripps Memorial Hospital Encinitas in Encinitas, California.

“The substances that come out when you create eucalyptus oil are a ‘gamash’ of all sorts of chemicals — some benign, some which taste good, and some that may be irritating or even dangerous,” said Neil Schachter, MD, pulmonologist and professor of medicine (pulmonary, critical care, and sleep medicine) at the Icahn School of Medicine at Mount Sinai, New York City.

“They can also produce volatile organic compounds (VOCs) related to their formulas, which contain fillers and other constituents,” Liang said.

 

Hidden Dangers

Eucalyptus oil was first used by Aboriginal Australians, who crushed the leaves for their antiseptic properties or steamed them for their expectorant activity. Today, eucalyptus oil can be found in mouthwash and soap, used topically to relieve pain or repel insects, or added to cleaning products due to its disinfectant properties.

However, inhalation via diffusers or directly from the bottle can trigger different respiratory reactions, including cough, wheezing, shortness of breath, as well as respiratory distress. 

“The vapors contain oil, ie, fatty products that can be irritating in and of themselves,” said Schachter. “There are cases where people have inhaled these oils and developed lipid pneumonia, which is very hard to treat,” he said.

Anything inhaled into the lungs is a risk, said Juan Rojas, MD, assistant professor, Department of Internal Medicine, Division of Pulmonary, Critical Care, and Sleep Medicine at Rush University Medical Center in Chicago. Rojas compared inhaling essential oils to e-cigarettes, which, in addition to tobacco, contain a variety of chemicals and additives that cause a lung reaction in the short term and create inflammatory patterns in the medium and long term.

“Another problem is that when ingested, eucalyptus oil can be distressing to the gastrointestinal tract. In larger doses, it can actually have some neurological impact as well, including seizures,” said Kalilah L. Gates, MD, associate professor of medicine (pulmonary and critical care) and assistant dean of medical education at Northwestern Feinberg School of Medicine in Chicago.

Clinical trial data have also shown a significant association between long-term exposure to essential oils and cardiopulmonary effects such as increased heart rate and blood pressure and a decline in percentage predicted peak expiratory flow rate in healthy volunteers. In the study of 200 participants (who were homemakers), long-term exposure referred to daily hours (> 4/d) and the study period, which was 10 years.

 

About Eucalyptol

Eucalyptol is rapidly absorbed and quickly distributed throughout the bloodstream, which allows it to reach the bronchial system, where it is expelled by the lungs. It’s been shown in various preclinical studies to have anti-inflammatory, antioxidant, mucolytic, and bronchodilatory activity, as well as antimicrobial effects.

For the past decade, enteric-coated eucalyptol capsules containing 100 mg or 200 mg of 1,8-cineole have been available in Germany for adjunctive treatment of inflammatory respiratory disorders, including asthma and COPD. Due to its limited bioactivity, frequent administration is required.

Clinical evidence of eucalyptol’s effectiveness is somewhat limited. Findings from a 2009 double-blind, placebo-controlled, multicenter study also demonstrated that when used along with beta-agonists, anticholinergics, corticosteroids, or combinations in patients with stable COPD, severity and duration of exacerbations over 6 months were significantly decreased compared with placebo.

However, Liang was quick to point out that studies of oral eucalyptol preparations in pulmonary patients have not been robust enough.

“I haven’t been able to find anything written by a multitude of different authors, which, to me, is a red flag. We want naturally occurring substances to be well tested in multicenter studies across a variety of different patient populations outside of Germany to ensure that results are reproducible,” she said.

Rojas concurred. “Even with the data in Europe, I would say that the studies have been underpowered to support large-scale adoption or suggest that the active ingredient for patients with moderate or severe COPD could be considered an adjunctive therapy with traditional medications,” he said.

“It would be difficult for me to make a recommendation without knowing the full impact,” said Rojas.

 

Open Dialogue

Like many chronic diseases, it’s important to meet patients where they are, including their use of unapproved or unwise treatment strategies.

“More times than not, they’ve already figured out their triggers for worsening respiratory symptoms, what does and doesn’t work for them, and what predicts a good vs a bad day from a respiratory standpoint,” said Liang.

“There’s a lot of popularity and claims related to essential oil use, and ultimately, we need to partner to find healing modalities (which may or may not include essential oils) that are ultimately helpful and minimize harm,” she said.

Gates suggested that when it comes to eucalyptus essential oil vs eucalyptol, education of both patients and doctors is key.

“The issue is that we had a study showing that a particular component — the active ingredient of eucalyptus oil was isolated and put into the capsule form and showed benefit. And then we extrapolated and said, ‘well, let’s just take (or inhale) eucalyptus oil. It’s not the same thing,” she said.

“I feel that it’s my responsibility to make sure that patients have the information they need to make informed decisions. It’s about being willing to communicate and have open conversations about what they may be taking in addition to medications that I prescribe,” said Gates.

Liang, Schachter, Rojas, and Gates reported no relevant financial relationships.

A version of this article first appeared on Medscape.com.

There’s been renewed interest in recent years for concentrated essential oils to replace or complement pharmaceutical treatments. This is especially concerning among patients with chronic obstructive pulmonary disease (COPD), who might be eager to turn to alternatives but are unaware that COPD increases sensitivity to lung irritants like essential oils.

Eucalyptus oil might be at or near the top of the essential oils list for these patients, given its storied history in both ancient and modern medicine for treating colds and respiratory illnesses. Its inclusion in the United States and European pharmacopoeias has also reinforced its legitimacy. And, today, patients are at risk of confusing the primary active ingredient in eucalyptus — the monoterpene 1,8-cineole (eucalyptol, which has been shown to reduce COPD exacerbations when used adjunctively) — with concentrated essential oils that can be purchased online and in stores here in the United States.

“The more potent active ingredient, eucalyptol (in capsule form), is approved in Germany — not the essential oil of eucalyptus, which contains other compounds. I recommend against using any sort of inhaled essential oils for patients with chronic respiratory illnesses, mainly because they are unregulated and unstandardized,” explained Ni-Chen Liang, MD, an integrative pulmonologist affiliated with Scripps Memorial Hospital Encinitas in Encinitas, California.

“The substances that come out when you create eucalyptus oil are a ‘gamash’ of all sorts of chemicals — some benign, some which taste good, and some that may be irritating or even dangerous,” said Neil Schachter, MD, pulmonologist and professor of medicine (pulmonary, critical care, and sleep medicine) at the Icahn School of Medicine at Mount Sinai, New York City.

“They can also produce volatile organic compounds (VOCs) related to their formulas, which contain fillers and other constituents,” Liang said.

 

Hidden Dangers

Eucalyptus oil was first used by Aboriginal Australians, who crushed the leaves for their antiseptic properties or steamed them for their expectorant activity. Today, eucalyptus oil can be found in mouthwash and soap, used topically to relieve pain or repel insects, or added to cleaning products due to its disinfectant properties.

However, inhalation via diffusers or directly from the bottle can trigger different respiratory reactions, including cough, wheezing, shortness of breath, as well as respiratory distress. 

“The vapors contain oil, ie, fatty products that can be irritating in and of themselves,” said Schachter. “There are cases where people have inhaled these oils and developed lipid pneumonia, which is very hard to treat,” he said.

Anything inhaled into the lungs is a risk, said Juan Rojas, MD, assistant professor, Department of Internal Medicine, Division of Pulmonary, Critical Care, and Sleep Medicine at Rush University Medical Center in Chicago. Rojas compared inhaling essential oils to e-cigarettes, which, in addition to tobacco, contain a variety of chemicals and additives that cause a lung reaction in the short term and create inflammatory patterns in the medium and long term.

“Another problem is that when ingested, eucalyptus oil can be distressing to the gastrointestinal tract. In larger doses, it can actually have some neurological impact as well, including seizures,” said Kalilah L. Gates, MD, associate professor of medicine (pulmonary and critical care) and assistant dean of medical education at Northwestern Feinberg School of Medicine in Chicago.

Clinical trial data have also shown a significant association between long-term exposure to essential oils and cardiopulmonary effects such as increased heart rate and blood pressure and a decline in percentage predicted peak expiratory flow rate in healthy volunteers. In the study of 200 participants (who were homemakers), long-term exposure referred to daily hours (> 4/d) and the study period, which was 10 years.

 

About Eucalyptol

Eucalyptol is rapidly absorbed and quickly distributed throughout the bloodstream, which allows it to reach the bronchial system, where it is expelled by the lungs. It’s been shown in various preclinical studies to have anti-inflammatory, antioxidant, mucolytic, and bronchodilatory activity, as well as antimicrobial effects.

For the past decade, enteric-coated eucalyptol capsules containing 100 mg or 200 mg of 1,8-cineole have been available in Germany for adjunctive treatment of inflammatory respiratory disorders, including asthma and COPD. Due to its limited bioactivity, frequent administration is required.

Clinical evidence of eucalyptol’s effectiveness is somewhat limited. Findings from a 2009 double-blind, placebo-controlled, multicenter study also demonstrated that when used along with beta-agonists, anticholinergics, corticosteroids, or combinations in patients with stable COPD, severity and duration of exacerbations over 6 months were significantly decreased compared with placebo.

However, Liang was quick to point out that studies of oral eucalyptol preparations in pulmonary patients have not been robust enough.

“I haven’t been able to find anything written by a multitude of different authors, which, to me, is a red flag. We want naturally occurring substances to be well tested in multicenter studies across a variety of different patient populations outside of Germany to ensure that results are reproducible,” she said.

Rojas concurred. “Even with the data in Europe, I would say that the studies have been underpowered to support large-scale adoption or suggest that the active ingredient for patients with moderate or severe COPD could be considered an adjunctive therapy with traditional medications,” he said.

“It would be difficult for me to make a recommendation without knowing the full impact,” said Rojas.

 

Open Dialogue

Like many chronic diseases, it’s important to meet patients where they are, including their use of unapproved or unwise treatment strategies.

“More times than not, they’ve already figured out their triggers for worsening respiratory symptoms, what does and doesn’t work for them, and what predicts a good vs a bad day from a respiratory standpoint,” said Liang.

“There’s a lot of popularity and claims related to essential oil use, and ultimately, we need to partner to find healing modalities (which may or may not include essential oils) that are ultimately helpful and minimize harm,” she said.

Gates suggested that when it comes to eucalyptus essential oil vs eucalyptol, education of both patients and doctors is key.

“The issue is that we had a study showing that a particular component — the active ingredient of eucalyptus oil was isolated and put into the capsule form and showed benefit. And then we extrapolated and said, ‘well, let’s just take (or inhale) eucalyptus oil. It’s not the same thing,” she said.

“I feel that it’s my responsibility to make sure that patients have the information they need to make informed decisions. It’s about being willing to communicate and have open conversations about what they may be taking in addition to medications that I prescribe,” said Gates.

Liang, Schachter, Rojas, and Gates reported no relevant financial relationships.

A version of this article first appeared on Medscape.com.

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Hurricanes, Fires, Floods: A Rising Threat to Cancer Care

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As Hurricane Helene approached western North Carolina, Martin Palmeri, MD, MBA, didn’t anticipate the storm would disrupt practice operations for more than a day or so.

But the massive rainfall and flooding damage last September proved to be far more challenging. Despite best efforts by the 13-physician practice, basic treatments for most patients were interrupted for about a week.

Flooding washed out some of the major roads leading to the main Asheville clinic and affiliated rural sites, limiting travel and slowing delivery of medications, intravenous (IV) fluids, and other supplies, Palmeri said. Some patients and employees weren’t initially reachable due to the loss of the internet and cell phone service. The storm-related fallout even forced patients to relocate elsewhere for weeks or longer.

During the storm, backup generators kept power on at the Asheville clinic, protecting chemotherapy and other refrigerated drugs, but the storm damaged the municipal water supply.

“Water was the number one thing — how do you get water to the office?” Palmeri said. “You can’t give someone an 8-hour infusion if they don’t have means of going to the toilet or having something to drink.”

Hurricanes. Wildfires. Heat waves. As climate-driven extreme weather has become more common, researchers, oncologists, and patients are increasingly being forced to consider the consequences of these disruptions.

Along with preventing patients and providers from reaching treatment sites, experts said, extreme weather can undercut patients’ health and care in other ways. Patients with more limited lung capacity following lung cancer surgery, for instance, may struggle with breathing during wildfires. Extreme heat can prove risky for patients already dehydrated or weakened by treatment-related side effects. Power outages and severe flooding can affect vital infrastructure, disrupting operations at facilities that manufacture essential drugs. Power outages can also impede radiotherapy, which requires machines powered by electricity.

“Any of these [weather] events can disrupt this critical cancer care continuum among a population of people that already are very vulnerable,” said Joan Casey, PhD, an environmental epidemiologist and associate professor at the University of Washington in Seattle.

 

Extreme Weather and Cancer Survival

For patients with cancer, survival often relies on highly regimented protocols, which may require surgery plus frequent visits for radiation, chemotherapy, or immunotherapy that can last months, said Eric Bernicker, MD, a Colorado oncologist and lead author of a 2023 American Society of Clinical Oncology position statement about the impact of climate change on cancer care.

Interruptions to care, regardless of the cause, can lead to worse outcomes for patients, Bernicker said. “If you’re in the middle of your post-lumpectomy radiation and your radiation center shuts for 2 weeks,” he said, “that is not good.”

Research indicated that even short treatment disruptions can affect outcomes for patients with cancer and that delays caused by extreme weather — which may last for weeks — can affect survival for these patients.

One analysis, published in JAMA Oncology in 2023, found that patients exposed to wildfire within the first year after potentially curative lung cancer surgery had worse survival outcomes than those who weren’t exposed during their recovery.

In another study, patients with lung cancer who had their radiation interrupted when a hurricane struck had a 19% greater risk of dying overall compared with similar patients who were not affected. Another analysis found that patients with breast cancer who were partway through treatment when Hurricane Katrina hit the Louisiana coastline had a significantly greater risk of dying over a 10-year period compared with patients who lived elsewhere.

The potential threats to survival highlighted the impacts of extreme weather on carefully orchestrated systems of care that place patients facing already fragile situations in impossible binds, Casey said.

Douglas Flora, MD, a Kentucky oncologist and president-elect of the Association of Cancer Care Centers, Rockville, Maryland, agreed.

“We’ve seen this with an increasing frequency over the last several years,” Flora said. “It’s one thing if it’s routine follow-up or surveillance care, but many cancer patients’ survivals are directly related to not having interruptions in their care.”

 

Challenging Realities

Following Helene, the most pressing issue was the lack of water, Palmeri said.

The lack of reliable clean water created challenges for patients receiving radiation or chemotherapy infusions, which can cause vomiting and diarrhea that leave patients dehydrated. Toilets were also unusable.

Even when the city of Asheville said the water was likely safe enough to bathe in, local leaders still reported potential risks from bacteria and other contaminants in the water, Palmeri said. Those with a fragile immune system or breaks in the skin “could get serious and life-threatening infections,” he explained.

To make matters worse, damage to a North Carolina facility manufacturing IV fluids left the United States in shortage for months. IV fluids are key not only for providing hydration but also for easing nausea, fatigue, and other issues caused by cancer therapies.

With wildfires, as occurred in southern California early this year, patients undergoing cancer treatment might feel they have no option but to remain near home to continue getting care, Casey said. “It’s restricting their agency in the kinds of choices that they have to make during these severe weather events.”

Meanwhile, thick wildfire smoke can confine patients to their homes, said Lawrence Wagman, MD, a surgical oncologist and a regional medical director at the City of Hope network, who described its main facility in Duarte, California, coming within a dozen miles of the Eaton fire. “One of the biggest problems was so much smoke in the air,” he said. “And the air quality was so low that it was, in many ways, dangerous for patients to travel.”

“These fires were so aggressive, and they kept popping up,” Wagman said. Plus, the emotional strain of looming wildfires persisted for both patients and cancer clinicians for weeks on end, he added.

For those who evacuate, the logistics can be complex.

Not only are cancer treatment plans highly structured, but switching care to another facility is far from easy, Bernicker said. The new facility will likely need to submit a treatment plan and get insurance coverage before moving forward.

“I’m not saying that takes forever,” he said. “But what I’m saying is that it’s not like you just roll in and they hang the [infusion] bag.”

Neither is a shelter typically an option for patients during treatment, said Seth Berkowitz, a licensed clinical social worker and director of Strategic Healthcare Partnerships at The Leukemia & Lymphoma Society. “They have to have a place to go that’s safe and germ-free.”

In western North Carolina, the strain on already ill patients and their caregivers could be overwhelming, Palmeri said. He recounted how the husband of one patient with advanced cancer died after the storm came through.

“He tried to go out there with a chainsaw to clear a way out so that they could get out of their house in case he needed to take her to the hospital,” Palmeri said. “And he had a heart attack there in the driveway.”

 

Rebuilding and Planning Ahead

Experts are only at the early stages of grasping the magnitude of extreme weather on cancer care and developing strategies to curtail care gaps and potential harm to patients, said Katie Lichter, MD, a radiation oncologist at the University of California San Francisco, who studies extreme weather and cancer treatment.

“How does it impact health care delivery services at every step, from prevention to screening to treatment and survivorship?” Lichter asked. “We’re just starting to understand and to even quantify that,” she said, which included identifying patients who are most vulnerable. She worries, in particular, about patients living in rural areas who already travel longer distances and often face more difficulties accessing care.

The gap between research and reality still looms large. A recent analysis, led by Lichter, looked at 176 California radiation oncology clinics and found that all of them were located within 25 miles of a wildfire that had occurred within the prior 5 years. Yet among the 51 clinics that responded to a 2022 survey,just 47% reported that their clinic had a wildfire emergency preparedness plan.

The American Cancer Society does provide some guidance on how patients can prepare for a weather-related crisis, including having extra supplies of medications or special equipment on hand.

Still, providers are often in reaction mode when extreme weather strikes.

Without adequate clean water after Helene, leaders at Palmeri’s practice moved swiftly, purchasing 40,000-50,000 bottles of water and bringing in porta potties from elsewhere. 

“I think we were able to get things up and going very quickly,” said Palmeri, who noted that full services resumed about 10 days after the storm. “For most patients, missing a week of treatment would not do a disservice to their well-being or outcome.”

Going forward, to provide a more comprehensive strategy, Lichter is working with colleagues to develop clinical tool kits to help oncology practices and patients prepare for severe weather events, such as outlining backup treatment contingency plans, ensuring early medication refills, and boosting communication with patient alert systems.

Clinicians are also implementing their own strategies. To limit communication gaps during power outages, Palmeri said that, since Helene, his practice has made sure that their clinic sites, physicians, and other key people now have cell phone service through satellite via Starlink.

“No one has phone books anymore,” he said, so cancer clinicians should keep crucial contact information on paper, such as details about businesses that distribute water and porta potties, given that online searches may not be feasible.

Clinicians should also advise patients to keep a hard copy of recent medical findings handy, including medications and lab results, in case they arrive at an emergency room far from home and physicians can’t access their electronic health record, Bernicker said.

When there is enough advance warning of an approaching weather event, clinicians can help patients keep at least a week’s worth of medication on hand for symptom-related issues, such as nausea or pain, as well as antibiotics so patients don’t have to seek out emergency care during the crisis, Bernicker said. However, Bernicker noted, some insurers may be reluctant to fill certain prescriptions in advance, like those for opioids.

Making headway on more robust preparedness strategies may be slowed. As of March, the National Institutes of Health will no longer fund research about the health effects of climate change.

Bernicker hoped that such cutbacks would be rolled back. What’s on the line, he stressed, is maintaining the highest quality of care for patients with cancer.

“We really are in a golden age of oncology therapeutics,” he said. “We have patients living longer than anyone would have predicted 20 or 25 years ago. But all those advances are contingent on people having access to their centers and not having that interrupted.”

A version of this article first appeared on Medscape.com.

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As Hurricane Helene approached western North Carolina, Martin Palmeri, MD, MBA, didn’t anticipate the storm would disrupt practice operations for more than a day or so.

But the massive rainfall and flooding damage last September proved to be far more challenging. Despite best efforts by the 13-physician practice, basic treatments for most patients were interrupted for about a week.

Flooding washed out some of the major roads leading to the main Asheville clinic and affiliated rural sites, limiting travel and slowing delivery of medications, intravenous (IV) fluids, and other supplies, Palmeri said. Some patients and employees weren’t initially reachable due to the loss of the internet and cell phone service. The storm-related fallout even forced patients to relocate elsewhere for weeks or longer.

During the storm, backup generators kept power on at the Asheville clinic, protecting chemotherapy and other refrigerated drugs, but the storm damaged the municipal water supply.

“Water was the number one thing — how do you get water to the office?” Palmeri said. “You can’t give someone an 8-hour infusion if they don’t have means of going to the toilet or having something to drink.”

Hurricanes. Wildfires. Heat waves. As climate-driven extreme weather has become more common, researchers, oncologists, and patients are increasingly being forced to consider the consequences of these disruptions.

Along with preventing patients and providers from reaching treatment sites, experts said, extreme weather can undercut patients’ health and care in other ways. Patients with more limited lung capacity following lung cancer surgery, for instance, may struggle with breathing during wildfires. Extreme heat can prove risky for patients already dehydrated or weakened by treatment-related side effects. Power outages and severe flooding can affect vital infrastructure, disrupting operations at facilities that manufacture essential drugs. Power outages can also impede radiotherapy, which requires machines powered by electricity.

“Any of these [weather] events can disrupt this critical cancer care continuum among a population of people that already are very vulnerable,” said Joan Casey, PhD, an environmental epidemiologist and associate professor at the University of Washington in Seattle.

 

Extreme Weather and Cancer Survival

For patients with cancer, survival often relies on highly regimented protocols, which may require surgery plus frequent visits for radiation, chemotherapy, or immunotherapy that can last months, said Eric Bernicker, MD, a Colorado oncologist and lead author of a 2023 American Society of Clinical Oncology position statement about the impact of climate change on cancer care.

Interruptions to care, regardless of the cause, can lead to worse outcomes for patients, Bernicker said. “If you’re in the middle of your post-lumpectomy radiation and your radiation center shuts for 2 weeks,” he said, “that is not good.”

Research indicated that even short treatment disruptions can affect outcomes for patients with cancer and that delays caused by extreme weather — which may last for weeks — can affect survival for these patients.

One analysis, published in JAMA Oncology in 2023, found that patients exposed to wildfire within the first year after potentially curative lung cancer surgery had worse survival outcomes than those who weren’t exposed during their recovery.

In another study, patients with lung cancer who had their radiation interrupted when a hurricane struck had a 19% greater risk of dying overall compared with similar patients who were not affected. Another analysis found that patients with breast cancer who were partway through treatment when Hurricane Katrina hit the Louisiana coastline had a significantly greater risk of dying over a 10-year period compared with patients who lived elsewhere.

The potential threats to survival highlighted the impacts of extreme weather on carefully orchestrated systems of care that place patients facing already fragile situations in impossible binds, Casey said.

Douglas Flora, MD, a Kentucky oncologist and president-elect of the Association of Cancer Care Centers, Rockville, Maryland, agreed.

“We’ve seen this with an increasing frequency over the last several years,” Flora said. “It’s one thing if it’s routine follow-up or surveillance care, but many cancer patients’ survivals are directly related to not having interruptions in their care.”

 

Challenging Realities

Following Helene, the most pressing issue was the lack of water, Palmeri said.

The lack of reliable clean water created challenges for patients receiving radiation or chemotherapy infusions, which can cause vomiting and diarrhea that leave patients dehydrated. Toilets were also unusable.

Even when the city of Asheville said the water was likely safe enough to bathe in, local leaders still reported potential risks from bacteria and other contaminants in the water, Palmeri said. Those with a fragile immune system or breaks in the skin “could get serious and life-threatening infections,” he explained.

To make matters worse, damage to a North Carolina facility manufacturing IV fluids left the United States in shortage for months. IV fluids are key not only for providing hydration but also for easing nausea, fatigue, and other issues caused by cancer therapies.

With wildfires, as occurred in southern California early this year, patients undergoing cancer treatment might feel they have no option but to remain near home to continue getting care, Casey said. “It’s restricting their agency in the kinds of choices that they have to make during these severe weather events.”

Meanwhile, thick wildfire smoke can confine patients to their homes, said Lawrence Wagman, MD, a surgical oncologist and a regional medical director at the City of Hope network, who described its main facility in Duarte, California, coming within a dozen miles of the Eaton fire. “One of the biggest problems was so much smoke in the air,” he said. “And the air quality was so low that it was, in many ways, dangerous for patients to travel.”

“These fires were so aggressive, and they kept popping up,” Wagman said. Plus, the emotional strain of looming wildfires persisted for both patients and cancer clinicians for weeks on end, he added.

For those who evacuate, the logistics can be complex.

Not only are cancer treatment plans highly structured, but switching care to another facility is far from easy, Bernicker said. The new facility will likely need to submit a treatment plan and get insurance coverage before moving forward.

“I’m not saying that takes forever,” he said. “But what I’m saying is that it’s not like you just roll in and they hang the [infusion] bag.”

Neither is a shelter typically an option for patients during treatment, said Seth Berkowitz, a licensed clinical social worker and director of Strategic Healthcare Partnerships at The Leukemia & Lymphoma Society. “They have to have a place to go that’s safe and germ-free.”

In western North Carolina, the strain on already ill patients and their caregivers could be overwhelming, Palmeri said. He recounted how the husband of one patient with advanced cancer died after the storm came through.

“He tried to go out there with a chainsaw to clear a way out so that they could get out of their house in case he needed to take her to the hospital,” Palmeri said. “And he had a heart attack there in the driveway.”

 

Rebuilding and Planning Ahead

Experts are only at the early stages of grasping the magnitude of extreme weather on cancer care and developing strategies to curtail care gaps and potential harm to patients, said Katie Lichter, MD, a radiation oncologist at the University of California San Francisco, who studies extreme weather and cancer treatment.

“How does it impact health care delivery services at every step, from prevention to screening to treatment and survivorship?” Lichter asked. “We’re just starting to understand and to even quantify that,” she said, which included identifying patients who are most vulnerable. She worries, in particular, about patients living in rural areas who already travel longer distances and often face more difficulties accessing care.

The gap between research and reality still looms large. A recent analysis, led by Lichter, looked at 176 California radiation oncology clinics and found that all of them were located within 25 miles of a wildfire that had occurred within the prior 5 years. Yet among the 51 clinics that responded to a 2022 survey,just 47% reported that their clinic had a wildfire emergency preparedness plan.

The American Cancer Society does provide some guidance on how patients can prepare for a weather-related crisis, including having extra supplies of medications or special equipment on hand.

Still, providers are often in reaction mode when extreme weather strikes.

Without adequate clean water after Helene, leaders at Palmeri’s practice moved swiftly, purchasing 40,000-50,000 bottles of water and bringing in porta potties from elsewhere. 

“I think we were able to get things up and going very quickly,” said Palmeri, who noted that full services resumed about 10 days after the storm. “For most patients, missing a week of treatment would not do a disservice to their well-being or outcome.”

Going forward, to provide a more comprehensive strategy, Lichter is working with colleagues to develop clinical tool kits to help oncology practices and patients prepare for severe weather events, such as outlining backup treatment contingency plans, ensuring early medication refills, and boosting communication with patient alert systems.

Clinicians are also implementing their own strategies. To limit communication gaps during power outages, Palmeri said that, since Helene, his practice has made sure that their clinic sites, physicians, and other key people now have cell phone service through satellite via Starlink.

“No one has phone books anymore,” he said, so cancer clinicians should keep crucial contact information on paper, such as details about businesses that distribute water and porta potties, given that online searches may not be feasible.

Clinicians should also advise patients to keep a hard copy of recent medical findings handy, including medications and lab results, in case they arrive at an emergency room far from home and physicians can’t access their electronic health record, Bernicker said.

When there is enough advance warning of an approaching weather event, clinicians can help patients keep at least a week’s worth of medication on hand for symptom-related issues, such as nausea or pain, as well as antibiotics so patients don’t have to seek out emergency care during the crisis, Bernicker said. However, Bernicker noted, some insurers may be reluctant to fill certain prescriptions in advance, like those for opioids.

Making headway on more robust preparedness strategies may be slowed. As of March, the National Institutes of Health will no longer fund research about the health effects of climate change.

Bernicker hoped that such cutbacks would be rolled back. What’s on the line, he stressed, is maintaining the highest quality of care for patients with cancer.

“We really are in a golden age of oncology therapeutics,” he said. “We have patients living longer than anyone would have predicted 20 or 25 years ago. But all those advances are contingent on people having access to their centers and not having that interrupted.”

A version of this article first appeared on Medscape.com.

As Hurricane Helene approached western North Carolina, Martin Palmeri, MD, MBA, didn’t anticipate the storm would disrupt practice operations for more than a day or so.

But the massive rainfall and flooding damage last September proved to be far more challenging. Despite best efforts by the 13-physician practice, basic treatments for most patients were interrupted for about a week.

Flooding washed out some of the major roads leading to the main Asheville clinic and affiliated rural sites, limiting travel and slowing delivery of medications, intravenous (IV) fluids, and other supplies, Palmeri said. Some patients and employees weren’t initially reachable due to the loss of the internet and cell phone service. The storm-related fallout even forced patients to relocate elsewhere for weeks or longer.

During the storm, backup generators kept power on at the Asheville clinic, protecting chemotherapy and other refrigerated drugs, but the storm damaged the municipal water supply.

“Water was the number one thing — how do you get water to the office?” Palmeri said. “You can’t give someone an 8-hour infusion if they don’t have means of going to the toilet or having something to drink.”

Hurricanes. Wildfires. Heat waves. As climate-driven extreme weather has become more common, researchers, oncologists, and patients are increasingly being forced to consider the consequences of these disruptions.

Along with preventing patients and providers from reaching treatment sites, experts said, extreme weather can undercut patients’ health and care in other ways. Patients with more limited lung capacity following lung cancer surgery, for instance, may struggle with breathing during wildfires. Extreme heat can prove risky for patients already dehydrated or weakened by treatment-related side effects. Power outages and severe flooding can affect vital infrastructure, disrupting operations at facilities that manufacture essential drugs. Power outages can also impede radiotherapy, which requires machines powered by electricity.

“Any of these [weather] events can disrupt this critical cancer care continuum among a population of people that already are very vulnerable,” said Joan Casey, PhD, an environmental epidemiologist and associate professor at the University of Washington in Seattle.

 

Extreme Weather and Cancer Survival

For patients with cancer, survival often relies on highly regimented protocols, which may require surgery plus frequent visits for radiation, chemotherapy, or immunotherapy that can last months, said Eric Bernicker, MD, a Colorado oncologist and lead author of a 2023 American Society of Clinical Oncology position statement about the impact of climate change on cancer care.

Interruptions to care, regardless of the cause, can lead to worse outcomes for patients, Bernicker said. “If you’re in the middle of your post-lumpectomy radiation and your radiation center shuts for 2 weeks,” he said, “that is not good.”

Research indicated that even short treatment disruptions can affect outcomes for patients with cancer and that delays caused by extreme weather — which may last for weeks — can affect survival for these patients.

One analysis, published in JAMA Oncology in 2023, found that patients exposed to wildfire within the first year after potentially curative lung cancer surgery had worse survival outcomes than those who weren’t exposed during their recovery.

In another study, patients with lung cancer who had their radiation interrupted when a hurricane struck had a 19% greater risk of dying overall compared with similar patients who were not affected. Another analysis found that patients with breast cancer who were partway through treatment when Hurricane Katrina hit the Louisiana coastline had a significantly greater risk of dying over a 10-year period compared with patients who lived elsewhere.

The potential threats to survival highlighted the impacts of extreme weather on carefully orchestrated systems of care that place patients facing already fragile situations in impossible binds, Casey said.

Douglas Flora, MD, a Kentucky oncologist and president-elect of the Association of Cancer Care Centers, Rockville, Maryland, agreed.

“We’ve seen this with an increasing frequency over the last several years,” Flora said. “It’s one thing if it’s routine follow-up or surveillance care, but many cancer patients’ survivals are directly related to not having interruptions in their care.”

 

Challenging Realities

Following Helene, the most pressing issue was the lack of water, Palmeri said.

The lack of reliable clean water created challenges for patients receiving radiation or chemotherapy infusions, which can cause vomiting and diarrhea that leave patients dehydrated. Toilets were also unusable.

Even when the city of Asheville said the water was likely safe enough to bathe in, local leaders still reported potential risks from bacteria and other contaminants in the water, Palmeri said. Those with a fragile immune system or breaks in the skin “could get serious and life-threatening infections,” he explained.

To make matters worse, damage to a North Carolina facility manufacturing IV fluids left the United States in shortage for months. IV fluids are key not only for providing hydration but also for easing nausea, fatigue, and other issues caused by cancer therapies.

With wildfires, as occurred in southern California early this year, patients undergoing cancer treatment might feel they have no option but to remain near home to continue getting care, Casey said. “It’s restricting their agency in the kinds of choices that they have to make during these severe weather events.”

Meanwhile, thick wildfire smoke can confine patients to their homes, said Lawrence Wagman, MD, a surgical oncologist and a regional medical director at the City of Hope network, who described its main facility in Duarte, California, coming within a dozen miles of the Eaton fire. “One of the biggest problems was so much smoke in the air,” he said. “And the air quality was so low that it was, in many ways, dangerous for patients to travel.”

“These fires were so aggressive, and they kept popping up,” Wagman said. Plus, the emotional strain of looming wildfires persisted for both patients and cancer clinicians for weeks on end, he added.

For those who evacuate, the logistics can be complex.

Not only are cancer treatment plans highly structured, but switching care to another facility is far from easy, Bernicker said. The new facility will likely need to submit a treatment plan and get insurance coverage before moving forward.

“I’m not saying that takes forever,” he said. “But what I’m saying is that it’s not like you just roll in and they hang the [infusion] bag.”

Neither is a shelter typically an option for patients during treatment, said Seth Berkowitz, a licensed clinical social worker and director of Strategic Healthcare Partnerships at The Leukemia & Lymphoma Society. “They have to have a place to go that’s safe and germ-free.”

In western North Carolina, the strain on already ill patients and their caregivers could be overwhelming, Palmeri said. He recounted how the husband of one patient with advanced cancer died after the storm came through.

“He tried to go out there with a chainsaw to clear a way out so that they could get out of their house in case he needed to take her to the hospital,” Palmeri said. “And he had a heart attack there in the driveway.”

 

Rebuilding and Planning Ahead

Experts are only at the early stages of grasping the magnitude of extreme weather on cancer care and developing strategies to curtail care gaps and potential harm to patients, said Katie Lichter, MD, a radiation oncologist at the University of California San Francisco, who studies extreme weather and cancer treatment.

“How does it impact health care delivery services at every step, from prevention to screening to treatment and survivorship?” Lichter asked. “We’re just starting to understand and to even quantify that,” she said, which included identifying patients who are most vulnerable. She worries, in particular, about patients living in rural areas who already travel longer distances and often face more difficulties accessing care.

The gap between research and reality still looms large. A recent analysis, led by Lichter, looked at 176 California radiation oncology clinics and found that all of them were located within 25 miles of a wildfire that had occurred within the prior 5 years. Yet among the 51 clinics that responded to a 2022 survey,just 47% reported that their clinic had a wildfire emergency preparedness plan.

The American Cancer Society does provide some guidance on how patients can prepare for a weather-related crisis, including having extra supplies of medications or special equipment on hand.

Still, providers are often in reaction mode when extreme weather strikes.

Without adequate clean water after Helene, leaders at Palmeri’s practice moved swiftly, purchasing 40,000-50,000 bottles of water and bringing in porta potties from elsewhere. 

“I think we were able to get things up and going very quickly,” said Palmeri, who noted that full services resumed about 10 days after the storm. “For most patients, missing a week of treatment would not do a disservice to their well-being or outcome.”

Going forward, to provide a more comprehensive strategy, Lichter is working with colleagues to develop clinical tool kits to help oncology practices and patients prepare for severe weather events, such as outlining backup treatment contingency plans, ensuring early medication refills, and boosting communication with patient alert systems.

Clinicians are also implementing their own strategies. To limit communication gaps during power outages, Palmeri said that, since Helene, his practice has made sure that their clinic sites, physicians, and other key people now have cell phone service through satellite via Starlink.

“No one has phone books anymore,” he said, so cancer clinicians should keep crucial contact information on paper, such as details about businesses that distribute water and porta potties, given that online searches may not be feasible.

Clinicians should also advise patients to keep a hard copy of recent medical findings handy, including medications and lab results, in case they arrive at an emergency room far from home and physicians can’t access their electronic health record, Bernicker said.

When there is enough advance warning of an approaching weather event, clinicians can help patients keep at least a week’s worth of medication on hand for symptom-related issues, such as nausea or pain, as well as antibiotics so patients don’t have to seek out emergency care during the crisis, Bernicker said. However, Bernicker noted, some insurers may be reluctant to fill certain prescriptions in advance, like those for opioids.

Making headway on more robust preparedness strategies may be slowed. As of March, the National Institutes of Health will no longer fund research about the health effects of climate change.

Bernicker hoped that such cutbacks would be rolled back. What’s on the line, he stressed, is maintaining the highest quality of care for patients with cancer.

“We really are in a golden age of oncology therapeutics,” he said. “We have patients living longer than anyone would have predicted 20 or 25 years ago. But all those advances are contingent on people having access to their centers and not having that interrupted.”

A version of this article first appeared on Medscape.com.

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Many Early-Onset Cancers Increasing, Particularly in Women

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Rates of certain cancers in the United States — including breast, colorectal, and thyroid cancers — increased between 2010 and 2019 among patients aged less than 50 years, while overall cancer incidence and mortality rates did not increase, a new study found. 

Among the more than two million cases of early-onset cancer diagnosed during this period, 63.2% were in women, researchers reported recently in Cancer Discovery.

Breast cancer, thyroid cancer, and melanoma were the most common early-onset cancers in women. Among men, the most common were colorectal cancer, testicular cancer, and melanoma. 

Researchers from the National Cancer Institute analyzed cancer incidence data from the United States Cancer Statistics database for 2010-2019 and national death certificate data from the National Center for Health Statistics from 2010 to 2022. The team excluded incidence data from 2020 and 2021, which was artificially low due to COVID.

The researchers divided the data according to age groups: The early-onset age groups were 15-29, 30-39, and 40-49 years, and the late-onset groups were 50-59, 60-69, and 70-79 years. The team also estimated the expected number of early-onset cases in 2019 by multiplying 2010 age-specific cancer incidence rates by population counts for 2019. 

First author Meredith Shiels, of the National Cancer Institute, and colleagues found that the largest absolute increase in incidence of early-onset cancers, compared with expected incidence, were for breast (n = 4834 additional cancers), colorectal (n = 2099), kidney (n = 1793), and uterine cancers (n = 1209). These diagnoses accounted for 80% of the additional cancer diagnoses in 2019 vs 2010.

Looking at increases by age group, Shiels and colleagues reported that 1.9% of all cancers occurred in overall early-onset cohort 15- to 49-year-olds (age-standardized incidence rate of 39.8 per 100,000), and the incidence was greater in the older cohorts: 3.6% for 30- to 39-year-olds (123.5 per 100,000) and 8.8% for 40- to 49-year-olds (293.9 per 100,000).

Overall, 14 of 33 cancer types significantly increased in incidence in at least one early-onset age group. Among these 14 cancer types, five — melanoma, plasma cell neoplasms, cervical cancer, stomach cancer, and cancer of the bones and joints — showed increases only in early-onset age groups, not in late-onset age groups. For example, between 2010 and 2019, cervical cancer rates increased by 1.39% per year among 30- to 39-year-olds, melanoma rates increased by 0.82% per year among 40- to 49-year-olds, and stomach cancer rates increased by 1.38% per year. 

The remaining nine cancer types increased in at least one early-onset and one late-onset group. These included female breast, colorectal, kidney, testicular, uterine, pancreatic cancers as well as precursor B-cell non-Hodgkin lymphoma, diffuse large B-cell lymphoma, and mycosis fungoides/Sézary syndrome.

For four of the 14 cancer types with increasing incidence rates — testicular cancer, uterine cancer, colorectal cancer, and cancer of the bones and joints — mortality also increased in at least one early-onset age group, whereas the remaining 10 cancer types increased in incidence without an increase in mortality for any age group.

Shiels and her colleagues aren’t the first to address the rising incidence of early-onset cancers. In a keynote lecture at the European Society of Medical Oncology (ESMO) 2024 Annual Meeting, Irit Ben-Aharon, MD, PhD, from the Rambam Health Care Campus in Haifa, Israel, noted that from 1990-2019, the global incidence of early-onset cancer increased by 79%.

Although the current study doesn’t identify drivers of rising cancer rates in younger patients, “descriptive data like these provide a critical starting point for understanding the drivers of rising rates of cancer in early-onset age groups and could translate to effective cancer prevention and early detection efforts,” Shiels said in a press release. For instance, “recent guidelines have lowered the age of initiation for breast and colorectal cancer screening based, at least partially, on observations that rates for these cancers are increasing at younger ages.”

This study is “a great step forward” toward understanding the increasing incidence of early-onset cancers, agreed Shuji Ogino, MD, PhD, from Harvard Medical School and Brigham and Women’s Hospital in Boston, who wasn’t involved in the research.

The investigators provide new details, particularly by breaking down the early- and late-onset age groups into subcategories and by comparing incidence and mortality rates, Ogino noted.

“Mortality is a great endpoint because if the increased in early incidence is just an effect of [increased] screening we won’t see a mortality increase,” Ogino said. But “we need more data and some way to tease out the screening effect.” Plus, he added, “we need more mechanistic studies and tissue-based analyses to determine if early-onset cancers that are increasing in incidence are a different beast, rather than just an earlier beast.”

This study was funded by the Intramural Research Program of the National Cancer Institute of the National Institutes of Health and the Institute of Cancer Research. Shiels declared no conflicts of interest.

version of this article first appeared on Medscape.com.

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Rates of certain cancers in the United States — including breast, colorectal, and thyroid cancers — increased between 2010 and 2019 among patients aged less than 50 years, while overall cancer incidence and mortality rates did not increase, a new study found. 

Among the more than two million cases of early-onset cancer diagnosed during this period, 63.2% were in women, researchers reported recently in Cancer Discovery.

Breast cancer, thyroid cancer, and melanoma were the most common early-onset cancers in women. Among men, the most common were colorectal cancer, testicular cancer, and melanoma. 

Researchers from the National Cancer Institute analyzed cancer incidence data from the United States Cancer Statistics database for 2010-2019 and national death certificate data from the National Center for Health Statistics from 2010 to 2022. The team excluded incidence data from 2020 and 2021, which was artificially low due to COVID.

The researchers divided the data according to age groups: The early-onset age groups were 15-29, 30-39, and 40-49 years, and the late-onset groups were 50-59, 60-69, and 70-79 years. The team also estimated the expected number of early-onset cases in 2019 by multiplying 2010 age-specific cancer incidence rates by population counts for 2019. 

First author Meredith Shiels, of the National Cancer Institute, and colleagues found that the largest absolute increase in incidence of early-onset cancers, compared with expected incidence, were for breast (n = 4834 additional cancers), colorectal (n = 2099), kidney (n = 1793), and uterine cancers (n = 1209). These diagnoses accounted for 80% of the additional cancer diagnoses in 2019 vs 2010.

Looking at increases by age group, Shiels and colleagues reported that 1.9% of all cancers occurred in overall early-onset cohort 15- to 49-year-olds (age-standardized incidence rate of 39.8 per 100,000), and the incidence was greater in the older cohorts: 3.6% for 30- to 39-year-olds (123.5 per 100,000) and 8.8% for 40- to 49-year-olds (293.9 per 100,000).

Overall, 14 of 33 cancer types significantly increased in incidence in at least one early-onset age group. Among these 14 cancer types, five — melanoma, plasma cell neoplasms, cervical cancer, stomach cancer, and cancer of the bones and joints — showed increases only in early-onset age groups, not in late-onset age groups. For example, between 2010 and 2019, cervical cancer rates increased by 1.39% per year among 30- to 39-year-olds, melanoma rates increased by 0.82% per year among 40- to 49-year-olds, and stomach cancer rates increased by 1.38% per year. 

The remaining nine cancer types increased in at least one early-onset and one late-onset group. These included female breast, colorectal, kidney, testicular, uterine, pancreatic cancers as well as precursor B-cell non-Hodgkin lymphoma, diffuse large B-cell lymphoma, and mycosis fungoides/Sézary syndrome.

For four of the 14 cancer types with increasing incidence rates — testicular cancer, uterine cancer, colorectal cancer, and cancer of the bones and joints — mortality also increased in at least one early-onset age group, whereas the remaining 10 cancer types increased in incidence without an increase in mortality for any age group.

Shiels and her colleagues aren’t the first to address the rising incidence of early-onset cancers. In a keynote lecture at the European Society of Medical Oncology (ESMO) 2024 Annual Meeting, Irit Ben-Aharon, MD, PhD, from the Rambam Health Care Campus in Haifa, Israel, noted that from 1990-2019, the global incidence of early-onset cancer increased by 79%.

Although the current study doesn’t identify drivers of rising cancer rates in younger patients, “descriptive data like these provide a critical starting point for understanding the drivers of rising rates of cancer in early-onset age groups and could translate to effective cancer prevention and early detection efforts,” Shiels said in a press release. For instance, “recent guidelines have lowered the age of initiation for breast and colorectal cancer screening based, at least partially, on observations that rates for these cancers are increasing at younger ages.”

This study is “a great step forward” toward understanding the increasing incidence of early-onset cancers, agreed Shuji Ogino, MD, PhD, from Harvard Medical School and Brigham and Women’s Hospital in Boston, who wasn’t involved in the research.

The investigators provide new details, particularly by breaking down the early- and late-onset age groups into subcategories and by comparing incidence and mortality rates, Ogino noted.

“Mortality is a great endpoint because if the increased in early incidence is just an effect of [increased] screening we won’t see a mortality increase,” Ogino said. But “we need more data and some way to tease out the screening effect.” Plus, he added, “we need more mechanistic studies and tissue-based analyses to determine if early-onset cancers that are increasing in incidence are a different beast, rather than just an earlier beast.”

This study was funded by the Intramural Research Program of the National Cancer Institute of the National Institutes of Health and the Institute of Cancer Research. Shiels declared no conflicts of interest.

version of this article first appeared on Medscape.com.

Rates of certain cancers in the United States — including breast, colorectal, and thyroid cancers — increased between 2010 and 2019 among patients aged less than 50 years, while overall cancer incidence and mortality rates did not increase, a new study found. 

Among the more than two million cases of early-onset cancer diagnosed during this period, 63.2% were in women, researchers reported recently in Cancer Discovery.

Breast cancer, thyroid cancer, and melanoma were the most common early-onset cancers in women. Among men, the most common were colorectal cancer, testicular cancer, and melanoma. 

Researchers from the National Cancer Institute analyzed cancer incidence data from the United States Cancer Statistics database for 2010-2019 and national death certificate data from the National Center for Health Statistics from 2010 to 2022. The team excluded incidence data from 2020 and 2021, which was artificially low due to COVID.

The researchers divided the data according to age groups: The early-onset age groups were 15-29, 30-39, and 40-49 years, and the late-onset groups were 50-59, 60-69, and 70-79 years. The team also estimated the expected number of early-onset cases in 2019 by multiplying 2010 age-specific cancer incidence rates by population counts for 2019. 

First author Meredith Shiels, of the National Cancer Institute, and colleagues found that the largest absolute increase in incidence of early-onset cancers, compared with expected incidence, were for breast (n = 4834 additional cancers), colorectal (n = 2099), kidney (n = 1793), and uterine cancers (n = 1209). These diagnoses accounted for 80% of the additional cancer diagnoses in 2019 vs 2010.

Looking at increases by age group, Shiels and colleagues reported that 1.9% of all cancers occurred in overall early-onset cohort 15- to 49-year-olds (age-standardized incidence rate of 39.8 per 100,000), and the incidence was greater in the older cohorts: 3.6% for 30- to 39-year-olds (123.5 per 100,000) and 8.8% for 40- to 49-year-olds (293.9 per 100,000).

Overall, 14 of 33 cancer types significantly increased in incidence in at least one early-onset age group. Among these 14 cancer types, five — melanoma, plasma cell neoplasms, cervical cancer, stomach cancer, and cancer of the bones and joints — showed increases only in early-onset age groups, not in late-onset age groups. For example, between 2010 and 2019, cervical cancer rates increased by 1.39% per year among 30- to 39-year-olds, melanoma rates increased by 0.82% per year among 40- to 49-year-olds, and stomach cancer rates increased by 1.38% per year. 

The remaining nine cancer types increased in at least one early-onset and one late-onset group. These included female breast, colorectal, kidney, testicular, uterine, pancreatic cancers as well as precursor B-cell non-Hodgkin lymphoma, diffuse large B-cell lymphoma, and mycosis fungoides/Sézary syndrome.

For four of the 14 cancer types with increasing incidence rates — testicular cancer, uterine cancer, colorectal cancer, and cancer of the bones and joints — mortality also increased in at least one early-onset age group, whereas the remaining 10 cancer types increased in incidence without an increase in mortality for any age group.

Shiels and her colleagues aren’t the first to address the rising incidence of early-onset cancers. In a keynote lecture at the European Society of Medical Oncology (ESMO) 2024 Annual Meeting, Irit Ben-Aharon, MD, PhD, from the Rambam Health Care Campus in Haifa, Israel, noted that from 1990-2019, the global incidence of early-onset cancer increased by 79%.

Although the current study doesn’t identify drivers of rising cancer rates in younger patients, “descriptive data like these provide a critical starting point for understanding the drivers of rising rates of cancer in early-onset age groups and could translate to effective cancer prevention and early detection efforts,” Shiels said in a press release. For instance, “recent guidelines have lowered the age of initiation for breast and colorectal cancer screening based, at least partially, on observations that rates for these cancers are increasing at younger ages.”

This study is “a great step forward” toward understanding the increasing incidence of early-onset cancers, agreed Shuji Ogino, MD, PhD, from Harvard Medical School and Brigham and Women’s Hospital in Boston, who wasn’t involved in the research.

The investigators provide new details, particularly by breaking down the early- and late-onset age groups into subcategories and by comparing incidence and mortality rates, Ogino noted.

“Mortality is a great endpoint because if the increased in early incidence is just an effect of [increased] screening we won’t see a mortality increase,” Ogino said. But “we need more data and some way to tease out the screening effect.” Plus, he added, “we need more mechanistic studies and tissue-based analyses to determine if early-onset cancers that are increasing in incidence are a different beast, rather than just an earlier beast.”

This study was funded by the Intramural Research Program of the National Cancer Institute of the National Institutes of Health and the Institute of Cancer Research. Shiels declared no conflicts of interest.

version of this article first appeared on Medscape.com.

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Collins Lays Out Plans to Reduce VA by 15% in Congressional Hearings

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Collins Lays Out Plans to Reduce VA by 15% in Senate Hearing

US Department of Veterans Affairs (VA) Secretary Doug Collins testified in US House of Representatives and US Senate committees hearings that bringing staff numbers down to fiscal year 2019 figures was simply a goal: “Our goal, as we look at it, as everything goes forward, is a 15% decrease,” he told the senators. “It’s a goal. You have to start somewhere.”

“It’s a process we’re going through and I’m not going to work out a process in front of a committee or anywhere else,” Collins testified in the Senate on May 6, adding that it would be “incompetence” or “malpractice” to do so before time. “[When] we’re doing something as large as we are in an organization as sensitive on this Hill, it would not be right for us to do that in public. It would not be right for us to just come out and say here’s everything that we got and then have everybody scared because in the end it may not be the final decision.”

“We’re going to come to the best possible decision we can for the veterans in this country so they can have a VA system that actually works,” Collins argued in the Senate. “The VA’s been an issue for a long time. We’re trying to not make it an issue anymore.”

Collins later told a House committee on May 15 that VA was conducting a thorough review of department structure and staffing across the enterpise. "Our goal is to increase productivity and efficiency and to eliminate waste and bureaucracy improving health care delivery and benefits to our veterans. We are going to maintain VA essential jobs like doctors and nurses and claims processors" but eliminate positions it deemed "nonmission-critical" and consolidating areas of "overlap and waste."

Senate ranking member Richard Blumenthal (D-CT) and Chairman Jerry Moran (R-KS) both placed an emphasis on accountability for responsible resizing at the hearing. 

“The department is at a critical juncture,” Moran said. “Perhaps that’s always true, and I want to hear from you that the changes under way at the VA are backed by data, informed by veteran demand, focused on improving outcomes for men and women the VA serves, and will be carried out in close coordination with this committee, as well as with veterans, VA staff, and veteran organizations.” Moran stressed that cutting should be about right-sizing, done carefully, and while treating people “with gratitude and respect.”

Blumenthal was more direct in his criticism of the approach: “You cannot slash and trash the VA without eliminating those essential positions which provide access and availability of health care. It simply cannot be done,” he told Collins.

In response, Collins replied, “You have stated on several occasions already that I am saying we are going to fire 83,000 employees. That is wrong.” Collins insisted that the VA was “looking at a goal of how many employees we have and how many employees that are actually working in the front line taking care. I have doctors and nurses right now that do not see patients. Is that helping veteran health care?”

Collins defended the actions of the VA and spoke about challenges he was “constantly fighting” in the early weeks of his tenure. “We’ve been hit by a barrage of false rumors, innuendo, disinformation, speculation implying firing doctors and nurses, and forcing staff to work in closets and showers and that there’s chaos in the department, none of which have been backed up. Why? Because we canceled some contracts that worked for the VA that we should be doing in-house and we let go of less than one half of one percent of nonmission critical employees.”

The Trump Administration offered federal employees the option of resigning, which purportedly will go toward meeting the 15% target. NPR reported that VA employees have since shared data showing that 11,273 agency employees nationwide have applied for deferred resignation. Most of those employees are nurses (about 1300), medical support assistants (about 800), and social workers (about 300). 

Collins stressed that the aim of restructuring was to protect veterans’ health care. By getting rid of DEI initiatives, the VA saved $14 million, which he said was redirected to veterans with disabilities who need prosthetics.

Sen. Bernie Sanders (D-VT) addressed concerns about the existing shortage of clinicians at the VA, asking Collins what he was doing to bring in more doctors, nurses, and social workers. In addition to moving doctors and nurses from nonpatient care to patient care, Collins said, he planned to work with Congress to make salaries more competitive.

But money and adding more employees are not always the solution, Collins said. For example, he said, the VA has been spending $588 million a year veteran suicide research, its top clinical priority. Yet, he said there has not been a significant decrease in veteran suicide rates since 2008. 

The most recent VA suicide report, released in 2024, indicates suicide rates have remained steady since 2001. However, in 2022, the number of suicides among veterans (6407) was actually lower than in 12 of the previous 14 years. 

According to media reports, congressional lawmakers, and union officials, Veteran Crisis Line (VCL) staff were among the 2400 probationary employees fired in February. In a Feb. 20 video, Collins accused Democrats of spreading lies and insisted no one who answered the phone was fired.

Later, in a letter to senators, Collins admitted that 24 VCL support staff were “erroneously” sent termination notices. The firings were later reversed, Collins said, and all VCL employees had been reinstated at the same position they previously held. “Ensuring the VCL is always accessible 24/7 is one of the department’s top priorities,” Collins insisted.

Collins shared his approval of keeping and expanding VA programs and studies on psychedelic treatments for patients with posttraumatic stress disorder and traumatic brain injury. He also spoke to the proposed 2026 budget calling for a $5.4 billion increase for the VA. If approved, that money would be targeted for medical care and homelessness. 

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US Department of Veterans Affairs (VA) Secretary Doug Collins testified in US House of Representatives and US Senate committees hearings that bringing staff numbers down to fiscal year 2019 figures was simply a goal: “Our goal, as we look at it, as everything goes forward, is a 15% decrease,” he told the senators. “It’s a goal. You have to start somewhere.”

“It’s a process we’re going through and I’m not going to work out a process in front of a committee or anywhere else,” Collins testified in the Senate on May 6, adding that it would be “incompetence” or “malpractice” to do so before time. “[When] we’re doing something as large as we are in an organization as sensitive on this Hill, it would not be right for us to do that in public. It would not be right for us to just come out and say here’s everything that we got and then have everybody scared because in the end it may not be the final decision.”

“We’re going to come to the best possible decision we can for the veterans in this country so they can have a VA system that actually works,” Collins argued in the Senate. “The VA’s been an issue for a long time. We’re trying to not make it an issue anymore.”

Collins later told a House committee on May 15 that VA was conducting a thorough review of department structure and staffing across the enterpise. "Our goal is to increase productivity and efficiency and to eliminate waste and bureaucracy improving health care delivery and benefits to our veterans. We are going to maintain VA essential jobs like doctors and nurses and claims processors" but eliminate positions it deemed "nonmission-critical" and consolidating areas of "overlap and waste."

Senate ranking member Richard Blumenthal (D-CT) and Chairman Jerry Moran (R-KS) both placed an emphasis on accountability for responsible resizing at the hearing. 

“The department is at a critical juncture,” Moran said. “Perhaps that’s always true, and I want to hear from you that the changes under way at the VA are backed by data, informed by veteran demand, focused on improving outcomes for men and women the VA serves, and will be carried out in close coordination with this committee, as well as with veterans, VA staff, and veteran organizations.” Moran stressed that cutting should be about right-sizing, done carefully, and while treating people “with gratitude and respect.”

Blumenthal was more direct in his criticism of the approach: “You cannot slash and trash the VA without eliminating those essential positions which provide access and availability of health care. It simply cannot be done,” he told Collins.

In response, Collins replied, “You have stated on several occasions already that I am saying we are going to fire 83,000 employees. That is wrong.” Collins insisted that the VA was “looking at a goal of how many employees we have and how many employees that are actually working in the front line taking care. I have doctors and nurses right now that do not see patients. Is that helping veteran health care?”

Collins defended the actions of the VA and spoke about challenges he was “constantly fighting” in the early weeks of his tenure. “We’ve been hit by a barrage of false rumors, innuendo, disinformation, speculation implying firing doctors and nurses, and forcing staff to work in closets and showers and that there’s chaos in the department, none of which have been backed up. Why? Because we canceled some contracts that worked for the VA that we should be doing in-house and we let go of less than one half of one percent of nonmission critical employees.”

The Trump Administration offered federal employees the option of resigning, which purportedly will go toward meeting the 15% target. NPR reported that VA employees have since shared data showing that 11,273 agency employees nationwide have applied for deferred resignation. Most of those employees are nurses (about 1300), medical support assistants (about 800), and social workers (about 300). 

Collins stressed that the aim of restructuring was to protect veterans’ health care. By getting rid of DEI initiatives, the VA saved $14 million, which he said was redirected to veterans with disabilities who need prosthetics.

Sen. Bernie Sanders (D-VT) addressed concerns about the existing shortage of clinicians at the VA, asking Collins what he was doing to bring in more doctors, nurses, and social workers. In addition to moving doctors and nurses from nonpatient care to patient care, Collins said, he planned to work with Congress to make salaries more competitive.

But money and adding more employees are not always the solution, Collins said. For example, he said, the VA has been spending $588 million a year veteran suicide research, its top clinical priority. Yet, he said there has not been a significant decrease in veteran suicide rates since 2008. 

The most recent VA suicide report, released in 2024, indicates suicide rates have remained steady since 2001. However, in 2022, the number of suicides among veterans (6407) was actually lower than in 12 of the previous 14 years. 

According to media reports, congressional lawmakers, and union officials, Veteran Crisis Line (VCL) staff were among the 2400 probationary employees fired in February. In a Feb. 20 video, Collins accused Democrats of spreading lies and insisted no one who answered the phone was fired.

Later, in a letter to senators, Collins admitted that 24 VCL support staff were “erroneously” sent termination notices. The firings were later reversed, Collins said, and all VCL employees had been reinstated at the same position they previously held. “Ensuring the VCL is always accessible 24/7 is one of the department’s top priorities,” Collins insisted.

Collins shared his approval of keeping and expanding VA programs and studies on psychedelic treatments for patients with posttraumatic stress disorder and traumatic brain injury. He also spoke to the proposed 2026 budget calling for a $5.4 billion increase for the VA. If approved, that money would be targeted for medical care and homelessness. 

US Department of Veterans Affairs (VA) Secretary Doug Collins testified in US House of Representatives and US Senate committees hearings that bringing staff numbers down to fiscal year 2019 figures was simply a goal: “Our goal, as we look at it, as everything goes forward, is a 15% decrease,” he told the senators. “It’s a goal. You have to start somewhere.”

“It’s a process we’re going through and I’m not going to work out a process in front of a committee or anywhere else,” Collins testified in the Senate on May 6, adding that it would be “incompetence” or “malpractice” to do so before time. “[When] we’re doing something as large as we are in an organization as sensitive on this Hill, it would not be right for us to do that in public. It would not be right for us to just come out and say here’s everything that we got and then have everybody scared because in the end it may not be the final decision.”

“We’re going to come to the best possible decision we can for the veterans in this country so they can have a VA system that actually works,” Collins argued in the Senate. “The VA’s been an issue for a long time. We’re trying to not make it an issue anymore.”

Collins later told a House committee on May 15 that VA was conducting a thorough review of department structure and staffing across the enterpise. "Our goal is to increase productivity and efficiency and to eliminate waste and bureaucracy improving health care delivery and benefits to our veterans. We are going to maintain VA essential jobs like doctors and nurses and claims processors" but eliminate positions it deemed "nonmission-critical" and consolidating areas of "overlap and waste."

Senate ranking member Richard Blumenthal (D-CT) and Chairman Jerry Moran (R-KS) both placed an emphasis on accountability for responsible resizing at the hearing. 

“The department is at a critical juncture,” Moran said. “Perhaps that’s always true, and I want to hear from you that the changes under way at the VA are backed by data, informed by veteran demand, focused on improving outcomes for men and women the VA serves, and will be carried out in close coordination with this committee, as well as with veterans, VA staff, and veteran organizations.” Moran stressed that cutting should be about right-sizing, done carefully, and while treating people “with gratitude and respect.”

Blumenthal was more direct in his criticism of the approach: “You cannot slash and trash the VA without eliminating those essential positions which provide access and availability of health care. It simply cannot be done,” he told Collins.

In response, Collins replied, “You have stated on several occasions already that I am saying we are going to fire 83,000 employees. That is wrong.” Collins insisted that the VA was “looking at a goal of how many employees we have and how many employees that are actually working in the front line taking care. I have doctors and nurses right now that do not see patients. Is that helping veteran health care?”

Collins defended the actions of the VA and spoke about challenges he was “constantly fighting” in the early weeks of his tenure. “We’ve been hit by a barrage of false rumors, innuendo, disinformation, speculation implying firing doctors and nurses, and forcing staff to work in closets and showers and that there’s chaos in the department, none of which have been backed up. Why? Because we canceled some contracts that worked for the VA that we should be doing in-house and we let go of less than one half of one percent of nonmission critical employees.”

The Trump Administration offered federal employees the option of resigning, which purportedly will go toward meeting the 15% target. NPR reported that VA employees have since shared data showing that 11,273 agency employees nationwide have applied for deferred resignation. Most of those employees are nurses (about 1300), medical support assistants (about 800), and social workers (about 300). 

Collins stressed that the aim of restructuring was to protect veterans’ health care. By getting rid of DEI initiatives, the VA saved $14 million, which he said was redirected to veterans with disabilities who need prosthetics.

Sen. Bernie Sanders (D-VT) addressed concerns about the existing shortage of clinicians at the VA, asking Collins what he was doing to bring in more doctors, nurses, and social workers. In addition to moving doctors and nurses from nonpatient care to patient care, Collins said, he planned to work with Congress to make salaries more competitive.

But money and adding more employees are not always the solution, Collins said. For example, he said, the VA has been spending $588 million a year veteran suicide research, its top clinical priority. Yet, he said there has not been a significant decrease in veteran suicide rates since 2008. 

The most recent VA suicide report, released in 2024, indicates suicide rates have remained steady since 2001. However, in 2022, the number of suicides among veterans (6407) was actually lower than in 12 of the previous 14 years. 

According to media reports, congressional lawmakers, and union officials, Veteran Crisis Line (VCL) staff were among the 2400 probationary employees fired in February. In a Feb. 20 video, Collins accused Democrats of spreading lies and insisted no one who answered the phone was fired.

Later, in a letter to senators, Collins admitted that 24 VCL support staff were “erroneously” sent termination notices. The firings were later reversed, Collins said, and all VCL employees had been reinstated at the same position they previously held. “Ensuring the VCL is always accessible 24/7 is one of the department’s top priorities,” Collins insisted.

Collins shared his approval of keeping and expanding VA programs and studies on psychedelic treatments for patients with posttraumatic stress disorder and traumatic brain injury. He also spoke to the proposed 2026 budget calling for a $5.4 billion increase for the VA. If approved, that money would be targeted for medical care and homelessness. 

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Community Care Radiation Oncology Cost Calculations for a VA Medical Center

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Community Care Radiation Oncology Cost Calculations for a VA Medical Center

William Kissick’s description of health care’s iron triangle in 1994 still resonates. Access, quality, and cost will always come at the expense of the others.1 In 2018, Congress passed the VA MISSION Act, allowing patients to pursue community care options for extended waits (> 28 days) or longer distance drive times of > 60 minutes for specialty care services, such as radiation oncology. According to Albanese et al, the VA MISSION Act sought to address gaps in care for veterans living in rural and underserved areas.2 The Veterans Health Administration (VHA) continues to increase community care spending, with a 13.8% increase in fiscal year 2024 and an expected cost of > $40 billion for 2025.3 One could argue this pays for access for remote patients and quality when services are unavailable, making it a direct application of the iron triangle.

The VA MISSION Act also bolstered the expansion of existing community care department staff to expediently facilitate and coordinate care and payments.2 Cost management and monitoring have become critical in predicting future staff requirements, maintaining functionality, and ensuring patients receive optimal care. The VHA purchases care through partner networks and defines these bundled health care services as standard episodes of care (SEOCs), which are “clinically related health care services for a specific unique illness or medical condition… over a defined period of time.”4 Medicare publishes its rates quarterly, and outpatient procedure pricing is readily available online.5 Along these same lines, the US Department of Veterans Affairs (VA) publishes a current list of available procedures and associated Current Procedure Technology (CPT) codes that are covered under its VA fee schedule for community care.

Unique challenges persist when using this system to accurately account for radiation oncology expenditures. This study was based on the current practices at the Richard L. Roudebush VA Medical Center (RLRVAMC), a large 1a hospital. A detailed analysis reveals the contemporaneous cost of radiation oncology cancer care from October 1, 2021, through February 1, 2024, highlights the challenges in SEOC definition and duration, communication issues between RLRVAMC and purchase partners, inconsistencies in billing, erroneous payments, and difficulty of cost categorization.

METHODS

Community care radiation oncology-related costs were examined from October 1, 2021, to February 1, 2024 for RLRVAMC, 6 months prior to billing data extraction. Figure 1 shows a simple radiation oncology patient pathway with consultation or visit, simulation and planning, and treatment, with codes used to check billing. It illustrates the expected relationships between the VHA (radiation oncology, primary, and specialty care) and community care (clinicians and radiation oncology treatment sites).

0525FED-AVAHO-RAD_F1

VHA standard operating procedures for a patient requesting community-based radiation oncology care require a board-certified radiation oncologist at RLRVAMC to review and approve the outside care request. Community care radiation oncology consultation data were accessed from the VA Corporate Data Warehouse (CDW) using Pyramid Analytics (V25.2). Nurses, physicians, and community care staff can add comments, forward consultations to other services, and mark them as complete or discontinued, when appropriate. Consultations not completed within 91 days are automatically discontinued. All community care requests from 2018 through 2024 were extracted; analysis began April 1, 2021, 6 months prior to the cost evaluation date of October 1, 2021.

An approved consultation is reviewed for eligibility by a nurse in the community care department and assigned an authorization number (a VA prefix followed by 12 digits). Billing codes are approved and organized by the community care networks, and all procedure codes should be captured and labeled under this number. The VAMC Community Care department obtains initial correspondence from the treating clinicians. Subsequent records from the treating radiation oncologist are expected to be scanned into the electronic health record and made accessible via the VA Joint Legacy Viewer (JLV) and Computerized Patient Record System (CPRS).

Radiation Oncology SEOC

The start date of the radiation oncology SEOC is determined by the community care nurse based on guidance established by the VA. It can be manually backdated or delayed, but current practice is to start at first visit or procedure code entry after approval from the VAMC Radiation Oncology department. Approved CPT codes from SEOC versions between October 1, 2021, and February 1, 2024, are in eAppendix 1 (available at doi:10.12788/fp.0585). These generally include 10 types of encounters, about 115 different laboratory tests, 115 imaging studies, 25 simulation and planning procedures, and 115 radiation treatment codes. The radiation oncology SEOCs during the study period had an approval duration of 180 days. Advanced Medical Cost Management Solutions software (AMCMS) is the VHA data analytics platform for community care medical service costs. AMCMS includes all individual CPT codes billed by specific radiation oncology SEOC versions. Data are refreshed monthly, and all charges were extracted on September 12, 2024, > 6 months after the final evaluated service date to allow for complete billing returns.6

0525FED-AVAHO-RAD_eApp1
Radiation Oncology-Specific Costs

The VA Close to Me (CTM) program was used to find 84 specific radiation oncology CPT codes, nearly all within the 77.XXX or G6.XXX series, which included all radiation oncology-specific (ROS) codes (except visits accrued during consultation and return appointments). ROS costs are those that could not be performed by any other service and include procedures related to radiation oncology simulation, treatment planning, treatment delivery (with or without image guidance), and physician or physicist management. All ROS costs should be included in a patient’s radiation oncology SEOC. Other costs that may accompany operating room or brachytherapy administration did not follow a 77.XXX or G6.XXX pattern but were included in total radiation therapy operating costs.

Data obtained from AMCMS and CTM included patient name and identifier; CPT billed amount; CPT paid amount; dates of service; number of claims; International Classification of Diseases, Tenth Revision (ICD) diagnosis; and VA authorization numbers. Only CTM listed code modifiers. Only items categorized as paid were included in the analysis. Charges associated with discontinued consultations that had accrued costs also were included. Codes that were not directly related to ROS were separately characterized as other and further subcategorized.

Deep Dive Categorization

All scanned documents tagged to the community consultation were accessed and evaluated for completeness by a radiation oncologist (RS). The presence or absence of consultation notes and treatment summaries was evaluated based on necessity (ie, not needed for continuation of care or treatment was not given). In the absence of a specific completion summary or follow-up note detailing the treatment modality, number of fractions, and treatment sites, available documentation, including clinical notes and billing information, was used. Radical or curative therapies were identified as courses expected to eradicate disease, including stereotactic ablative radiotherapy to the brain, lung, liver, and other organs. Palliative therapies included whole-brain radiotherapy or other low-dose treatments. If the patient received the intended course, this was categorized as full. If incomplete, it was considered partial.

Billing Deviations

The complete document review allowed for close evaluation of paid therapy and identification of gaps in billing (eg, charges not found in extracted data that should have occurred) for external beam radiotherapy patients. Conversely, extra charges, such as an additional weekly treatment management charge (CPT code 77427), would be noted. Patients were expected to have the number of treatments specified in the summary, a clinical treatment planning code, and weekly treatment management notes from physicians and physicists every 5 fractions. Consultations and follow-up visits were expected to have 1 visit code; CPT codes 99205 and 99215, respectively, were used to estimate costs in their absence.

Costs were based on Medicare rates as of January 1 of the year in which they were accrued. 7-10 Duplicates were charges with the same code, date, billed quantity, and paid amounts for a given patient. These would always be considered erroneous. Medicare treatment costs for procedures such as intensity modulated radiotherapy (CPT code 77385 or 77386) are available on the Medicare website. When reviewing locality deviations for 77427, there was a maximum of 33% increase in Medicare rates. Therefore, for treatment codes, one would expect the range to be at least the Medicare rate and maximally 33% higher. These rates are negotiated with insurance companies, but this range was used for the purpose of reviewing and adjusting large data sets.

RESULTS

Since 2018, > 500 community care consults have been placed by radiation oncology for treatment in the community, with more following implementation of the VA MISSION Act. Use of radiation oncology community care services annually increased during the study period for this facility (Table 1, Figure 2). Of the 325 community care consults placed from October 1, 2021, to February 1, 2024, 248 radiation oncology SEOCs were recorded with charges for 181 patients (range, 1-5 SEOCs). Long drive time was the rationale for > 97% of patients directed to community care (Supplemental materials, available at doi:10.12788/fp.0585). Based on AMCMS data, $22.2 million was billed and $2.7 million was paid (20%) for 8747 CPT codes. Each community care interval cost the VA a median (range) of $5000 ($8-$168,000 (Figure 3).

0525FED-AVAHO-RAD_T10525FED-AVAHO-RAD_F20525FED-AVAHO-RAD_F3

After reviewing ROS charges extracted from CTM, 20 additional patients had radiation oncology charges but did not have a radiation oncology SEOC for 268 episodes of care for 201 unique patients. In addition to the 20 patients who did not have a SEOC, 42 nonradiation oncology SEOCs contained 1148 radiation oncology codes, corresponding to almost $500,000 paid. Additional charges of about $416,000, which included biologic agents (eg, durvalumab, nivolumab), procedures (eg, mastectomies), and ambulance rides were inappropriately added to radiation oncology SEOCs.

While 77% of consultations were scanned into CPRS and JLV, only 54% of completion summaries were available with an estimated $115,000 in additional costs. The total adjusted costs was about $2.9 million. Almost 37% of SEOCs were for visits only. For the 166 SEOCs where patients received any radiation treatment or planning, the median cost was $18,000. Differences in SEOC pathways are shown in Figure 4. One hundred twenty-one SEOCs (45%) followed the standard pathway, with median SEOC costs of $15,500; when corrected for radiation-specific costs, the median cost increased to $18,000. When adjusted for billing irregularities, the median cost was $20,600. Ninety-nine SEOCs (37%) were for consultation/ follow-up visits only, with a median cost of $220. When omitting shared scans and nonradiation therapy costs and correcting for billing gaps, the median cost decreased to $170. A median of $9200 was paid per patient, with $12,900 for radiation therapy-specific costs and $13,300 adjusted for billing deviations. Narrowing to the 106 patients who received full, radical courses, the median SEOC, ROS, and adjusted radiation therapy costs increased to $19,400, $22,200, and $22,900, respectively (Table 2, Figure 5). Seventy-one SEOCs (26%) had already seen a radiation oncologist before the VA radiation oncology department was aware, and 49 SEOCs (18%) had retroactive approvals (Supplemental materials available at doi:10.12788/fp.0585).

0525FED-AVAHO-RAD_T20525FED-AVAHO-RAD_F40525FED-AVAHO-RAD_F5

Every consultation charge was reviewed. A typical patient following the standard pathway (eAppendix 2, available at doi:10.12788/ fp.0585) exhibited a predictable pattern of consultation payment, simulation and planning, multiple radiation treatments interspersed with treatment management visits and a cone-down phase, and finishing with a follow-up visit. A less predictable case with excess CPT codes, gaps in charges, and an additional unexpected palliative course is shown in eAppendix 3 (available at doi:10.12788/fp.0585). Gaps occurred in 42% of SEOCs with missed bills costing as much as $12,000. For example, a patient with lung cancer had a treatment summary note for lung cancer after completion that showed the patient received 30 fractions of 2 Gy, a typical course. Only 10 treatment codes and 3 of 6 weekly treatment management codes were available. There was a gap of 20 volumetric modulated arc therapy treatments, 3 physics weekly status checks, 3 physician managements notes, and a computed tomography simulation charge.

0525FED-AVAHO-RAD_eApp20525FED-AVAHO-RAD_eApp3

Between AMCMS and CTM, 10,005 CPT codes were evaluated; 1255 (12.5%) were unique to AMCMS (either related to the radiation oncology course, such as Evaluation and Management CPT codes or “other” unrelated codes) while 1158 (11.6%) were unique to CTM. Of the 7592 CPT codes shared between AMCMS and CTM, there was a discrepancy in 135 (1.8%); all were duplicates (CTM showed double payment while AMCMS showed $0 paid). The total CPT code costs came to $3.2 million with $560,000 unique to SEOCs and $500,000 unique to CTM. Treatment codes were the most common (33%) as shown in Table 3 and accounted for 55% of the cost ($1.8 million). About 700 CPT codes were considered “other,” typically for biologic therapeutic agents (Table 4 and eAppendix 4, available at doi:10.12788/fp.0585).

0525FED-AVAHO-RAD_T30525FED-AVAHO-RAD_T40525FED-AVAHO-RAD_eApp4

DISCUSSION

The current method of reporting radiation oncology costs used by VA is insufficient and misleading. Better data are needed to summarize purchased care costs to guide decisions about community care at the VA. Investigations into whether the extra costs for quality care (ie, expensive capital equipment, specialized staff, mandatory accreditations) are worthwhile if omitted at other facilities patients choose for their health care needs. No study has defined specialty care-specific costs by evaluating billing receipts from the CDW to answer the question. Kenamond et al highlight the need for radiation oncology for rural patients.11 Drive time was cited as the reason for community care referral for 97% of veterans, many of whom lived in rural locations. Of patients with rurality information who enrolled in community care, 57% came from rural or highly rural counties, and this ratio held for those who received full curative therapies. An executive administrator relying on AMCMS reports would see a median SEOC cost of $5000, but without ROS knowledge in coding, the administrator would miss many additional costs. For example, 2 patients who each had 5 SEOCs during the evaluated period, incurred a total cost of only $1800.

Additionally, an administrator could include miscategorized costs with significant ramifications. The 2 most expensive SEOCs were not typical radiation oncology treatments. A patient undergoing radium-223 dichloride therapy incurred charges exceeding $165,000, contributing disproportionately to the overall median cost analysis; this would normally be administered by the nuclear medicine department. Immunotherapy and chemotherapy are uniformly overseen by medical oncology services, but drug administration codes were still found in radiation oncology SEOCs. A patient (whose SEOC was discontinued but accrued charges) had an electrocardiogram interpretation for $8 as the SEOC cost; 3 other SEOCs continued to incur costs after being discontinued. There were 24 empty SEOCs for patients that had consults to the community, and 2 had notes stating treatment had been delivered yet there was no ROS costs or SEOC costs. Of the 268 encounters, 43% had some sort of billing irregularities (ie, missing treatment costs) that would be unlikely for a private practice to omit; it would be much more likely that the CDW miscategorized the payment despite confirmation of the 2 retrieval systems.

It would be inadvisable to make staffing decisions or forecast costs based on current SEOC reports without specialized curation. A simple yet effective improvement to the cost attribution process would be to restrict the analysis to encounters containing primary radiation treatment codes. This targeted approach allows more accurate identification of patients actively receiving radiation oncology treatment, while excluding those seen solely for consultations or follow-up visits. Implementing this refinement leads to a substantial increase in the median payment—from $5000 to $13,000—without requiring additional coding or data processing, thereby enhancing the accuracy of cost estimates with minimal effort.

Clarifying radiation oncology service costs requires addressing the time frame and services included, given laxity and interpretation of the SEOCs. VA community care departments have streamlined the reimbursement process at the expense of medical cost organization and accuracy; 86% of VA practitioners reported that ≥ 1 potential community health care partners had refused to work with the VA because of payment delays.12 Payments are contingent on correspondence from outside practices for community work. For radiation oncology, this includes the consultation but also critical radiation-related details of treatment, which were omitted nearly half the time. SEOC approval forms have many costly laboratory tests, imaging, and procedures that have little to do with radiation oncology cancer treatments but may be used in the workup and staging process; this creates noise when calculating radiation oncology fiscal cost.

The presumption that an episode of care equates to a completed radiation therapy course is incorrect; this occurs less than half of the time. An episode often refers to a return visit, or conversely, multiple treatment courses. As the patients’ medical homes are their VHA primary care practitioners, it would be particularly challenging to care for the patients without full treatment information, especially if adverse effects from therapy were to arise. As a tertiary specialty, radiation oncology does not seek out patients and are sent consultations from medical oncology, surgical, and medical oncologic specialties. Timesensitive processes such as workup, staging, and diagnosis often occur in parallel. This analysis revealed that patients see outside radiation oncologists prior to the VA. There are ≥ 100 patients who had radiation oncology codes without a radiation oncology SEOC or community care consultation, and in many cases, the consultation was placed after the patient was seen.

Given the lack of uniformity and standardization of patient traffic, the typical and expected pathways were insufficient to find the costs. Too many opportunities for errors and incorrect categorization of costs meant a different method would be necessary. Starting at the inception of the community care consult, only 1 diagnosis code can be entered. For patients with multiple diagnoses, one would not be able to tell what was treated without chart access. Radiation oncology consults come from primary and specialty care practitioners and nurses throughout the VA. Oftentimes, the referral would be solicited by the community radiation oncology clinic, diagnosing community specialty (ie, urology for a patient with prostate cancer), or indirectly from the patient through primary care. Many cases were retroactively approved as the veteran had already been consulted by the community care radiation oncologist. If the patient is drive-time eligible, it would be unlikely that they would leave and choose to return to the VA. There is no way for a facility VA service chief or administrator to mitigate VA community costs of care, especially as shown by the miscategorization of several codes. Database challenges exacerbate the issue: 1 patient changed her first and last name during this time frame, and 2 patients had the same name but different social security numbers. In order to strictly find costs between 2 discrete timepoints, 39 (15%) SEOCs were split and incomplete, and 6 SEOCs contained charges for 2 different patients. This was corrected, and all inadvertent charges were cancelled. Only 1 ICD code is allowed per community care consultation, so an investigation is required to find costs for patients with multiple sites of disease. Additionally, 5 of the patients marked for drive time were actually patients who received Gamma Knife and brachytherapy, services not available at the VA.

Hanks et al first attempted to calculate cost of radiation oncology services. External beam prostate cancer radiotherapy at 3 suburban California centers cost $6750 ($20,503 inflation adjusted) per patient before October 1984 and $5600 ($17,010 inflation adjusted) afterwards.13 According to the American Society for Radiation Oncology, Advocacy Radiation Oncology Case Rate Program Curative radiation courses should cost $20,000 to $30,000 and palliative courses should cost $10,000 to $15,000. These costs are consistent with totals demonstrated in this analysis and similar to the inflation-adjusted Hanks et al figures. Preliminary findings suggest that radiation treatment constituted more than half of the total expenditures, with a notable $4 million increase in adjusted cost compared to the Medicare rates, indicating significant variation. Direct comparisons with Medicaid or commercial payer rates remain unexplored.

Future Directions

During the study period, 201 patients received 186 courses of radiation therapy in the community, while 1014 patients were treated in-house for a total of 833 courses. A forthcoming analysis will directly compare the cost of in-house care with that of communitybased treatment, specifically breaking down expenditure differences by diagnosis. Future research should investigate strategies to align reimbursement with quality metrics, including the potential role of tertiary accreditation in incentivizing high-value care. Additional work is also warranted to assess patient out-ofpocket expenses across care settings and to benchmark VA reimbursement against Medicare, Medicaid, and private insurance rates. In any case, with the increasing possibility of fewer fractions for treatments such as stereotactic radiotherapy or palliative care therapy, there is a clear financial incentive to treat as frequently as allowed despite equal clinical outcomes.

CONCLUSIONS

Veterans increasingly choose to receive care closer to home if the option is available. In the VA iron triangle, cost comes at the expense of access but quantifying this has proved elusive in the cost accounting model currently used at the VA.1 The inclusion of all charges loosely associated with SEOCs significantly impairs the ability to conduct meaningful cost analyses. The current VA methodology not only introduces substantial noise into the data but also leads to a marked underestimation of the true cost of care delivered in community settings. Such misrepresentation risks driving policy decisions that could inappropriately reduce or eliminate in-house radiation oncology services. Categorizing costs effectively in the VA could assist in making managerial and administrative decisions and would prevent damaging service lines based on misleading or incorrect data. A system which differentiates between patients who have received any treatment codes vs those who have not would increase accuracy.

References
  1. Kissick W. Medicine’s Dilemmas: Infinite Needs Versus Finite Resources. 1st ed. Yale University Press; 1994.
  2. Albanese AP, Bope ET, Sanders KM, Bowman M. The VA MISSION Act of 2018: a potential game changer for rural GME expansion and veteran health care. J Rural Health. 2020;36(1):133-136. doi:10.1111/jrh.12360
  3. Office of Management and Budget (US). Budget of the United States Government, Fiscal Year 2025. Washington, DC: US Government Publishing Office; 2024. Available from: US Department of Veterans Affairs FY 2025 Budget Submission: Budget in Brief.
  4. US Department of Veterans Affairs. Veteran care claims. Accessed April 3, 2025. https://www.va.gov/COMMUNITYCARE/revenue-ops/Veteran-Care-Claims.asp
  5. US Centers for Medicare and Medicaid Services. Accessed April 3, 2025. Procedure price lookup https://www.medicare.gov/procedure-price-lookup
  6. US Department of Veterans Affairs. WellHive -Enterprise. Accessed April 3, 2025. https://department.va.gov/privacy/wp-content/uploads/sites/5/2023/05/FY23WellHiveEnterprisePIA.pdf
  7. US Centers for Medicare and Medicaid Services. RVU21a physician fee schedule, January 2021 release. Accessed April 3, 2025. https://www.cms.gov/medicaremedicare-fee-service-paymentphysicianfeeschedpfs-relative-value-files/rvu21a
  8. US Centers for Medicare and Medicaid Services. RVU22a physician fee schedule, January 2022 release. Accessed April 3, 2025. https://www.cms.gov/medicaremedicare-fee-service-paymentphysicianfeeschedpfs-relative-value-files/rvu22a
  9. US Centers for Medicare and Medicaid Services. RVU23a physician fee schedule, January 2023 release. Accessed April 3, 2025. https://www.cms.gov/medicare/medicare-fee-service-payment/physicianfeesched/pfs-relative-value-files/rvu23a
  10. US Centers for Medicare and Medicaid Services. RVU23a Medicare Physician Fee Schedule rates effective January 1, 2024, through March 8, 2024. Accessed on April 3, 2025. https://www.cms.gov/medicare/payment/fee-schedules/physician/pfs-relative-value-files/rvu24a
  11. Kenamond MC, Mourad WF, Randall ME, Kaushal A. No oncology patient left behind: challenges and solutions in rural radiation oncology. Lancet Reg Health Am. 2022;13:100289. doi:10.1016/j.lana.2022.100289
  12. Mattocks KM, Kroll-Desrosiers A, Kinney R, Elwy AR, Cunningham KJ, Mengeling MA. Understanding VA’s use of and relationships with community care providers under the MISSION Act. Med Care. 2021;59(Suppl 3):S252-S258. doi:10.1097/MLR.0000000000001545
  13. Hanks GE, Dunlap K. A comparison of the cost of various treatment methods for early cancer of the prostate. Int J Radiat Oncol Biol Phys. 1986;12(10):1879-1881. doi:10.1016/0360-3016(86)90334-2
  14. American Society of Radiation Oncology. Radiation oncology case rate program (ROCR). Accessed April 3, 2025. https://www.astro.org/advocacy/key-issues-8f3e5a3b76643265ee93287d79c4fc40/rocr
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Author and Disclosure Information

Ronald H. Shapiro, MD, MBAa; Reid F. Thompson, MD, PhDb,c; David A. Elliott, MDd,e,f; Christopher N. Watson, MDa; Helen Fosmire, MDa

Author affiliations
aRichard L. Roudebush Veterans Affairs Medical Center, Indianapolis, Indiana
bOregon Health & Science University, Portland
cVeterans Affairs Portland Health Care System, Oregon
dCharles S. Kettles Veterans Affairs Medical Center, Ann Arbor, Michigan
eUniversity of Michigan, Ann Arbor
fRogel Cancer Center, Ann Arbor, Michigan

Author disclosures The authors report no actual or potential conflicts of interest with regard to this article.

Correspondence: Ronald Shapiro ([email protected])

Fed Pract. 2025;42(suppl 2). Published online May 8. doi:10.12788/fp.0585

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Ronald H. Shapiro, MD, MBAa; Reid F. Thompson, MD, PhDb,c; David A. Elliott, MDd,e,f; Christopher N. Watson, MDa; Helen Fosmire, MDa

Author affiliations
aRichard L. Roudebush Veterans Affairs Medical Center, Indianapolis, Indiana
bOregon Health & Science University, Portland
cVeterans Affairs Portland Health Care System, Oregon
dCharles S. Kettles Veterans Affairs Medical Center, Ann Arbor, Michigan
eUniversity of Michigan, Ann Arbor
fRogel Cancer Center, Ann Arbor, Michigan

Author disclosures The authors report no actual or potential conflicts of interest with regard to this article.

Correspondence: Ronald Shapiro ([email protected])

Fed Pract. 2025;42(suppl 2). Published online May 8. doi:10.12788/fp.0585

Author and Disclosure Information

Ronald H. Shapiro, MD, MBAa; Reid F. Thompson, MD, PhDb,c; David A. Elliott, MDd,e,f; Christopher N. Watson, MDa; Helen Fosmire, MDa

Author affiliations
aRichard L. Roudebush Veterans Affairs Medical Center, Indianapolis, Indiana
bOregon Health & Science University, Portland
cVeterans Affairs Portland Health Care System, Oregon
dCharles S. Kettles Veterans Affairs Medical Center, Ann Arbor, Michigan
eUniversity of Michigan, Ann Arbor
fRogel Cancer Center, Ann Arbor, Michigan

Author disclosures The authors report no actual or potential conflicts of interest with regard to this article.

Correspondence: Ronald Shapiro ([email protected])

Fed Pract. 2025;42(suppl 2). Published online May 8. doi:10.12788/fp.0585

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William Kissick’s description of health care’s iron triangle in 1994 still resonates. Access, quality, and cost will always come at the expense of the others.1 In 2018, Congress passed the VA MISSION Act, allowing patients to pursue community care options for extended waits (> 28 days) or longer distance drive times of > 60 minutes for specialty care services, such as radiation oncology. According to Albanese et al, the VA MISSION Act sought to address gaps in care for veterans living in rural and underserved areas.2 The Veterans Health Administration (VHA) continues to increase community care spending, with a 13.8% increase in fiscal year 2024 and an expected cost of > $40 billion for 2025.3 One could argue this pays for access for remote patients and quality when services are unavailable, making it a direct application of the iron triangle.

The VA MISSION Act also bolstered the expansion of existing community care department staff to expediently facilitate and coordinate care and payments.2 Cost management and monitoring have become critical in predicting future staff requirements, maintaining functionality, and ensuring patients receive optimal care. The VHA purchases care through partner networks and defines these bundled health care services as standard episodes of care (SEOCs), which are “clinically related health care services for a specific unique illness or medical condition… over a defined period of time.”4 Medicare publishes its rates quarterly, and outpatient procedure pricing is readily available online.5 Along these same lines, the US Department of Veterans Affairs (VA) publishes a current list of available procedures and associated Current Procedure Technology (CPT) codes that are covered under its VA fee schedule for community care.

Unique challenges persist when using this system to accurately account for radiation oncology expenditures. This study was based on the current practices at the Richard L. Roudebush VA Medical Center (RLRVAMC), a large 1a hospital. A detailed analysis reveals the contemporaneous cost of radiation oncology cancer care from October 1, 2021, through February 1, 2024, highlights the challenges in SEOC definition and duration, communication issues between RLRVAMC and purchase partners, inconsistencies in billing, erroneous payments, and difficulty of cost categorization.

METHODS

Community care radiation oncology-related costs were examined from October 1, 2021, to February 1, 2024 for RLRVAMC, 6 months prior to billing data extraction. Figure 1 shows a simple radiation oncology patient pathway with consultation or visit, simulation and planning, and treatment, with codes used to check billing. It illustrates the expected relationships between the VHA (radiation oncology, primary, and specialty care) and community care (clinicians and radiation oncology treatment sites).

0525FED-AVAHO-RAD_F1

VHA standard operating procedures for a patient requesting community-based radiation oncology care require a board-certified radiation oncologist at RLRVAMC to review and approve the outside care request. Community care radiation oncology consultation data were accessed from the VA Corporate Data Warehouse (CDW) using Pyramid Analytics (V25.2). Nurses, physicians, and community care staff can add comments, forward consultations to other services, and mark them as complete or discontinued, when appropriate. Consultations not completed within 91 days are automatically discontinued. All community care requests from 2018 through 2024 were extracted; analysis began April 1, 2021, 6 months prior to the cost evaluation date of October 1, 2021.

An approved consultation is reviewed for eligibility by a nurse in the community care department and assigned an authorization number (a VA prefix followed by 12 digits). Billing codes are approved and organized by the community care networks, and all procedure codes should be captured and labeled under this number. The VAMC Community Care department obtains initial correspondence from the treating clinicians. Subsequent records from the treating radiation oncologist are expected to be scanned into the electronic health record and made accessible via the VA Joint Legacy Viewer (JLV) and Computerized Patient Record System (CPRS).

Radiation Oncology SEOC

The start date of the radiation oncology SEOC is determined by the community care nurse based on guidance established by the VA. It can be manually backdated or delayed, but current practice is to start at first visit or procedure code entry after approval from the VAMC Radiation Oncology department. Approved CPT codes from SEOC versions between October 1, 2021, and February 1, 2024, are in eAppendix 1 (available at doi:10.12788/fp.0585). These generally include 10 types of encounters, about 115 different laboratory tests, 115 imaging studies, 25 simulation and planning procedures, and 115 radiation treatment codes. The radiation oncology SEOCs during the study period had an approval duration of 180 days. Advanced Medical Cost Management Solutions software (AMCMS) is the VHA data analytics platform for community care medical service costs. AMCMS includes all individual CPT codes billed by specific radiation oncology SEOC versions. Data are refreshed monthly, and all charges were extracted on September 12, 2024, > 6 months after the final evaluated service date to allow for complete billing returns.6

0525FED-AVAHO-RAD_eApp1
Radiation Oncology-Specific Costs

The VA Close to Me (CTM) program was used to find 84 specific radiation oncology CPT codes, nearly all within the 77.XXX or G6.XXX series, which included all radiation oncology-specific (ROS) codes (except visits accrued during consultation and return appointments). ROS costs are those that could not be performed by any other service and include procedures related to radiation oncology simulation, treatment planning, treatment delivery (with or without image guidance), and physician or physicist management. All ROS costs should be included in a patient’s radiation oncology SEOC. Other costs that may accompany operating room or brachytherapy administration did not follow a 77.XXX or G6.XXX pattern but were included in total radiation therapy operating costs.

Data obtained from AMCMS and CTM included patient name and identifier; CPT billed amount; CPT paid amount; dates of service; number of claims; International Classification of Diseases, Tenth Revision (ICD) diagnosis; and VA authorization numbers. Only CTM listed code modifiers. Only items categorized as paid were included in the analysis. Charges associated with discontinued consultations that had accrued costs also were included. Codes that were not directly related to ROS were separately characterized as other and further subcategorized.

Deep Dive Categorization

All scanned documents tagged to the community consultation were accessed and evaluated for completeness by a radiation oncologist (RS). The presence or absence of consultation notes and treatment summaries was evaluated based on necessity (ie, not needed for continuation of care or treatment was not given). In the absence of a specific completion summary or follow-up note detailing the treatment modality, number of fractions, and treatment sites, available documentation, including clinical notes and billing information, was used. Radical or curative therapies were identified as courses expected to eradicate disease, including stereotactic ablative radiotherapy to the brain, lung, liver, and other organs. Palliative therapies included whole-brain radiotherapy or other low-dose treatments. If the patient received the intended course, this was categorized as full. If incomplete, it was considered partial.

Billing Deviations

The complete document review allowed for close evaluation of paid therapy and identification of gaps in billing (eg, charges not found in extracted data that should have occurred) for external beam radiotherapy patients. Conversely, extra charges, such as an additional weekly treatment management charge (CPT code 77427), would be noted. Patients were expected to have the number of treatments specified in the summary, a clinical treatment planning code, and weekly treatment management notes from physicians and physicists every 5 fractions. Consultations and follow-up visits were expected to have 1 visit code; CPT codes 99205 and 99215, respectively, were used to estimate costs in their absence.

Costs were based on Medicare rates as of January 1 of the year in which they were accrued. 7-10 Duplicates were charges with the same code, date, billed quantity, and paid amounts for a given patient. These would always be considered erroneous. Medicare treatment costs for procedures such as intensity modulated radiotherapy (CPT code 77385 or 77386) are available on the Medicare website. When reviewing locality deviations for 77427, there was a maximum of 33% increase in Medicare rates. Therefore, for treatment codes, one would expect the range to be at least the Medicare rate and maximally 33% higher. These rates are negotiated with insurance companies, but this range was used for the purpose of reviewing and adjusting large data sets.

RESULTS

Since 2018, > 500 community care consults have been placed by radiation oncology for treatment in the community, with more following implementation of the VA MISSION Act. Use of radiation oncology community care services annually increased during the study period for this facility (Table 1, Figure 2). Of the 325 community care consults placed from October 1, 2021, to February 1, 2024, 248 radiation oncology SEOCs were recorded with charges for 181 patients (range, 1-5 SEOCs). Long drive time was the rationale for > 97% of patients directed to community care (Supplemental materials, available at doi:10.12788/fp.0585). Based on AMCMS data, $22.2 million was billed and $2.7 million was paid (20%) for 8747 CPT codes. Each community care interval cost the VA a median (range) of $5000 ($8-$168,000 (Figure 3).

0525FED-AVAHO-RAD_T10525FED-AVAHO-RAD_F20525FED-AVAHO-RAD_F3

After reviewing ROS charges extracted from CTM, 20 additional patients had radiation oncology charges but did not have a radiation oncology SEOC for 268 episodes of care for 201 unique patients. In addition to the 20 patients who did not have a SEOC, 42 nonradiation oncology SEOCs contained 1148 radiation oncology codes, corresponding to almost $500,000 paid. Additional charges of about $416,000, which included biologic agents (eg, durvalumab, nivolumab), procedures (eg, mastectomies), and ambulance rides were inappropriately added to radiation oncology SEOCs.

While 77% of consultations were scanned into CPRS and JLV, only 54% of completion summaries were available with an estimated $115,000 in additional costs. The total adjusted costs was about $2.9 million. Almost 37% of SEOCs were for visits only. For the 166 SEOCs where patients received any radiation treatment or planning, the median cost was $18,000. Differences in SEOC pathways are shown in Figure 4. One hundred twenty-one SEOCs (45%) followed the standard pathway, with median SEOC costs of $15,500; when corrected for radiation-specific costs, the median cost increased to $18,000. When adjusted for billing irregularities, the median cost was $20,600. Ninety-nine SEOCs (37%) were for consultation/ follow-up visits only, with a median cost of $220. When omitting shared scans and nonradiation therapy costs and correcting for billing gaps, the median cost decreased to $170. A median of $9200 was paid per patient, with $12,900 for radiation therapy-specific costs and $13,300 adjusted for billing deviations. Narrowing to the 106 patients who received full, radical courses, the median SEOC, ROS, and adjusted radiation therapy costs increased to $19,400, $22,200, and $22,900, respectively (Table 2, Figure 5). Seventy-one SEOCs (26%) had already seen a radiation oncologist before the VA radiation oncology department was aware, and 49 SEOCs (18%) had retroactive approvals (Supplemental materials available at doi:10.12788/fp.0585).

0525FED-AVAHO-RAD_T20525FED-AVAHO-RAD_F40525FED-AVAHO-RAD_F5

Every consultation charge was reviewed. A typical patient following the standard pathway (eAppendix 2, available at doi:10.12788/ fp.0585) exhibited a predictable pattern of consultation payment, simulation and planning, multiple radiation treatments interspersed with treatment management visits and a cone-down phase, and finishing with a follow-up visit. A less predictable case with excess CPT codes, gaps in charges, and an additional unexpected palliative course is shown in eAppendix 3 (available at doi:10.12788/fp.0585). Gaps occurred in 42% of SEOCs with missed bills costing as much as $12,000. For example, a patient with lung cancer had a treatment summary note for lung cancer after completion that showed the patient received 30 fractions of 2 Gy, a typical course. Only 10 treatment codes and 3 of 6 weekly treatment management codes were available. There was a gap of 20 volumetric modulated arc therapy treatments, 3 physics weekly status checks, 3 physician managements notes, and a computed tomography simulation charge.

0525FED-AVAHO-RAD_eApp20525FED-AVAHO-RAD_eApp3

Between AMCMS and CTM, 10,005 CPT codes were evaluated; 1255 (12.5%) were unique to AMCMS (either related to the radiation oncology course, such as Evaluation and Management CPT codes or “other” unrelated codes) while 1158 (11.6%) were unique to CTM. Of the 7592 CPT codes shared between AMCMS and CTM, there was a discrepancy in 135 (1.8%); all were duplicates (CTM showed double payment while AMCMS showed $0 paid). The total CPT code costs came to $3.2 million with $560,000 unique to SEOCs and $500,000 unique to CTM. Treatment codes were the most common (33%) as shown in Table 3 and accounted for 55% of the cost ($1.8 million). About 700 CPT codes were considered “other,” typically for biologic therapeutic agents (Table 4 and eAppendix 4, available at doi:10.12788/fp.0585).

0525FED-AVAHO-RAD_T30525FED-AVAHO-RAD_T40525FED-AVAHO-RAD_eApp4

DISCUSSION

The current method of reporting radiation oncology costs used by VA is insufficient and misleading. Better data are needed to summarize purchased care costs to guide decisions about community care at the VA. Investigations into whether the extra costs for quality care (ie, expensive capital equipment, specialized staff, mandatory accreditations) are worthwhile if omitted at other facilities patients choose for their health care needs. No study has defined specialty care-specific costs by evaluating billing receipts from the CDW to answer the question. Kenamond et al highlight the need for radiation oncology for rural patients.11 Drive time was cited as the reason for community care referral for 97% of veterans, many of whom lived in rural locations. Of patients with rurality information who enrolled in community care, 57% came from rural or highly rural counties, and this ratio held for those who received full curative therapies. An executive administrator relying on AMCMS reports would see a median SEOC cost of $5000, but without ROS knowledge in coding, the administrator would miss many additional costs. For example, 2 patients who each had 5 SEOCs during the evaluated period, incurred a total cost of only $1800.

Additionally, an administrator could include miscategorized costs with significant ramifications. The 2 most expensive SEOCs were not typical radiation oncology treatments. A patient undergoing radium-223 dichloride therapy incurred charges exceeding $165,000, contributing disproportionately to the overall median cost analysis; this would normally be administered by the nuclear medicine department. Immunotherapy and chemotherapy are uniformly overseen by medical oncology services, but drug administration codes were still found in radiation oncology SEOCs. A patient (whose SEOC was discontinued but accrued charges) had an electrocardiogram interpretation for $8 as the SEOC cost; 3 other SEOCs continued to incur costs after being discontinued. There were 24 empty SEOCs for patients that had consults to the community, and 2 had notes stating treatment had been delivered yet there was no ROS costs or SEOC costs. Of the 268 encounters, 43% had some sort of billing irregularities (ie, missing treatment costs) that would be unlikely for a private practice to omit; it would be much more likely that the CDW miscategorized the payment despite confirmation of the 2 retrieval systems.

It would be inadvisable to make staffing decisions or forecast costs based on current SEOC reports without specialized curation. A simple yet effective improvement to the cost attribution process would be to restrict the analysis to encounters containing primary radiation treatment codes. This targeted approach allows more accurate identification of patients actively receiving radiation oncology treatment, while excluding those seen solely for consultations or follow-up visits. Implementing this refinement leads to a substantial increase in the median payment—from $5000 to $13,000—without requiring additional coding or data processing, thereby enhancing the accuracy of cost estimates with minimal effort.

Clarifying radiation oncology service costs requires addressing the time frame and services included, given laxity and interpretation of the SEOCs. VA community care departments have streamlined the reimbursement process at the expense of medical cost organization and accuracy; 86% of VA practitioners reported that ≥ 1 potential community health care partners had refused to work with the VA because of payment delays.12 Payments are contingent on correspondence from outside practices for community work. For radiation oncology, this includes the consultation but also critical radiation-related details of treatment, which were omitted nearly half the time. SEOC approval forms have many costly laboratory tests, imaging, and procedures that have little to do with radiation oncology cancer treatments but may be used in the workup and staging process; this creates noise when calculating radiation oncology fiscal cost.

The presumption that an episode of care equates to a completed radiation therapy course is incorrect; this occurs less than half of the time. An episode often refers to a return visit, or conversely, multiple treatment courses. As the patients’ medical homes are their VHA primary care practitioners, it would be particularly challenging to care for the patients without full treatment information, especially if adverse effects from therapy were to arise. As a tertiary specialty, radiation oncology does not seek out patients and are sent consultations from medical oncology, surgical, and medical oncologic specialties. Timesensitive processes such as workup, staging, and diagnosis often occur in parallel. This analysis revealed that patients see outside radiation oncologists prior to the VA. There are ≥ 100 patients who had radiation oncology codes without a radiation oncology SEOC or community care consultation, and in many cases, the consultation was placed after the patient was seen.

Given the lack of uniformity and standardization of patient traffic, the typical and expected pathways were insufficient to find the costs. Too many opportunities for errors and incorrect categorization of costs meant a different method would be necessary. Starting at the inception of the community care consult, only 1 diagnosis code can be entered. For patients with multiple diagnoses, one would not be able to tell what was treated without chart access. Radiation oncology consults come from primary and specialty care practitioners and nurses throughout the VA. Oftentimes, the referral would be solicited by the community radiation oncology clinic, diagnosing community specialty (ie, urology for a patient with prostate cancer), or indirectly from the patient through primary care. Many cases were retroactively approved as the veteran had already been consulted by the community care radiation oncologist. If the patient is drive-time eligible, it would be unlikely that they would leave and choose to return to the VA. There is no way for a facility VA service chief or administrator to mitigate VA community costs of care, especially as shown by the miscategorization of several codes. Database challenges exacerbate the issue: 1 patient changed her first and last name during this time frame, and 2 patients had the same name but different social security numbers. In order to strictly find costs between 2 discrete timepoints, 39 (15%) SEOCs were split and incomplete, and 6 SEOCs contained charges for 2 different patients. This was corrected, and all inadvertent charges were cancelled. Only 1 ICD code is allowed per community care consultation, so an investigation is required to find costs for patients with multiple sites of disease. Additionally, 5 of the patients marked for drive time were actually patients who received Gamma Knife and brachytherapy, services not available at the VA.

Hanks et al first attempted to calculate cost of radiation oncology services. External beam prostate cancer radiotherapy at 3 suburban California centers cost $6750 ($20,503 inflation adjusted) per patient before October 1984 and $5600 ($17,010 inflation adjusted) afterwards.13 According to the American Society for Radiation Oncology, Advocacy Radiation Oncology Case Rate Program Curative radiation courses should cost $20,000 to $30,000 and palliative courses should cost $10,000 to $15,000. These costs are consistent with totals demonstrated in this analysis and similar to the inflation-adjusted Hanks et al figures. Preliminary findings suggest that radiation treatment constituted more than half of the total expenditures, with a notable $4 million increase in adjusted cost compared to the Medicare rates, indicating significant variation. Direct comparisons with Medicaid or commercial payer rates remain unexplored.

Future Directions

During the study period, 201 patients received 186 courses of radiation therapy in the community, while 1014 patients were treated in-house for a total of 833 courses. A forthcoming analysis will directly compare the cost of in-house care with that of communitybased treatment, specifically breaking down expenditure differences by diagnosis. Future research should investigate strategies to align reimbursement with quality metrics, including the potential role of tertiary accreditation in incentivizing high-value care. Additional work is also warranted to assess patient out-ofpocket expenses across care settings and to benchmark VA reimbursement against Medicare, Medicaid, and private insurance rates. In any case, with the increasing possibility of fewer fractions for treatments such as stereotactic radiotherapy or palliative care therapy, there is a clear financial incentive to treat as frequently as allowed despite equal clinical outcomes.

CONCLUSIONS

Veterans increasingly choose to receive care closer to home if the option is available. In the VA iron triangle, cost comes at the expense of access but quantifying this has proved elusive in the cost accounting model currently used at the VA.1 The inclusion of all charges loosely associated with SEOCs significantly impairs the ability to conduct meaningful cost analyses. The current VA methodology not only introduces substantial noise into the data but also leads to a marked underestimation of the true cost of care delivered in community settings. Such misrepresentation risks driving policy decisions that could inappropriately reduce or eliminate in-house radiation oncology services. Categorizing costs effectively in the VA could assist in making managerial and administrative decisions and would prevent damaging service lines based on misleading or incorrect data. A system which differentiates between patients who have received any treatment codes vs those who have not would increase accuracy.

William Kissick’s description of health care’s iron triangle in 1994 still resonates. Access, quality, and cost will always come at the expense of the others.1 In 2018, Congress passed the VA MISSION Act, allowing patients to pursue community care options for extended waits (> 28 days) or longer distance drive times of > 60 minutes for specialty care services, such as radiation oncology. According to Albanese et al, the VA MISSION Act sought to address gaps in care for veterans living in rural and underserved areas.2 The Veterans Health Administration (VHA) continues to increase community care spending, with a 13.8% increase in fiscal year 2024 and an expected cost of > $40 billion for 2025.3 One could argue this pays for access for remote patients and quality when services are unavailable, making it a direct application of the iron triangle.

The VA MISSION Act also bolstered the expansion of existing community care department staff to expediently facilitate and coordinate care and payments.2 Cost management and monitoring have become critical in predicting future staff requirements, maintaining functionality, and ensuring patients receive optimal care. The VHA purchases care through partner networks and defines these bundled health care services as standard episodes of care (SEOCs), which are “clinically related health care services for a specific unique illness or medical condition… over a defined period of time.”4 Medicare publishes its rates quarterly, and outpatient procedure pricing is readily available online.5 Along these same lines, the US Department of Veterans Affairs (VA) publishes a current list of available procedures and associated Current Procedure Technology (CPT) codes that are covered under its VA fee schedule for community care.

Unique challenges persist when using this system to accurately account for radiation oncology expenditures. This study was based on the current practices at the Richard L. Roudebush VA Medical Center (RLRVAMC), a large 1a hospital. A detailed analysis reveals the contemporaneous cost of radiation oncology cancer care from October 1, 2021, through February 1, 2024, highlights the challenges in SEOC definition and duration, communication issues between RLRVAMC and purchase partners, inconsistencies in billing, erroneous payments, and difficulty of cost categorization.

METHODS

Community care radiation oncology-related costs were examined from October 1, 2021, to February 1, 2024 for RLRVAMC, 6 months prior to billing data extraction. Figure 1 shows a simple radiation oncology patient pathway with consultation or visit, simulation and planning, and treatment, with codes used to check billing. It illustrates the expected relationships between the VHA (radiation oncology, primary, and specialty care) and community care (clinicians and radiation oncology treatment sites).

0525FED-AVAHO-RAD_F1

VHA standard operating procedures for a patient requesting community-based radiation oncology care require a board-certified radiation oncologist at RLRVAMC to review and approve the outside care request. Community care radiation oncology consultation data were accessed from the VA Corporate Data Warehouse (CDW) using Pyramid Analytics (V25.2). Nurses, physicians, and community care staff can add comments, forward consultations to other services, and mark them as complete or discontinued, when appropriate. Consultations not completed within 91 days are automatically discontinued. All community care requests from 2018 through 2024 were extracted; analysis began April 1, 2021, 6 months prior to the cost evaluation date of October 1, 2021.

An approved consultation is reviewed for eligibility by a nurse in the community care department and assigned an authorization number (a VA prefix followed by 12 digits). Billing codes are approved and organized by the community care networks, and all procedure codes should be captured and labeled under this number. The VAMC Community Care department obtains initial correspondence from the treating clinicians. Subsequent records from the treating radiation oncologist are expected to be scanned into the electronic health record and made accessible via the VA Joint Legacy Viewer (JLV) and Computerized Patient Record System (CPRS).

Radiation Oncology SEOC

The start date of the radiation oncology SEOC is determined by the community care nurse based on guidance established by the VA. It can be manually backdated or delayed, but current practice is to start at first visit or procedure code entry after approval from the VAMC Radiation Oncology department. Approved CPT codes from SEOC versions between October 1, 2021, and February 1, 2024, are in eAppendix 1 (available at doi:10.12788/fp.0585). These generally include 10 types of encounters, about 115 different laboratory tests, 115 imaging studies, 25 simulation and planning procedures, and 115 radiation treatment codes. The radiation oncology SEOCs during the study period had an approval duration of 180 days. Advanced Medical Cost Management Solutions software (AMCMS) is the VHA data analytics platform for community care medical service costs. AMCMS includes all individual CPT codes billed by specific radiation oncology SEOC versions. Data are refreshed monthly, and all charges were extracted on September 12, 2024, > 6 months after the final evaluated service date to allow for complete billing returns.6

0525FED-AVAHO-RAD_eApp1
Radiation Oncology-Specific Costs

The VA Close to Me (CTM) program was used to find 84 specific radiation oncology CPT codes, nearly all within the 77.XXX or G6.XXX series, which included all radiation oncology-specific (ROS) codes (except visits accrued during consultation and return appointments). ROS costs are those that could not be performed by any other service and include procedures related to radiation oncology simulation, treatment planning, treatment delivery (with or without image guidance), and physician or physicist management. All ROS costs should be included in a patient’s radiation oncology SEOC. Other costs that may accompany operating room or brachytherapy administration did not follow a 77.XXX or G6.XXX pattern but were included in total radiation therapy operating costs.

Data obtained from AMCMS and CTM included patient name and identifier; CPT billed amount; CPT paid amount; dates of service; number of claims; International Classification of Diseases, Tenth Revision (ICD) diagnosis; and VA authorization numbers. Only CTM listed code modifiers. Only items categorized as paid were included in the analysis. Charges associated with discontinued consultations that had accrued costs also were included. Codes that were not directly related to ROS were separately characterized as other and further subcategorized.

Deep Dive Categorization

All scanned documents tagged to the community consultation were accessed and evaluated for completeness by a radiation oncologist (RS). The presence or absence of consultation notes and treatment summaries was evaluated based on necessity (ie, not needed for continuation of care or treatment was not given). In the absence of a specific completion summary or follow-up note detailing the treatment modality, number of fractions, and treatment sites, available documentation, including clinical notes and billing information, was used. Radical or curative therapies were identified as courses expected to eradicate disease, including stereotactic ablative radiotherapy to the brain, lung, liver, and other organs. Palliative therapies included whole-brain radiotherapy or other low-dose treatments. If the patient received the intended course, this was categorized as full. If incomplete, it was considered partial.

Billing Deviations

The complete document review allowed for close evaluation of paid therapy and identification of gaps in billing (eg, charges not found in extracted data that should have occurred) for external beam radiotherapy patients. Conversely, extra charges, such as an additional weekly treatment management charge (CPT code 77427), would be noted. Patients were expected to have the number of treatments specified in the summary, a clinical treatment planning code, and weekly treatment management notes from physicians and physicists every 5 fractions. Consultations and follow-up visits were expected to have 1 visit code; CPT codes 99205 and 99215, respectively, were used to estimate costs in their absence.

Costs were based on Medicare rates as of January 1 of the year in which they were accrued. 7-10 Duplicates were charges with the same code, date, billed quantity, and paid amounts for a given patient. These would always be considered erroneous. Medicare treatment costs for procedures such as intensity modulated radiotherapy (CPT code 77385 or 77386) are available on the Medicare website. When reviewing locality deviations for 77427, there was a maximum of 33% increase in Medicare rates. Therefore, for treatment codes, one would expect the range to be at least the Medicare rate and maximally 33% higher. These rates are negotiated with insurance companies, but this range was used for the purpose of reviewing and adjusting large data sets.

RESULTS

Since 2018, > 500 community care consults have been placed by radiation oncology for treatment in the community, with more following implementation of the VA MISSION Act. Use of radiation oncology community care services annually increased during the study period for this facility (Table 1, Figure 2). Of the 325 community care consults placed from October 1, 2021, to February 1, 2024, 248 radiation oncology SEOCs were recorded with charges for 181 patients (range, 1-5 SEOCs). Long drive time was the rationale for > 97% of patients directed to community care (Supplemental materials, available at doi:10.12788/fp.0585). Based on AMCMS data, $22.2 million was billed and $2.7 million was paid (20%) for 8747 CPT codes. Each community care interval cost the VA a median (range) of $5000 ($8-$168,000 (Figure 3).

0525FED-AVAHO-RAD_T10525FED-AVAHO-RAD_F20525FED-AVAHO-RAD_F3

After reviewing ROS charges extracted from CTM, 20 additional patients had radiation oncology charges but did not have a radiation oncology SEOC for 268 episodes of care for 201 unique patients. In addition to the 20 patients who did not have a SEOC, 42 nonradiation oncology SEOCs contained 1148 radiation oncology codes, corresponding to almost $500,000 paid. Additional charges of about $416,000, which included biologic agents (eg, durvalumab, nivolumab), procedures (eg, mastectomies), and ambulance rides were inappropriately added to radiation oncology SEOCs.

While 77% of consultations were scanned into CPRS and JLV, only 54% of completion summaries were available with an estimated $115,000 in additional costs. The total adjusted costs was about $2.9 million. Almost 37% of SEOCs were for visits only. For the 166 SEOCs where patients received any radiation treatment or planning, the median cost was $18,000. Differences in SEOC pathways are shown in Figure 4. One hundred twenty-one SEOCs (45%) followed the standard pathway, with median SEOC costs of $15,500; when corrected for radiation-specific costs, the median cost increased to $18,000. When adjusted for billing irregularities, the median cost was $20,600. Ninety-nine SEOCs (37%) were for consultation/ follow-up visits only, with a median cost of $220. When omitting shared scans and nonradiation therapy costs and correcting for billing gaps, the median cost decreased to $170. A median of $9200 was paid per patient, with $12,900 for radiation therapy-specific costs and $13,300 adjusted for billing deviations. Narrowing to the 106 patients who received full, radical courses, the median SEOC, ROS, and adjusted radiation therapy costs increased to $19,400, $22,200, and $22,900, respectively (Table 2, Figure 5). Seventy-one SEOCs (26%) had already seen a radiation oncologist before the VA radiation oncology department was aware, and 49 SEOCs (18%) had retroactive approvals (Supplemental materials available at doi:10.12788/fp.0585).

0525FED-AVAHO-RAD_T20525FED-AVAHO-RAD_F40525FED-AVAHO-RAD_F5

Every consultation charge was reviewed. A typical patient following the standard pathway (eAppendix 2, available at doi:10.12788/ fp.0585) exhibited a predictable pattern of consultation payment, simulation and planning, multiple radiation treatments interspersed with treatment management visits and a cone-down phase, and finishing with a follow-up visit. A less predictable case with excess CPT codes, gaps in charges, and an additional unexpected palliative course is shown in eAppendix 3 (available at doi:10.12788/fp.0585). Gaps occurred in 42% of SEOCs with missed bills costing as much as $12,000. For example, a patient with lung cancer had a treatment summary note for lung cancer after completion that showed the patient received 30 fractions of 2 Gy, a typical course. Only 10 treatment codes and 3 of 6 weekly treatment management codes were available. There was a gap of 20 volumetric modulated arc therapy treatments, 3 physics weekly status checks, 3 physician managements notes, and a computed tomography simulation charge.

0525FED-AVAHO-RAD_eApp20525FED-AVAHO-RAD_eApp3

Between AMCMS and CTM, 10,005 CPT codes were evaluated; 1255 (12.5%) were unique to AMCMS (either related to the radiation oncology course, such as Evaluation and Management CPT codes or “other” unrelated codes) while 1158 (11.6%) were unique to CTM. Of the 7592 CPT codes shared between AMCMS and CTM, there was a discrepancy in 135 (1.8%); all were duplicates (CTM showed double payment while AMCMS showed $0 paid). The total CPT code costs came to $3.2 million with $560,000 unique to SEOCs and $500,000 unique to CTM. Treatment codes were the most common (33%) as shown in Table 3 and accounted for 55% of the cost ($1.8 million). About 700 CPT codes were considered “other,” typically for biologic therapeutic agents (Table 4 and eAppendix 4, available at doi:10.12788/fp.0585).

0525FED-AVAHO-RAD_T30525FED-AVAHO-RAD_T40525FED-AVAHO-RAD_eApp4

DISCUSSION

The current method of reporting radiation oncology costs used by VA is insufficient and misleading. Better data are needed to summarize purchased care costs to guide decisions about community care at the VA. Investigations into whether the extra costs for quality care (ie, expensive capital equipment, specialized staff, mandatory accreditations) are worthwhile if omitted at other facilities patients choose for their health care needs. No study has defined specialty care-specific costs by evaluating billing receipts from the CDW to answer the question. Kenamond et al highlight the need for radiation oncology for rural patients.11 Drive time was cited as the reason for community care referral for 97% of veterans, many of whom lived in rural locations. Of patients with rurality information who enrolled in community care, 57% came from rural or highly rural counties, and this ratio held for those who received full curative therapies. An executive administrator relying on AMCMS reports would see a median SEOC cost of $5000, but without ROS knowledge in coding, the administrator would miss many additional costs. For example, 2 patients who each had 5 SEOCs during the evaluated period, incurred a total cost of only $1800.

Additionally, an administrator could include miscategorized costs with significant ramifications. The 2 most expensive SEOCs were not typical radiation oncology treatments. A patient undergoing radium-223 dichloride therapy incurred charges exceeding $165,000, contributing disproportionately to the overall median cost analysis; this would normally be administered by the nuclear medicine department. Immunotherapy and chemotherapy are uniformly overseen by medical oncology services, but drug administration codes were still found in radiation oncology SEOCs. A patient (whose SEOC was discontinued but accrued charges) had an electrocardiogram interpretation for $8 as the SEOC cost; 3 other SEOCs continued to incur costs after being discontinued. There were 24 empty SEOCs for patients that had consults to the community, and 2 had notes stating treatment had been delivered yet there was no ROS costs or SEOC costs. Of the 268 encounters, 43% had some sort of billing irregularities (ie, missing treatment costs) that would be unlikely for a private practice to omit; it would be much more likely that the CDW miscategorized the payment despite confirmation of the 2 retrieval systems.

It would be inadvisable to make staffing decisions or forecast costs based on current SEOC reports without specialized curation. A simple yet effective improvement to the cost attribution process would be to restrict the analysis to encounters containing primary radiation treatment codes. This targeted approach allows more accurate identification of patients actively receiving radiation oncology treatment, while excluding those seen solely for consultations or follow-up visits. Implementing this refinement leads to a substantial increase in the median payment—from $5000 to $13,000—without requiring additional coding or data processing, thereby enhancing the accuracy of cost estimates with minimal effort.

Clarifying radiation oncology service costs requires addressing the time frame and services included, given laxity and interpretation of the SEOCs. VA community care departments have streamlined the reimbursement process at the expense of medical cost organization and accuracy; 86% of VA practitioners reported that ≥ 1 potential community health care partners had refused to work with the VA because of payment delays.12 Payments are contingent on correspondence from outside practices for community work. For radiation oncology, this includes the consultation but also critical radiation-related details of treatment, which were omitted nearly half the time. SEOC approval forms have many costly laboratory tests, imaging, and procedures that have little to do with radiation oncology cancer treatments but may be used in the workup and staging process; this creates noise when calculating radiation oncology fiscal cost.

The presumption that an episode of care equates to a completed radiation therapy course is incorrect; this occurs less than half of the time. An episode often refers to a return visit, or conversely, multiple treatment courses. As the patients’ medical homes are their VHA primary care practitioners, it would be particularly challenging to care for the patients without full treatment information, especially if adverse effects from therapy were to arise. As a tertiary specialty, radiation oncology does not seek out patients and are sent consultations from medical oncology, surgical, and medical oncologic specialties. Timesensitive processes such as workup, staging, and diagnosis often occur in parallel. This analysis revealed that patients see outside radiation oncologists prior to the VA. There are ≥ 100 patients who had radiation oncology codes without a radiation oncology SEOC or community care consultation, and in many cases, the consultation was placed after the patient was seen.

Given the lack of uniformity and standardization of patient traffic, the typical and expected pathways were insufficient to find the costs. Too many opportunities for errors and incorrect categorization of costs meant a different method would be necessary. Starting at the inception of the community care consult, only 1 diagnosis code can be entered. For patients with multiple diagnoses, one would not be able to tell what was treated without chart access. Radiation oncology consults come from primary and specialty care practitioners and nurses throughout the VA. Oftentimes, the referral would be solicited by the community radiation oncology clinic, diagnosing community specialty (ie, urology for a patient with prostate cancer), or indirectly from the patient through primary care. Many cases were retroactively approved as the veteran had already been consulted by the community care radiation oncologist. If the patient is drive-time eligible, it would be unlikely that they would leave and choose to return to the VA. There is no way for a facility VA service chief or administrator to mitigate VA community costs of care, especially as shown by the miscategorization of several codes. Database challenges exacerbate the issue: 1 patient changed her first and last name during this time frame, and 2 patients had the same name but different social security numbers. In order to strictly find costs between 2 discrete timepoints, 39 (15%) SEOCs were split and incomplete, and 6 SEOCs contained charges for 2 different patients. This was corrected, and all inadvertent charges were cancelled. Only 1 ICD code is allowed per community care consultation, so an investigation is required to find costs for patients with multiple sites of disease. Additionally, 5 of the patients marked for drive time were actually patients who received Gamma Knife and brachytherapy, services not available at the VA.

Hanks et al first attempted to calculate cost of radiation oncology services. External beam prostate cancer radiotherapy at 3 suburban California centers cost $6750 ($20,503 inflation adjusted) per patient before October 1984 and $5600 ($17,010 inflation adjusted) afterwards.13 According to the American Society for Radiation Oncology, Advocacy Radiation Oncology Case Rate Program Curative radiation courses should cost $20,000 to $30,000 and palliative courses should cost $10,000 to $15,000. These costs are consistent with totals demonstrated in this analysis and similar to the inflation-adjusted Hanks et al figures. Preliminary findings suggest that radiation treatment constituted more than half of the total expenditures, with a notable $4 million increase in adjusted cost compared to the Medicare rates, indicating significant variation. Direct comparisons with Medicaid or commercial payer rates remain unexplored.

Future Directions

During the study period, 201 patients received 186 courses of radiation therapy in the community, while 1014 patients were treated in-house for a total of 833 courses. A forthcoming analysis will directly compare the cost of in-house care with that of communitybased treatment, specifically breaking down expenditure differences by diagnosis. Future research should investigate strategies to align reimbursement with quality metrics, including the potential role of tertiary accreditation in incentivizing high-value care. Additional work is also warranted to assess patient out-ofpocket expenses across care settings and to benchmark VA reimbursement against Medicare, Medicaid, and private insurance rates. In any case, with the increasing possibility of fewer fractions for treatments such as stereotactic radiotherapy or palliative care therapy, there is a clear financial incentive to treat as frequently as allowed despite equal clinical outcomes.

CONCLUSIONS

Veterans increasingly choose to receive care closer to home if the option is available. In the VA iron triangle, cost comes at the expense of access but quantifying this has proved elusive in the cost accounting model currently used at the VA.1 The inclusion of all charges loosely associated with SEOCs significantly impairs the ability to conduct meaningful cost analyses. The current VA methodology not only introduces substantial noise into the data but also leads to a marked underestimation of the true cost of care delivered in community settings. Such misrepresentation risks driving policy decisions that could inappropriately reduce or eliminate in-house radiation oncology services. Categorizing costs effectively in the VA could assist in making managerial and administrative decisions and would prevent damaging service lines based on misleading or incorrect data. A system which differentiates between patients who have received any treatment codes vs those who have not would increase accuracy.

References
  1. Kissick W. Medicine’s Dilemmas: Infinite Needs Versus Finite Resources. 1st ed. Yale University Press; 1994.
  2. Albanese AP, Bope ET, Sanders KM, Bowman M. The VA MISSION Act of 2018: a potential game changer for rural GME expansion and veteran health care. J Rural Health. 2020;36(1):133-136. doi:10.1111/jrh.12360
  3. Office of Management and Budget (US). Budget of the United States Government, Fiscal Year 2025. Washington, DC: US Government Publishing Office; 2024. Available from: US Department of Veterans Affairs FY 2025 Budget Submission: Budget in Brief.
  4. US Department of Veterans Affairs. Veteran care claims. Accessed April 3, 2025. https://www.va.gov/COMMUNITYCARE/revenue-ops/Veteran-Care-Claims.asp
  5. US Centers for Medicare and Medicaid Services. Accessed April 3, 2025. Procedure price lookup https://www.medicare.gov/procedure-price-lookup
  6. US Department of Veterans Affairs. WellHive -Enterprise. Accessed April 3, 2025. https://department.va.gov/privacy/wp-content/uploads/sites/5/2023/05/FY23WellHiveEnterprisePIA.pdf
  7. US Centers for Medicare and Medicaid Services. RVU21a physician fee schedule, January 2021 release. Accessed April 3, 2025. https://www.cms.gov/medicaremedicare-fee-service-paymentphysicianfeeschedpfs-relative-value-files/rvu21a
  8. US Centers for Medicare and Medicaid Services. RVU22a physician fee schedule, January 2022 release. Accessed April 3, 2025. https://www.cms.gov/medicaremedicare-fee-service-paymentphysicianfeeschedpfs-relative-value-files/rvu22a
  9. US Centers for Medicare and Medicaid Services. RVU23a physician fee schedule, January 2023 release. Accessed April 3, 2025. https://www.cms.gov/medicare/medicare-fee-service-payment/physicianfeesched/pfs-relative-value-files/rvu23a
  10. US Centers for Medicare and Medicaid Services. RVU23a Medicare Physician Fee Schedule rates effective January 1, 2024, through March 8, 2024. Accessed on April 3, 2025. https://www.cms.gov/medicare/payment/fee-schedules/physician/pfs-relative-value-files/rvu24a
  11. Kenamond MC, Mourad WF, Randall ME, Kaushal A. No oncology patient left behind: challenges and solutions in rural radiation oncology. Lancet Reg Health Am. 2022;13:100289. doi:10.1016/j.lana.2022.100289
  12. Mattocks KM, Kroll-Desrosiers A, Kinney R, Elwy AR, Cunningham KJ, Mengeling MA. Understanding VA’s use of and relationships with community care providers under the MISSION Act. Med Care. 2021;59(Suppl 3):S252-S258. doi:10.1097/MLR.0000000000001545
  13. Hanks GE, Dunlap K. A comparison of the cost of various treatment methods for early cancer of the prostate. Int J Radiat Oncol Biol Phys. 1986;12(10):1879-1881. doi:10.1016/0360-3016(86)90334-2
  14. American Society of Radiation Oncology. Radiation oncology case rate program (ROCR). Accessed April 3, 2025. https://www.astro.org/advocacy/key-issues-8f3e5a3b76643265ee93287d79c4fc40/rocr
References
  1. Kissick W. Medicine’s Dilemmas: Infinite Needs Versus Finite Resources. 1st ed. Yale University Press; 1994.
  2. Albanese AP, Bope ET, Sanders KM, Bowman M. The VA MISSION Act of 2018: a potential game changer for rural GME expansion and veteran health care. J Rural Health. 2020;36(1):133-136. doi:10.1111/jrh.12360
  3. Office of Management and Budget (US). Budget of the United States Government, Fiscal Year 2025. Washington, DC: US Government Publishing Office; 2024. Available from: US Department of Veterans Affairs FY 2025 Budget Submission: Budget in Brief.
  4. US Department of Veterans Affairs. Veteran care claims. Accessed April 3, 2025. https://www.va.gov/COMMUNITYCARE/revenue-ops/Veteran-Care-Claims.asp
  5. US Centers for Medicare and Medicaid Services. Accessed April 3, 2025. Procedure price lookup https://www.medicare.gov/procedure-price-lookup
  6. US Department of Veterans Affairs. WellHive -Enterprise. Accessed April 3, 2025. https://department.va.gov/privacy/wp-content/uploads/sites/5/2023/05/FY23WellHiveEnterprisePIA.pdf
  7. US Centers for Medicare and Medicaid Services. RVU21a physician fee schedule, January 2021 release. Accessed April 3, 2025. https://www.cms.gov/medicaremedicare-fee-service-paymentphysicianfeeschedpfs-relative-value-files/rvu21a
  8. US Centers for Medicare and Medicaid Services. RVU22a physician fee schedule, January 2022 release. Accessed April 3, 2025. https://www.cms.gov/medicaremedicare-fee-service-paymentphysicianfeeschedpfs-relative-value-files/rvu22a
  9. US Centers for Medicare and Medicaid Services. RVU23a physician fee schedule, January 2023 release. Accessed April 3, 2025. https://www.cms.gov/medicare/medicare-fee-service-payment/physicianfeesched/pfs-relative-value-files/rvu23a
  10. US Centers for Medicare and Medicaid Services. RVU23a Medicare Physician Fee Schedule rates effective January 1, 2024, through March 8, 2024. Accessed on April 3, 2025. https://www.cms.gov/medicare/payment/fee-schedules/physician/pfs-relative-value-files/rvu24a
  11. Kenamond MC, Mourad WF, Randall ME, Kaushal A. No oncology patient left behind: challenges and solutions in rural radiation oncology. Lancet Reg Health Am. 2022;13:100289. doi:10.1016/j.lana.2022.100289
  12. Mattocks KM, Kroll-Desrosiers A, Kinney R, Elwy AR, Cunningham KJ, Mengeling MA. Understanding VA’s use of and relationships with community care providers under the MISSION Act. Med Care. 2021;59(Suppl 3):S252-S258. doi:10.1097/MLR.0000000000001545
  13. Hanks GE, Dunlap K. A comparison of the cost of various treatment methods for early cancer of the prostate. Int J Radiat Oncol Biol Phys. 1986;12(10):1879-1881. doi:10.1016/0360-3016(86)90334-2
  14. American Society of Radiation Oncology. Radiation oncology case rate program (ROCR). Accessed April 3, 2025. https://www.astro.org/advocacy/key-issues-8f3e5a3b76643265ee93287d79c4fc40/rocr
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Mapping Pathology Work Associated With Precision Oncology Testing

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Mapping Pathology Work Associated With Precision Oncology Testing

Comprehensive genomic profiling (CGP) is becoming progressively common and appropriate as the array of molecular targets expands. However, most hospital laboratories in the United States do not perform CGP assays in-house; instead, these tests are sent to reference laboratories. As evidenced by Inal et al, only a minority of guideline-indicated molecular testing is performed.1

The workload associated with referral testing is a barrier to increased use of such tests; streamlined processes in pathology might increase molecular test use. At 6 high-complexity US Department of Veterans Affairs (VA) medical centers (VAMCs) (Manhattan, Los Angeles, San Diego, Denver, Kansas City, and Salisbury, Maryland) ranging from 150 to 750 beds, a consult process for anatomic pathology molecular testing has increased test utilization, appropriateness of orders, standardization of reporting, and efficiency of care. This report comprehensively describes and maps the anatomic pathology molecular testing consult process at a VAMC. We present areas of inefficiency and a target state process map that incorporates best practices.

MOLECULAR TESTING CONSULT PROCESS

At the Kansas City VAMC (KCVAMC), a consult process for anatomic pathology molecular testing was introduced in 2021. Prior to this, requesting anatomic pathology molecular testing was not standardized. A variety of opportunities and methods were used for requests (eg, phone, page, Teams message, email, Computerized Patient Record System alert; or in-person during tumor board, an office meeting, or in passing). Requests were not documented in a standardized way, resulting in duplicate requests. Testing status and updates were documented outside the medical record, so requests for status updates (via various opportunities and methods) were common and redundant. Data from the year preceding consult implementation and the year following consult implementation have demonstrated increased test utilization, appropriateness of orders, standardization of reporting, and efficiency of care.

Consult Request

The precision oncology testing process starts with a health care practitioner (HCP) request on behalf of any physician or advanced practice registered nurse. It can be placed by any health care employee and directed to a designated employee in the pathology department. The request is ultimately reviewed by a pathologist (Figure 1). At KCVAMC, this request comes in the form of a consult in the electronic health record (EHR) from the ordering HCP to a pathologist. The KCVAMC pathology consult form was previously published with a discussion of the rationale for this process as opposed to a laboratory order process.2 This consult form ensures ordering HCPs supply all necessary information for the pathologist to approve the request and order the test without needing to, in most cases, contact the ordering HCP for clarification or additional information. The form asks the ordering HCP to specify which test is being requested and why. Within the Veterans Health Administration (VHA) there are local and national contracts with many laboratories with hundreds of precision oncology tests to choose from. Consulting with a pathologist is necessary to determine which test is most appropriate.

0525FED-AVAHO_PATH_F1

The precision oncology consult form cannot be submitted without completing all required fields. It also contains indications for the test the ordering HCP selects to minimize unintentionally inappropriate orders. The form asks which tissue the requestor expects the test to be performed on. The requestor must provide contact information for the originating institution when the tissue was collected outside the VHA. The consult form also asks whether another anatomic site is accessible and could be biopsied without unacceptable risk or impracticality, should all previously collected tissue be insufficient. For CGP requests, this allows the pathologist to determine the appropriateness of liquid biopsy without having to reach out to the ordering HCP or wait for the question to be addressed at a tumor board. When a companion diagnostic is available for a test, the ordering HCP is asked which drug will be used so that the most appropriate assay is chosen.

Consult Review

Pathology service involvement begins with pathologist review of the consult form to ensure that the correct test is indicated. Depending on the resources and preferences at a site, consults can be directed to and reviewed by the pathologist associated with the corresponding pathology specimen or to a single pathologist or group of pathologists charged with attending to consults.

The patient’s EHR is reviewed to verify that the test has not already been performed and to determine which tissue to review. Previous surgical pathology reports are examined to assess whether sufficient tissue is available for testing, which may be determined without the need for direct slide examination. Pathologists often use wording such as “rare cells” or in some cases specify that there are not enough lesional cells for ancillary testing. In biopsy reports, the percentage of tissue occupied by lesional cells or the greatest linear length of tumor cells is often documented. As for quality, pathologists may note that a specimen is largely necrotic, and gross descriptions will indicate if a specimen was compromised for molecular analysis by exposure to fixatives such as Bouin’s solution, B-5, or decalcifying agents that contain strong acids.

Tissue Retrieval

If, after such evaluation, the test is indicated and there is tissue that could be sufficient for testing, retrieval of the tissue is pursued. For in-house cases, the pathologist reviews the corresponding surgical pathology report to determine which blocks and slides to pull from the archives. In the cancer checklist, some pathologists specify the best block for subsequent ancillary studies. From the final diagnosis and gross description, the pathologist can determine which blocks are most likely to contain lesional tissue. These slides are retrieved from the archives.

For cases collected at an outside institution (other VHA facility or non-VHA facility/institution), the outside institution must be contacted to retrieve the needed slides and blocks. The phone numbers, fax numbers, email addresses, and mailing addresses for outside institutions are housed in an electronic file and are specific to the point of contact for such requests. Maintaining a record of contacts increases efficiency of the overall process; gathering contact information and successfully requesting tissue often involves multiple automated answering systems, misdirected calls, and failed attempts.

Tissue Review

After retrieving in-house tissue, the pathologist can proceed directly to slide review. For outside cases, the case must first be accessioned so that after review of the slides the pathologist can issue a report to confirm the outside diagnosis. In reviewing the slides, the pathologist looks to see that the diagnosis is correct, that there is a sufficient number of lesional cells in a section, that the lesional cells are of a sufficient concentration in a section, or subsection of the section that could be dissected, and that the cells are viable. Depending on the requested assay and the familiarity of the pathologist with that assay, the pathologist may need to look up the technical requirements of the assay and capabilities of the testing company. Assays vary in sensitivity and require differing amounts and concentrations of tumor. Some companies will dissect tissue, others will not.

If there is sufficient tissue in the material reviewed, the corresponding blocks are retrieved from in-house archives or requests are placed for outside blocks or unstained slides. If there was not enough tissue for testing, the same process is repeated to retrieve and evaluate any other specimens the patient may have. If there are no other specimens to review, this is simply communicated to the ordering HCP via the consult. If the patient is a candidate for liquid biopsy—ie, current specimens are of insufficient quality and/or quantity and a new tissue sample cannot be obtained due to unacceptable risk or impracticality—the order is placed at this time.

Tissue Transport and Testing

Unstained slides need to be cut unless blocks are sent. Slides, blocks, reports, and requisition forms are packaged for transport. An accession number is created for the precision oncology molecular laboratory test in the clinical laboratory section of the EHR system. The clinical laboratory accession number provides a way of tracking sendout testing status. The case is accessioned just prior to placement in the mail so that when an accession number appears in the EHR, the ordering HCP knows the case has been sent out. When results are received, the clinical laboratory accession is completed and a comment is added to indicate where in the EHR to find the report or, when applicable, notes that testing failed.

RESULT REPORTING

When a result becomes available, the report file is downloaded from the vendor portal. This full report is securely transmitted to the ordering HCP. The file is then scanned into the EHR. Additionally, salient findings from the report are abstracted by the pathologist for inclusion as a supplement to the anatomic pathology case. This step ensures that this information travels with the anatomic pathology report if the patient’s care is transferred elsewhere. Templates are used to ensure essential data is captured based on the type of test. The template reminds the pathologist to comment on things such as variants that may represent clonal hematopoiesis, variants that may be germline, and variants that qualify a patient for germline testing. Even with the template, the pathologist must spend significant time reviewing the chart for things such as personal cancer history, other medical history, other masses on imaging, family history, previous surgical pathology reports, and previous molecular testing.

If results are suboptimal, recommendations for repeat testing are made based on the consult response to the question of repeat biopsy feasibility and review of previous pathology reports. The final consult report is added as a consult note, the consult is completed, and the original vendor report file is associated with the consult note in the EHR.

Ancillary Testing Technician

Due to chronic KCVAMC understaffing in the clerical office, gross room, and histology, most of the consult tasks are performed by a pathologist. In an ideal scenario, the pathology staff would divide its time between a pathologist and another dedicated laboratory position, such as an ancillary testing technician (ATT). The ATT can assume responsibilities that do not require the expertise of a pathologist (Figure 2). In such a process, the only steps that would require a pathologist would be review of requests and slides and completion of the interpretive report. All other steps could be accomplished by someone who lacks certifications, laboratory experience, or postsecondary education.

0525FED-AVAHO_PATH_F2

The ATT can receive the requests and retrieve slides and blocks. After slides have been reviewed by a pathologist, the pathologist can inform the ATT which slides or blocks testing will be performed on, provide any additional necessary information for completing the order, and answer any questions. For send-out tests, this allows the ATT to independently complete online portal forms and all other physical requirements prior to delivery of the slides and blocks to specimen processors in the laboratory.

ATTs can keep the ordering HCPs informed of status and be identified as the point of contact for all status inquiries. ATTs can receive results and get outside reports scanned into the EHR. Finally, ATTs can use pathologistdesigned templates to transpose information from outside reports such that a provisional report is prepared and a pathologist does not spend time duplicating information from the outside report. The pathologist can then complete the report with information requiring medical judgment that enhances care.

Optimal Pathologist Involvement

Only 3 steps in the process (request review, tissue review, and completion of an interpretive report) require a pathologist, which are necessary for optimal care and to address barriers to precision oncology.3 While the laboratory may consume only 5% of a health system budget, optimal laboratory use could prevent as much as 30% of avoidable costs.4 These estimates are widely recognized and addressed by campaigns such as Choosing Wisely, as well as programming of alerts and hard stops in EHR systems to reduce duplicate or otherwise inappropriate orders. The tests associated with precision oncology, such as CGP assays, require more nuanced consideration that is best achieved through pathology consultation. In vetting requests for such tests, the pathologist needs information that ordering HCPs do not routinely provide when ordering other tests. A consult asking for such information allows an ordering HCP to efficiently convey this information without having to call the laboratory to circumvent a hard stop.

Regardless of whether a formal electronic consult is used, pathologists must be involved in the review of requests. Creation of an original in-house report also provides an opportunity for pathologists to offer their expertise and maximize the contribution of pathology to patient care. If outside (other VHA facility or non-VHA facility/institution) reports are simply scanned into the EHR without review and issuance of an interpretive report by an in-house pathologist, then an interpretation by a pathologist with access to the patient’s complete chart is never provided. Testing companies are not provided with every patient diagnosis, so in patients with multiple neoplastic conditions, a report may seem to indicate that a detected mutation is from 1 tumor when it is actually from another. Even when all known diagnoses are considered, a variant may be detected that the medical record could reveal to indicate a new diagnosis.

Variation in reporting between companies necessitates pathologist review to standardize care. Some companies indicate which variants may represent clonal hematopoiesis, while others will simply list the pathogenic variants. An oncologist who sees a high volume of hematolymphoid neoplasia may recognize which variants may represent clonal hematopoiesis, but others may not. Reports from the same company may vary, and their interpretation often requires a pathologist's expertise. For example, even if a sample meets the technical requirements for analysis, the report may indicate that the quality or quantity of DNA has reduced the sensitivity for genomic alteration detection. A pathologist would know how to use this information in deciding how to proceed. In a situation where quantity was the issue, the pathologist may know there is additional tissue that could be sent for testing. If quality is the issue, the pathologist may know that additional blocks from the same case likely have the same quality of DNA and would also be unsuitable for testing.

Pathologist input is necessary for precision oncology testing. Some tasks that would ideally be completed by a molecular pathologist (eg, creation of reports to indicate which variants may represent clonal hematopoiesis of indeterminate potential) may be sufficiently completed by a pathologist without fellowship training in molecular pathology.

There are about 15,000 full-time pathologists in the US.4 In the 20 years since molecular genetic pathology was formally recognized as a specialty, there have been < 500 pathologists who have pursued fellowship training in this specialty.5 With the inundation of molecular variants uncovered by routine next-generation sequencing (NGS), there are too few fellowship-trained molecular pathologists to provide all such aforementioned input; it is incumbent on surgical pathologists in general to take on such responsibilities.

Consult Implementation Data

These results support the feasibility and effectiveness of the consult process. Prior to consult implementation, many requests were not compliant with VHA National Precision Oncology Program (NPOP) testing guidelines. Since enactment of the consult, > 90% of requests have been in compliance. In the year preceding the consult (January 2020 to December 2021), 55 of 211 (26.1%) metastatic lung and prostate cancers samples eligible for NGS were tested and 126 (59.7%) NGS vendor reports were scanned into the EHR. The mean time from metastasis to NGS result was 151 days. In the year following enactment of the consult (January 2021 to December 2022), 168 of 224 (75.0%) of metastatic lung and prostate cancers eligible for NGS were tested and all 224 NGS vendor reports were scanned into the EHR. The mean time from metastasis to NGS result was 83 days. These data indicate that the practices recommended increase test use, appropriateness of orders, standardization of reporting, and efficiency of care.

CONCLUSIONS

Processing precision oncology testing requires substantial work for pathology departments. Laboratory workforce shortages and ever-expanding indications necessitate additional study of pathology processes to manage increasing workload and maintain the highest quality of cancer care through maximal efficiency and the development of appropriate staffing models. The use of a consult for anatomic pathology molecular testing is one process that can increase test use, appropriateness of orders, standardization of reporting, and efficiency of care. This report provides a comprehensive description and mapping of the process, highlights best practices, identifies inefficiencies, and provides a description and mapping of a target state.

References
  1. Inal C, Yilmaz E, Cheng H, et al. Effect of reflex testing by pathologists on molecular testing rates in lung cancer patients: experience from a community-based academic center. J Clin Oncol. 2014;32(15 suppl):8098. doi:10.1200/jco.2014.32.15_suppl.8098
  2. Mettman D, Goodman M, Modzelewski J, et al. Streamlining institutional pathway processes: the development and implementation of a pathology molecular consult to facilitate convenient and efficient ordering, fulfillment, and reporting for tissue molecular tests. J Clin Pathw.Ersek JL, Black LJ, Thompson MA, Kim ES. Implementing precision medicine programs and clinical trials in the community-based oncology practice: barriers and best practices. Am Soc Clin Oncol Educ Book. 2018;38:188- 196. doi:10.1200/EDBK_200633 2022;8(1):28-33.
  3. Ersek JL, Black LJ, Thompson MA, Kim ES. Implementing precision medicine programs and clinical trials in the community-based oncology practice: barriers and best practices. Am Soc Clin Oncol Educ Book. 2018;38:188- 196. doi:10.1200/EDBK_200633
  4. Robboy SJ, Gupta S, Crawford JM, et al. The pathologist workforce in the United States: II. An interactive modeling tool for analyzing future qualitative and quantitative staffing demands for services. Arch Pathol Lab Med. 2015;139(11):1413-1430. doi:10.5858/arpa.2014-0559-OA doi:10.25270/jcp.2022.02.1
  5. Robboy SJ, Gross D, Park JY, et al. Reevaluation of the US pathologist workforce size. JAMA Netw Open. 2020;3(7): e2010648. doi:10.1001/jamanetworkopen.2020.10648
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Daniel J. Mettman, MDa; Linlin Gao, MBBS, PhDa; Karsten Evans, MDa; Amy B. Frey, DO, MSb; Maren T. Scheuner, MD, MPHc; J. Stacey Klutts, MD, PhDd,e,f; M. Carmen Frias-Kletecka, MDg; Jessica Wang-Rodriguez, MDf,h; Daniel J. Becker, MDi; Sharad C. Mathur, MBBSa; Michael M. Goodman, MDj

Author affiliations
aKansas City Veterans Affairs Medical Center, Missouri
bRocky Mountain Regional Veterans Affairs Medical Center, Aurora, Colorado
cSan Francisco Veterans Affairs Health Care System, California
dUniversity of Iowa Carver College of Medicine, Iowa City
eIowa City Veterans Affairs Health Care System, Iowa
fNational Veterans Affairs Pathology and Laboratory Medicine Program Office, Bethesda, Maryland
gWest Los Angeles Veterans Affairs Healthcare System, California
hVeterans Affairs San Diego Healthcare System, California
iVeterans Affairs New York Harbor Healthcare System, Manhattan
jW. G. (Bill) Hefner Salisbury Department of Veterans Affairs Medical Center, Salisbury, North Carolina

Author disclosures The authors report no actual or potential conflicts of interest with regard to this article.

Correspondence: Daniel Mettman ([email protected])

Fed Pract. 2025;42(suppl 2). Published online May 8. doi:10.12788/fp.0583

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Daniel J. Mettman, MDa; Linlin Gao, MBBS, PhDa; Karsten Evans, MDa; Amy B. Frey, DO, MSb; Maren T. Scheuner, MD, MPHc; J. Stacey Klutts, MD, PhDd,e,f; M. Carmen Frias-Kletecka, MDg; Jessica Wang-Rodriguez, MDf,h; Daniel J. Becker, MDi; Sharad C. Mathur, MBBSa; Michael M. Goodman, MDj

Author affiliations
aKansas City Veterans Affairs Medical Center, Missouri
bRocky Mountain Regional Veterans Affairs Medical Center, Aurora, Colorado
cSan Francisco Veterans Affairs Health Care System, California
dUniversity of Iowa Carver College of Medicine, Iowa City
eIowa City Veterans Affairs Health Care System, Iowa
fNational Veterans Affairs Pathology and Laboratory Medicine Program Office, Bethesda, Maryland
gWest Los Angeles Veterans Affairs Healthcare System, California
hVeterans Affairs San Diego Healthcare System, California
iVeterans Affairs New York Harbor Healthcare System, Manhattan
jW. G. (Bill) Hefner Salisbury Department of Veterans Affairs Medical Center, Salisbury, North Carolina

Author disclosures The authors report no actual or potential conflicts of interest with regard to this article.

Correspondence: Daniel Mettman ([email protected])

Fed Pract. 2025;42(suppl 2). Published online May 8. doi:10.12788/fp.0583

Author and Disclosure Information

Daniel J. Mettman, MDa; Linlin Gao, MBBS, PhDa; Karsten Evans, MDa; Amy B. Frey, DO, MSb; Maren T. Scheuner, MD, MPHc; J. Stacey Klutts, MD, PhDd,e,f; M. Carmen Frias-Kletecka, MDg; Jessica Wang-Rodriguez, MDf,h; Daniel J. Becker, MDi; Sharad C. Mathur, MBBSa; Michael M. Goodman, MDj

Author affiliations
aKansas City Veterans Affairs Medical Center, Missouri
bRocky Mountain Regional Veterans Affairs Medical Center, Aurora, Colorado
cSan Francisco Veterans Affairs Health Care System, California
dUniversity of Iowa Carver College of Medicine, Iowa City
eIowa City Veterans Affairs Health Care System, Iowa
fNational Veterans Affairs Pathology and Laboratory Medicine Program Office, Bethesda, Maryland
gWest Los Angeles Veterans Affairs Healthcare System, California
hVeterans Affairs San Diego Healthcare System, California
iVeterans Affairs New York Harbor Healthcare System, Manhattan
jW. G. (Bill) Hefner Salisbury Department of Veterans Affairs Medical Center, Salisbury, North Carolina

Author disclosures The authors report no actual or potential conflicts of interest with regard to this article.

Correspondence: Daniel Mettman ([email protected])

Fed Pract. 2025;42(suppl 2). Published online May 8. doi:10.12788/fp.0583

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Article PDF

Comprehensive genomic profiling (CGP) is becoming progressively common and appropriate as the array of molecular targets expands. However, most hospital laboratories in the United States do not perform CGP assays in-house; instead, these tests are sent to reference laboratories. As evidenced by Inal et al, only a minority of guideline-indicated molecular testing is performed.1

The workload associated with referral testing is a barrier to increased use of such tests; streamlined processes in pathology might increase molecular test use. At 6 high-complexity US Department of Veterans Affairs (VA) medical centers (VAMCs) (Manhattan, Los Angeles, San Diego, Denver, Kansas City, and Salisbury, Maryland) ranging from 150 to 750 beds, a consult process for anatomic pathology molecular testing has increased test utilization, appropriateness of orders, standardization of reporting, and efficiency of care. This report comprehensively describes and maps the anatomic pathology molecular testing consult process at a VAMC. We present areas of inefficiency and a target state process map that incorporates best practices.

MOLECULAR TESTING CONSULT PROCESS

At the Kansas City VAMC (KCVAMC), a consult process for anatomic pathology molecular testing was introduced in 2021. Prior to this, requesting anatomic pathology molecular testing was not standardized. A variety of opportunities and methods were used for requests (eg, phone, page, Teams message, email, Computerized Patient Record System alert; or in-person during tumor board, an office meeting, or in passing). Requests were not documented in a standardized way, resulting in duplicate requests. Testing status and updates were documented outside the medical record, so requests for status updates (via various opportunities and methods) were common and redundant. Data from the year preceding consult implementation and the year following consult implementation have demonstrated increased test utilization, appropriateness of orders, standardization of reporting, and efficiency of care.

Consult Request

The precision oncology testing process starts with a health care practitioner (HCP) request on behalf of any physician or advanced practice registered nurse. It can be placed by any health care employee and directed to a designated employee in the pathology department. The request is ultimately reviewed by a pathologist (Figure 1). At KCVAMC, this request comes in the form of a consult in the electronic health record (EHR) from the ordering HCP to a pathologist. The KCVAMC pathology consult form was previously published with a discussion of the rationale for this process as opposed to a laboratory order process.2 This consult form ensures ordering HCPs supply all necessary information for the pathologist to approve the request and order the test without needing to, in most cases, contact the ordering HCP for clarification or additional information. The form asks the ordering HCP to specify which test is being requested and why. Within the Veterans Health Administration (VHA) there are local and national contracts with many laboratories with hundreds of precision oncology tests to choose from. Consulting with a pathologist is necessary to determine which test is most appropriate.

0525FED-AVAHO_PATH_F1

The precision oncology consult form cannot be submitted without completing all required fields. It also contains indications for the test the ordering HCP selects to minimize unintentionally inappropriate orders. The form asks which tissue the requestor expects the test to be performed on. The requestor must provide contact information for the originating institution when the tissue was collected outside the VHA. The consult form also asks whether another anatomic site is accessible and could be biopsied without unacceptable risk or impracticality, should all previously collected tissue be insufficient. For CGP requests, this allows the pathologist to determine the appropriateness of liquid biopsy without having to reach out to the ordering HCP or wait for the question to be addressed at a tumor board. When a companion diagnostic is available for a test, the ordering HCP is asked which drug will be used so that the most appropriate assay is chosen.

Consult Review

Pathology service involvement begins with pathologist review of the consult form to ensure that the correct test is indicated. Depending on the resources and preferences at a site, consults can be directed to and reviewed by the pathologist associated with the corresponding pathology specimen or to a single pathologist or group of pathologists charged with attending to consults.

The patient’s EHR is reviewed to verify that the test has not already been performed and to determine which tissue to review. Previous surgical pathology reports are examined to assess whether sufficient tissue is available for testing, which may be determined without the need for direct slide examination. Pathologists often use wording such as “rare cells” or in some cases specify that there are not enough lesional cells for ancillary testing. In biopsy reports, the percentage of tissue occupied by lesional cells or the greatest linear length of tumor cells is often documented. As for quality, pathologists may note that a specimen is largely necrotic, and gross descriptions will indicate if a specimen was compromised for molecular analysis by exposure to fixatives such as Bouin’s solution, B-5, or decalcifying agents that contain strong acids.

Tissue Retrieval

If, after such evaluation, the test is indicated and there is tissue that could be sufficient for testing, retrieval of the tissue is pursued. For in-house cases, the pathologist reviews the corresponding surgical pathology report to determine which blocks and slides to pull from the archives. In the cancer checklist, some pathologists specify the best block for subsequent ancillary studies. From the final diagnosis and gross description, the pathologist can determine which blocks are most likely to contain lesional tissue. These slides are retrieved from the archives.

For cases collected at an outside institution (other VHA facility or non-VHA facility/institution), the outside institution must be contacted to retrieve the needed slides and blocks. The phone numbers, fax numbers, email addresses, and mailing addresses for outside institutions are housed in an electronic file and are specific to the point of contact for such requests. Maintaining a record of contacts increases efficiency of the overall process; gathering contact information and successfully requesting tissue often involves multiple automated answering systems, misdirected calls, and failed attempts.

Tissue Review

After retrieving in-house tissue, the pathologist can proceed directly to slide review. For outside cases, the case must first be accessioned so that after review of the slides the pathologist can issue a report to confirm the outside diagnosis. In reviewing the slides, the pathologist looks to see that the diagnosis is correct, that there is a sufficient number of lesional cells in a section, that the lesional cells are of a sufficient concentration in a section, or subsection of the section that could be dissected, and that the cells are viable. Depending on the requested assay and the familiarity of the pathologist with that assay, the pathologist may need to look up the technical requirements of the assay and capabilities of the testing company. Assays vary in sensitivity and require differing amounts and concentrations of tumor. Some companies will dissect tissue, others will not.

If there is sufficient tissue in the material reviewed, the corresponding blocks are retrieved from in-house archives or requests are placed for outside blocks or unstained slides. If there was not enough tissue for testing, the same process is repeated to retrieve and evaluate any other specimens the patient may have. If there are no other specimens to review, this is simply communicated to the ordering HCP via the consult. If the patient is a candidate for liquid biopsy—ie, current specimens are of insufficient quality and/or quantity and a new tissue sample cannot be obtained due to unacceptable risk or impracticality—the order is placed at this time.

Tissue Transport and Testing

Unstained slides need to be cut unless blocks are sent. Slides, blocks, reports, and requisition forms are packaged for transport. An accession number is created for the precision oncology molecular laboratory test in the clinical laboratory section of the EHR system. The clinical laboratory accession number provides a way of tracking sendout testing status. The case is accessioned just prior to placement in the mail so that when an accession number appears in the EHR, the ordering HCP knows the case has been sent out. When results are received, the clinical laboratory accession is completed and a comment is added to indicate where in the EHR to find the report or, when applicable, notes that testing failed.

RESULT REPORTING

When a result becomes available, the report file is downloaded from the vendor portal. This full report is securely transmitted to the ordering HCP. The file is then scanned into the EHR. Additionally, salient findings from the report are abstracted by the pathologist for inclusion as a supplement to the anatomic pathology case. This step ensures that this information travels with the anatomic pathology report if the patient’s care is transferred elsewhere. Templates are used to ensure essential data is captured based on the type of test. The template reminds the pathologist to comment on things such as variants that may represent clonal hematopoiesis, variants that may be germline, and variants that qualify a patient for germline testing. Even with the template, the pathologist must spend significant time reviewing the chart for things such as personal cancer history, other medical history, other masses on imaging, family history, previous surgical pathology reports, and previous molecular testing.

If results are suboptimal, recommendations for repeat testing are made based on the consult response to the question of repeat biopsy feasibility and review of previous pathology reports. The final consult report is added as a consult note, the consult is completed, and the original vendor report file is associated with the consult note in the EHR.

Ancillary Testing Technician

Due to chronic KCVAMC understaffing in the clerical office, gross room, and histology, most of the consult tasks are performed by a pathologist. In an ideal scenario, the pathology staff would divide its time between a pathologist and another dedicated laboratory position, such as an ancillary testing technician (ATT). The ATT can assume responsibilities that do not require the expertise of a pathologist (Figure 2). In such a process, the only steps that would require a pathologist would be review of requests and slides and completion of the interpretive report. All other steps could be accomplished by someone who lacks certifications, laboratory experience, or postsecondary education.

0525FED-AVAHO_PATH_F2

The ATT can receive the requests and retrieve slides and blocks. After slides have been reviewed by a pathologist, the pathologist can inform the ATT which slides or blocks testing will be performed on, provide any additional necessary information for completing the order, and answer any questions. For send-out tests, this allows the ATT to independently complete online portal forms and all other physical requirements prior to delivery of the slides and blocks to specimen processors in the laboratory.

ATTs can keep the ordering HCPs informed of status and be identified as the point of contact for all status inquiries. ATTs can receive results and get outside reports scanned into the EHR. Finally, ATTs can use pathologistdesigned templates to transpose information from outside reports such that a provisional report is prepared and a pathologist does not spend time duplicating information from the outside report. The pathologist can then complete the report with information requiring medical judgment that enhances care.

Optimal Pathologist Involvement

Only 3 steps in the process (request review, tissue review, and completion of an interpretive report) require a pathologist, which are necessary for optimal care and to address barriers to precision oncology.3 While the laboratory may consume only 5% of a health system budget, optimal laboratory use could prevent as much as 30% of avoidable costs.4 These estimates are widely recognized and addressed by campaigns such as Choosing Wisely, as well as programming of alerts and hard stops in EHR systems to reduce duplicate or otherwise inappropriate orders. The tests associated with precision oncology, such as CGP assays, require more nuanced consideration that is best achieved through pathology consultation. In vetting requests for such tests, the pathologist needs information that ordering HCPs do not routinely provide when ordering other tests. A consult asking for such information allows an ordering HCP to efficiently convey this information without having to call the laboratory to circumvent a hard stop.

Regardless of whether a formal electronic consult is used, pathologists must be involved in the review of requests. Creation of an original in-house report also provides an opportunity for pathologists to offer their expertise and maximize the contribution of pathology to patient care. If outside (other VHA facility or non-VHA facility/institution) reports are simply scanned into the EHR without review and issuance of an interpretive report by an in-house pathologist, then an interpretation by a pathologist with access to the patient’s complete chart is never provided. Testing companies are not provided with every patient diagnosis, so in patients with multiple neoplastic conditions, a report may seem to indicate that a detected mutation is from 1 tumor when it is actually from another. Even when all known diagnoses are considered, a variant may be detected that the medical record could reveal to indicate a new diagnosis.

Variation in reporting between companies necessitates pathologist review to standardize care. Some companies indicate which variants may represent clonal hematopoiesis, while others will simply list the pathogenic variants. An oncologist who sees a high volume of hematolymphoid neoplasia may recognize which variants may represent clonal hematopoiesis, but others may not. Reports from the same company may vary, and their interpretation often requires a pathologist's expertise. For example, even if a sample meets the technical requirements for analysis, the report may indicate that the quality or quantity of DNA has reduced the sensitivity for genomic alteration detection. A pathologist would know how to use this information in deciding how to proceed. In a situation where quantity was the issue, the pathologist may know there is additional tissue that could be sent for testing. If quality is the issue, the pathologist may know that additional blocks from the same case likely have the same quality of DNA and would also be unsuitable for testing.

Pathologist input is necessary for precision oncology testing. Some tasks that would ideally be completed by a molecular pathologist (eg, creation of reports to indicate which variants may represent clonal hematopoiesis of indeterminate potential) may be sufficiently completed by a pathologist without fellowship training in molecular pathology.

There are about 15,000 full-time pathologists in the US.4 In the 20 years since molecular genetic pathology was formally recognized as a specialty, there have been < 500 pathologists who have pursued fellowship training in this specialty.5 With the inundation of molecular variants uncovered by routine next-generation sequencing (NGS), there are too few fellowship-trained molecular pathologists to provide all such aforementioned input; it is incumbent on surgical pathologists in general to take on such responsibilities.

Consult Implementation Data

These results support the feasibility and effectiveness of the consult process. Prior to consult implementation, many requests were not compliant with VHA National Precision Oncology Program (NPOP) testing guidelines. Since enactment of the consult, > 90% of requests have been in compliance. In the year preceding the consult (January 2020 to December 2021), 55 of 211 (26.1%) metastatic lung and prostate cancers samples eligible for NGS were tested and 126 (59.7%) NGS vendor reports were scanned into the EHR. The mean time from metastasis to NGS result was 151 days. In the year following enactment of the consult (January 2021 to December 2022), 168 of 224 (75.0%) of metastatic lung and prostate cancers eligible for NGS were tested and all 224 NGS vendor reports were scanned into the EHR. The mean time from metastasis to NGS result was 83 days. These data indicate that the practices recommended increase test use, appropriateness of orders, standardization of reporting, and efficiency of care.

CONCLUSIONS

Processing precision oncology testing requires substantial work for pathology departments. Laboratory workforce shortages and ever-expanding indications necessitate additional study of pathology processes to manage increasing workload and maintain the highest quality of cancer care through maximal efficiency and the development of appropriate staffing models. The use of a consult for anatomic pathology molecular testing is one process that can increase test use, appropriateness of orders, standardization of reporting, and efficiency of care. This report provides a comprehensive description and mapping of the process, highlights best practices, identifies inefficiencies, and provides a description and mapping of a target state.

Comprehensive genomic profiling (CGP) is becoming progressively common and appropriate as the array of molecular targets expands. However, most hospital laboratories in the United States do not perform CGP assays in-house; instead, these tests are sent to reference laboratories. As evidenced by Inal et al, only a minority of guideline-indicated molecular testing is performed.1

The workload associated with referral testing is a barrier to increased use of such tests; streamlined processes in pathology might increase molecular test use. At 6 high-complexity US Department of Veterans Affairs (VA) medical centers (VAMCs) (Manhattan, Los Angeles, San Diego, Denver, Kansas City, and Salisbury, Maryland) ranging from 150 to 750 beds, a consult process for anatomic pathology molecular testing has increased test utilization, appropriateness of orders, standardization of reporting, and efficiency of care. This report comprehensively describes and maps the anatomic pathology molecular testing consult process at a VAMC. We present areas of inefficiency and a target state process map that incorporates best practices.

MOLECULAR TESTING CONSULT PROCESS

At the Kansas City VAMC (KCVAMC), a consult process for anatomic pathology molecular testing was introduced in 2021. Prior to this, requesting anatomic pathology molecular testing was not standardized. A variety of opportunities and methods were used for requests (eg, phone, page, Teams message, email, Computerized Patient Record System alert; or in-person during tumor board, an office meeting, or in passing). Requests were not documented in a standardized way, resulting in duplicate requests. Testing status and updates were documented outside the medical record, so requests for status updates (via various opportunities and methods) were common and redundant. Data from the year preceding consult implementation and the year following consult implementation have demonstrated increased test utilization, appropriateness of orders, standardization of reporting, and efficiency of care.

Consult Request

The precision oncology testing process starts with a health care practitioner (HCP) request on behalf of any physician or advanced practice registered nurse. It can be placed by any health care employee and directed to a designated employee in the pathology department. The request is ultimately reviewed by a pathologist (Figure 1). At KCVAMC, this request comes in the form of a consult in the electronic health record (EHR) from the ordering HCP to a pathologist. The KCVAMC pathology consult form was previously published with a discussion of the rationale for this process as opposed to a laboratory order process.2 This consult form ensures ordering HCPs supply all necessary information for the pathologist to approve the request and order the test without needing to, in most cases, contact the ordering HCP for clarification or additional information. The form asks the ordering HCP to specify which test is being requested and why. Within the Veterans Health Administration (VHA) there are local and national contracts with many laboratories with hundreds of precision oncology tests to choose from. Consulting with a pathologist is necessary to determine which test is most appropriate.

0525FED-AVAHO_PATH_F1

The precision oncology consult form cannot be submitted without completing all required fields. It also contains indications for the test the ordering HCP selects to minimize unintentionally inappropriate orders. The form asks which tissue the requestor expects the test to be performed on. The requestor must provide contact information for the originating institution when the tissue was collected outside the VHA. The consult form also asks whether another anatomic site is accessible and could be biopsied without unacceptable risk or impracticality, should all previously collected tissue be insufficient. For CGP requests, this allows the pathologist to determine the appropriateness of liquid biopsy without having to reach out to the ordering HCP or wait for the question to be addressed at a tumor board. When a companion diagnostic is available for a test, the ordering HCP is asked which drug will be used so that the most appropriate assay is chosen.

Consult Review

Pathology service involvement begins with pathologist review of the consult form to ensure that the correct test is indicated. Depending on the resources and preferences at a site, consults can be directed to and reviewed by the pathologist associated with the corresponding pathology specimen or to a single pathologist or group of pathologists charged with attending to consults.

The patient’s EHR is reviewed to verify that the test has not already been performed and to determine which tissue to review. Previous surgical pathology reports are examined to assess whether sufficient tissue is available for testing, which may be determined without the need for direct slide examination. Pathologists often use wording such as “rare cells” or in some cases specify that there are not enough lesional cells for ancillary testing. In biopsy reports, the percentage of tissue occupied by lesional cells or the greatest linear length of tumor cells is often documented. As for quality, pathologists may note that a specimen is largely necrotic, and gross descriptions will indicate if a specimen was compromised for molecular analysis by exposure to fixatives such as Bouin’s solution, B-5, or decalcifying agents that contain strong acids.

Tissue Retrieval

If, after such evaluation, the test is indicated and there is tissue that could be sufficient for testing, retrieval of the tissue is pursued. For in-house cases, the pathologist reviews the corresponding surgical pathology report to determine which blocks and slides to pull from the archives. In the cancer checklist, some pathologists specify the best block for subsequent ancillary studies. From the final diagnosis and gross description, the pathologist can determine which blocks are most likely to contain lesional tissue. These slides are retrieved from the archives.

For cases collected at an outside institution (other VHA facility or non-VHA facility/institution), the outside institution must be contacted to retrieve the needed slides and blocks. The phone numbers, fax numbers, email addresses, and mailing addresses for outside institutions are housed in an electronic file and are specific to the point of contact for such requests. Maintaining a record of contacts increases efficiency of the overall process; gathering contact information and successfully requesting tissue often involves multiple automated answering systems, misdirected calls, and failed attempts.

Tissue Review

After retrieving in-house tissue, the pathologist can proceed directly to slide review. For outside cases, the case must first be accessioned so that after review of the slides the pathologist can issue a report to confirm the outside diagnosis. In reviewing the slides, the pathologist looks to see that the diagnosis is correct, that there is a sufficient number of lesional cells in a section, that the lesional cells are of a sufficient concentration in a section, or subsection of the section that could be dissected, and that the cells are viable. Depending on the requested assay and the familiarity of the pathologist with that assay, the pathologist may need to look up the technical requirements of the assay and capabilities of the testing company. Assays vary in sensitivity and require differing amounts and concentrations of tumor. Some companies will dissect tissue, others will not.

If there is sufficient tissue in the material reviewed, the corresponding blocks are retrieved from in-house archives or requests are placed for outside blocks or unstained slides. If there was not enough tissue for testing, the same process is repeated to retrieve and evaluate any other specimens the patient may have. If there are no other specimens to review, this is simply communicated to the ordering HCP via the consult. If the patient is a candidate for liquid biopsy—ie, current specimens are of insufficient quality and/or quantity and a new tissue sample cannot be obtained due to unacceptable risk or impracticality—the order is placed at this time.

Tissue Transport and Testing

Unstained slides need to be cut unless blocks are sent. Slides, blocks, reports, and requisition forms are packaged for transport. An accession number is created for the precision oncology molecular laboratory test in the clinical laboratory section of the EHR system. The clinical laboratory accession number provides a way of tracking sendout testing status. The case is accessioned just prior to placement in the mail so that when an accession number appears in the EHR, the ordering HCP knows the case has been sent out. When results are received, the clinical laboratory accession is completed and a comment is added to indicate where in the EHR to find the report or, when applicable, notes that testing failed.

RESULT REPORTING

When a result becomes available, the report file is downloaded from the vendor portal. This full report is securely transmitted to the ordering HCP. The file is then scanned into the EHR. Additionally, salient findings from the report are abstracted by the pathologist for inclusion as a supplement to the anatomic pathology case. This step ensures that this information travels with the anatomic pathology report if the patient’s care is transferred elsewhere. Templates are used to ensure essential data is captured based on the type of test. The template reminds the pathologist to comment on things such as variants that may represent clonal hematopoiesis, variants that may be germline, and variants that qualify a patient for germline testing. Even with the template, the pathologist must spend significant time reviewing the chart for things such as personal cancer history, other medical history, other masses on imaging, family history, previous surgical pathology reports, and previous molecular testing.

If results are suboptimal, recommendations for repeat testing are made based on the consult response to the question of repeat biopsy feasibility and review of previous pathology reports. The final consult report is added as a consult note, the consult is completed, and the original vendor report file is associated with the consult note in the EHR.

Ancillary Testing Technician

Due to chronic KCVAMC understaffing in the clerical office, gross room, and histology, most of the consult tasks are performed by a pathologist. In an ideal scenario, the pathology staff would divide its time between a pathologist and another dedicated laboratory position, such as an ancillary testing technician (ATT). The ATT can assume responsibilities that do not require the expertise of a pathologist (Figure 2). In such a process, the only steps that would require a pathologist would be review of requests and slides and completion of the interpretive report. All other steps could be accomplished by someone who lacks certifications, laboratory experience, or postsecondary education.

0525FED-AVAHO_PATH_F2

The ATT can receive the requests and retrieve slides and blocks. After slides have been reviewed by a pathologist, the pathologist can inform the ATT which slides or blocks testing will be performed on, provide any additional necessary information for completing the order, and answer any questions. For send-out tests, this allows the ATT to independently complete online portal forms and all other physical requirements prior to delivery of the slides and blocks to specimen processors in the laboratory.

ATTs can keep the ordering HCPs informed of status and be identified as the point of contact for all status inquiries. ATTs can receive results and get outside reports scanned into the EHR. Finally, ATTs can use pathologistdesigned templates to transpose information from outside reports such that a provisional report is prepared and a pathologist does not spend time duplicating information from the outside report. The pathologist can then complete the report with information requiring medical judgment that enhances care.

Optimal Pathologist Involvement

Only 3 steps in the process (request review, tissue review, and completion of an interpretive report) require a pathologist, which are necessary for optimal care and to address barriers to precision oncology.3 While the laboratory may consume only 5% of a health system budget, optimal laboratory use could prevent as much as 30% of avoidable costs.4 These estimates are widely recognized and addressed by campaigns such as Choosing Wisely, as well as programming of alerts and hard stops in EHR systems to reduce duplicate or otherwise inappropriate orders. The tests associated with precision oncology, such as CGP assays, require more nuanced consideration that is best achieved through pathology consultation. In vetting requests for such tests, the pathologist needs information that ordering HCPs do not routinely provide when ordering other tests. A consult asking for such information allows an ordering HCP to efficiently convey this information without having to call the laboratory to circumvent a hard stop.

Regardless of whether a formal electronic consult is used, pathologists must be involved in the review of requests. Creation of an original in-house report also provides an opportunity for pathologists to offer their expertise and maximize the contribution of pathology to patient care. If outside (other VHA facility or non-VHA facility/institution) reports are simply scanned into the EHR without review and issuance of an interpretive report by an in-house pathologist, then an interpretation by a pathologist with access to the patient’s complete chart is never provided. Testing companies are not provided with every patient diagnosis, so in patients with multiple neoplastic conditions, a report may seem to indicate that a detected mutation is from 1 tumor when it is actually from another. Even when all known diagnoses are considered, a variant may be detected that the medical record could reveal to indicate a new diagnosis.

Variation in reporting between companies necessitates pathologist review to standardize care. Some companies indicate which variants may represent clonal hematopoiesis, while others will simply list the pathogenic variants. An oncologist who sees a high volume of hematolymphoid neoplasia may recognize which variants may represent clonal hematopoiesis, but others may not. Reports from the same company may vary, and their interpretation often requires a pathologist's expertise. For example, even if a sample meets the technical requirements for analysis, the report may indicate that the quality or quantity of DNA has reduced the sensitivity for genomic alteration detection. A pathologist would know how to use this information in deciding how to proceed. In a situation where quantity was the issue, the pathologist may know there is additional tissue that could be sent for testing. If quality is the issue, the pathologist may know that additional blocks from the same case likely have the same quality of DNA and would also be unsuitable for testing.

Pathologist input is necessary for precision oncology testing. Some tasks that would ideally be completed by a molecular pathologist (eg, creation of reports to indicate which variants may represent clonal hematopoiesis of indeterminate potential) may be sufficiently completed by a pathologist without fellowship training in molecular pathology.

There are about 15,000 full-time pathologists in the US.4 In the 20 years since molecular genetic pathology was formally recognized as a specialty, there have been < 500 pathologists who have pursued fellowship training in this specialty.5 With the inundation of molecular variants uncovered by routine next-generation sequencing (NGS), there are too few fellowship-trained molecular pathologists to provide all such aforementioned input; it is incumbent on surgical pathologists in general to take on such responsibilities.

Consult Implementation Data

These results support the feasibility and effectiveness of the consult process. Prior to consult implementation, many requests were not compliant with VHA National Precision Oncology Program (NPOP) testing guidelines. Since enactment of the consult, > 90% of requests have been in compliance. In the year preceding the consult (January 2020 to December 2021), 55 of 211 (26.1%) metastatic lung and prostate cancers samples eligible for NGS were tested and 126 (59.7%) NGS vendor reports were scanned into the EHR. The mean time from metastasis to NGS result was 151 days. In the year following enactment of the consult (January 2021 to December 2022), 168 of 224 (75.0%) of metastatic lung and prostate cancers eligible for NGS were tested and all 224 NGS vendor reports were scanned into the EHR. The mean time from metastasis to NGS result was 83 days. These data indicate that the practices recommended increase test use, appropriateness of orders, standardization of reporting, and efficiency of care.

CONCLUSIONS

Processing precision oncology testing requires substantial work for pathology departments. Laboratory workforce shortages and ever-expanding indications necessitate additional study of pathology processes to manage increasing workload and maintain the highest quality of cancer care through maximal efficiency and the development of appropriate staffing models. The use of a consult for anatomic pathology molecular testing is one process that can increase test use, appropriateness of orders, standardization of reporting, and efficiency of care. This report provides a comprehensive description and mapping of the process, highlights best practices, identifies inefficiencies, and provides a description and mapping of a target state.

References
  1. Inal C, Yilmaz E, Cheng H, et al. Effect of reflex testing by pathologists on molecular testing rates in lung cancer patients: experience from a community-based academic center. J Clin Oncol. 2014;32(15 suppl):8098. doi:10.1200/jco.2014.32.15_suppl.8098
  2. Mettman D, Goodman M, Modzelewski J, et al. Streamlining institutional pathway processes: the development and implementation of a pathology molecular consult to facilitate convenient and efficient ordering, fulfillment, and reporting for tissue molecular tests. J Clin Pathw.Ersek JL, Black LJ, Thompson MA, Kim ES. Implementing precision medicine programs and clinical trials in the community-based oncology practice: barriers and best practices. Am Soc Clin Oncol Educ Book. 2018;38:188- 196. doi:10.1200/EDBK_200633 2022;8(1):28-33.
  3. Ersek JL, Black LJ, Thompson MA, Kim ES. Implementing precision medicine programs and clinical trials in the community-based oncology practice: barriers and best practices. Am Soc Clin Oncol Educ Book. 2018;38:188- 196. doi:10.1200/EDBK_200633
  4. Robboy SJ, Gupta S, Crawford JM, et al. The pathologist workforce in the United States: II. An interactive modeling tool for analyzing future qualitative and quantitative staffing demands for services. Arch Pathol Lab Med. 2015;139(11):1413-1430. doi:10.5858/arpa.2014-0559-OA doi:10.25270/jcp.2022.02.1
  5. Robboy SJ, Gross D, Park JY, et al. Reevaluation of the US pathologist workforce size. JAMA Netw Open. 2020;3(7): e2010648. doi:10.1001/jamanetworkopen.2020.10648
References
  1. Inal C, Yilmaz E, Cheng H, et al. Effect of reflex testing by pathologists on molecular testing rates in lung cancer patients: experience from a community-based academic center. J Clin Oncol. 2014;32(15 suppl):8098. doi:10.1200/jco.2014.32.15_suppl.8098
  2. Mettman D, Goodman M, Modzelewski J, et al. Streamlining institutional pathway processes: the development and implementation of a pathology molecular consult to facilitate convenient and efficient ordering, fulfillment, and reporting for tissue molecular tests. J Clin Pathw.Ersek JL, Black LJ, Thompson MA, Kim ES. Implementing precision medicine programs and clinical trials in the community-based oncology practice: barriers and best practices. Am Soc Clin Oncol Educ Book. 2018;38:188- 196. doi:10.1200/EDBK_200633 2022;8(1):28-33.
  3. Ersek JL, Black LJ, Thompson MA, Kim ES. Implementing precision medicine programs and clinical trials in the community-based oncology practice: barriers and best practices. Am Soc Clin Oncol Educ Book. 2018;38:188- 196. doi:10.1200/EDBK_200633
  4. Robboy SJ, Gupta S, Crawford JM, et al. The pathologist workforce in the United States: II. An interactive modeling tool for analyzing future qualitative and quantitative staffing demands for services. Arch Pathol Lab Med. 2015;139(11):1413-1430. doi:10.5858/arpa.2014-0559-OA doi:10.25270/jcp.2022.02.1
  5. Robboy SJ, Gross D, Park JY, et al. Reevaluation of the US pathologist workforce size. JAMA Netw Open. 2020;3(7): e2010648. doi:10.1001/jamanetworkopen.2020.10648
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Handoff Delays in Teledermatology Lengthen Timeline of Care for Veterans With Melanoma

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Handoff Delays in Teledermatology Lengthen Timeline of Care for Veterans With Melanoma

Store-and-forward teledermatology (SFT) allows clinical images and information to be sent to a dermatologist for evaluation. In fiscal year (FY) 2018, 117,780 SFT consultations were completed in the Veterans Health Administration. Continued growth is expected since SFT has proven to be an effective method for improving access to face-to-face (FTF) dermatology care.1 In the same period, the US Department of Veterans Affairs (VA) Puget Sound Health Care System (VAPSHCS) completed 12,563 consultations in a mean 1.1 days from entry into episode of care (EEC), according to data reported by VA Teledermatology Program Administrator Chris Foster.

Obtaining a prompt consultation is reported to be an overwhelming advantage of using SFT.2-5 Rapid turnaround may appear to make SFT specialist care more accessible to veterans, yet this is an oversimplification. The process of delivering care (rather than consultation) through SFT is more complex than reading the images and reporting the findings. When a skin condition is identified by a primary care clinician and that person decides to request an SFT consultation, a complex set of tasks and handoffs is set into motion. A swim-lane diagram illustrates the numerous steps and handoffs that go into delivering care to a patient with a malignant melanoma on the SFT platform compared to FTF care, which requires fewer handoffs (Figure).

0525FED-AVAHO-MEL_F1

This process improvement project examined whether handoffs necessitated by SFT care lengthened the timeline of care for biopsy-proven primary cutaneous malignant melanoma. The stakes of delay in care are high. A 2018 study using the National Cancer Database found that a delay of > 30 days from biopsy to definitive excision (the date definitive surgical procedure for the condition is performed) resulted in a measurable increase in melanoma-related mortality. 6 This study sought to identify areas where the SFT timeline of care could be shortened.

Methods

This retrospective cohort study was approved by the VAPSHCS Institutional Review Board. The study drew from secondary data obtained from VistA, the VA Corporate Data Warehouse, the Veterans Integrated Service Network (VISN) 20 database, the American Academy of Dermatology Teledermatology Program database, and the VA Computerized Patient Record System.

Patients registered for ≥ 1 year at VAPSHCS with a diagnosis of primary cutaneous malignant melanoma by the Pathology service between January 1, 2006, and December 31, 2013, were included. Patients with metastatic or recurrent melanoma were excluded.

Cases were randomly selected from a melanoma database previously validated and used for another quality improvement project.7 There were initially 115 patient cases extracted from this database for both the FTF and SFT groups. Eighty-seven SFT and 107 FTF cases met inclusion criteria. To further analyze these groups, we split the FTF group into 2 subgroups: FTF dermatology (patients whose melanomas were entered into care in a dermatology clinic) and FTF primary care (patients whose melanomas were entered into care in primary care or a nondermatology setting).

The timeline of care was divided into 2 major time intervals: (1) entry into episode of care (EEC; the date a lesion was first documented in the electronic health record) to biopsy; and (2) biopsy to definitive excision. The SFT process was divided into the following intervals: EEC to imaging request (the date a clinician requested imaging); imaging request to imaging completion (the date an imager photographed a patient’s lesion); imaging completion to SFT consultation request (the date the SFT consultation was requested); SFT consultation request to consultation completion (the date an SFT reader completed the consultation request for a patient); and SFT consultation completion to biopsy. Mean and median interval lengths were compared between groups and additional analyses identified steps that may have contributed to delays in care.

To address potential bias based on access to care for rural veterans, SFT and FTF primary care cases were categorized into groups based on their location: (1) EEC and biopsy conducted at the same facility; (2) EEC and biopsy conducted at different facilities within the same health care system (main health care facility and its community-based outpatient clinics); and (3) EEC and biopsy conducted at different health care systems.

Statistics

Means, medians, and SDs were calculated in Excel. The Mann-Whitney U test was used to compare SFT medians to the FTF data and X2 test was used to compare proportions for secondary analyses.

Results

The median (mean) interval from EEC to definitive excision was 73 days (85) for SFT and 58 days (73) for FTF (P = .004) (Table). To understand this difference, the distribution of intervals from EEC to biopsy and biopsy to definitive excision were calculated. Only 38% of SFT cases were biopsied within 20 days compared to 65% of FTF cases (P < .001). The difference in time from biopsy to definitive excision distributions were not statistically significant, suggesting that the difference is actually a reflection of the differences seen in the period between EEC and biopsy.

0525FED-AVAHO-MEL_T1

EEC and biopsy occurred at the same facility in 85% and 82% of FTF primary care and SFT cases, respectively. EEC and biopsy occurred at different facilities within the same health care system in 15% and 16% of FTF primary care and SFT cases, respectively. EEC and biopsy occurred at different health care systems in 0% and 2% of FTF primary care and SFT cases, respectively. Geographic bias did not impact results for either group of veterans.

The interval between EEC and biopsy was shorter for FTF dermatology cases than for FTF primary care cases. For FTF dermatology cases, 96% were biopsied within 20 days compared with 34% of FTF primary care cases (P < .001).

To further analyze the difference in the EEC to biopsy interval duration between SFT and FTF primary care the timeline was divided into smaller steps: EEC to imaging completion, imaging completion to SFT consult completion, and SFT consult completion to biopsy. From EEC to SFT consult completion, SFT cases took a median of 6.0 days and a mean of 12.3 days, reflecting the administrative handoffs that must occur in SFT. A total of 82% of FTF primary care cases were entered into care and consultation was requested on the same day, while this was true for only 1% of SFT cases.

Since mortality data were not collected, the frequency of in situ melanomas and invasive melanomas (pathologic stage pT1a or greater) was used as a proxy for comparing outcomes. No significant difference was found in the frequency of in situ vs invasive melanomas in the SFT and FTF dermatology groups; however, there was a much higher frequency of invasive melanomas in the FTF primary care group (P = .007).

Discussion

This study compared the time to treatment for SFT vs FTF and identified important differences. The episode of care for melanomas diagnosed by SFT was statistically significantly longer (15 days) than those diagnosed by FTF. The interval between biopsy and definitive excision was a median of 34 and 38 days, and a mean of 48 and 44 days for SFT and FTF, respectively, which were not statistically significant. The difference in the total duration of the interval between EEC and definitive excision was accounted for by the duration of the interval from EEC to biopsy. When excluding dermatology clinic cases from the FTF group, there was no difference in the interval between EEC and biopsy for SFT and FTF primary care. The handoffs in SFT accounted for a median of 6 days and mean of 12 days, a significant portion of the timeline, and is a target for process improvement. The delay necessitated by handoffs did not significantly affect the distribution of in situ and invasive melanomas in the SFT and FTF dermatology groups. This suggests that SFT may have better outcomes than FTF primary care.

There has been extensive research on the timeline from the patient initially noticing a lesion to the EEC.8-11 There is also a body of research on the timeline from biopsy to definitive excision. 6,12-16 However, there has been little research on the timeline between EEC and biopsy, which comprises a large portion of the overall timeline of both SFT care and FTF care. This study analyzed the delays that can occur in this interval. When patients first enter FTF dermatology care, this timeline is quite short because lesions are often biopsied on the same day. When patients enter into care with their primary or nondermatology clinician, there can be significant delays.

Since the stakes are high when it comes to treating melanoma, it is important to minimize the overall timeline. A 6-day median and 12-day mean were established as targets for teledermatology handoffs. Ideally, a lesion should be entered into an episode of care, imaged, and sent for consultation on the same day. To help further understand delays in administrative handoffs, we stratified the SFT cases by VISN 20 sites and spoke with an administrator at a top performing site. Between 2006 and 2013, this site had a dedicated full-time imager as well as a backup imager that ensured images were taken quickly, usually on the same day the lesion was entered into care. Unfortunately, this is not the standard at all VISN 20 sites and certainly contributes to the overall delay in care in SFT

Minimizing the timeline of care is possible, as shown by the Danish health system, which developed a fast-track referral system after recognizing the need to minimize delays between the presentation, diagnosis, and treatment of cutaneous melanomas. In Denmark, a patient who presents to a general practitioner with a suspicious lesion is referred to secondary care for excision biopsy within 6 days. Diagnosis is made within 2 weeks, and, if necessary, definitive excision is offered within 9 days of the diagnosis. This translates into a maximum 20-day EEC to biopsy timeline and maximum 29-day EEC to definitive excision timeline. Although an intervention such as this may be difficult to implement in the United States due to its size and decentralized health care system, it would, however, be more realistic within the VA due to its centralized structure. The Danish system shows that with appropriate resource allocation and strict timeframes for treatment referrals, the timeline can be minimized.17

Despite the delay in the SFT timeline, this study found no significant difference between the distribution of in situ vs invasive melanomas in FTF dermatology and SFT groups. One possible explanation for this is that SFT increases access to dermatologist care, meaning clinicians may be more willing to consult SFT for less advanced– appearing lesions.

The finding that SFT diagnosed a larger proportion of in situ melanomas than FTF primary care is consistent with the findings of Ferrándiz et al, who reported that the mean Breslow thickness was significantly lower among patients in an SFT group compared to patients in an FTF group consisting of general practitioners. 18 However, the study population was not randomized and the results may have been impacted by ascertainment bias. Ferrándiz et al hypothesized that clinicians may have a lower threshold for consulting teledermatology, resulting in lower mean Breslow thicknesses.18 Karavan et al found the opposite results, with a higher mean Breslow thickness in SFT compared to a primary care FTF group.19 The data presented here suggest that SFT has room for process improvement yet is essentially equivalent to FTF dermatology in terms of outcomes.

Limitations

The majority of patients in this study were aged > 50 years, White, and male. The results may not be representative for other populations. The study was relatively small compared to studies that looked at other aspects of the melanoma care timeline. The study was not powered to ascertain mortality, the most important metric for melanoma.

Conclusions

The episode of care was significantly longer for melanomas diagnosed by SFT than those diagnosed by FTF; however, timelines were not statistically different when FTF lesions entered into care in dermatology were excluded. A median 6-day and mean 12.3-day delay in administrative handoffs occurred at the beginning of the SFT process and is a target for process improvement. Considering the high stakes of melanoma, the SFT timeline could be reduced if EEC, imaging, and SFT consultation all happened in the same day.

References
  1. Raugi GJ, Nelson W, Miethke M, et al. Teledermatology implementation in a VHA secondary treatment facility improves access to face-to-face care. Telemed J E Health. 2016;22(1):12-17. doi:10.1089/tmj.2015.0036
  2. Moreno-Ramirez D, Ferrandiz L, Nieto-Garcia A, et al. Store-and-forward teledermatology in skin cancer triage: experience and evaluation of 2009 teleconsultations. Arch Dermatol. 2007;143(4):479-484. doi:10.1001/archderm.143.4.479
  3. Landow SM, Oh DH, Weinstock MA. Teledermatology within the Veterans Health Administration, 2002–2014. Telemed J E Health. 2015;21(10):769-773. doi:10.1089/tmj.2014.0225
  4. Whited JD, Hall RP, Foy ME, et al. Teledermatology’s impact on time to intervention among referrals to a dermatology consult service. Telemed J E Health. 2002;8(3):313-321. doi:10.1089/15305620260353207
  5. Hsiao JL, Oh DH. The impact of store-and-forward teledermatology on skin cancer diagnosis and treatment. J Am Acad Dermatol. 2008;59(2):260-267. doi:10.1016/j.jaad.2008.04.011
  6. Conic RZ, Cabrera CI, Khorana AA, Gastman BR. Determination of the impact of melanoma surgical timing on survival using the National Cancer Database. J Am Acad Dermatol. 2018;78(1):40-46.e7. doi:10.1016/j.jaad.2017.08.039
  7. Dougall B, Gendreau J, Das S, et al. Melanoma registry underreporting in the Veterans Health Administration. Fed Pract. 2016;33(suppl 5):55S-59S
  8. Xavier MHSB, Drummond-Lage AP, Baeta C, Rocha L, Almeida AM, Wainstein AJA. Delay in cutaneous melanoma diagnosis: sequence analyses from suspicion to diagnosis in 211 patients. Medicine (Baltimore). 2016;95(31):e4396. doi:10.1097/md.0000000000004396
  9. Schmid-Wendtner MH, Baumert J, Stange J, Volkenandt M. Delay in the diagnosis of cutaneous melanoma: an analysis of 233 patients. Melanoma Res. 2002;12(4):389-394. doi:10.1097/00008390-200208000-00012
  10. Betti, R, Vergani R, Tolomio E, Santambrogio R, Crosti C. Factors of delay in the diagnosis of melanoma. Eur J Dermatol. 2003;13(2):183-188.
  11. Blum A, Brand CU, Ellwanger U, et al. Awareness and early detection of cutaneous melanoma: An analysis of factors related to delay in treatment. Br J Dermatol. 1999;141(5):783-787. doi:10.1046/j.1365-2133.1999.03196.x
  12. Brian T, Adams B, Jameson M. Cutaneous melanoma: an audit of management timeliness against New Zealand guidelines. N Z Med J. 2017;130(1462):54-61. https://pubmed.ncbi.nlm.nih.gov/28934768
  13. Adamson AS, Zhou L, Baggett CD, Thomas NE, Meyer AM. Association of delays in surgery for melanoma with Insurance type. JAMA Dermatol. 2017;153(11):1106-1113. doi:https://doi.org/10.1001/jamadermatol.2017.3338
  14. Niehues NB, Evanson B, Smith WA, Fiore CT, Parekh P. Melanoma patient notification and treatment timelines. Dermatol Online J. 2019;25(4)13. doi:10.5070/d3254043588
  15. Lott JP, Narayan D, Soulos PR, Aminawung J, Gross CP. Delay of surgery for melanoma among Medicare beneficiaries. JAMA Dermatol. 2015;151(7):731-741. doi:10.1001/jamadermatol.2015.119
  16. Baranowski MLH, Yeung H, Chen SC, Gillespie TW, Goodman M. Factors associated with time to surgery in melanoma: an analysis of the National Cancer Database. J Am Acad Dermatol. 2019;81(4):908-916. doi:10.1016/j.jaad.2019.05.079
  17. Jarjis RD, Hansen LB, Matzen SH. A fast-track referral system for skin lesions suspicious of melanoma: population-based cross-sectional study from a plastic surgery center. Plast Surg Int. 2016;2016:2908917. doi:10.1155/2016/2908917
  18. Ferrándiz L, Ruiz-de-Casas A, Martin-Gutierrez FJ, et al. Effect of teledermatology on the prognosis of patients with cutaneous melanoma. Arch Dermatol. 2012;148(9):1025-1028. doi:10.1001/archdermatol.2012.778
  19. Karavan M, Compton N, Knezevich S, et al. Teledermatology in the diagnosis of melanoma. J Telemed Telecare. 2014;20(1):18-23. doi:10.1177/1357633x13517354
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Samuel Byrne, BSa,b; Clayton Lau, BSa; Maya Gopalan, BSa; Sandra Mata-Diaz, BSa; Gregory J. Raugi, MD, PhDc,d

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bUniversity of Arizona College of Medicine, Phoenix
cVeterans Affairs Puget Sound Health Care System, Seattle, Washington
dUniversity of Washington Department of Medicine, Seattle

Author disclosures The authors report no actual or potential conflicts of interest with regard to this article.

Correspondence: Samuel Byrne ([email protected])

Fed Pract. 2025;42(suppl 2). Published online May 8. doi:10.12788/fp.0587

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aUniversity of Washington School of Public Health, Seattle
bUniversity of Arizona College of Medicine, Phoenix
cVeterans Affairs Puget Sound Health Care System, Seattle, Washington
dUniversity of Washington Department of Medicine, Seattle

Author disclosures The authors report no actual or potential conflicts of interest with regard to this article.

Correspondence: Samuel Byrne ([email protected])

Fed Pract. 2025;42(suppl 2). Published online May 8. doi:10.12788/fp.0587

Author and Disclosure Information

Samuel Byrne, BSa,b; Clayton Lau, BSa; Maya Gopalan, BSa; Sandra Mata-Diaz, BSa; Gregory J. Raugi, MD, PhDc,d

Author affiliations;
aUniversity of Washington School of Public Health, Seattle
bUniversity of Arizona College of Medicine, Phoenix
cVeterans Affairs Puget Sound Health Care System, Seattle, Washington
dUniversity of Washington Department of Medicine, Seattle

Author disclosures The authors report no actual or potential conflicts of interest with regard to this article.

Correspondence: Samuel Byrne ([email protected])

Fed Pract. 2025;42(suppl 2). Published online May 8. doi:10.12788/fp.0587

Article PDF
Article PDF

Store-and-forward teledermatology (SFT) allows clinical images and information to be sent to a dermatologist for evaluation. In fiscal year (FY) 2018, 117,780 SFT consultations were completed in the Veterans Health Administration. Continued growth is expected since SFT has proven to be an effective method for improving access to face-to-face (FTF) dermatology care.1 In the same period, the US Department of Veterans Affairs (VA) Puget Sound Health Care System (VAPSHCS) completed 12,563 consultations in a mean 1.1 days from entry into episode of care (EEC), according to data reported by VA Teledermatology Program Administrator Chris Foster.

Obtaining a prompt consultation is reported to be an overwhelming advantage of using SFT.2-5 Rapid turnaround may appear to make SFT specialist care more accessible to veterans, yet this is an oversimplification. The process of delivering care (rather than consultation) through SFT is more complex than reading the images and reporting the findings. When a skin condition is identified by a primary care clinician and that person decides to request an SFT consultation, a complex set of tasks and handoffs is set into motion. A swim-lane diagram illustrates the numerous steps and handoffs that go into delivering care to a patient with a malignant melanoma on the SFT platform compared to FTF care, which requires fewer handoffs (Figure).

0525FED-AVAHO-MEL_F1

This process improvement project examined whether handoffs necessitated by SFT care lengthened the timeline of care for biopsy-proven primary cutaneous malignant melanoma. The stakes of delay in care are high. A 2018 study using the National Cancer Database found that a delay of > 30 days from biopsy to definitive excision (the date definitive surgical procedure for the condition is performed) resulted in a measurable increase in melanoma-related mortality. 6 This study sought to identify areas where the SFT timeline of care could be shortened.

Methods

This retrospective cohort study was approved by the VAPSHCS Institutional Review Board. The study drew from secondary data obtained from VistA, the VA Corporate Data Warehouse, the Veterans Integrated Service Network (VISN) 20 database, the American Academy of Dermatology Teledermatology Program database, and the VA Computerized Patient Record System.

Patients registered for ≥ 1 year at VAPSHCS with a diagnosis of primary cutaneous malignant melanoma by the Pathology service between January 1, 2006, and December 31, 2013, were included. Patients with metastatic or recurrent melanoma were excluded.

Cases were randomly selected from a melanoma database previously validated and used for another quality improvement project.7 There were initially 115 patient cases extracted from this database for both the FTF and SFT groups. Eighty-seven SFT and 107 FTF cases met inclusion criteria. To further analyze these groups, we split the FTF group into 2 subgroups: FTF dermatology (patients whose melanomas were entered into care in a dermatology clinic) and FTF primary care (patients whose melanomas were entered into care in primary care or a nondermatology setting).

The timeline of care was divided into 2 major time intervals: (1) entry into episode of care (EEC; the date a lesion was first documented in the electronic health record) to biopsy; and (2) biopsy to definitive excision. The SFT process was divided into the following intervals: EEC to imaging request (the date a clinician requested imaging); imaging request to imaging completion (the date an imager photographed a patient’s lesion); imaging completion to SFT consultation request (the date the SFT consultation was requested); SFT consultation request to consultation completion (the date an SFT reader completed the consultation request for a patient); and SFT consultation completion to biopsy. Mean and median interval lengths were compared between groups and additional analyses identified steps that may have contributed to delays in care.

To address potential bias based on access to care for rural veterans, SFT and FTF primary care cases were categorized into groups based on their location: (1) EEC and biopsy conducted at the same facility; (2) EEC and biopsy conducted at different facilities within the same health care system (main health care facility and its community-based outpatient clinics); and (3) EEC and biopsy conducted at different health care systems.

Statistics

Means, medians, and SDs were calculated in Excel. The Mann-Whitney U test was used to compare SFT medians to the FTF data and X2 test was used to compare proportions for secondary analyses.

Results

The median (mean) interval from EEC to definitive excision was 73 days (85) for SFT and 58 days (73) for FTF (P = .004) (Table). To understand this difference, the distribution of intervals from EEC to biopsy and biopsy to definitive excision were calculated. Only 38% of SFT cases were biopsied within 20 days compared to 65% of FTF cases (P < .001). The difference in time from biopsy to definitive excision distributions were not statistically significant, suggesting that the difference is actually a reflection of the differences seen in the period between EEC and biopsy.

0525FED-AVAHO-MEL_T1

EEC and biopsy occurred at the same facility in 85% and 82% of FTF primary care and SFT cases, respectively. EEC and biopsy occurred at different facilities within the same health care system in 15% and 16% of FTF primary care and SFT cases, respectively. EEC and biopsy occurred at different health care systems in 0% and 2% of FTF primary care and SFT cases, respectively. Geographic bias did not impact results for either group of veterans.

The interval between EEC and biopsy was shorter for FTF dermatology cases than for FTF primary care cases. For FTF dermatology cases, 96% were biopsied within 20 days compared with 34% of FTF primary care cases (P < .001).

To further analyze the difference in the EEC to biopsy interval duration between SFT and FTF primary care the timeline was divided into smaller steps: EEC to imaging completion, imaging completion to SFT consult completion, and SFT consult completion to biopsy. From EEC to SFT consult completion, SFT cases took a median of 6.0 days and a mean of 12.3 days, reflecting the administrative handoffs that must occur in SFT. A total of 82% of FTF primary care cases were entered into care and consultation was requested on the same day, while this was true for only 1% of SFT cases.

Since mortality data were not collected, the frequency of in situ melanomas and invasive melanomas (pathologic stage pT1a or greater) was used as a proxy for comparing outcomes. No significant difference was found in the frequency of in situ vs invasive melanomas in the SFT and FTF dermatology groups; however, there was a much higher frequency of invasive melanomas in the FTF primary care group (P = .007).

Discussion

This study compared the time to treatment for SFT vs FTF and identified important differences. The episode of care for melanomas diagnosed by SFT was statistically significantly longer (15 days) than those diagnosed by FTF. The interval between biopsy and definitive excision was a median of 34 and 38 days, and a mean of 48 and 44 days for SFT and FTF, respectively, which were not statistically significant. The difference in the total duration of the interval between EEC and definitive excision was accounted for by the duration of the interval from EEC to biopsy. When excluding dermatology clinic cases from the FTF group, there was no difference in the interval between EEC and biopsy for SFT and FTF primary care. The handoffs in SFT accounted for a median of 6 days and mean of 12 days, a significant portion of the timeline, and is a target for process improvement. The delay necessitated by handoffs did not significantly affect the distribution of in situ and invasive melanomas in the SFT and FTF dermatology groups. This suggests that SFT may have better outcomes than FTF primary care.

There has been extensive research on the timeline from the patient initially noticing a lesion to the EEC.8-11 There is also a body of research on the timeline from biopsy to definitive excision. 6,12-16 However, there has been little research on the timeline between EEC and biopsy, which comprises a large portion of the overall timeline of both SFT care and FTF care. This study analyzed the delays that can occur in this interval. When patients first enter FTF dermatology care, this timeline is quite short because lesions are often biopsied on the same day. When patients enter into care with their primary or nondermatology clinician, there can be significant delays.

Since the stakes are high when it comes to treating melanoma, it is important to minimize the overall timeline. A 6-day median and 12-day mean were established as targets for teledermatology handoffs. Ideally, a lesion should be entered into an episode of care, imaged, and sent for consultation on the same day. To help further understand delays in administrative handoffs, we stratified the SFT cases by VISN 20 sites and spoke with an administrator at a top performing site. Between 2006 and 2013, this site had a dedicated full-time imager as well as a backup imager that ensured images were taken quickly, usually on the same day the lesion was entered into care. Unfortunately, this is not the standard at all VISN 20 sites and certainly contributes to the overall delay in care in SFT

Minimizing the timeline of care is possible, as shown by the Danish health system, which developed a fast-track referral system after recognizing the need to minimize delays between the presentation, diagnosis, and treatment of cutaneous melanomas. In Denmark, a patient who presents to a general practitioner with a suspicious lesion is referred to secondary care for excision biopsy within 6 days. Diagnosis is made within 2 weeks, and, if necessary, definitive excision is offered within 9 days of the diagnosis. This translates into a maximum 20-day EEC to biopsy timeline and maximum 29-day EEC to definitive excision timeline. Although an intervention such as this may be difficult to implement in the United States due to its size and decentralized health care system, it would, however, be more realistic within the VA due to its centralized structure. The Danish system shows that with appropriate resource allocation and strict timeframes for treatment referrals, the timeline can be minimized.17

Despite the delay in the SFT timeline, this study found no significant difference between the distribution of in situ vs invasive melanomas in FTF dermatology and SFT groups. One possible explanation for this is that SFT increases access to dermatologist care, meaning clinicians may be more willing to consult SFT for less advanced– appearing lesions.

The finding that SFT diagnosed a larger proportion of in situ melanomas than FTF primary care is consistent with the findings of Ferrándiz et al, who reported that the mean Breslow thickness was significantly lower among patients in an SFT group compared to patients in an FTF group consisting of general practitioners. 18 However, the study population was not randomized and the results may have been impacted by ascertainment bias. Ferrándiz et al hypothesized that clinicians may have a lower threshold for consulting teledermatology, resulting in lower mean Breslow thicknesses.18 Karavan et al found the opposite results, with a higher mean Breslow thickness in SFT compared to a primary care FTF group.19 The data presented here suggest that SFT has room for process improvement yet is essentially equivalent to FTF dermatology in terms of outcomes.

Limitations

The majority of patients in this study were aged > 50 years, White, and male. The results may not be representative for other populations. The study was relatively small compared to studies that looked at other aspects of the melanoma care timeline. The study was not powered to ascertain mortality, the most important metric for melanoma.

Conclusions

The episode of care was significantly longer for melanomas diagnosed by SFT than those diagnosed by FTF; however, timelines were not statistically different when FTF lesions entered into care in dermatology were excluded. A median 6-day and mean 12.3-day delay in administrative handoffs occurred at the beginning of the SFT process and is a target for process improvement. Considering the high stakes of melanoma, the SFT timeline could be reduced if EEC, imaging, and SFT consultation all happened in the same day.

Store-and-forward teledermatology (SFT) allows clinical images and information to be sent to a dermatologist for evaluation. In fiscal year (FY) 2018, 117,780 SFT consultations were completed in the Veterans Health Administration. Continued growth is expected since SFT has proven to be an effective method for improving access to face-to-face (FTF) dermatology care.1 In the same period, the US Department of Veterans Affairs (VA) Puget Sound Health Care System (VAPSHCS) completed 12,563 consultations in a mean 1.1 days from entry into episode of care (EEC), according to data reported by VA Teledermatology Program Administrator Chris Foster.

Obtaining a prompt consultation is reported to be an overwhelming advantage of using SFT.2-5 Rapid turnaround may appear to make SFT specialist care more accessible to veterans, yet this is an oversimplification. The process of delivering care (rather than consultation) through SFT is more complex than reading the images and reporting the findings. When a skin condition is identified by a primary care clinician and that person decides to request an SFT consultation, a complex set of tasks and handoffs is set into motion. A swim-lane diagram illustrates the numerous steps and handoffs that go into delivering care to a patient with a malignant melanoma on the SFT platform compared to FTF care, which requires fewer handoffs (Figure).

0525FED-AVAHO-MEL_F1

This process improvement project examined whether handoffs necessitated by SFT care lengthened the timeline of care for biopsy-proven primary cutaneous malignant melanoma. The stakes of delay in care are high. A 2018 study using the National Cancer Database found that a delay of > 30 days from biopsy to definitive excision (the date definitive surgical procedure for the condition is performed) resulted in a measurable increase in melanoma-related mortality. 6 This study sought to identify areas where the SFT timeline of care could be shortened.

Methods

This retrospective cohort study was approved by the VAPSHCS Institutional Review Board. The study drew from secondary data obtained from VistA, the VA Corporate Data Warehouse, the Veterans Integrated Service Network (VISN) 20 database, the American Academy of Dermatology Teledermatology Program database, and the VA Computerized Patient Record System.

Patients registered for ≥ 1 year at VAPSHCS with a diagnosis of primary cutaneous malignant melanoma by the Pathology service between January 1, 2006, and December 31, 2013, were included. Patients with metastatic or recurrent melanoma were excluded.

Cases were randomly selected from a melanoma database previously validated and used for another quality improvement project.7 There were initially 115 patient cases extracted from this database for both the FTF and SFT groups. Eighty-seven SFT and 107 FTF cases met inclusion criteria. To further analyze these groups, we split the FTF group into 2 subgroups: FTF dermatology (patients whose melanomas were entered into care in a dermatology clinic) and FTF primary care (patients whose melanomas were entered into care in primary care or a nondermatology setting).

The timeline of care was divided into 2 major time intervals: (1) entry into episode of care (EEC; the date a lesion was first documented in the electronic health record) to biopsy; and (2) biopsy to definitive excision. The SFT process was divided into the following intervals: EEC to imaging request (the date a clinician requested imaging); imaging request to imaging completion (the date an imager photographed a patient’s lesion); imaging completion to SFT consultation request (the date the SFT consultation was requested); SFT consultation request to consultation completion (the date an SFT reader completed the consultation request for a patient); and SFT consultation completion to biopsy. Mean and median interval lengths were compared between groups and additional analyses identified steps that may have contributed to delays in care.

To address potential bias based on access to care for rural veterans, SFT and FTF primary care cases were categorized into groups based on their location: (1) EEC and biopsy conducted at the same facility; (2) EEC and biopsy conducted at different facilities within the same health care system (main health care facility and its community-based outpatient clinics); and (3) EEC and biopsy conducted at different health care systems.

Statistics

Means, medians, and SDs were calculated in Excel. The Mann-Whitney U test was used to compare SFT medians to the FTF data and X2 test was used to compare proportions for secondary analyses.

Results

The median (mean) interval from EEC to definitive excision was 73 days (85) for SFT and 58 days (73) for FTF (P = .004) (Table). To understand this difference, the distribution of intervals from EEC to biopsy and biopsy to definitive excision were calculated. Only 38% of SFT cases were biopsied within 20 days compared to 65% of FTF cases (P < .001). The difference in time from biopsy to definitive excision distributions were not statistically significant, suggesting that the difference is actually a reflection of the differences seen in the period between EEC and biopsy.

0525FED-AVAHO-MEL_T1

EEC and biopsy occurred at the same facility in 85% and 82% of FTF primary care and SFT cases, respectively. EEC and biopsy occurred at different facilities within the same health care system in 15% and 16% of FTF primary care and SFT cases, respectively. EEC and biopsy occurred at different health care systems in 0% and 2% of FTF primary care and SFT cases, respectively. Geographic bias did not impact results for either group of veterans.

The interval between EEC and biopsy was shorter for FTF dermatology cases than for FTF primary care cases. For FTF dermatology cases, 96% were biopsied within 20 days compared with 34% of FTF primary care cases (P < .001).

To further analyze the difference in the EEC to biopsy interval duration between SFT and FTF primary care the timeline was divided into smaller steps: EEC to imaging completion, imaging completion to SFT consult completion, and SFT consult completion to biopsy. From EEC to SFT consult completion, SFT cases took a median of 6.0 days and a mean of 12.3 days, reflecting the administrative handoffs that must occur in SFT. A total of 82% of FTF primary care cases were entered into care and consultation was requested on the same day, while this was true for only 1% of SFT cases.

Since mortality data were not collected, the frequency of in situ melanomas and invasive melanomas (pathologic stage pT1a or greater) was used as a proxy for comparing outcomes. No significant difference was found in the frequency of in situ vs invasive melanomas in the SFT and FTF dermatology groups; however, there was a much higher frequency of invasive melanomas in the FTF primary care group (P = .007).

Discussion

This study compared the time to treatment for SFT vs FTF and identified important differences. The episode of care for melanomas diagnosed by SFT was statistically significantly longer (15 days) than those diagnosed by FTF. The interval between biopsy and definitive excision was a median of 34 and 38 days, and a mean of 48 and 44 days for SFT and FTF, respectively, which were not statistically significant. The difference in the total duration of the interval between EEC and definitive excision was accounted for by the duration of the interval from EEC to biopsy. When excluding dermatology clinic cases from the FTF group, there was no difference in the interval between EEC and biopsy for SFT and FTF primary care. The handoffs in SFT accounted for a median of 6 days and mean of 12 days, a significant portion of the timeline, and is a target for process improvement. The delay necessitated by handoffs did not significantly affect the distribution of in situ and invasive melanomas in the SFT and FTF dermatology groups. This suggests that SFT may have better outcomes than FTF primary care.

There has been extensive research on the timeline from the patient initially noticing a lesion to the EEC.8-11 There is also a body of research on the timeline from biopsy to definitive excision. 6,12-16 However, there has been little research on the timeline between EEC and biopsy, which comprises a large portion of the overall timeline of both SFT care and FTF care. This study analyzed the delays that can occur in this interval. When patients first enter FTF dermatology care, this timeline is quite short because lesions are often biopsied on the same day. When patients enter into care with their primary or nondermatology clinician, there can be significant delays.

Since the stakes are high when it comes to treating melanoma, it is important to minimize the overall timeline. A 6-day median and 12-day mean were established as targets for teledermatology handoffs. Ideally, a lesion should be entered into an episode of care, imaged, and sent for consultation on the same day. To help further understand delays in administrative handoffs, we stratified the SFT cases by VISN 20 sites and spoke with an administrator at a top performing site. Between 2006 and 2013, this site had a dedicated full-time imager as well as a backup imager that ensured images were taken quickly, usually on the same day the lesion was entered into care. Unfortunately, this is not the standard at all VISN 20 sites and certainly contributes to the overall delay in care in SFT

Minimizing the timeline of care is possible, as shown by the Danish health system, which developed a fast-track referral system after recognizing the need to minimize delays between the presentation, diagnosis, and treatment of cutaneous melanomas. In Denmark, a patient who presents to a general practitioner with a suspicious lesion is referred to secondary care for excision biopsy within 6 days. Diagnosis is made within 2 weeks, and, if necessary, definitive excision is offered within 9 days of the diagnosis. This translates into a maximum 20-day EEC to biopsy timeline and maximum 29-day EEC to definitive excision timeline. Although an intervention such as this may be difficult to implement in the United States due to its size and decentralized health care system, it would, however, be more realistic within the VA due to its centralized structure. The Danish system shows that with appropriate resource allocation and strict timeframes for treatment referrals, the timeline can be minimized.17

Despite the delay in the SFT timeline, this study found no significant difference between the distribution of in situ vs invasive melanomas in FTF dermatology and SFT groups. One possible explanation for this is that SFT increases access to dermatologist care, meaning clinicians may be more willing to consult SFT for less advanced– appearing lesions.

The finding that SFT diagnosed a larger proportion of in situ melanomas than FTF primary care is consistent with the findings of Ferrándiz et al, who reported that the mean Breslow thickness was significantly lower among patients in an SFT group compared to patients in an FTF group consisting of general practitioners. 18 However, the study population was not randomized and the results may have been impacted by ascertainment bias. Ferrándiz et al hypothesized that clinicians may have a lower threshold for consulting teledermatology, resulting in lower mean Breslow thicknesses.18 Karavan et al found the opposite results, with a higher mean Breslow thickness in SFT compared to a primary care FTF group.19 The data presented here suggest that SFT has room for process improvement yet is essentially equivalent to FTF dermatology in terms of outcomes.

Limitations

The majority of patients in this study were aged > 50 years, White, and male. The results may not be representative for other populations. The study was relatively small compared to studies that looked at other aspects of the melanoma care timeline. The study was not powered to ascertain mortality, the most important metric for melanoma.

Conclusions

The episode of care was significantly longer for melanomas diagnosed by SFT than those diagnosed by FTF; however, timelines were not statistically different when FTF lesions entered into care in dermatology were excluded. A median 6-day and mean 12.3-day delay in administrative handoffs occurred at the beginning of the SFT process and is a target for process improvement. Considering the high stakes of melanoma, the SFT timeline could be reduced if EEC, imaging, and SFT consultation all happened in the same day.

References
  1. Raugi GJ, Nelson W, Miethke M, et al. Teledermatology implementation in a VHA secondary treatment facility improves access to face-to-face care. Telemed J E Health. 2016;22(1):12-17. doi:10.1089/tmj.2015.0036
  2. Moreno-Ramirez D, Ferrandiz L, Nieto-Garcia A, et al. Store-and-forward teledermatology in skin cancer triage: experience and evaluation of 2009 teleconsultations. Arch Dermatol. 2007;143(4):479-484. doi:10.1001/archderm.143.4.479
  3. Landow SM, Oh DH, Weinstock MA. Teledermatology within the Veterans Health Administration, 2002–2014. Telemed J E Health. 2015;21(10):769-773. doi:10.1089/tmj.2014.0225
  4. Whited JD, Hall RP, Foy ME, et al. Teledermatology’s impact on time to intervention among referrals to a dermatology consult service. Telemed J E Health. 2002;8(3):313-321. doi:10.1089/15305620260353207
  5. Hsiao JL, Oh DH. The impact of store-and-forward teledermatology on skin cancer diagnosis and treatment. J Am Acad Dermatol. 2008;59(2):260-267. doi:10.1016/j.jaad.2008.04.011
  6. Conic RZ, Cabrera CI, Khorana AA, Gastman BR. Determination of the impact of melanoma surgical timing on survival using the National Cancer Database. J Am Acad Dermatol. 2018;78(1):40-46.e7. doi:10.1016/j.jaad.2017.08.039
  7. Dougall B, Gendreau J, Das S, et al. Melanoma registry underreporting in the Veterans Health Administration. Fed Pract. 2016;33(suppl 5):55S-59S
  8. Xavier MHSB, Drummond-Lage AP, Baeta C, Rocha L, Almeida AM, Wainstein AJA. Delay in cutaneous melanoma diagnosis: sequence analyses from suspicion to diagnosis in 211 patients. Medicine (Baltimore). 2016;95(31):e4396. doi:10.1097/md.0000000000004396
  9. Schmid-Wendtner MH, Baumert J, Stange J, Volkenandt M. Delay in the diagnosis of cutaneous melanoma: an analysis of 233 patients. Melanoma Res. 2002;12(4):389-394. doi:10.1097/00008390-200208000-00012
  10. Betti, R, Vergani R, Tolomio E, Santambrogio R, Crosti C. Factors of delay in the diagnosis of melanoma. Eur J Dermatol. 2003;13(2):183-188.
  11. Blum A, Brand CU, Ellwanger U, et al. Awareness and early detection of cutaneous melanoma: An analysis of factors related to delay in treatment. Br J Dermatol. 1999;141(5):783-787. doi:10.1046/j.1365-2133.1999.03196.x
  12. Brian T, Adams B, Jameson M. Cutaneous melanoma: an audit of management timeliness against New Zealand guidelines. N Z Med J. 2017;130(1462):54-61. https://pubmed.ncbi.nlm.nih.gov/28934768
  13. Adamson AS, Zhou L, Baggett CD, Thomas NE, Meyer AM. Association of delays in surgery for melanoma with Insurance type. JAMA Dermatol. 2017;153(11):1106-1113. doi:https://doi.org/10.1001/jamadermatol.2017.3338
  14. Niehues NB, Evanson B, Smith WA, Fiore CT, Parekh P. Melanoma patient notification and treatment timelines. Dermatol Online J. 2019;25(4)13. doi:10.5070/d3254043588
  15. Lott JP, Narayan D, Soulos PR, Aminawung J, Gross CP. Delay of surgery for melanoma among Medicare beneficiaries. JAMA Dermatol. 2015;151(7):731-741. doi:10.1001/jamadermatol.2015.119
  16. Baranowski MLH, Yeung H, Chen SC, Gillespie TW, Goodman M. Factors associated with time to surgery in melanoma: an analysis of the National Cancer Database. J Am Acad Dermatol. 2019;81(4):908-916. doi:10.1016/j.jaad.2019.05.079
  17. Jarjis RD, Hansen LB, Matzen SH. A fast-track referral system for skin lesions suspicious of melanoma: population-based cross-sectional study from a plastic surgery center. Plast Surg Int. 2016;2016:2908917. doi:10.1155/2016/2908917
  18. Ferrándiz L, Ruiz-de-Casas A, Martin-Gutierrez FJ, et al. Effect of teledermatology on the prognosis of patients with cutaneous melanoma. Arch Dermatol. 2012;148(9):1025-1028. doi:10.1001/archdermatol.2012.778
  19. Karavan M, Compton N, Knezevich S, et al. Teledermatology in the diagnosis of melanoma. J Telemed Telecare. 2014;20(1):18-23. doi:10.1177/1357633x13517354
References
  1. Raugi GJ, Nelson W, Miethke M, et al. Teledermatology implementation in a VHA secondary treatment facility improves access to face-to-face care. Telemed J E Health. 2016;22(1):12-17. doi:10.1089/tmj.2015.0036
  2. Moreno-Ramirez D, Ferrandiz L, Nieto-Garcia A, et al. Store-and-forward teledermatology in skin cancer triage: experience and evaluation of 2009 teleconsultations. Arch Dermatol. 2007;143(4):479-484. doi:10.1001/archderm.143.4.479
  3. Landow SM, Oh DH, Weinstock MA. Teledermatology within the Veterans Health Administration, 2002–2014. Telemed J E Health. 2015;21(10):769-773. doi:10.1089/tmj.2014.0225
  4. Whited JD, Hall RP, Foy ME, et al. Teledermatology’s impact on time to intervention among referrals to a dermatology consult service. Telemed J E Health. 2002;8(3):313-321. doi:10.1089/15305620260353207
  5. Hsiao JL, Oh DH. The impact of store-and-forward teledermatology on skin cancer diagnosis and treatment. J Am Acad Dermatol. 2008;59(2):260-267. doi:10.1016/j.jaad.2008.04.011
  6. Conic RZ, Cabrera CI, Khorana AA, Gastman BR. Determination of the impact of melanoma surgical timing on survival using the National Cancer Database. J Am Acad Dermatol. 2018;78(1):40-46.e7. doi:10.1016/j.jaad.2017.08.039
  7. Dougall B, Gendreau J, Das S, et al. Melanoma registry underreporting in the Veterans Health Administration. Fed Pract. 2016;33(suppl 5):55S-59S
  8. Xavier MHSB, Drummond-Lage AP, Baeta C, Rocha L, Almeida AM, Wainstein AJA. Delay in cutaneous melanoma diagnosis: sequence analyses from suspicion to diagnosis in 211 patients. Medicine (Baltimore). 2016;95(31):e4396. doi:10.1097/md.0000000000004396
  9. Schmid-Wendtner MH, Baumert J, Stange J, Volkenandt M. Delay in the diagnosis of cutaneous melanoma: an analysis of 233 patients. Melanoma Res. 2002;12(4):389-394. doi:10.1097/00008390-200208000-00012
  10. Betti, R, Vergani R, Tolomio E, Santambrogio R, Crosti C. Factors of delay in the diagnosis of melanoma. Eur J Dermatol. 2003;13(2):183-188.
  11. Blum A, Brand CU, Ellwanger U, et al. Awareness and early detection of cutaneous melanoma: An analysis of factors related to delay in treatment. Br J Dermatol. 1999;141(5):783-787. doi:10.1046/j.1365-2133.1999.03196.x
  12. Brian T, Adams B, Jameson M. Cutaneous melanoma: an audit of management timeliness against New Zealand guidelines. N Z Med J. 2017;130(1462):54-61. https://pubmed.ncbi.nlm.nih.gov/28934768
  13. Adamson AS, Zhou L, Baggett CD, Thomas NE, Meyer AM. Association of delays in surgery for melanoma with Insurance type. JAMA Dermatol. 2017;153(11):1106-1113. doi:https://doi.org/10.1001/jamadermatol.2017.3338
  14. Niehues NB, Evanson B, Smith WA, Fiore CT, Parekh P. Melanoma patient notification and treatment timelines. Dermatol Online J. 2019;25(4)13. doi:10.5070/d3254043588
  15. Lott JP, Narayan D, Soulos PR, Aminawung J, Gross CP. Delay of surgery for melanoma among Medicare beneficiaries. JAMA Dermatol. 2015;151(7):731-741. doi:10.1001/jamadermatol.2015.119
  16. Baranowski MLH, Yeung H, Chen SC, Gillespie TW, Goodman M. Factors associated with time to surgery in melanoma: an analysis of the National Cancer Database. J Am Acad Dermatol. 2019;81(4):908-916. doi:10.1016/j.jaad.2019.05.079
  17. Jarjis RD, Hansen LB, Matzen SH. A fast-track referral system for skin lesions suspicious of melanoma: population-based cross-sectional study from a plastic surgery center. Plast Surg Int. 2016;2016:2908917. doi:10.1155/2016/2908917
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  19. Karavan M, Compton N, Knezevich S, et al. Teledermatology in the diagnosis of melanoma. J Telemed Telecare. 2014;20(1):18-23. doi:10.1177/1357633x13517354
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Handoff Delays in Teledermatology Lengthen Timeline of Care for Veterans With Melanoma

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Handoff Delays in Teledermatology Lengthen Timeline of Care for Veterans With Melanoma

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