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Novel delivery system could treat MCL
Researchers say they have developed a system for delivering therapy at the site of mantle cell lymphoma (MCL).
The system harnesses nanoparticles coated with “GPS” antibodies that navigate toward cancerous cells, where they offload cyclin D1-blockers in the form of small interfering RNAs (siRNAs).
Experiments showed the system can halt the proliferation of cyclin D1 in both animal models and samples from MCL patients.
Dan Peer, PhD, of Tel Aviv University in Israel, and his colleagues reported these results in PNAS.
“MCL has a genetic hallmark,” Dr Peer noted. “In 85% of cases, the characteristic that defines this aggressive and prototypic B-cell lymphoma is the heightened activity of the gene CCND1, which leads to the extreme overexpression—a 3000- to 15,000-fold increase—of cyclin D1, a protein that controls the proliferation of cells. Downregulation of cyclin D1 using siRNAs is a potential therapeutic approach to this malignancy.”
For this research, Dr Peer and his colleagues designed lipid-based nanoparticles (LNPs) coated with anti-CD38 monoclonal antibodies that were taken up by human MCL cells in the bone marrow of affected mice.
When loaded with siRNAs against cyclin D1, the targeting LNPs induced gene silencing in MCL cells and prolonged the survival of tumor-bearing mice, with no observed adverse effects.
“In MCL, cyclin D1 is the exclusive cause of the overproduction of B lymphocytes, the cells responsible for generating antibodies,” Dr Peer said. “This makes the protein a perfect target for RNA therapy by siRNAs.”
“Normal, healthy cells don’t express the gene, so therapies that destroy the gene will only attack cancer cells. The RNA interference we have developed targets the faulty cyclin D1 within the cancerous cells. And when the cells are inhibited from proliferating, they sense they are being targeted and begin to die off.”
Dr Peer and his colleagues believe this work presents new opportunities for treating MCL and other similar B-cell malignancies.
“This research makes a definite contribution to the revolution of personalized medicine, whereby you tailor the drug based on the genetic profile of patient,” Dr Peer said. “In this case, MCL is a disease with a specific genetic hallmark, so you can sequence the patient to identify the mutation(s) and design RNA blockers to be placed inside a nanovehicle.”
“While the targeting antibodies—the ‘GPS’—can be used to target many different B-cell malignancies, the drug itself is designed to silence this specific disease. However, the delivery system can be used to accommodate any disease with a genetic profile. This could be the future. We are seeing it happen before our very eyes.”
Researchers say they have developed a system for delivering therapy at the site of mantle cell lymphoma (MCL).
The system harnesses nanoparticles coated with “GPS” antibodies that navigate toward cancerous cells, where they offload cyclin D1-blockers in the form of small interfering RNAs (siRNAs).
Experiments showed the system can halt the proliferation of cyclin D1 in both animal models and samples from MCL patients.
Dan Peer, PhD, of Tel Aviv University in Israel, and his colleagues reported these results in PNAS.
“MCL has a genetic hallmark,” Dr Peer noted. “In 85% of cases, the characteristic that defines this aggressive and prototypic B-cell lymphoma is the heightened activity of the gene CCND1, which leads to the extreme overexpression—a 3000- to 15,000-fold increase—of cyclin D1, a protein that controls the proliferation of cells. Downregulation of cyclin D1 using siRNAs is a potential therapeutic approach to this malignancy.”
For this research, Dr Peer and his colleagues designed lipid-based nanoparticles (LNPs) coated with anti-CD38 monoclonal antibodies that were taken up by human MCL cells in the bone marrow of affected mice.
When loaded with siRNAs against cyclin D1, the targeting LNPs induced gene silencing in MCL cells and prolonged the survival of tumor-bearing mice, with no observed adverse effects.
“In MCL, cyclin D1 is the exclusive cause of the overproduction of B lymphocytes, the cells responsible for generating antibodies,” Dr Peer said. “This makes the protein a perfect target for RNA therapy by siRNAs.”
“Normal, healthy cells don’t express the gene, so therapies that destroy the gene will only attack cancer cells. The RNA interference we have developed targets the faulty cyclin D1 within the cancerous cells. And when the cells are inhibited from proliferating, they sense they are being targeted and begin to die off.”
Dr Peer and his colleagues believe this work presents new opportunities for treating MCL and other similar B-cell malignancies.
“This research makes a definite contribution to the revolution of personalized medicine, whereby you tailor the drug based on the genetic profile of patient,” Dr Peer said. “In this case, MCL is a disease with a specific genetic hallmark, so you can sequence the patient to identify the mutation(s) and design RNA blockers to be placed inside a nanovehicle.”
“While the targeting antibodies—the ‘GPS’—can be used to target many different B-cell malignancies, the drug itself is designed to silence this specific disease. However, the delivery system can be used to accommodate any disease with a genetic profile. This could be the future. We are seeing it happen before our very eyes.”
Researchers say they have developed a system for delivering therapy at the site of mantle cell lymphoma (MCL).
The system harnesses nanoparticles coated with “GPS” antibodies that navigate toward cancerous cells, where they offload cyclin D1-blockers in the form of small interfering RNAs (siRNAs).
Experiments showed the system can halt the proliferation of cyclin D1 in both animal models and samples from MCL patients.
Dan Peer, PhD, of Tel Aviv University in Israel, and his colleagues reported these results in PNAS.
“MCL has a genetic hallmark,” Dr Peer noted. “In 85% of cases, the characteristic that defines this aggressive and prototypic B-cell lymphoma is the heightened activity of the gene CCND1, which leads to the extreme overexpression—a 3000- to 15,000-fold increase—of cyclin D1, a protein that controls the proliferation of cells. Downregulation of cyclin D1 using siRNAs is a potential therapeutic approach to this malignancy.”
For this research, Dr Peer and his colleagues designed lipid-based nanoparticles (LNPs) coated with anti-CD38 monoclonal antibodies that were taken up by human MCL cells in the bone marrow of affected mice.
When loaded with siRNAs against cyclin D1, the targeting LNPs induced gene silencing in MCL cells and prolonged the survival of tumor-bearing mice, with no observed adverse effects.
“In MCL, cyclin D1 is the exclusive cause of the overproduction of B lymphocytes, the cells responsible for generating antibodies,” Dr Peer said. “This makes the protein a perfect target for RNA therapy by siRNAs.”
“Normal, healthy cells don’t express the gene, so therapies that destroy the gene will only attack cancer cells. The RNA interference we have developed targets the faulty cyclin D1 within the cancerous cells. And when the cells are inhibited from proliferating, they sense they are being targeted and begin to die off.”
Dr Peer and his colleagues believe this work presents new opportunities for treating MCL and other similar B-cell malignancies.
“This research makes a definite contribution to the revolution of personalized medicine, whereby you tailor the drug based on the genetic profile of patient,” Dr Peer said. “In this case, MCL is a disease with a specific genetic hallmark, so you can sequence the patient to identify the mutation(s) and design RNA blockers to be placed inside a nanovehicle.”
“While the targeting antibodies—the ‘GPS’—can be used to target many different B-cell malignancies, the drug itself is designed to silence this specific disease. However, the delivery system can be used to accommodate any disease with a genetic profile. This could be the future. We are seeing it happen before our very eyes.”
Paste may reduce radiation-induced fibrosis
woman for radiation
Photo by Rhoda Baer
A topical paste can reduce fibrosis caused by radiation therapy, according to preclinical research published in The FASEB Journal.
The study addressed a type of fibrosis called radiation dermatitis, in which radiation applied to the skin causes the buildup of fibrotic tissue and skin thickening.
To test their topical paste, researchers mimicked the development of radiation dermatitis in mice.
They exposed the mice’s skin to a single dose of 40 Gy, an amount of radiation similar to what patients undergoing anticancer radiation typically receive over 5 weeks.
Some of the irradiated animals were wild-type mice, while others were genetically engineered to lack the A2A receptor (A2AR). The researchers had previously shown that occupancy of A2AR induces collagen production.
The wild-type mice went on to receive placebo or daily treatment with ZM241385, a paste made with the research team’s patented A2AR blocker. The paste contains 2.5 milligrams of active ingredient per milliliter of 3% carboxymethyl cellulose, a gum “binder.”
A month after exposure, wild-type mice that received placebo had a nearly 2-fold increase in the amount of collagen and skin thickness. These mice also experienced epithelial hyperplasia.
On the other hand, mice treated with ZM241385 accumulated only 10% more skin-thickening collagen. ZM241385 treatment reduced the number of myofibroblasts, collagen fibrils, proliferating keratinocytes, and angiogenesis when compared to placebo. And the paste prevented epithelial hyperplasia.
Like ZM241385-treated mice, A2AR knockout mice did not have the excessive collagen production and skin thickening observed in placebo-treated wild-type mice. The knockout mice also exhibited reductions in myofibroblast content, angiogenesis, and epithelial hyperplasia.
The researchers noted that radiation-induced changes in the dermis and epidermis were accompanied by an infiltrate of T cells, which was prevented in both ZM241385-treated and A2AR knockout mice.
“Our latest study is the first to demonstrate that blocking or deleting the A2A receptor can be useful in reducing radiation-induced scarring in skin,” said study author Bruce Cronstein, MD, of New York University School of Medicine in New York, New York.
“The study also suggests that adenosine A2A receptor antagonists may have broad applications as drug therapies for preventing fibrosis and scarring, not just in the liver but also in the skin.”
If further experiments prove successful, Dr Cronstein said, clinicians treating early stage cancers with radiation could eventually prescribe an A2AR inhibitor paste to prevent fibrosis. He said his team next plans to study the mechanism underlying A2AR’s role in fibrosis.
woman for radiation
Photo by Rhoda Baer
A topical paste can reduce fibrosis caused by radiation therapy, according to preclinical research published in The FASEB Journal.
The study addressed a type of fibrosis called radiation dermatitis, in which radiation applied to the skin causes the buildup of fibrotic tissue and skin thickening.
To test their topical paste, researchers mimicked the development of radiation dermatitis in mice.
They exposed the mice’s skin to a single dose of 40 Gy, an amount of radiation similar to what patients undergoing anticancer radiation typically receive over 5 weeks.
Some of the irradiated animals were wild-type mice, while others were genetically engineered to lack the A2A receptor (A2AR). The researchers had previously shown that occupancy of A2AR induces collagen production.
The wild-type mice went on to receive placebo or daily treatment with ZM241385, a paste made with the research team’s patented A2AR blocker. The paste contains 2.5 milligrams of active ingredient per milliliter of 3% carboxymethyl cellulose, a gum “binder.”
A month after exposure, wild-type mice that received placebo had a nearly 2-fold increase in the amount of collagen and skin thickness. These mice also experienced epithelial hyperplasia.
On the other hand, mice treated with ZM241385 accumulated only 10% more skin-thickening collagen. ZM241385 treatment reduced the number of myofibroblasts, collagen fibrils, proliferating keratinocytes, and angiogenesis when compared to placebo. And the paste prevented epithelial hyperplasia.
Like ZM241385-treated mice, A2AR knockout mice did not have the excessive collagen production and skin thickening observed in placebo-treated wild-type mice. The knockout mice also exhibited reductions in myofibroblast content, angiogenesis, and epithelial hyperplasia.
The researchers noted that radiation-induced changes in the dermis and epidermis were accompanied by an infiltrate of T cells, which was prevented in both ZM241385-treated and A2AR knockout mice.
“Our latest study is the first to demonstrate that blocking or deleting the A2A receptor can be useful in reducing radiation-induced scarring in skin,” said study author Bruce Cronstein, MD, of New York University School of Medicine in New York, New York.
“The study also suggests that adenosine A2A receptor antagonists may have broad applications as drug therapies for preventing fibrosis and scarring, not just in the liver but also in the skin.”
If further experiments prove successful, Dr Cronstein said, clinicians treating early stage cancers with radiation could eventually prescribe an A2AR inhibitor paste to prevent fibrosis. He said his team next plans to study the mechanism underlying A2AR’s role in fibrosis.
woman for radiation
Photo by Rhoda Baer
A topical paste can reduce fibrosis caused by radiation therapy, according to preclinical research published in The FASEB Journal.
The study addressed a type of fibrosis called radiation dermatitis, in which radiation applied to the skin causes the buildup of fibrotic tissue and skin thickening.
To test their topical paste, researchers mimicked the development of radiation dermatitis in mice.
They exposed the mice’s skin to a single dose of 40 Gy, an amount of radiation similar to what patients undergoing anticancer radiation typically receive over 5 weeks.
Some of the irradiated animals were wild-type mice, while others were genetically engineered to lack the A2A receptor (A2AR). The researchers had previously shown that occupancy of A2AR induces collagen production.
The wild-type mice went on to receive placebo or daily treatment with ZM241385, a paste made with the research team’s patented A2AR blocker. The paste contains 2.5 milligrams of active ingredient per milliliter of 3% carboxymethyl cellulose, a gum “binder.”
A month after exposure, wild-type mice that received placebo had a nearly 2-fold increase in the amount of collagen and skin thickness. These mice also experienced epithelial hyperplasia.
On the other hand, mice treated with ZM241385 accumulated only 10% more skin-thickening collagen. ZM241385 treatment reduced the number of myofibroblasts, collagen fibrils, proliferating keratinocytes, and angiogenesis when compared to placebo. And the paste prevented epithelial hyperplasia.
Like ZM241385-treated mice, A2AR knockout mice did not have the excessive collagen production and skin thickening observed in placebo-treated wild-type mice. The knockout mice also exhibited reductions in myofibroblast content, angiogenesis, and epithelial hyperplasia.
The researchers noted that radiation-induced changes in the dermis and epidermis were accompanied by an infiltrate of T cells, which was prevented in both ZM241385-treated and A2AR knockout mice.
“Our latest study is the first to demonstrate that blocking or deleting the A2A receptor can be useful in reducing radiation-induced scarring in skin,” said study author Bruce Cronstein, MD, of New York University School of Medicine in New York, New York.
“The study also suggests that adenosine A2A receptor antagonists may have broad applications as drug therapies for preventing fibrosis and scarring, not just in the liver but also in the skin.”
If further experiments prove successful, Dr Cronstein said, clinicians treating early stage cancers with radiation could eventually prescribe an A2AR inhibitor paste to prevent fibrosis. He said his team next plans to study the mechanism underlying A2AR’s role in fibrosis.
Why cancer cells thrive when blood sugar is high
Photo by Andre Karwath
New research has revealed a mechanism that allows cancer cells to respond and grow rapidly when blood sugar levels rise.
This may help to explain why people who develop conditions in which they have chronically high blood sugar levels, such as obesity, also have an increased risk of developing certain cancers.
Susumu Hirabayashi, PhD, of Imperial College London in the UK, and Ross Cagan, PhD, of Mount Sinai Hospital in New York, New York, described the mechanism in eLife.
In a study published 2 years ago, the pair engineered fruit flies (Drosophila melanogaster) to activate the genes Ras and Src, which are activated in a range of malignancies.
The researchers activated Ras and Src in the flies’ developing eye tissue. Flies that were fed a normal diet grew small, benign tumors. But when flies were fed a high-sugar diet, they developed large, malignant tumors.
In flies fed a high-sugar diet, the normal cells became insulin-resistant, but the tumor cells didn’t. The tumor cells actually became more sensitive to insulin because they turned on a metabolic switch that triggered them to produce extra receptors for insulin. But this study did not explain how the tumor cells turned on this metabolic switch.
Now, after studying the same flies in more detail, Drs Hirabayashi and Cagan have found the tumor cells detect glucose availability indirectly, through a protein called salt-inducible kinase (SIK). When glucose levels are high, SIK sends a signal along the Hippo signaling pathway.
The Hippo signaling pathway is known to play a role in controlling cell growth. When it’s turned on, it keeps cell growth under control, but if it’s turned off, the cell can continue growing and may ultimately develop into a tumor.
Drs Hirabayashi and Cagan found that SIK acts like a sugar sensor, turning the Hippo signaling pathway off in response to raised glucose levels. This allows the tumor cells to continue to grow.
“Ras and Src co-activated tumors use SIK to sense that there’s lots of glucose available outside of their cells and to tell the cells to take advantage of that,” Dr Hirabayashi said. “Together, Ras and Src co-activated tumors use SIK to efficiently respond to glucose availability and ensure the tumors grow in nutrient-rich conditions such as obesity. We still don’t know if tumors caused by other genes respond to sugar in the same way.”
“Our results suggest that if we can develop drugs to target SIK, and stop it from alerting cancer cells in this way, then we may be able to stop cancer cells from thriving in an insulin-resistant environment and break the connection between obesity and cancer.”
Photo by Andre Karwath
New research has revealed a mechanism that allows cancer cells to respond and grow rapidly when blood sugar levels rise.
This may help to explain why people who develop conditions in which they have chronically high blood sugar levels, such as obesity, also have an increased risk of developing certain cancers.
Susumu Hirabayashi, PhD, of Imperial College London in the UK, and Ross Cagan, PhD, of Mount Sinai Hospital in New York, New York, described the mechanism in eLife.
In a study published 2 years ago, the pair engineered fruit flies (Drosophila melanogaster) to activate the genes Ras and Src, which are activated in a range of malignancies.
The researchers activated Ras and Src in the flies’ developing eye tissue. Flies that were fed a normal diet grew small, benign tumors. But when flies were fed a high-sugar diet, they developed large, malignant tumors.
In flies fed a high-sugar diet, the normal cells became insulin-resistant, but the tumor cells didn’t. The tumor cells actually became more sensitive to insulin because they turned on a metabolic switch that triggered them to produce extra receptors for insulin. But this study did not explain how the tumor cells turned on this metabolic switch.
Now, after studying the same flies in more detail, Drs Hirabayashi and Cagan have found the tumor cells detect glucose availability indirectly, through a protein called salt-inducible kinase (SIK). When glucose levels are high, SIK sends a signal along the Hippo signaling pathway.
The Hippo signaling pathway is known to play a role in controlling cell growth. When it’s turned on, it keeps cell growth under control, but if it’s turned off, the cell can continue growing and may ultimately develop into a tumor.
Drs Hirabayashi and Cagan found that SIK acts like a sugar sensor, turning the Hippo signaling pathway off in response to raised glucose levels. This allows the tumor cells to continue to grow.
“Ras and Src co-activated tumors use SIK to sense that there’s lots of glucose available outside of their cells and to tell the cells to take advantage of that,” Dr Hirabayashi said. “Together, Ras and Src co-activated tumors use SIK to efficiently respond to glucose availability and ensure the tumors grow in nutrient-rich conditions such as obesity. We still don’t know if tumors caused by other genes respond to sugar in the same way.”
“Our results suggest that if we can develop drugs to target SIK, and stop it from alerting cancer cells in this way, then we may be able to stop cancer cells from thriving in an insulin-resistant environment and break the connection between obesity and cancer.”
Photo by Andre Karwath
New research has revealed a mechanism that allows cancer cells to respond and grow rapidly when blood sugar levels rise.
This may help to explain why people who develop conditions in which they have chronically high blood sugar levels, such as obesity, also have an increased risk of developing certain cancers.
Susumu Hirabayashi, PhD, of Imperial College London in the UK, and Ross Cagan, PhD, of Mount Sinai Hospital in New York, New York, described the mechanism in eLife.
In a study published 2 years ago, the pair engineered fruit flies (Drosophila melanogaster) to activate the genes Ras and Src, which are activated in a range of malignancies.
The researchers activated Ras and Src in the flies’ developing eye tissue. Flies that were fed a normal diet grew small, benign tumors. But when flies were fed a high-sugar diet, they developed large, malignant tumors.
In flies fed a high-sugar diet, the normal cells became insulin-resistant, but the tumor cells didn’t. The tumor cells actually became more sensitive to insulin because they turned on a metabolic switch that triggered them to produce extra receptors for insulin. But this study did not explain how the tumor cells turned on this metabolic switch.
Now, after studying the same flies in more detail, Drs Hirabayashi and Cagan have found the tumor cells detect glucose availability indirectly, through a protein called salt-inducible kinase (SIK). When glucose levels are high, SIK sends a signal along the Hippo signaling pathway.
The Hippo signaling pathway is known to play a role in controlling cell growth. When it’s turned on, it keeps cell growth under control, but if it’s turned off, the cell can continue growing and may ultimately develop into a tumor.
Drs Hirabayashi and Cagan found that SIK acts like a sugar sensor, turning the Hippo signaling pathway off in response to raised glucose levels. This allows the tumor cells to continue to grow.
“Ras and Src co-activated tumors use SIK to sense that there’s lots of glucose available outside of their cells and to tell the cells to take advantage of that,” Dr Hirabayashi said. “Together, Ras and Src co-activated tumors use SIK to efficiently respond to glucose availability and ensure the tumors grow in nutrient-rich conditions such as obesity. We still don’t know if tumors caused by other genes respond to sugar in the same way.”
“Our results suggest that if we can develop drugs to target SIK, and stop it from alerting cancer cells in this way, then we may be able to stop cancer cells from thriving in an insulin-resistant environment and break the connection between obesity and cancer.”
Attending Workload, Teaching, and Safety
Teaching attending physicians must balance clinical workload and resident education simultaneously while supervising inpatient services. The workload of teaching attendings has been increasing due to many factors. As patient complexity has increased, length of stay has decreased, creating higher turnover and higher acuity of hospitalized patients.[1, 2, 3, 4, 5] The rising burden of clinical documentation has increased demands on inpatient attending physicians' time.[6] Additionally, resident duty hour restrictions have shifted the responsibility for patient care to the teaching attending.[7] These factors contribute to the perception of unsafe workloads among attending physicians[8] and could impact the ability to teach well.
Teaching effectiveness is an important facet of the graduate medical education (GME) learning environment.[9] Residents perceive that education suffers when their own workload increases,[10, 11, 12, 13, 14] and higher on‐call workload is associated with lower likelihood of participation in educational activities.[15] More contact between resident trainees and supervisory staff may improve the clinical value of inpatient rotations.[16] Program directors have expressed concern about the educational ramifications of work compression.[17, 18, 19, 20] Higher workload for attending physicians can negatively impact patient safety and quality of care,[21, 22] and perception of higher attending workload is associated with less time for teaching.[23] However, the impact of objective measures of attending physician workload on educational outcomes has not been explored. When attending physicians are responsible for increasingly complex clinical care in addition to resident education, teaching effectiveness may suffer. With growing emphasis on the educational environment's effect on healthcare quality and safety,[24] it is imperative to consider the influence of attending workload on patient care and resident education.
The combination of increasing clinical demands, fewer hours in‐house for residents, and less time for teaching has the potential to decrease attending physician teaching effectiveness. In this study, we aimed to evaluate relationships among objective measures of attending physician workload, resident perception of teaching effectiveness, and patient outcomes. We hypothesized that higher workload for attending physicians would be associated with lower ratings of teaching effectiveness and poorer outcomes for patients.
METHODS
We performed a retrospective study of attending physicians who supervised inpatient internal medicine teaching services at Mayo ClinicRochester from July 2005 through June 2011 (6 full academic years). The team structure for each service was 1 attending physician, 1 senior resident, and 3 interns. Senior residents were on call every fourth night, and interns were on call every sixth night. Up to 2 admissions per service were received during the daytime short call, and up to 5 admissions per service were received during the overnight long call. Attending physicians included all supervising physicians in appointment categories of attending/consultant, senior associate consultant, and chief medical resident at the Mayo Clinic. Maximum continuous on‐call time for residents during the study period was restricted to 30 hours continuously. The timeframe of this study was chosen to minimize variability in resident work schedules; effective July 1, 2011, duty hours for postgraduate year 1 residents were further restricted to a maximum of 16 hours in duration.[25]
Measures of Attending Physician Workload
To measure attending physician workload, we examined mean service census as reported at midnight, mean patient length of stay, mean number of daily admissions, and mean number of daily discharges. We also calculated mean daily outpatient relative value units (RVUs) generated as a measure of outpatient workload while the attending was supervising the inpatient service. Similar measures of workload have been used in previous research.[26] Attending physicians in this study functioned as hospitalists during their time supervising the teaching services; that is, they were not routinely assigned to any outpatient responsibilities. The only way for an outpatient RVU to be generated during their time supervising the hospital service was for the attending physician to specifically request to see an outpatient in the clinic. Attending physicians only supervised 1 teaching service at a time and had no concurrent nonteaching service obligations. Admissions were received on a rotating basis. Because patient illness severity may impact workload, we also examined mean expected mortality (per 1000 patients) for all patients on the attending physicians' hospital services.[27]
The above workload variables were measured in the specific timeframe that corresponded to the number of days an attending physician was supervising a particular team; for example, mean census was the mean number of patients on the attending physician's hospital service during his or her time supervising that resident team.
Teaching Effectiveness Outcome Measures
Teaching effectiveness was measured using residents' evaluations of their attending physicians with a 5‐point scale (1 = needs improvement, 3 = average, 5 = top 10% of attending physicians) that has been previously validated in similar contexts.[28, 29, 30, 31, 32] The evaluation questions are shown in Supporting Information, Appendix A, in the online version of this article.
Patient Outcome Measures
Patient outcomes included applicable patient safety indicators (PSIs) as defined by the Agency for Healthcare Research and Quality[33] (see Supporting Information, Appendix B, in the online version of this article), patient transfers to the intensive care unit (ICU), calls to the rapid response team/cardiopulmonary resuscitation team, and patient deaths. Each indicator and event was summarized as occurred or did not occur at the service‐team level. For example, for a particular attendingresident team, the occurrence of each of these events at any point during the time they worked together was recorded as occurred (1) or did not occur (0). Similar measures of patient outcomes have been used in previous research.[32]
Statistical Analysis
Mixed linear models with variance components covariance structure (including random effects to account for repeated ratings by residents and of faculty) were fit using restricted maximum likelihood to examine associations of attending workload and demographics with teaching scores. Generalized linear regression models, estimated via generalized estimating equations, were used to examine associations of attending workload and demographics with patient outcomes. Due to the binary nature of the outcomes, the binomial distribution and logit link function were used, producing odds ratios (ORs) for covariates akin to those found in standard logistic regression. Multivariate models were used to adjust for physician demographics including age, gender, teaching appointment (consultant, senior associate consultant/temporary clinical appointment, or chief medical resident) and academic rank (professor, associate professor, assistant professor, instructor/none).
To account for multiple comparisons, a significance level of P < 0.01 was used. All analyses were performed using SAS statistical software (version 9.3; SAS Institute Inc., Cary, NC). This study was deemed minimal risk after review by the Mayo Clinic Institutional Review Board.
RESULTS
Over the 6‐year study period, 107 attending physicians supervised internal medicine teaching services. Twenty‐three percent of teaching attending physicians were female. Mean attending age was 42.6 years. Attendings supervised a given service for between 2 and 19 days (mean [standard deviation] = 10.1 [4.1] days). There were 542 internal medicine residents on these teaching services who completed at least 1 teaching evaluation. A total of 69,386 teaching evaluation items were submitted by these residents during the study period.
In a multivariate analysis adjusted for faculty demographics and workload measures, teaching evaluation scores were significantly higher for attending physicians who had an academic rank of professor when compared to attendings who were assistant professors ( = 0.12, P = 0.007), or instructors/no academic rank ( = 0.23, P < 0.0001). The number of days an attending physician spent with the team showed a positive association with teaching evaluations ( = +0.015, P < 0.0001).
Associations between measures of attending physician workload and teaching evaluation scores are shown in Table 1. Mean midnight census and mean number of daily discharges were associated with lower teaching evaluation scores (both = 0.026, P < 0.0001). Mean number of daily admissions was associated with higher teaching scores ( = +0.021, P = 0.001). The mean expected mortality among hospitalized patients on the services supervised by teaching attendings and the outpatient RVUs generated by these attendings during the time they were supervising the hospital service showed no association with teaching scores. The average number of RVUs generated during an attending's entire time supervising hospital service was <1.
Attending Physician Workload Measure | Mean (SD) | Multivariate Analysis* | |||
---|---|---|---|---|---|
SE | 99% CI | P | |||
| |||||
Midnight census | 8.86 (1.8) | 0.026 | 0.002 | (0.03, 0.02) | <0.0001 |
Length of stay, d | 6.91 (3.0) | +0.006 | 0.001 | (0.002, 0.009) | <0.0001 |
Expected mortality (per 1,000 patients) | 51.94 (27.4) | 0.0001 | 0.0001 | (0.0004, 0.0001) | 0.19 |
Daily admissions | 2.23 (0.54) | +0.021 | 0.006 | (0.004, 0.037) | 0.001 |
Daily discharges | 2.13 (0.56) | 0.026 | 0.006 | (0.041, 0.010) | <0.0001 |
Daily outpatient relative value units | 0.69 (1.2) | +0.004 | 0.003 | (0.002, 0.011) | 0.10 |
Table 2 shows relationships between attending physician workload and patient outcomes for the patients on hospital services supervised by 107 attending physicians during the study period. Patient outcome data showed positive associations between measures of higher workload and PSIs. Specifically, for each 1‐patient increase in the average number of daily admissions to the attending and resident services, the cohort of patients under the team's care was 1.8 times more likely to include at least 1 patient with a PSI event (OR = 1.81, 99% confidence interval [CI]: 1.21, 2.71, P = 0.0001). Likewise, for each 1‐day increase in average length of stay, the cohort of patients under the team's care was 1.16 times more likely to have at least 1 patient with a PSI (OR = 1.16, 99% CI: 1.07, 1.26, P < 0.0001). As anticipated, mean expected mortality was associated with actual mortality, cardiopulmonary resuscitation/rapid response team calls, and ICU transfers. There were no associations between patient outcomes and workload measures of midnight census and outpatient RVUs.
Patient Outcomes, Multivariate Analysis* | ||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Patient Safety Indicators, n = 513 | Deaths, n = 352 | CPR/RRT Calls, n = 409 | ICU Transfers, n = 737 | |||||||||||||
Workload measures | OR | SE | P | 99% CI | OR | SE | P | 99% CI | OR | SE | P | 99% CI | OR | SE | P | 99% CI |
| ||||||||||||||||
Midnight census | 1.10 | 0.05 | 0.04 | (0.98, 1.24) | 0.91 | 0.04 | 0.03 | (0.81, 1.02) | 0.95 | 0.04 | 0.16 | (0.86, 1.05) | 1.06 | 0.04 | 0.16 | (0.96, 1.17) |
Length of stay | 1.16 | 0.04 | <0.0001 | (1.07, 1.26) | 1.03 | 0.03 | 0.39 | (0.95, 1.12) | 0.99 | 0.03 | 0.63 | (0.92, 1.05) | 1.10 | 0.03 | 0.0001 | (1.03, 1.18) |
Expected mortality (per 1,000 patients) | 1.00 | 0.003 | 0.24 | (0.99, 1.01) | 1.01 | 0.00 | 0.002 | (1.00, 1.02) | 1.02 | 0.00 | <0.0001 | (1.01, 1.02) | 1.01 | 0.00 | 0.003 | (1.00, 1.01) |
Daily admissions | 1.81 | 0.28 | 0.0001 | (1.21, 2.71) | 0.78 | 0.14 | 0.16 | (0.49, 1.24) | 1.11 | 0.20 | 0.57 | (0.69, 1.77) | 1.34 | 0.24 | 0.09 | (0.85, 2.11) |
Daily discharges | 1.06 | 0.13 | 0.61 | (0.78, 1.45) | 2.36 | 0.38 | <0.0001 | (1.56, 3.57) | 0.94 | 0.16 | 0.70 | (0.60, 1.46) | 1.09 | 0.16 | 0.53 | (0.75, 1.60) |
Daily outpatient relative value units | 0.81 | 0.07 | 0.01 | (0.65, 1.00) | 1.02 | 0.04 | 0.56 | (0.92, 1.13) | 1.05 | 0.04 | 0.23 | (0.95, 1.17) | 0.92 | 0.06 | 0.23 | (0.77, 1.09) |
DISCUSSION
This study of internal medicine attending physician workload and resident education demonstrates that higher workload among attending physicians is associated with slightly lower teaching evaluation scores from residents as well as increased risks to patient safety.
The prior literature examining relationships between workload and teaching effectiveness is largely survey‐based and reliant upon physicians' self‐reported perceptions of workload.[10, 13, 23] The present study strengthens this evidence by using multiple objective measures of workload, objective measures of patient safety, and a large sample of teaching evaluations.
An interesting finding in this study was that the number of patient dismissals per day was associated with a significant decrease in teaching scores, whereas the number of admissions per day was associated with increased teaching scores. These findings may seem contradictory, because the number of admissions and discharges both measure physician workload. However, a likely explanation for this apparent inconsistency is that on internal medicine inpatient teaching services, much of the teaching of residents occurs at the time of a patient admission as residents are presenting cases to the attending physician, exploring differential diagnoses, and discussing management plans. By contrast, a patient dismissal tends to consist mainly of patient interaction, paperwork, and phone calls by the resident with less input required from the attending physician. Our findings suggest that although patient admissions remain a rich opportunity for resident education, patient dismissals may increase workload without improving teaching evaluations. As the inpatient hospital environment evolves, exploring options for nonphysician providers to assist with or complete patient dismissals may have a beneficial effect on resident education.[34] In addition, exploring more efficient teaching strategies may be beneficial in the fast‐paced inpatient learning milieu.[35]
There was a statistically significant positive association between the number of days an attending physician spent with the team and teaching evaluations. Although prior work has examined advantages and disadvantages of various resident schedules,[36, 37, 38] our results suggest scheduling models that emphasize continuity of the teaching attending and residents may be preferred to enhance teaching effectiveness. Further study would help elucidate potential implications of this finding for the scheduling of supervisory attendings to optimize education.
In this analysis, patient outcome measures were largely independent of attending physician workload, with the exception of PSIs. PSIs have been associated with longer stays in the hospital,[39, 40] which is consistent with our findings. However, mean daily admissions were also associated with PSIs. It could be expected that the more patients on a hospital service, the more PSIs will result. However, there was not a significant association between midnight census and PSIs when other variables were accounted for. Because new patient admissions are time consuming and contribute to the workload of both residents and attending physicians, it is possible that safety of the service's hospitalized patients is compromised when the team is putting time and effort toward new patients. Previous research has shown variability in PSI trends with changes in the workload environment.[41] Further studies are needed to fully explore relationships between admission volume and PSIs on teaching services.
It is worthwhile to note that attending physicians have specific responsibilities of supervision and documentation for new admissions. Although it could be argued that new admissions raise the workload for the entire team, and the higher team workload may impact teaching evaluations, previous research has demonstrated that resident burnout and well‐being, which are influenced by workload, do not impact residents' assessments of teachers.[42] In addition, metrics that could arguably be more apt to measure the workload of the team as a whole (eg, team census) did not show a significant association with patient outcomes.
This study has important limitations. First, the cohort of attending physicians, residents, and patients was from a large single institution and may not be generalizable to all settings. Second, most attending physicians in this sample were experienced teachers, so consequences of increased workload may have been managed effectively without a major impact on resident education in some cases. Third, the magnitude of change in teaching effectiveness, although statistically significant, was small and might call into question the educational significance of these findings. Fourth, although resident satisfaction does not influence teaching scores, it is possible that residents' perception of their own workload may have impacted teaching evaluations. Finally, data collection was intentionally closed at the end of the 2011 academic year because accreditation standards for resident duty hours changed again at that time.[43] Thus, these data may not directly reflect the evolving hospital learning environment but serve as a useful benchmark for future studies of workload and teaching effectiveness in the inpatient setting. Once hospitals have had sufficient time and experience with the new duty hour standards, additional studies exploring relationships between workload, teaching effectiveness, and patient outcomes may be warranted.
Limitations notwithstanding, this study shows that attending physician workload may adversely impact teaching and patient safety on internal medicine hospital services. Ongoing efforts by residency programs to optimize the learning environment should include strategies to manage the workload of supervising attendings.
Disclosures
This publication was made possible in part by Clinical and Translational Science Award grant number UL1 TR000135 from the National Center for Advancing Translational Sciences, a component of the National Institutes of Health (NIH). Its contents are solely the responsibility of the authors and do not necessarily represent the official views of NIH. Authors also acknowledge support for the Mayo Clinic Department of Medicine Write‐up and Publish grant. In addition, this study was supported in part by the Mayo Clinic Internal Medicine Residency Office of Education Innovations as part of the Accreditation Council for Graduate Medical Education Educational Innovations Project. The information contained in this article was based in part on the performance package data maintained by the University HealthSystem Consortium. Copyright 2015 UHC. All rights reserved.
- The future of residents' education in internal medicine. Am J Med. 2004;116(9):648–650. , , .
- Redesigning residency education in internal medicine: a position paper from the Association of Program Directors in Internal Medicine. Ann Intern Med. 2006;144(12):920–926. , , , , .
- Residency training in the modern era: the pipe dream of less time to learn more, care better, and be more professional. Arch Intern Med. 2005;165(22):2561–2562. , , .
- Trends in Hospitalizations Among Medicare Survivors of Aortic Valve Replacement in the United States From 1999 to 2010. Ann Thorac Surg. 2015;99(2):509–517. , , , et al.
- Restructuring an inpatient resident service to improve outcomes for residents, students, and patients. Acad Med. 2011;86(12):1500–1507. , , .
- Clinical documentation in the 21st century: executive summary of a policy position paper from the American College of Physicians. Ann Intern Med. 2015;162(4):301–303. , , , .
- Effect of ACGME duty hours on attending physician teaching and satisfaction. Arch Intern Med. 2008;168(11):1226–1228. , .
- Identifying potential predictors of a safe attending physician workload: a survey of hospitalists. J Hosp Med. 2013;8(11):644–646. , , , , .
- The clinical learning environment: the foundation of graduate medical education. JAMA. 2013;309(16):1687–1688. , , .
- Better rested, but more stressed? Evidence of the effects of resident work hour restrictions. Acad Pediatr. 2012;12(4):335–343. , , , , , .
- Multifaceted longitudinal study of surgical resident education, quality of life, and patient care before and after July 2011. J Surg Educ. 2013;70(6):769–776. , , , .
- Impact of the new 16‐hour duty period on pediatric interns' neonatal education. Clin Pediatr (Phila). 2014;53(1):51–59. , , .
- Relationship between resident workload and self‐perceived learning on inpatient medicine wards: a longitudinal study. BMC Med Educ. 2006;6:35. , , , , , .
- Perceptions of educational experience and inpatient workload among pediatric residents. Hosp Pediatr. 2013;3(3):276–284. , , , .
- Association of workload of on‐call medical interns with on‐call sleep duration, shift duration, and participation in educational activities. JAMA. 2008;300(10):1146–1153. , , , et al.
- Effects of increased overnight supervision on resident education, decision‐making, and autonomy. J Hosp Med. 2012;7(8):606–610. , , , , , .
- Approval and perceived impact of duty hour regulations: survey of pediatric program directors. Pediatrics. 2013;132(5):819–824. , , , , .
- Anticipated consequences of the 2011 duty hours standards: views of internal medicine and surgery program directors. Acad Med. 2012;87(7):895–903. , , , et al.
- Training on the clock: family medicine residency directors' responses to resident duty hours reform. Acad Med. 2006;81(12):1032–1037. , , , , .
- Duty hour recommendations and implications for meeting the ACGME core competencies: views of residency directors. Mayo Clin Proc. 2011;86(3):185–191. , , , et al.
- Does surgeon workload per day affect outcomes after pulmonary lobectomies? Ann Thorac Surg. 2012;94(3):966–973. , , , et al.
- Impact of attending physician workload on patient care: a survey of hospitalists. JAMA Intern Med. 2013;173(5):375–377. , , , .
- No time for teaching? Inpatient attending physicians' workload and teaching before and after the implementation of the 2003 duty hours regulations. Acad Med. 2013;88(9):1293–1298. , , , et al.
- Accreditation Council for Graduate Medical Education. Clinical Learning Environment Review (CLER) Program. Available at: http://www.acgme.org/acgmeweb/tabid/436/ProgramandInstitutionalAccreditation/NextAccreditationSystem/ClinicalLearningEnvironmentReviewProgram.aspx. Accessed April 27, 2015.
- Accreditation Council for Graduate Medical Education. Frequently Asked Questions: A ACGME common duty hour requirements. Available at: https://www.acgme.org/acgmeweb/Portals/0/PDFs/dh‐faqs 2011.pdf. Accessed April 27, 2015.
- Effect of hospitalist workload on the quality and efficiency of care. JAMA Intern Med. 2014;174(5):786–793. , , , , .
- University HealthSystem Consortium. UHC clinical database/resource manager for Mayo Clinic. Available at: http://www.uhc.edu. Data accessed August 25, 2011.
- The interpersonal, cognitive and efficiency domains of clinical teaching: construct validity of a multi‐dimensional scale. Med Educ. 2005;39(12):1221–1229. , .
- Factor instability of clinical teaching assessment scores among general internists and cardiologists. Med Educ. 2006;40(12):1209–1216. , , .
- Determining reliability of clinical assessment scores in real time. Teach Learn Med. 2009;21(3):188–194. , , , .
- Behaviors of highly professional resident physicians. JAMA. 2008;300(11):1326–1333. , , , , , .
- Service census caps and unit‐based admissions: resident workload, conference attendance, duty hour compliance, and patient safety. Mayo Clin Proc. 2012;87(4):320–327. , , , et al.
- Agency for Healthcare Research and Quality. Patient safety indicators technical specifications updates—Version 5.0, March 2015. Available at: http://www.qualityindicators.ahrq.gov/Modules/PSI_TechSpec.aspx. Accessed May 29, 2015.
- The impact of nonphysician clinicians: do they improve the quality and cost‐effectiveness of health care services? Med Care Res Rev. 2009;66(6 suppl):36S–89S. , , , , , .
- Maximizing teaching on the wards: review and application of the One‐Minute Preceptor and SNAPPS models. J Hosp Med. 2015;10(2):125–130. , , .
- Resident perceptions of the educational value of night float rotations. Teach Learn Med. 2010;22(3):196–201. , , , .
- An evaluation of internal medicine residency continuity clinic redesign to a 50/50 outpatient‐inpatient model. J Gen Intern Med. 2013;28(8):1014–1019. , , , , , .
- Revisiting the rotating call schedule in less than 80 hours per week. J Surg Educ. 2009;66(6):357–360. , , , et al.
- Excess length of stay, charges, and mortality attributable to medical injuries during hospitalization. JAMA. 2003;290(14):1868–1874. , .
- Agency for Healthcare Research and Quality patient safety indicators and mortality in surgical patients. Am Surg. 2014;80(8):801–804. , , , .
- Patient safety in the era of the 80‐hour workweek. J Surg Educ. 2014;71(4):551–559. , , , et al.
- Impact of resident well‐being and empathy on assessments of faculty physicians. J Gen Intern Med. 2010;25(1):52–56. , , , .
- Stress management training for surgeons‐a randomized, controlled, intervention study. Ann Surg. 2011;253(3):488–494. , , , et al.
Teaching attending physicians must balance clinical workload and resident education simultaneously while supervising inpatient services. The workload of teaching attendings has been increasing due to many factors. As patient complexity has increased, length of stay has decreased, creating higher turnover and higher acuity of hospitalized patients.[1, 2, 3, 4, 5] The rising burden of clinical documentation has increased demands on inpatient attending physicians' time.[6] Additionally, resident duty hour restrictions have shifted the responsibility for patient care to the teaching attending.[7] These factors contribute to the perception of unsafe workloads among attending physicians[8] and could impact the ability to teach well.
Teaching effectiveness is an important facet of the graduate medical education (GME) learning environment.[9] Residents perceive that education suffers when their own workload increases,[10, 11, 12, 13, 14] and higher on‐call workload is associated with lower likelihood of participation in educational activities.[15] More contact between resident trainees and supervisory staff may improve the clinical value of inpatient rotations.[16] Program directors have expressed concern about the educational ramifications of work compression.[17, 18, 19, 20] Higher workload for attending physicians can negatively impact patient safety and quality of care,[21, 22] and perception of higher attending workload is associated with less time for teaching.[23] However, the impact of objective measures of attending physician workload on educational outcomes has not been explored. When attending physicians are responsible for increasingly complex clinical care in addition to resident education, teaching effectiveness may suffer. With growing emphasis on the educational environment's effect on healthcare quality and safety,[24] it is imperative to consider the influence of attending workload on patient care and resident education.
The combination of increasing clinical demands, fewer hours in‐house for residents, and less time for teaching has the potential to decrease attending physician teaching effectiveness. In this study, we aimed to evaluate relationships among objective measures of attending physician workload, resident perception of teaching effectiveness, and patient outcomes. We hypothesized that higher workload for attending physicians would be associated with lower ratings of teaching effectiveness and poorer outcomes for patients.
METHODS
We performed a retrospective study of attending physicians who supervised inpatient internal medicine teaching services at Mayo ClinicRochester from July 2005 through June 2011 (6 full academic years). The team structure for each service was 1 attending physician, 1 senior resident, and 3 interns. Senior residents were on call every fourth night, and interns were on call every sixth night. Up to 2 admissions per service were received during the daytime short call, and up to 5 admissions per service were received during the overnight long call. Attending physicians included all supervising physicians in appointment categories of attending/consultant, senior associate consultant, and chief medical resident at the Mayo Clinic. Maximum continuous on‐call time for residents during the study period was restricted to 30 hours continuously. The timeframe of this study was chosen to minimize variability in resident work schedules; effective July 1, 2011, duty hours for postgraduate year 1 residents were further restricted to a maximum of 16 hours in duration.[25]
Measures of Attending Physician Workload
To measure attending physician workload, we examined mean service census as reported at midnight, mean patient length of stay, mean number of daily admissions, and mean number of daily discharges. We also calculated mean daily outpatient relative value units (RVUs) generated as a measure of outpatient workload while the attending was supervising the inpatient service. Similar measures of workload have been used in previous research.[26] Attending physicians in this study functioned as hospitalists during their time supervising the teaching services; that is, they were not routinely assigned to any outpatient responsibilities. The only way for an outpatient RVU to be generated during their time supervising the hospital service was for the attending physician to specifically request to see an outpatient in the clinic. Attending physicians only supervised 1 teaching service at a time and had no concurrent nonteaching service obligations. Admissions were received on a rotating basis. Because patient illness severity may impact workload, we also examined mean expected mortality (per 1000 patients) for all patients on the attending physicians' hospital services.[27]
The above workload variables were measured in the specific timeframe that corresponded to the number of days an attending physician was supervising a particular team; for example, mean census was the mean number of patients on the attending physician's hospital service during his or her time supervising that resident team.
Teaching Effectiveness Outcome Measures
Teaching effectiveness was measured using residents' evaluations of their attending physicians with a 5‐point scale (1 = needs improvement, 3 = average, 5 = top 10% of attending physicians) that has been previously validated in similar contexts.[28, 29, 30, 31, 32] The evaluation questions are shown in Supporting Information, Appendix A, in the online version of this article.
Patient Outcome Measures
Patient outcomes included applicable patient safety indicators (PSIs) as defined by the Agency for Healthcare Research and Quality[33] (see Supporting Information, Appendix B, in the online version of this article), patient transfers to the intensive care unit (ICU), calls to the rapid response team/cardiopulmonary resuscitation team, and patient deaths. Each indicator and event was summarized as occurred or did not occur at the service‐team level. For example, for a particular attendingresident team, the occurrence of each of these events at any point during the time they worked together was recorded as occurred (1) or did not occur (0). Similar measures of patient outcomes have been used in previous research.[32]
Statistical Analysis
Mixed linear models with variance components covariance structure (including random effects to account for repeated ratings by residents and of faculty) were fit using restricted maximum likelihood to examine associations of attending workload and demographics with teaching scores. Generalized linear regression models, estimated via generalized estimating equations, were used to examine associations of attending workload and demographics with patient outcomes. Due to the binary nature of the outcomes, the binomial distribution and logit link function were used, producing odds ratios (ORs) for covariates akin to those found in standard logistic regression. Multivariate models were used to adjust for physician demographics including age, gender, teaching appointment (consultant, senior associate consultant/temporary clinical appointment, or chief medical resident) and academic rank (professor, associate professor, assistant professor, instructor/none).
To account for multiple comparisons, a significance level of P < 0.01 was used. All analyses were performed using SAS statistical software (version 9.3; SAS Institute Inc., Cary, NC). This study was deemed minimal risk after review by the Mayo Clinic Institutional Review Board.
RESULTS
Over the 6‐year study period, 107 attending physicians supervised internal medicine teaching services. Twenty‐three percent of teaching attending physicians were female. Mean attending age was 42.6 years. Attendings supervised a given service for between 2 and 19 days (mean [standard deviation] = 10.1 [4.1] days). There were 542 internal medicine residents on these teaching services who completed at least 1 teaching evaluation. A total of 69,386 teaching evaluation items were submitted by these residents during the study period.
In a multivariate analysis adjusted for faculty demographics and workload measures, teaching evaluation scores were significantly higher for attending physicians who had an academic rank of professor when compared to attendings who were assistant professors ( = 0.12, P = 0.007), or instructors/no academic rank ( = 0.23, P < 0.0001). The number of days an attending physician spent with the team showed a positive association with teaching evaluations ( = +0.015, P < 0.0001).
Associations between measures of attending physician workload and teaching evaluation scores are shown in Table 1. Mean midnight census and mean number of daily discharges were associated with lower teaching evaluation scores (both = 0.026, P < 0.0001). Mean number of daily admissions was associated with higher teaching scores ( = +0.021, P = 0.001). The mean expected mortality among hospitalized patients on the services supervised by teaching attendings and the outpatient RVUs generated by these attendings during the time they were supervising the hospital service showed no association with teaching scores. The average number of RVUs generated during an attending's entire time supervising hospital service was <1.
Attending Physician Workload Measure | Mean (SD) | Multivariate Analysis* | |||
---|---|---|---|---|---|
SE | 99% CI | P | |||
| |||||
Midnight census | 8.86 (1.8) | 0.026 | 0.002 | (0.03, 0.02) | <0.0001 |
Length of stay, d | 6.91 (3.0) | +0.006 | 0.001 | (0.002, 0.009) | <0.0001 |
Expected mortality (per 1,000 patients) | 51.94 (27.4) | 0.0001 | 0.0001 | (0.0004, 0.0001) | 0.19 |
Daily admissions | 2.23 (0.54) | +0.021 | 0.006 | (0.004, 0.037) | 0.001 |
Daily discharges | 2.13 (0.56) | 0.026 | 0.006 | (0.041, 0.010) | <0.0001 |
Daily outpatient relative value units | 0.69 (1.2) | +0.004 | 0.003 | (0.002, 0.011) | 0.10 |
Table 2 shows relationships between attending physician workload and patient outcomes for the patients on hospital services supervised by 107 attending physicians during the study period. Patient outcome data showed positive associations between measures of higher workload and PSIs. Specifically, for each 1‐patient increase in the average number of daily admissions to the attending and resident services, the cohort of patients under the team's care was 1.8 times more likely to include at least 1 patient with a PSI event (OR = 1.81, 99% confidence interval [CI]: 1.21, 2.71, P = 0.0001). Likewise, for each 1‐day increase in average length of stay, the cohort of patients under the team's care was 1.16 times more likely to have at least 1 patient with a PSI (OR = 1.16, 99% CI: 1.07, 1.26, P < 0.0001). As anticipated, mean expected mortality was associated with actual mortality, cardiopulmonary resuscitation/rapid response team calls, and ICU transfers. There were no associations between patient outcomes and workload measures of midnight census and outpatient RVUs.
Patient Outcomes, Multivariate Analysis* | ||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Patient Safety Indicators, n = 513 | Deaths, n = 352 | CPR/RRT Calls, n = 409 | ICU Transfers, n = 737 | |||||||||||||
Workload measures | OR | SE | P | 99% CI | OR | SE | P | 99% CI | OR | SE | P | 99% CI | OR | SE | P | 99% CI |
| ||||||||||||||||
Midnight census | 1.10 | 0.05 | 0.04 | (0.98, 1.24) | 0.91 | 0.04 | 0.03 | (0.81, 1.02) | 0.95 | 0.04 | 0.16 | (0.86, 1.05) | 1.06 | 0.04 | 0.16 | (0.96, 1.17) |
Length of stay | 1.16 | 0.04 | <0.0001 | (1.07, 1.26) | 1.03 | 0.03 | 0.39 | (0.95, 1.12) | 0.99 | 0.03 | 0.63 | (0.92, 1.05) | 1.10 | 0.03 | 0.0001 | (1.03, 1.18) |
Expected mortality (per 1,000 patients) | 1.00 | 0.003 | 0.24 | (0.99, 1.01) | 1.01 | 0.00 | 0.002 | (1.00, 1.02) | 1.02 | 0.00 | <0.0001 | (1.01, 1.02) | 1.01 | 0.00 | 0.003 | (1.00, 1.01) |
Daily admissions | 1.81 | 0.28 | 0.0001 | (1.21, 2.71) | 0.78 | 0.14 | 0.16 | (0.49, 1.24) | 1.11 | 0.20 | 0.57 | (0.69, 1.77) | 1.34 | 0.24 | 0.09 | (0.85, 2.11) |
Daily discharges | 1.06 | 0.13 | 0.61 | (0.78, 1.45) | 2.36 | 0.38 | <0.0001 | (1.56, 3.57) | 0.94 | 0.16 | 0.70 | (0.60, 1.46) | 1.09 | 0.16 | 0.53 | (0.75, 1.60) |
Daily outpatient relative value units | 0.81 | 0.07 | 0.01 | (0.65, 1.00) | 1.02 | 0.04 | 0.56 | (0.92, 1.13) | 1.05 | 0.04 | 0.23 | (0.95, 1.17) | 0.92 | 0.06 | 0.23 | (0.77, 1.09) |
DISCUSSION
This study of internal medicine attending physician workload and resident education demonstrates that higher workload among attending physicians is associated with slightly lower teaching evaluation scores from residents as well as increased risks to patient safety.
The prior literature examining relationships between workload and teaching effectiveness is largely survey‐based and reliant upon physicians' self‐reported perceptions of workload.[10, 13, 23] The present study strengthens this evidence by using multiple objective measures of workload, objective measures of patient safety, and a large sample of teaching evaluations.
An interesting finding in this study was that the number of patient dismissals per day was associated with a significant decrease in teaching scores, whereas the number of admissions per day was associated with increased teaching scores. These findings may seem contradictory, because the number of admissions and discharges both measure physician workload. However, a likely explanation for this apparent inconsistency is that on internal medicine inpatient teaching services, much of the teaching of residents occurs at the time of a patient admission as residents are presenting cases to the attending physician, exploring differential diagnoses, and discussing management plans. By contrast, a patient dismissal tends to consist mainly of patient interaction, paperwork, and phone calls by the resident with less input required from the attending physician. Our findings suggest that although patient admissions remain a rich opportunity for resident education, patient dismissals may increase workload without improving teaching evaluations. As the inpatient hospital environment evolves, exploring options for nonphysician providers to assist with or complete patient dismissals may have a beneficial effect on resident education.[34] In addition, exploring more efficient teaching strategies may be beneficial in the fast‐paced inpatient learning milieu.[35]
There was a statistically significant positive association between the number of days an attending physician spent with the team and teaching evaluations. Although prior work has examined advantages and disadvantages of various resident schedules,[36, 37, 38] our results suggest scheduling models that emphasize continuity of the teaching attending and residents may be preferred to enhance teaching effectiveness. Further study would help elucidate potential implications of this finding for the scheduling of supervisory attendings to optimize education.
In this analysis, patient outcome measures were largely independent of attending physician workload, with the exception of PSIs. PSIs have been associated with longer stays in the hospital,[39, 40] which is consistent with our findings. However, mean daily admissions were also associated with PSIs. It could be expected that the more patients on a hospital service, the more PSIs will result. However, there was not a significant association between midnight census and PSIs when other variables were accounted for. Because new patient admissions are time consuming and contribute to the workload of both residents and attending physicians, it is possible that safety of the service's hospitalized patients is compromised when the team is putting time and effort toward new patients. Previous research has shown variability in PSI trends with changes in the workload environment.[41] Further studies are needed to fully explore relationships between admission volume and PSIs on teaching services.
It is worthwhile to note that attending physicians have specific responsibilities of supervision and documentation for new admissions. Although it could be argued that new admissions raise the workload for the entire team, and the higher team workload may impact teaching evaluations, previous research has demonstrated that resident burnout and well‐being, which are influenced by workload, do not impact residents' assessments of teachers.[42] In addition, metrics that could arguably be more apt to measure the workload of the team as a whole (eg, team census) did not show a significant association with patient outcomes.
This study has important limitations. First, the cohort of attending physicians, residents, and patients was from a large single institution and may not be generalizable to all settings. Second, most attending physicians in this sample were experienced teachers, so consequences of increased workload may have been managed effectively without a major impact on resident education in some cases. Third, the magnitude of change in teaching effectiveness, although statistically significant, was small and might call into question the educational significance of these findings. Fourth, although resident satisfaction does not influence teaching scores, it is possible that residents' perception of their own workload may have impacted teaching evaluations. Finally, data collection was intentionally closed at the end of the 2011 academic year because accreditation standards for resident duty hours changed again at that time.[43] Thus, these data may not directly reflect the evolving hospital learning environment but serve as a useful benchmark for future studies of workload and teaching effectiveness in the inpatient setting. Once hospitals have had sufficient time and experience with the new duty hour standards, additional studies exploring relationships between workload, teaching effectiveness, and patient outcomes may be warranted.
Limitations notwithstanding, this study shows that attending physician workload may adversely impact teaching and patient safety on internal medicine hospital services. Ongoing efforts by residency programs to optimize the learning environment should include strategies to manage the workload of supervising attendings.
Disclosures
This publication was made possible in part by Clinical and Translational Science Award grant number UL1 TR000135 from the National Center for Advancing Translational Sciences, a component of the National Institutes of Health (NIH). Its contents are solely the responsibility of the authors and do not necessarily represent the official views of NIH. Authors also acknowledge support for the Mayo Clinic Department of Medicine Write‐up and Publish grant. In addition, this study was supported in part by the Mayo Clinic Internal Medicine Residency Office of Education Innovations as part of the Accreditation Council for Graduate Medical Education Educational Innovations Project. The information contained in this article was based in part on the performance package data maintained by the University HealthSystem Consortium. Copyright 2015 UHC. All rights reserved.
Teaching attending physicians must balance clinical workload and resident education simultaneously while supervising inpatient services. The workload of teaching attendings has been increasing due to many factors. As patient complexity has increased, length of stay has decreased, creating higher turnover and higher acuity of hospitalized patients.[1, 2, 3, 4, 5] The rising burden of clinical documentation has increased demands on inpatient attending physicians' time.[6] Additionally, resident duty hour restrictions have shifted the responsibility for patient care to the teaching attending.[7] These factors contribute to the perception of unsafe workloads among attending physicians[8] and could impact the ability to teach well.
Teaching effectiveness is an important facet of the graduate medical education (GME) learning environment.[9] Residents perceive that education suffers when their own workload increases,[10, 11, 12, 13, 14] and higher on‐call workload is associated with lower likelihood of participation in educational activities.[15] More contact between resident trainees and supervisory staff may improve the clinical value of inpatient rotations.[16] Program directors have expressed concern about the educational ramifications of work compression.[17, 18, 19, 20] Higher workload for attending physicians can negatively impact patient safety and quality of care,[21, 22] and perception of higher attending workload is associated with less time for teaching.[23] However, the impact of objective measures of attending physician workload on educational outcomes has not been explored. When attending physicians are responsible for increasingly complex clinical care in addition to resident education, teaching effectiveness may suffer. With growing emphasis on the educational environment's effect on healthcare quality and safety,[24] it is imperative to consider the influence of attending workload on patient care and resident education.
The combination of increasing clinical demands, fewer hours in‐house for residents, and less time for teaching has the potential to decrease attending physician teaching effectiveness. In this study, we aimed to evaluate relationships among objective measures of attending physician workload, resident perception of teaching effectiveness, and patient outcomes. We hypothesized that higher workload for attending physicians would be associated with lower ratings of teaching effectiveness and poorer outcomes for patients.
METHODS
We performed a retrospective study of attending physicians who supervised inpatient internal medicine teaching services at Mayo ClinicRochester from July 2005 through June 2011 (6 full academic years). The team structure for each service was 1 attending physician, 1 senior resident, and 3 interns. Senior residents were on call every fourth night, and interns were on call every sixth night. Up to 2 admissions per service were received during the daytime short call, and up to 5 admissions per service were received during the overnight long call. Attending physicians included all supervising physicians in appointment categories of attending/consultant, senior associate consultant, and chief medical resident at the Mayo Clinic. Maximum continuous on‐call time for residents during the study period was restricted to 30 hours continuously. The timeframe of this study was chosen to minimize variability in resident work schedules; effective July 1, 2011, duty hours for postgraduate year 1 residents were further restricted to a maximum of 16 hours in duration.[25]
Measures of Attending Physician Workload
To measure attending physician workload, we examined mean service census as reported at midnight, mean patient length of stay, mean number of daily admissions, and mean number of daily discharges. We also calculated mean daily outpatient relative value units (RVUs) generated as a measure of outpatient workload while the attending was supervising the inpatient service. Similar measures of workload have been used in previous research.[26] Attending physicians in this study functioned as hospitalists during their time supervising the teaching services; that is, they were not routinely assigned to any outpatient responsibilities. The only way for an outpatient RVU to be generated during their time supervising the hospital service was for the attending physician to specifically request to see an outpatient in the clinic. Attending physicians only supervised 1 teaching service at a time and had no concurrent nonteaching service obligations. Admissions were received on a rotating basis. Because patient illness severity may impact workload, we also examined mean expected mortality (per 1000 patients) for all patients on the attending physicians' hospital services.[27]
The above workload variables were measured in the specific timeframe that corresponded to the number of days an attending physician was supervising a particular team; for example, mean census was the mean number of patients on the attending physician's hospital service during his or her time supervising that resident team.
Teaching Effectiveness Outcome Measures
Teaching effectiveness was measured using residents' evaluations of their attending physicians with a 5‐point scale (1 = needs improvement, 3 = average, 5 = top 10% of attending physicians) that has been previously validated in similar contexts.[28, 29, 30, 31, 32] The evaluation questions are shown in Supporting Information, Appendix A, in the online version of this article.
Patient Outcome Measures
Patient outcomes included applicable patient safety indicators (PSIs) as defined by the Agency for Healthcare Research and Quality[33] (see Supporting Information, Appendix B, in the online version of this article), patient transfers to the intensive care unit (ICU), calls to the rapid response team/cardiopulmonary resuscitation team, and patient deaths. Each indicator and event was summarized as occurred or did not occur at the service‐team level. For example, for a particular attendingresident team, the occurrence of each of these events at any point during the time they worked together was recorded as occurred (1) or did not occur (0). Similar measures of patient outcomes have been used in previous research.[32]
Statistical Analysis
Mixed linear models with variance components covariance structure (including random effects to account for repeated ratings by residents and of faculty) were fit using restricted maximum likelihood to examine associations of attending workload and demographics with teaching scores. Generalized linear regression models, estimated via generalized estimating equations, were used to examine associations of attending workload and demographics with patient outcomes. Due to the binary nature of the outcomes, the binomial distribution and logit link function were used, producing odds ratios (ORs) for covariates akin to those found in standard logistic regression. Multivariate models were used to adjust for physician demographics including age, gender, teaching appointment (consultant, senior associate consultant/temporary clinical appointment, or chief medical resident) and academic rank (professor, associate professor, assistant professor, instructor/none).
To account for multiple comparisons, a significance level of P < 0.01 was used. All analyses were performed using SAS statistical software (version 9.3; SAS Institute Inc., Cary, NC). This study was deemed minimal risk after review by the Mayo Clinic Institutional Review Board.
RESULTS
Over the 6‐year study period, 107 attending physicians supervised internal medicine teaching services. Twenty‐three percent of teaching attending physicians were female. Mean attending age was 42.6 years. Attendings supervised a given service for between 2 and 19 days (mean [standard deviation] = 10.1 [4.1] days). There were 542 internal medicine residents on these teaching services who completed at least 1 teaching evaluation. A total of 69,386 teaching evaluation items were submitted by these residents during the study period.
In a multivariate analysis adjusted for faculty demographics and workload measures, teaching evaluation scores were significantly higher for attending physicians who had an academic rank of professor when compared to attendings who were assistant professors ( = 0.12, P = 0.007), or instructors/no academic rank ( = 0.23, P < 0.0001). The number of days an attending physician spent with the team showed a positive association with teaching evaluations ( = +0.015, P < 0.0001).
Associations between measures of attending physician workload and teaching evaluation scores are shown in Table 1. Mean midnight census and mean number of daily discharges were associated with lower teaching evaluation scores (both = 0.026, P < 0.0001). Mean number of daily admissions was associated with higher teaching scores ( = +0.021, P = 0.001). The mean expected mortality among hospitalized patients on the services supervised by teaching attendings and the outpatient RVUs generated by these attendings during the time they were supervising the hospital service showed no association with teaching scores. The average number of RVUs generated during an attending's entire time supervising hospital service was <1.
Attending Physician Workload Measure | Mean (SD) | Multivariate Analysis* | |||
---|---|---|---|---|---|
SE | 99% CI | P | |||
| |||||
Midnight census | 8.86 (1.8) | 0.026 | 0.002 | (0.03, 0.02) | <0.0001 |
Length of stay, d | 6.91 (3.0) | +0.006 | 0.001 | (0.002, 0.009) | <0.0001 |
Expected mortality (per 1,000 patients) | 51.94 (27.4) | 0.0001 | 0.0001 | (0.0004, 0.0001) | 0.19 |
Daily admissions | 2.23 (0.54) | +0.021 | 0.006 | (0.004, 0.037) | 0.001 |
Daily discharges | 2.13 (0.56) | 0.026 | 0.006 | (0.041, 0.010) | <0.0001 |
Daily outpatient relative value units | 0.69 (1.2) | +0.004 | 0.003 | (0.002, 0.011) | 0.10 |
Table 2 shows relationships between attending physician workload and patient outcomes for the patients on hospital services supervised by 107 attending physicians during the study period. Patient outcome data showed positive associations between measures of higher workload and PSIs. Specifically, for each 1‐patient increase in the average number of daily admissions to the attending and resident services, the cohort of patients under the team's care was 1.8 times more likely to include at least 1 patient with a PSI event (OR = 1.81, 99% confidence interval [CI]: 1.21, 2.71, P = 0.0001). Likewise, for each 1‐day increase in average length of stay, the cohort of patients under the team's care was 1.16 times more likely to have at least 1 patient with a PSI (OR = 1.16, 99% CI: 1.07, 1.26, P < 0.0001). As anticipated, mean expected mortality was associated with actual mortality, cardiopulmonary resuscitation/rapid response team calls, and ICU transfers. There were no associations between patient outcomes and workload measures of midnight census and outpatient RVUs.
Patient Outcomes, Multivariate Analysis* | ||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Patient Safety Indicators, n = 513 | Deaths, n = 352 | CPR/RRT Calls, n = 409 | ICU Transfers, n = 737 | |||||||||||||
Workload measures | OR | SE | P | 99% CI | OR | SE | P | 99% CI | OR | SE | P | 99% CI | OR | SE | P | 99% CI |
| ||||||||||||||||
Midnight census | 1.10 | 0.05 | 0.04 | (0.98, 1.24) | 0.91 | 0.04 | 0.03 | (0.81, 1.02) | 0.95 | 0.04 | 0.16 | (0.86, 1.05) | 1.06 | 0.04 | 0.16 | (0.96, 1.17) |
Length of stay | 1.16 | 0.04 | <0.0001 | (1.07, 1.26) | 1.03 | 0.03 | 0.39 | (0.95, 1.12) | 0.99 | 0.03 | 0.63 | (0.92, 1.05) | 1.10 | 0.03 | 0.0001 | (1.03, 1.18) |
Expected mortality (per 1,000 patients) | 1.00 | 0.003 | 0.24 | (0.99, 1.01) | 1.01 | 0.00 | 0.002 | (1.00, 1.02) | 1.02 | 0.00 | <0.0001 | (1.01, 1.02) | 1.01 | 0.00 | 0.003 | (1.00, 1.01) |
Daily admissions | 1.81 | 0.28 | 0.0001 | (1.21, 2.71) | 0.78 | 0.14 | 0.16 | (0.49, 1.24) | 1.11 | 0.20 | 0.57 | (0.69, 1.77) | 1.34 | 0.24 | 0.09 | (0.85, 2.11) |
Daily discharges | 1.06 | 0.13 | 0.61 | (0.78, 1.45) | 2.36 | 0.38 | <0.0001 | (1.56, 3.57) | 0.94 | 0.16 | 0.70 | (0.60, 1.46) | 1.09 | 0.16 | 0.53 | (0.75, 1.60) |
Daily outpatient relative value units | 0.81 | 0.07 | 0.01 | (0.65, 1.00) | 1.02 | 0.04 | 0.56 | (0.92, 1.13) | 1.05 | 0.04 | 0.23 | (0.95, 1.17) | 0.92 | 0.06 | 0.23 | (0.77, 1.09) |
DISCUSSION
This study of internal medicine attending physician workload and resident education demonstrates that higher workload among attending physicians is associated with slightly lower teaching evaluation scores from residents as well as increased risks to patient safety.
The prior literature examining relationships between workload and teaching effectiveness is largely survey‐based and reliant upon physicians' self‐reported perceptions of workload.[10, 13, 23] The present study strengthens this evidence by using multiple objective measures of workload, objective measures of patient safety, and a large sample of teaching evaluations.
An interesting finding in this study was that the number of patient dismissals per day was associated with a significant decrease in teaching scores, whereas the number of admissions per day was associated with increased teaching scores. These findings may seem contradictory, because the number of admissions and discharges both measure physician workload. However, a likely explanation for this apparent inconsistency is that on internal medicine inpatient teaching services, much of the teaching of residents occurs at the time of a patient admission as residents are presenting cases to the attending physician, exploring differential diagnoses, and discussing management plans. By contrast, a patient dismissal tends to consist mainly of patient interaction, paperwork, and phone calls by the resident with less input required from the attending physician. Our findings suggest that although patient admissions remain a rich opportunity for resident education, patient dismissals may increase workload without improving teaching evaluations. As the inpatient hospital environment evolves, exploring options for nonphysician providers to assist with or complete patient dismissals may have a beneficial effect on resident education.[34] In addition, exploring more efficient teaching strategies may be beneficial in the fast‐paced inpatient learning milieu.[35]
There was a statistically significant positive association between the number of days an attending physician spent with the team and teaching evaluations. Although prior work has examined advantages and disadvantages of various resident schedules,[36, 37, 38] our results suggest scheduling models that emphasize continuity of the teaching attending and residents may be preferred to enhance teaching effectiveness. Further study would help elucidate potential implications of this finding for the scheduling of supervisory attendings to optimize education.
In this analysis, patient outcome measures were largely independent of attending physician workload, with the exception of PSIs. PSIs have been associated with longer stays in the hospital,[39, 40] which is consistent with our findings. However, mean daily admissions were also associated with PSIs. It could be expected that the more patients on a hospital service, the more PSIs will result. However, there was not a significant association between midnight census and PSIs when other variables were accounted for. Because new patient admissions are time consuming and contribute to the workload of both residents and attending physicians, it is possible that safety of the service's hospitalized patients is compromised when the team is putting time and effort toward new patients. Previous research has shown variability in PSI trends with changes in the workload environment.[41] Further studies are needed to fully explore relationships between admission volume and PSIs on teaching services.
It is worthwhile to note that attending physicians have specific responsibilities of supervision and documentation for new admissions. Although it could be argued that new admissions raise the workload for the entire team, and the higher team workload may impact teaching evaluations, previous research has demonstrated that resident burnout and well‐being, which are influenced by workload, do not impact residents' assessments of teachers.[42] In addition, metrics that could arguably be more apt to measure the workload of the team as a whole (eg, team census) did not show a significant association with patient outcomes.
This study has important limitations. First, the cohort of attending physicians, residents, and patients was from a large single institution and may not be generalizable to all settings. Second, most attending physicians in this sample were experienced teachers, so consequences of increased workload may have been managed effectively without a major impact on resident education in some cases. Third, the magnitude of change in teaching effectiveness, although statistically significant, was small and might call into question the educational significance of these findings. Fourth, although resident satisfaction does not influence teaching scores, it is possible that residents' perception of their own workload may have impacted teaching evaluations. Finally, data collection was intentionally closed at the end of the 2011 academic year because accreditation standards for resident duty hours changed again at that time.[43] Thus, these data may not directly reflect the evolving hospital learning environment but serve as a useful benchmark for future studies of workload and teaching effectiveness in the inpatient setting. Once hospitals have had sufficient time and experience with the new duty hour standards, additional studies exploring relationships between workload, teaching effectiveness, and patient outcomes may be warranted.
Limitations notwithstanding, this study shows that attending physician workload may adversely impact teaching and patient safety on internal medicine hospital services. Ongoing efforts by residency programs to optimize the learning environment should include strategies to manage the workload of supervising attendings.
Disclosures
This publication was made possible in part by Clinical and Translational Science Award grant number UL1 TR000135 from the National Center for Advancing Translational Sciences, a component of the National Institutes of Health (NIH). Its contents are solely the responsibility of the authors and do not necessarily represent the official views of NIH. Authors also acknowledge support for the Mayo Clinic Department of Medicine Write‐up and Publish grant. In addition, this study was supported in part by the Mayo Clinic Internal Medicine Residency Office of Education Innovations as part of the Accreditation Council for Graduate Medical Education Educational Innovations Project. The information contained in this article was based in part on the performance package data maintained by the University HealthSystem Consortium. Copyright 2015 UHC. All rights reserved.
- The future of residents' education in internal medicine. Am J Med. 2004;116(9):648–650. , , .
- Redesigning residency education in internal medicine: a position paper from the Association of Program Directors in Internal Medicine. Ann Intern Med. 2006;144(12):920–926. , , , , .
- Residency training in the modern era: the pipe dream of less time to learn more, care better, and be more professional. Arch Intern Med. 2005;165(22):2561–2562. , , .
- Trends in Hospitalizations Among Medicare Survivors of Aortic Valve Replacement in the United States From 1999 to 2010. Ann Thorac Surg. 2015;99(2):509–517. , , , et al.
- Restructuring an inpatient resident service to improve outcomes for residents, students, and patients. Acad Med. 2011;86(12):1500–1507. , , .
- Clinical documentation in the 21st century: executive summary of a policy position paper from the American College of Physicians. Ann Intern Med. 2015;162(4):301–303. , , , .
- Effect of ACGME duty hours on attending physician teaching and satisfaction. Arch Intern Med. 2008;168(11):1226–1228. , .
- Identifying potential predictors of a safe attending physician workload: a survey of hospitalists. J Hosp Med. 2013;8(11):644–646. , , , , .
- The clinical learning environment: the foundation of graduate medical education. JAMA. 2013;309(16):1687–1688. , , .
- Better rested, but more stressed? Evidence of the effects of resident work hour restrictions. Acad Pediatr. 2012;12(4):335–343. , , , , , .
- Multifaceted longitudinal study of surgical resident education, quality of life, and patient care before and after July 2011. J Surg Educ. 2013;70(6):769–776. , , , .
- Impact of the new 16‐hour duty period on pediatric interns' neonatal education. Clin Pediatr (Phila). 2014;53(1):51–59. , , .
- Relationship between resident workload and self‐perceived learning on inpatient medicine wards: a longitudinal study. BMC Med Educ. 2006;6:35. , , , , , .
- Perceptions of educational experience and inpatient workload among pediatric residents. Hosp Pediatr. 2013;3(3):276–284. , , , .
- Association of workload of on‐call medical interns with on‐call sleep duration, shift duration, and participation in educational activities. JAMA. 2008;300(10):1146–1153. , , , et al.
- Effects of increased overnight supervision on resident education, decision‐making, and autonomy. J Hosp Med. 2012;7(8):606–610. , , , , , .
- Approval and perceived impact of duty hour regulations: survey of pediatric program directors. Pediatrics. 2013;132(5):819–824. , , , , .
- Anticipated consequences of the 2011 duty hours standards: views of internal medicine and surgery program directors. Acad Med. 2012;87(7):895–903. , , , et al.
- Training on the clock: family medicine residency directors' responses to resident duty hours reform. Acad Med. 2006;81(12):1032–1037. , , , , .
- Duty hour recommendations and implications for meeting the ACGME core competencies: views of residency directors. Mayo Clin Proc. 2011;86(3):185–191. , , , et al.
- Does surgeon workload per day affect outcomes after pulmonary lobectomies? Ann Thorac Surg. 2012;94(3):966–973. , , , et al.
- Impact of attending physician workload on patient care: a survey of hospitalists. JAMA Intern Med. 2013;173(5):375–377. , , , .
- No time for teaching? Inpatient attending physicians' workload and teaching before and after the implementation of the 2003 duty hours regulations. Acad Med. 2013;88(9):1293–1298. , , , et al.
- Accreditation Council for Graduate Medical Education. Clinical Learning Environment Review (CLER) Program. Available at: http://www.acgme.org/acgmeweb/tabid/436/ProgramandInstitutionalAccreditation/NextAccreditationSystem/ClinicalLearningEnvironmentReviewProgram.aspx. Accessed April 27, 2015.
- Accreditation Council for Graduate Medical Education. Frequently Asked Questions: A ACGME common duty hour requirements. Available at: https://www.acgme.org/acgmeweb/Portals/0/PDFs/dh‐faqs 2011.pdf. Accessed April 27, 2015.
- Effect of hospitalist workload on the quality and efficiency of care. JAMA Intern Med. 2014;174(5):786–793. , , , , .
- University HealthSystem Consortium. UHC clinical database/resource manager for Mayo Clinic. Available at: http://www.uhc.edu. Data accessed August 25, 2011.
- The interpersonal, cognitive and efficiency domains of clinical teaching: construct validity of a multi‐dimensional scale. Med Educ. 2005;39(12):1221–1229. , .
- Factor instability of clinical teaching assessment scores among general internists and cardiologists. Med Educ. 2006;40(12):1209–1216. , , .
- Determining reliability of clinical assessment scores in real time. Teach Learn Med. 2009;21(3):188–194. , , , .
- Behaviors of highly professional resident physicians. JAMA. 2008;300(11):1326–1333. , , , , , .
- Service census caps and unit‐based admissions: resident workload, conference attendance, duty hour compliance, and patient safety. Mayo Clin Proc. 2012;87(4):320–327. , , , et al.
- Agency for Healthcare Research and Quality. Patient safety indicators technical specifications updates—Version 5.0, March 2015. Available at: http://www.qualityindicators.ahrq.gov/Modules/PSI_TechSpec.aspx. Accessed May 29, 2015.
- The impact of nonphysician clinicians: do they improve the quality and cost‐effectiveness of health care services? Med Care Res Rev. 2009;66(6 suppl):36S–89S. , , , , , .
- Maximizing teaching on the wards: review and application of the One‐Minute Preceptor and SNAPPS models. J Hosp Med. 2015;10(2):125–130. , , .
- Resident perceptions of the educational value of night float rotations. Teach Learn Med. 2010;22(3):196–201. , , , .
- An evaluation of internal medicine residency continuity clinic redesign to a 50/50 outpatient‐inpatient model. J Gen Intern Med. 2013;28(8):1014–1019. , , , , , .
- Revisiting the rotating call schedule in less than 80 hours per week. J Surg Educ. 2009;66(6):357–360. , , , et al.
- Excess length of stay, charges, and mortality attributable to medical injuries during hospitalization. JAMA. 2003;290(14):1868–1874. , .
- Agency for Healthcare Research and Quality patient safety indicators and mortality in surgical patients. Am Surg. 2014;80(8):801–804. , , , .
- Patient safety in the era of the 80‐hour workweek. J Surg Educ. 2014;71(4):551–559. , , , et al.
- Impact of resident well‐being and empathy on assessments of faculty physicians. J Gen Intern Med. 2010;25(1):52–56. , , , .
- Stress management training for surgeons‐a randomized, controlled, intervention study. Ann Surg. 2011;253(3):488–494. , , , et al.
- The future of residents' education in internal medicine. Am J Med. 2004;116(9):648–650. , , .
- Redesigning residency education in internal medicine: a position paper from the Association of Program Directors in Internal Medicine. Ann Intern Med. 2006;144(12):920–926. , , , , .
- Residency training in the modern era: the pipe dream of less time to learn more, care better, and be more professional. Arch Intern Med. 2005;165(22):2561–2562. , , .
- Trends in Hospitalizations Among Medicare Survivors of Aortic Valve Replacement in the United States From 1999 to 2010. Ann Thorac Surg. 2015;99(2):509–517. , , , et al.
- Restructuring an inpatient resident service to improve outcomes for residents, students, and patients. Acad Med. 2011;86(12):1500–1507. , , .
- Clinical documentation in the 21st century: executive summary of a policy position paper from the American College of Physicians. Ann Intern Med. 2015;162(4):301–303. , , , .
- Effect of ACGME duty hours on attending physician teaching and satisfaction. Arch Intern Med. 2008;168(11):1226–1228. , .
- Identifying potential predictors of a safe attending physician workload: a survey of hospitalists. J Hosp Med. 2013;8(11):644–646. , , , , .
- The clinical learning environment: the foundation of graduate medical education. JAMA. 2013;309(16):1687–1688. , , .
- Better rested, but more stressed? Evidence of the effects of resident work hour restrictions. Acad Pediatr. 2012;12(4):335–343. , , , , , .
- Multifaceted longitudinal study of surgical resident education, quality of life, and patient care before and after July 2011. J Surg Educ. 2013;70(6):769–776. , , , .
- Impact of the new 16‐hour duty period on pediatric interns' neonatal education. Clin Pediatr (Phila). 2014;53(1):51–59. , , .
- Relationship between resident workload and self‐perceived learning on inpatient medicine wards: a longitudinal study. BMC Med Educ. 2006;6:35. , , , , , .
- Perceptions of educational experience and inpatient workload among pediatric residents. Hosp Pediatr. 2013;3(3):276–284. , , , .
- Association of workload of on‐call medical interns with on‐call sleep duration, shift duration, and participation in educational activities. JAMA. 2008;300(10):1146–1153. , , , et al.
- Effects of increased overnight supervision on resident education, decision‐making, and autonomy. J Hosp Med. 2012;7(8):606–610. , , , , , .
- Approval and perceived impact of duty hour regulations: survey of pediatric program directors. Pediatrics. 2013;132(5):819–824. , , , , .
- Anticipated consequences of the 2011 duty hours standards: views of internal medicine and surgery program directors. Acad Med. 2012;87(7):895–903. , , , et al.
- Training on the clock: family medicine residency directors' responses to resident duty hours reform. Acad Med. 2006;81(12):1032–1037. , , , , .
- Duty hour recommendations and implications for meeting the ACGME core competencies: views of residency directors. Mayo Clin Proc. 2011;86(3):185–191. , , , et al.
- Does surgeon workload per day affect outcomes after pulmonary lobectomies? Ann Thorac Surg. 2012;94(3):966–973. , , , et al.
- Impact of attending physician workload on patient care: a survey of hospitalists. JAMA Intern Med. 2013;173(5):375–377. , , , .
- No time for teaching? Inpatient attending physicians' workload and teaching before and after the implementation of the 2003 duty hours regulations. Acad Med. 2013;88(9):1293–1298. , , , et al.
- Accreditation Council for Graduate Medical Education. Clinical Learning Environment Review (CLER) Program. Available at: http://www.acgme.org/acgmeweb/tabid/436/ProgramandInstitutionalAccreditation/NextAccreditationSystem/ClinicalLearningEnvironmentReviewProgram.aspx. Accessed April 27, 2015.
- Accreditation Council for Graduate Medical Education. Frequently Asked Questions: A ACGME common duty hour requirements. Available at: https://www.acgme.org/acgmeweb/Portals/0/PDFs/dh‐faqs 2011.pdf. Accessed April 27, 2015.
- Effect of hospitalist workload on the quality and efficiency of care. JAMA Intern Med. 2014;174(5):786–793. , , , , .
- University HealthSystem Consortium. UHC clinical database/resource manager for Mayo Clinic. Available at: http://www.uhc.edu. Data accessed August 25, 2011.
- The interpersonal, cognitive and efficiency domains of clinical teaching: construct validity of a multi‐dimensional scale. Med Educ. 2005;39(12):1221–1229. , .
- Factor instability of clinical teaching assessment scores among general internists and cardiologists. Med Educ. 2006;40(12):1209–1216. , , .
- Determining reliability of clinical assessment scores in real time. Teach Learn Med. 2009;21(3):188–194. , , , .
- Behaviors of highly professional resident physicians. JAMA. 2008;300(11):1326–1333. , , , , , .
- Service census caps and unit‐based admissions: resident workload, conference attendance, duty hour compliance, and patient safety. Mayo Clin Proc. 2012;87(4):320–327. , , , et al.
- Agency for Healthcare Research and Quality. Patient safety indicators technical specifications updates—Version 5.0, March 2015. Available at: http://www.qualityindicators.ahrq.gov/Modules/PSI_TechSpec.aspx. Accessed May 29, 2015.
- The impact of nonphysician clinicians: do they improve the quality and cost‐effectiveness of health care services? Med Care Res Rev. 2009;66(6 suppl):36S–89S. , , , , , .
- Maximizing teaching on the wards: review and application of the One‐Minute Preceptor and SNAPPS models. J Hosp Med. 2015;10(2):125–130. , , .
- Resident perceptions of the educational value of night float rotations. Teach Learn Med. 2010;22(3):196–201. , , , .
- An evaluation of internal medicine residency continuity clinic redesign to a 50/50 outpatient‐inpatient model. J Gen Intern Med. 2013;28(8):1014–1019. , , , , , .
- Revisiting the rotating call schedule in less than 80 hours per week. J Surg Educ. 2009;66(6):357–360. , , , et al.
- Excess length of stay, charges, and mortality attributable to medical injuries during hospitalization. JAMA. 2003;290(14):1868–1874. , .
- Agency for Healthcare Research and Quality patient safety indicators and mortality in surgical patients. Am Surg. 2014;80(8):801–804. , , , .
- Patient safety in the era of the 80‐hour workweek. J Surg Educ. 2014;71(4):551–559. , , , et al.
- Impact of resident well‐being and empathy on assessments of faculty physicians. J Gen Intern Med. 2010;25(1):52–56. , , , .
- Stress management training for surgeons‐a randomized, controlled, intervention study. Ann Surg. 2011;253(3):488–494. , , , et al.
© 2016 Society of Hospital Medicine
What Gets Lost
This issue of the Journal of Hospital Medicine highlights an important contribution to the evolving state of graduate medical education (GME). The study assesses the relationship between attending physician workload and teaching effectiveness and patient safety.[1]
From the outset, it is important to note that although the focus of this study is on teaching on the wards, this is not necessarily synonymous with learning on the wards. Even if a busy service compromises a faculty's teaching on the wards, more patients on a service might augment a resident's learning on the wards, from patients, peers, active clinical decision making, and overall exposure to diversity of disease.
The independent variable in this study is intensity, with the presumption that the number of patients is proportional to intensity, as codified by the Accreditation Council for Graduate Medical Education (ACGME) regulations regarding caps for admissions and service size. However, are 10 single‐organ chest pain patients the same intensity of 5 septic patients? The authors address this issue as much as possible by integrating expected mortality as a surrogate measure of intensity. Yet, given the heterogeneity of severity of illness even within a diagnosis, this too is likely to be an inaccurate measure of the true intensity of a service. Of course, such measures do not touch upon the social intensity that varies widely from patient to patient, which might be more time consuming and mentally exhausting than managing the diagnosis itself.
However, these limitations aside, this study's biggest contribution is that it raises the question that will define GME in the years to come, How does learning fluctuate with service intensity? The Yerkes‐Dodson curve was published in 1908, defining the relationship between stress and performance (Figure 1).[2] Many have interpreted the ACGME rules on admission caps and duty hours as being designed to make a kinder, gentler learning environment. However, as the curve suggests, optimizing service intensity (stress) is much more than just being nice; it is about optimizing performance, both in the way of patient care and learning. The question of how learning fluctuates with service intensity might be better framed as, What gets lost in the space as you move to the right of the optimal stress zone on the Yerkes‐Dodson curve?

Quality is first. This study correlates intensity with adverse events, and though there is a modest association, this likely underestimates the true magnitude of the problem. The measures in this study are documented adverse events, and are thus unlikely to capture the near misses that increase with heightened stress and intensity. Mistakes increase as mental bandwidth is insufficient to think through the consequences of each decision. Slipsthings you know you need to do but forget to doincrease as the mind becomes distracted.
Good work is next. All hospitalists know that it is possible to get a patient in and out of the hospital, but it is also possible to do so with such poor quality that the patient comes right back. Csikszentmihalyi described the concept of flow: the ability to become fully immersed in a task, concentrating on nothing except that task at hand.[3] What comes from flow is good work. Achieving flow requires the time to engage in a task, but it also requires that the mind is not distracted by the worry of what else needs to be done. As service intensity increases, so does fragmentation and distractions, both of which are enemies to flow. Achieving flow also might have implications for teaching and learning: Does it matter how good the teacher is, or how often she teaches, if the residents are so distracted that they are not mentally there and ready to receive that teaching?
The presumption underlying all GME is that practice makes perfect. However, practice does not make perfect; perfect practice makes perfect. Furthermore, just because you were physically there for an experience, does not mean you actually experienced it. It is possible to be engaged in a patient encounter, and mentally drive right past it, missing the full implications of the experience that would have presumptively allowed for improvement. The difference between practice and perfect practice is contingent upon mentally being there and upon the ability to reflect upon that experience such that improvement is possible. However, experiencing the experience and reflection require time and mental bandwidth; both are diminished as you move to the right of the optimal zone. One of the central roles of the attending is to help learners fully experience the experience and reflect upon how things could have been done better. Though not specifically addressed by this study, one wonders if an attending on an intense teaching service has the time to provide that counsel, and even if they do, if the residents are in a mental position to receive it.
This study assesses the implications of a highly intense service on patient outcomes; what is not assessed are the implications for the future patients who will receive care from these residents. In Strangers to Ourselves, Wilson describes the adaptive unconscious: the mind's ability to take routinely performed tasks and put them into an unconscious hard drive such that they can be completed at a later time without any conscious thought.[4] It is adaptive, because it allows multitasking while doing rote activities. However, it is dangerous too, because once a rote task has been relegated to the adaptive unconscious, it is beyond the ability of the conscious mind to inspect and change it. The exponential consequence of imperfect practice is that the wrong thing done again and again settles into the adaptive unconscious, and there it will be for the rest of that resident's career. What is not specifically explored by this study, though nonetheless reasonable to assume, is that as a teaching service's intensity increases, the quality and frequency of attending feedback and resident self‐reflection declines. The risk of a dysfunctional adaptive unconscious is inversely proportional to feedback and self‐reflection.
So how do we redesign the inpatient GME experience to optimize performance? The architect tasked with designing an optimal learning environment for an inpatient service is tasked with addressing both ends of the Yerkes‐Dodson curve. Too low of service intensity, residents lose out on exposure to diverse medical disease, and subsequent engagement in complex decision making requisite for developing their confidence and autonomy. Too high of service intensity, residents lose out on the teaching and feedback from their attendings, and the ability to truly experience and reflect upon the patients for whom they provide care. However, to do this effectively, the GME architect will need an accurate measure of inpatient intensity, something better than our current measures of duty hours and patient caps. Without that, it will be difficult to construct a learning environment that benefits not only the patients of today, but also the patients of tomorrow. One thing is for sure, the intensity of an inpatient service will only increase in the years to come, and the answer to the question of balancing intensity with learning, more than any other, will determine GME effectiveness. Achieving that balance will be a road of a thousand miles, but in raising this central question, this study gives us the first step.
- Associations between attending physician workload, teaching effectiveness, and patient safety. J Hosp Med. 2016;11:169–173. , , , , .
- The relation of strength of stimulus to rapidity of habit formation. J Comp Neurol Psychol. 1908;18:459–482. , .
- Flow: The Psychology of Optimal Experience. New York, NY: Harper and Row; 1990. .
- Strangers to Ourselves: Discovering the Adaptive Unconscious. Cambridge, MA: Harvard University Press; 2002. .
This issue of the Journal of Hospital Medicine highlights an important contribution to the evolving state of graduate medical education (GME). The study assesses the relationship between attending physician workload and teaching effectiveness and patient safety.[1]
From the outset, it is important to note that although the focus of this study is on teaching on the wards, this is not necessarily synonymous with learning on the wards. Even if a busy service compromises a faculty's teaching on the wards, more patients on a service might augment a resident's learning on the wards, from patients, peers, active clinical decision making, and overall exposure to diversity of disease.
The independent variable in this study is intensity, with the presumption that the number of patients is proportional to intensity, as codified by the Accreditation Council for Graduate Medical Education (ACGME) regulations regarding caps for admissions and service size. However, are 10 single‐organ chest pain patients the same intensity of 5 septic patients? The authors address this issue as much as possible by integrating expected mortality as a surrogate measure of intensity. Yet, given the heterogeneity of severity of illness even within a diagnosis, this too is likely to be an inaccurate measure of the true intensity of a service. Of course, such measures do not touch upon the social intensity that varies widely from patient to patient, which might be more time consuming and mentally exhausting than managing the diagnosis itself.
However, these limitations aside, this study's biggest contribution is that it raises the question that will define GME in the years to come, How does learning fluctuate with service intensity? The Yerkes‐Dodson curve was published in 1908, defining the relationship between stress and performance (Figure 1).[2] Many have interpreted the ACGME rules on admission caps and duty hours as being designed to make a kinder, gentler learning environment. However, as the curve suggests, optimizing service intensity (stress) is much more than just being nice; it is about optimizing performance, both in the way of patient care and learning. The question of how learning fluctuates with service intensity might be better framed as, What gets lost in the space as you move to the right of the optimal stress zone on the Yerkes‐Dodson curve?

Quality is first. This study correlates intensity with adverse events, and though there is a modest association, this likely underestimates the true magnitude of the problem. The measures in this study are documented adverse events, and are thus unlikely to capture the near misses that increase with heightened stress and intensity. Mistakes increase as mental bandwidth is insufficient to think through the consequences of each decision. Slipsthings you know you need to do but forget to doincrease as the mind becomes distracted.
Good work is next. All hospitalists know that it is possible to get a patient in and out of the hospital, but it is also possible to do so with such poor quality that the patient comes right back. Csikszentmihalyi described the concept of flow: the ability to become fully immersed in a task, concentrating on nothing except that task at hand.[3] What comes from flow is good work. Achieving flow requires the time to engage in a task, but it also requires that the mind is not distracted by the worry of what else needs to be done. As service intensity increases, so does fragmentation and distractions, both of which are enemies to flow. Achieving flow also might have implications for teaching and learning: Does it matter how good the teacher is, or how often she teaches, if the residents are so distracted that they are not mentally there and ready to receive that teaching?
The presumption underlying all GME is that practice makes perfect. However, practice does not make perfect; perfect practice makes perfect. Furthermore, just because you were physically there for an experience, does not mean you actually experienced it. It is possible to be engaged in a patient encounter, and mentally drive right past it, missing the full implications of the experience that would have presumptively allowed for improvement. The difference between practice and perfect practice is contingent upon mentally being there and upon the ability to reflect upon that experience such that improvement is possible. However, experiencing the experience and reflection require time and mental bandwidth; both are diminished as you move to the right of the optimal zone. One of the central roles of the attending is to help learners fully experience the experience and reflect upon how things could have been done better. Though not specifically addressed by this study, one wonders if an attending on an intense teaching service has the time to provide that counsel, and even if they do, if the residents are in a mental position to receive it.
This study assesses the implications of a highly intense service on patient outcomes; what is not assessed are the implications for the future patients who will receive care from these residents. In Strangers to Ourselves, Wilson describes the adaptive unconscious: the mind's ability to take routinely performed tasks and put them into an unconscious hard drive such that they can be completed at a later time without any conscious thought.[4] It is adaptive, because it allows multitasking while doing rote activities. However, it is dangerous too, because once a rote task has been relegated to the adaptive unconscious, it is beyond the ability of the conscious mind to inspect and change it. The exponential consequence of imperfect practice is that the wrong thing done again and again settles into the adaptive unconscious, and there it will be for the rest of that resident's career. What is not specifically explored by this study, though nonetheless reasonable to assume, is that as a teaching service's intensity increases, the quality and frequency of attending feedback and resident self‐reflection declines. The risk of a dysfunctional adaptive unconscious is inversely proportional to feedback and self‐reflection.
So how do we redesign the inpatient GME experience to optimize performance? The architect tasked with designing an optimal learning environment for an inpatient service is tasked with addressing both ends of the Yerkes‐Dodson curve. Too low of service intensity, residents lose out on exposure to diverse medical disease, and subsequent engagement in complex decision making requisite for developing their confidence and autonomy. Too high of service intensity, residents lose out on the teaching and feedback from their attendings, and the ability to truly experience and reflect upon the patients for whom they provide care. However, to do this effectively, the GME architect will need an accurate measure of inpatient intensity, something better than our current measures of duty hours and patient caps. Without that, it will be difficult to construct a learning environment that benefits not only the patients of today, but also the patients of tomorrow. One thing is for sure, the intensity of an inpatient service will only increase in the years to come, and the answer to the question of balancing intensity with learning, more than any other, will determine GME effectiveness. Achieving that balance will be a road of a thousand miles, but in raising this central question, this study gives us the first step.
This issue of the Journal of Hospital Medicine highlights an important contribution to the evolving state of graduate medical education (GME). The study assesses the relationship between attending physician workload and teaching effectiveness and patient safety.[1]
From the outset, it is important to note that although the focus of this study is on teaching on the wards, this is not necessarily synonymous with learning on the wards. Even if a busy service compromises a faculty's teaching on the wards, more patients on a service might augment a resident's learning on the wards, from patients, peers, active clinical decision making, and overall exposure to diversity of disease.
The independent variable in this study is intensity, with the presumption that the number of patients is proportional to intensity, as codified by the Accreditation Council for Graduate Medical Education (ACGME) regulations regarding caps for admissions and service size. However, are 10 single‐organ chest pain patients the same intensity of 5 septic patients? The authors address this issue as much as possible by integrating expected mortality as a surrogate measure of intensity. Yet, given the heterogeneity of severity of illness even within a diagnosis, this too is likely to be an inaccurate measure of the true intensity of a service. Of course, such measures do not touch upon the social intensity that varies widely from patient to patient, which might be more time consuming and mentally exhausting than managing the diagnosis itself.
However, these limitations aside, this study's biggest contribution is that it raises the question that will define GME in the years to come, How does learning fluctuate with service intensity? The Yerkes‐Dodson curve was published in 1908, defining the relationship between stress and performance (Figure 1).[2] Many have interpreted the ACGME rules on admission caps and duty hours as being designed to make a kinder, gentler learning environment. However, as the curve suggests, optimizing service intensity (stress) is much more than just being nice; it is about optimizing performance, both in the way of patient care and learning. The question of how learning fluctuates with service intensity might be better framed as, What gets lost in the space as you move to the right of the optimal stress zone on the Yerkes‐Dodson curve?

Quality is first. This study correlates intensity with adverse events, and though there is a modest association, this likely underestimates the true magnitude of the problem. The measures in this study are documented adverse events, and are thus unlikely to capture the near misses that increase with heightened stress and intensity. Mistakes increase as mental bandwidth is insufficient to think through the consequences of each decision. Slipsthings you know you need to do but forget to doincrease as the mind becomes distracted.
Good work is next. All hospitalists know that it is possible to get a patient in and out of the hospital, but it is also possible to do so with such poor quality that the patient comes right back. Csikszentmihalyi described the concept of flow: the ability to become fully immersed in a task, concentrating on nothing except that task at hand.[3] What comes from flow is good work. Achieving flow requires the time to engage in a task, but it also requires that the mind is not distracted by the worry of what else needs to be done. As service intensity increases, so does fragmentation and distractions, both of which are enemies to flow. Achieving flow also might have implications for teaching and learning: Does it matter how good the teacher is, or how often she teaches, if the residents are so distracted that they are not mentally there and ready to receive that teaching?
The presumption underlying all GME is that practice makes perfect. However, practice does not make perfect; perfect practice makes perfect. Furthermore, just because you were physically there for an experience, does not mean you actually experienced it. It is possible to be engaged in a patient encounter, and mentally drive right past it, missing the full implications of the experience that would have presumptively allowed for improvement. The difference between practice and perfect practice is contingent upon mentally being there and upon the ability to reflect upon that experience such that improvement is possible. However, experiencing the experience and reflection require time and mental bandwidth; both are diminished as you move to the right of the optimal zone. One of the central roles of the attending is to help learners fully experience the experience and reflect upon how things could have been done better. Though not specifically addressed by this study, one wonders if an attending on an intense teaching service has the time to provide that counsel, and even if they do, if the residents are in a mental position to receive it.
This study assesses the implications of a highly intense service on patient outcomes; what is not assessed are the implications for the future patients who will receive care from these residents. In Strangers to Ourselves, Wilson describes the adaptive unconscious: the mind's ability to take routinely performed tasks and put them into an unconscious hard drive such that they can be completed at a later time without any conscious thought.[4] It is adaptive, because it allows multitasking while doing rote activities. However, it is dangerous too, because once a rote task has been relegated to the adaptive unconscious, it is beyond the ability of the conscious mind to inspect and change it. The exponential consequence of imperfect practice is that the wrong thing done again and again settles into the adaptive unconscious, and there it will be for the rest of that resident's career. What is not specifically explored by this study, though nonetheless reasonable to assume, is that as a teaching service's intensity increases, the quality and frequency of attending feedback and resident self‐reflection declines. The risk of a dysfunctional adaptive unconscious is inversely proportional to feedback and self‐reflection.
So how do we redesign the inpatient GME experience to optimize performance? The architect tasked with designing an optimal learning environment for an inpatient service is tasked with addressing both ends of the Yerkes‐Dodson curve. Too low of service intensity, residents lose out on exposure to diverse medical disease, and subsequent engagement in complex decision making requisite for developing their confidence and autonomy. Too high of service intensity, residents lose out on the teaching and feedback from their attendings, and the ability to truly experience and reflect upon the patients for whom they provide care. However, to do this effectively, the GME architect will need an accurate measure of inpatient intensity, something better than our current measures of duty hours and patient caps. Without that, it will be difficult to construct a learning environment that benefits not only the patients of today, but also the patients of tomorrow. One thing is for sure, the intensity of an inpatient service will only increase in the years to come, and the answer to the question of balancing intensity with learning, more than any other, will determine GME effectiveness. Achieving that balance will be a road of a thousand miles, but in raising this central question, this study gives us the first step.
- Associations between attending physician workload, teaching effectiveness, and patient safety. J Hosp Med. 2016;11:169–173. , , , , .
- The relation of strength of stimulus to rapidity of habit formation. J Comp Neurol Psychol. 1908;18:459–482. , .
- Flow: The Psychology of Optimal Experience. New York, NY: Harper and Row; 1990. .
- Strangers to Ourselves: Discovering the Adaptive Unconscious. Cambridge, MA: Harvard University Press; 2002. .
- Associations between attending physician workload, teaching effectiveness, and patient safety. J Hosp Med. 2016;11:169–173. , , , , .
- The relation of strength of stimulus to rapidity of habit formation. J Comp Neurol Psychol. 1908;18:459–482. , .
- Flow: The Psychology of Optimal Experience. New York, NY: Harper and Row; 1990. .
- Strangers to Ourselves: Discovering the Adaptive Unconscious. Cambridge, MA: Harvard University Press; 2002. .
Cosmetic Corner: Dermatologists Weigh in on Dermal Fillers
To improve patient care and outcomes, leading dermatologists offered their recommendations on dermal fillers. Consideration must be given to:
- Belotero Balance
Merz North America, Inc
“In my experience, this is the only filler available in the US market that can be used to treat very fine, “etched-in” lines without creating ridges or bumps.”
— Mark G. Rubin, MD, Beverly Hills, California
Recommended by Gary Goldenberg, MD, New York, New York
- Juvéderm Voluma XC
Allergan, Inc
“This is a longer-lasting dermal filler great for adding structural support and lift in the zygoma, chin, and jawline.”
—Anthony M. Rossi, MD, New York, New York
Recommended by Gary Goldenberg, MD, New York, New York
- Radiesse
Merz North America, Inc
Recommended by Gary Goldenberg, MD, New York, New York
- Restylane Lyft and Restylane Silk
Galderma Laboratories, LP
Recommended by Gary Goldenberg, MD, New York, New York
- Sculptra Aesthetic
Galderma Laboratories, LP
Recommended by Gary Goldenberg, MD, New York, New York
Cutis invites readers to send us their recommendations. Antiperspirants, shampoos, and conditioners will be featured in upcoming editions of Cosmetic Corner. Please e-mail your recommendation(s) to the Editorial Office.
Disclaimer: Opinions expressed herein do not necessarily reflect those of Cutis or Frontline Medical Communications Inc. and shall not be used for product endorsement purposes. Any reference made to a specific commercial product does not indicate or imply that Cutis or Frontline Medical Communications Inc. endorses, recommends, or favors the product mentioned. No guarantee is given to the effects of recommended products.
To improve patient care and outcomes, leading dermatologists offered their recommendations on dermal fillers. Consideration must be given to:
- Belotero Balance
Merz North America, Inc
“In my experience, this is the only filler available in the US market that can be used to treat very fine, “etched-in” lines without creating ridges or bumps.”
— Mark G. Rubin, MD, Beverly Hills, California
Recommended by Gary Goldenberg, MD, New York, New York
- Juvéderm Voluma XC
Allergan, Inc
“This is a longer-lasting dermal filler great for adding structural support and lift in the zygoma, chin, and jawline.”
—Anthony M. Rossi, MD, New York, New York
Recommended by Gary Goldenberg, MD, New York, New York
- Radiesse
Merz North America, Inc
Recommended by Gary Goldenberg, MD, New York, New York
- Restylane Lyft and Restylane Silk
Galderma Laboratories, LP
Recommended by Gary Goldenberg, MD, New York, New York
- Sculptra Aesthetic
Galderma Laboratories, LP
Recommended by Gary Goldenberg, MD, New York, New York
Cutis invites readers to send us their recommendations. Antiperspirants, shampoos, and conditioners will be featured in upcoming editions of Cosmetic Corner. Please e-mail your recommendation(s) to the Editorial Office.
Disclaimer: Opinions expressed herein do not necessarily reflect those of Cutis or Frontline Medical Communications Inc. and shall not be used for product endorsement purposes. Any reference made to a specific commercial product does not indicate or imply that Cutis or Frontline Medical Communications Inc. endorses, recommends, or favors the product mentioned. No guarantee is given to the effects of recommended products.
To improve patient care and outcomes, leading dermatologists offered their recommendations on dermal fillers. Consideration must be given to:
- Belotero Balance
Merz North America, Inc
“In my experience, this is the only filler available in the US market that can be used to treat very fine, “etched-in” lines without creating ridges or bumps.”
— Mark G. Rubin, MD, Beverly Hills, California
Recommended by Gary Goldenberg, MD, New York, New York
- Juvéderm Voluma XC
Allergan, Inc
“This is a longer-lasting dermal filler great for adding structural support and lift in the zygoma, chin, and jawline.”
—Anthony M. Rossi, MD, New York, New York
Recommended by Gary Goldenberg, MD, New York, New York
- Radiesse
Merz North America, Inc
Recommended by Gary Goldenberg, MD, New York, New York
- Restylane Lyft and Restylane Silk
Galderma Laboratories, LP
Recommended by Gary Goldenberg, MD, New York, New York
- Sculptra Aesthetic
Galderma Laboratories, LP
Recommended by Gary Goldenberg, MD, New York, New York
Cutis invites readers to send us their recommendations. Antiperspirants, shampoos, and conditioners will be featured in upcoming editions of Cosmetic Corner. Please e-mail your recommendation(s) to the Editorial Office.
Disclaimer: Opinions expressed herein do not necessarily reflect those of Cutis or Frontline Medical Communications Inc. and shall not be used for product endorsement purposes. Any reference made to a specific commercial product does not indicate or imply that Cutis or Frontline Medical Communications Inc. endorses, recommends, or favors the product mentioned. No guarantee is given to the effects of recommended products.
Point/Counterpoint: Self-employed community practice is still a viable proposition
YES
The recent 2-year bipartisan budget deal signed by President Obama and sent up by Congress brought the hammer down on hospitals so quickly that they did not see it coming. It is highly unusual for Congress to keep anything secreted from the American Hospital Association (AHA) lobby. The AHA spent $4.6 million in the first quarter of 2015 for an annual estimated expenditure of about $18 million. This does not include dollars spent by local and state hospital associations. The SVS is clearly dwarfed by these powerful interests. Our society spent less than $100,000 in that same quarter on advocating for over 4,000 members, the majority of whom are United States residents and most of whom depend solely on the SVS to look out for them.
As a result of the budget deal, Medicare will not pay most hospital-owned physician practices higher rates than those of independently owned practices. The reimbursement changes will apply to those hospital-owned physician practices acquired or opened since the date the law was signed and also located farther than 250 yards from a hospital’s main campus. It does grandfather in facilities prior to the signing that were being reimbursed with hospital outpatient department (HOPD) rates. The savings will prevent an increase in premiums for about 15 million Medicare beneficiaries. The AHA expressed its outrage while the AARP celebrated. So did independent physicians who have been protesting all along that costs were rising because of excessive payments to hospitals for essentially the same services.
Margot Sanger-Katz, in a column for “The Upshot” in the New York Times, wrote that it had been estimated that correcting this payment differential would save Medicare $30 billion over 10 years, more than Medicare could save if it raised the Medicare eligibility age to 67!1 She also pointed out that the Medicare Payment Advisory Committee (MedPAC), an independent group that advises Congress, thinks “that the pay differences should be narrowed, but only for a select set of medical services in which it’s really clear that there’s no difference between the care offered by a hospital and a physician office.”
The rush to buy physician practices is being done for many reasons but the disparate payment schedule favoring hospital-owned practices for many of the same services is one reason. The hospital brings in a lot more revenue through its hired physicians providing the same service in their offices that are now under the banner of the health system. The hospitals cite several justifications for the “surcharge” on care provided by employed physicians in hospital facilities, some of which may be valid. Regulatory requirements, sicker inpatients, increased cost due to training programs, and being required to support money-losing services such as burn care are some reasons. But, independent physicians say they provide the same or better quality care at a lower cost without resources such as legal, accounting, self-insurance against professional liability, and robust lobbying firms.
Hospitals have also contended that vertical integration by buying physician practices should lead to lower health care costs by squeezing efficiencies within the system. There have been conflicting reports on whether physician hospital integration leads to lower health care expenditures.2 The public debate has caught the attention of government regulators. In the recent case of Saint Lukes-Saltzer, the question before the Federal Trade Commission (the agency responsible for federal antitrust action) was: Did total medical expenditures increase or decrease for patients cared for by physician practices acquired by St. Luke’s? Indeed, the conclusions were that not only did overall costs not go down but evidence showed that the merger may have resulted in increased costs.
On appeal, the Ninth Circuit Court ruled that any future efficiency must be “substantial, verifiable and specific” to the merger. Ciliberto and Dranove looked at hospital prices after physician hospital affiliations in California and found no evidence of increase in prices.3 Baker and coauthors analyzed privately insured patients between 2001 and 2007 and the effect of physician hospital integration on hospital prices, admission volumes, and spending.4 They reported higher hospital prices and spending in hospitals with the tightest vertically integrated relationship with physicians. In one of the few studies of the issue, Capps and colleagues reviewed 7 years of administrative data from multiple insurers across the United States to estimate postintegration costs. From 2007 to 2013, they found that there was a 57% increase in the share of spending by physicians whose practices are owned by hospitals. In addition, this led to an increase in physician prices of 14% post integration.5 The larger the market share of inpatients by a hospital the larger the price increase. The authors estimate that about 25% of the price increases are precisely due to “exploitation of reimbursement rules” by charging the facility fees for their employed physicians. If these “surcharges” led to decreased utilization as one measure of increased efficiency and therefore reduced overall health care costs, it would be acceptable. But, Capps et al. found no such evidence and speculate that this scenario could lead to higher expenditures.
In a recent study, total expenditures for over 4 million patients by private physician groups or integrated groups covered by health maintenance organizations (HMOs) in California between 2009 and 2012 were analyzed.6 Mean annual expenditures were highest for large multihospital systems followed by hospital-owned physician groups and, lastly, physician-owned groups. The expenditures for multihospital systems were 19.8% higher and for local hospital-employed physician groups 10% higher compared to physician-owned organizations.
Why should prices increase after tighter physician hospital integration on a large scale? Market power. Once health systems have a large enough number of physicians in their panel, hospitals could charge insurers higher prices to access their specialists. Similarly, by employing a large number of physicians in a particular specialty, which then attracts a large pool of patients with a particular illness, they could dominate the other health systems in the region. One action specifically forbidden by anti-kickback laws is compensating physicians based on the number of referrals they make to the hospital. But, there are enough loopholes that allow hospitals to indirectly tie compensation to “productivity.” This may change with bundled payments or compensation tied to “value,” although there will always be incentives for work volume to some degree.
A further roadblock for basing merger decisions entirely on possible efficiencies is how the courts will see these activities in terms of antitrust actions. Most arguments using efficiency as the basis for merging physician groups with hospitals are vague and in general courts have not superseded antitrust actions with economic efficiency arguments.
What should be genuine reasons for hospitals employing and aligning with physicians? Addressing uneven quality of care, access and, of course, ever spiraling costs. If the object was to share responsibility for attacking these problems, health care systems and physicians would be cut a lot of slack. But, some health care systems want to not only survive the existing chaos but also dominate their local market.
I guess health care is really no different from Wall Street corporations in its focus on short-term gains versus long-term benefits. Until broader incentives change, health systems will continue to look to survive and gain market share and power. Competition, in isolation, drives tactics where the only objective may be to increase market share. However, it appears that the FTC will be busy wielding the Sherman Act of the antitrust law to keep a check on health systems to ensure consumers, payers, physicians, and the country at large are all on a fair playing field.7
Dr. Satiani is professor of clinical surgery, division of vascular diseases & surgery, department of surgery, associate director, FAME; director, Faculty Leadership Institute, and medical director, Vascular Labs, at Ohio State University College of Medicine, Columbus. He is also an associate medical editor for Vascular Specialist.
References
2. Journal of Health Economics 2006; 25: 1-28.
3. Journal of Health Economics 2006; 25: 29-38.
4. Health Affairs 2014; 33(5): 756-63.
5. www.ipr.northwestern.edu/publications/docs/workingpapers/2015/IPR-WP-15-02.pdf
6. JAMA. 2014; 312(16):1663-9.
7. Plastic & Reconstructive Surgery. 2006; 117(3): 1012-22.
NO
The days of hanging one’s shingle on a door and starting a self-employed practice are rapidly fading. While some fondly remember the practice of medicine as it was in Norman Rockwell’s classic “Before the Shot,” the realities of a current practice couldn’t be more different. Reusable syringes, analog weighing stations, an unaccompanied minor, and lack of regard for universal precautions are just a few examples from that painting that have long since disappeared. However, the humor in this painting comes from the young boy scrutinizing the doctor’s credentials, implying a sense of distrust and fear as he stands there with his buttocks partially exposed waiting for the vaccination.
This scrutiny of physician performance and results is more relevant today than ever before. Perhaps if we were to update the painting today, it would depict the boy furiously tapping away at his tablet searching through ProPublica to see what the doctor’s complication rate with the intended procedure truly is.
This is just one of the many pressures physicians are facing today. Navigating the publicly reported complication data is but one tiny portion of the regulatory red tape physicians face in taking care of their patients. If you add in the need to negotiate and contact with insurers, manage an office staff, acquire and maintain an electronic medical record (EMR) while ensuring that your EMR is properly secured against potential cyber threats and compliant with meaningful use regulations, audit your billing and coding, keep up to date with upcoming changes to bundled payments, mail out and track Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS), as well as an endless list of other requirements, it is no wonder physicians are less willing to take these challenges on as solo practitioners. In fact, based on Medscape’s 2014 Employed Doctors Report, which compiled responses from over 4,600 physicians, the top three reasons for being an employed physician were not having to deal with the business of running an office (58%), not having to deal with insurers and billing (45%), and guaranteed income/even cash flow (42%).1
Multiple sources continue to confirm the trend that more physicians are moving to an employed practice.2-4 In the last decade, the rate of hospital employment has increased from 11% to 64%.1 There are many factors that have pushed physicians away from self-employment. Some of these are related to physicians’ personal choices, and many are from external pressures. As various parts of the Affordable Care Act come into play, there will continue to be increasing regulatory demands. These have the potential of increasing overhead costs, and, coupled with decreasing reimbursement, will inevitably make staying profitable more challenging in a self-employed model.
There are two other very telling trends that foretell the inevitable decline of self-employed physicians. Fewer and fewer new graduates are reporting that they are self employed. In the most recent surveys, twice as many physicians under the age of 40 are employed than self-employed.1 Furthermore, 92% of residents surveyed in their final year would prefer employment with a salary, and only 2% would consider solo practice.5 Of these graduating residents, 36% specifically were considering hospital employment, which is nearly a 10-fold increase from a decade ago. The second factor affecting new hires is their confidence that they have the necessary skills to manage a self-employed model. During the same decade, there was only a small increase in graduating residents who felt very prepared to deal with the business side of medicine (10% vs. 2%).5 This lack of knowledge will undoubtedly make it difficult for those who would consider self-employment to feel comfortable in that practice model. Some have speculated that there is soon to be a “push back” from the physicians and specifically from specialists who don’t have as much to gain in large group practices. With so few graduates considering solo and small group practice, and the overwhelming majority not feeling very prepared to manage the business of medicine, who can help lead this trend reversal?
Not only are fewer new graduates choosing self-employment, but fewer opportunities for self-employment are available as more physician groups are being bought by hospitals or other large group practices. Specifically with vascular surgery, there is a significant overhead cost requirement. Advantages to joining a large group practice include better ability to negotiate cost savings with the frequent capital requirements for new equipment, updates and maintenance of the electronic records, and professional liability. In fact, one study in California shows that as the proportion of physicians employed by the health system increased, supply chain expenses and inventory costs improved.6 Furthermore, hospitals have administrators who are hired to negotiate with insurers regarding reimbursement and respond to audits and other regulatory changes. As mentioned above, the top two reasons for avoiding self-employment are precisely these. This will no doubt draw even more physicians and specifically vascular surgeons into employed models.
Dr. Haurani is assistant professor of surgery in the division of vascular diseases and surgery, Ohio State University Medical Center, Columbus.
References
1. www.medscape.com/features/slideshow/public/employed-doctors#1
3.Perspect Vasc Surg Endovasc Ther. 2013;25:46-52.
4 Tenn Med. 2012;105:38-39.
5.www.merritthawkins.com/uploadedFiles/MerrittHawkings/Surveys/2014_MerrittHawkins_FYMR_Survey.pdf.
6. Health Care Manage Rev. 2015 Jul 23. [Epub ahead of print] www.ncbi.nlm.nih.gov/pubmed/26207654
YES
The recent 2-year bipartisan budget deal signed by President Obama and sent up by Congress brought the hammer down on hospitals so quickly that they did not see it coming. It is highly unusual for Congress to keep anything secreted from the American Hospital Association (AHA) lobby. The AHA spent $4.6 million in the first quarter of 2015 for an annual estimated expenditure of about $18 million. This does not include dollars spent by local and state hospital associations. The SVS is clearly dwarfed by these powerful interests. Our society spent less than $100,000 in that same quarter on advocating for over 4,000 members, the majority of whom are United States residents and most of whom depend solely on the SVS to look out for them.
As a result of the budget deal, Medicare will not pay most hospital-owned physician practices higher rates than those of independently owned practices. The reimbursement changes will apply to those hospital-owned physician practices acquired or opened since the date the law was signed and also located farther than 250 yards from a hospital’s main campus. It does grandfather in facilities prior to the signing that were being reimbursed with hospital outpatient department (HOPD) rates. The savings will prevent an increase in premiums for about 15 million Medicare beneficiaries. The AHA expressed its outrage while the AARP celebrated. So did independent physicians who have been protesting all along that costs were rising because of excessive payments to hospitals for essentially the same services.
Margot Sanger-Katz, in a column for “The Upshot” in the New York Times, wrote that it had been estimated that correcting this payment differential would save Medicare $30 billion over 10 years, more than Medicare could save if it raised the Medicare eligibility age to 67!1 She also pointed out that the Medicare Payment Advisory Committee (MedPAC), an independent group that advises Congress, thinks “that the pay differences should be narrowed, but only for a select set of medical services in which it’s really clear that there’s no difference between the care offered by a hospital and a physician office.”
The rush to buy physician practices is being done for many reasons but the disparate payment schedule favoring hospital-owned practices for many of the same services is one reason. The hospital brings in a lot more revenue through its hired physicians providing the same service in their offices that are now under the banner of the health system. The hospitals cite several justifications for the “surcharge” on care provided by employed physicians in hospital facilities, some of which may be valid. Regulatory requirements, sicker inpatients, increased cost due to training programs, and being required to support money-losing services such as burn care are some reasons. But, independent physicians say they provide the same or better quality care at a lower cost without resources such as legal, accounting, self-insurance against professional liability, and robust lobbying firms.
Hospitals have also contended that vertical integration by buying physician practices should lead to lower health care costs by squeezing efficiencies within the system. There have been conflicting reports on whether physician hospital integration leads to lower health care expenditures.2 The public debate has caught the attention of government regulators. In the recent case of Saint Lukes-Saltzer, the question before the Federal Trade Commission (the agency responsible for federal antitrust action) was: Did total medical expenditures increase or decrease for patients cared for by physician practices acquired by St. Luke’s? Indeed, the conclusions were that not only did overall costs not go down but evidence showed that the merger may have resulted in increased costs.
On appeal, the Ninth Circuit Court ruled that any future efficiency must be “substantial, verifiable and specific” to the merger. Ciliberto and Dranove looked at hospital prices after physician hospital affiliations in California and found no evidence of increase in prices.3 Baker and coauthors analyzed privately insured patients between 2001 and 2007 and the effect of physician hospital integration on hospital prices, admission volumes, and spending.4 They reported higher hospital prices and spending in hospitals with the tightest vertically integrated relationship with physicians. In one of the few studies of the issue, Capps and colleagues reviewed 7 years of administrative data from multiple insurers across the United States to estimate postintegration costs. From 2007 to 2013, they found that there was a 57% increase in the share of spending by physicians whose practices are owned by hospitals. In addition, this led to an increase in physician prices of 14% post integration.5 The larger the market share of inpatients by a hospital the larger the price increase. The authors estimate that about 25% of the price increases are precisely due to “exploitation of reimbursement rules” by charging the facility fees for their employed physicians. If these “surcharges” led to decreased utilization as one measure of increased efficiency and therefore reduced overall health care costs, it would be acceptable. But, Capps et al. found no such evidence and speculate that this scenario could lead to higher expenditures.
In a recent study, total expenditures for over 4 million patients by private physician groups or integrated groups covered by health maintenance organizations (HMOs) in California between 2009 and 2012 were analyzed.6 Mean annual expenditures were highest for large multihospital systems followed by hospital-owned physician groups and, lastly, physician-owned groups. The expenditures for multihospital systems were 19.8% higher and for local hospital-employed physician groups 10% higher compared to physician-owned organizations.
Why should prices increase after tighter physician hospital integration on a large scale? Market power. Once health systems have a large enough number of physicians in their panel, hospitals could charge insurers higher prices to access their specialists. Similarly, by employing a large number of physicians in a particular specialty, which then attracts a large pool of patients with a particular illness, they could dominate the other health systems in the region. One action specifically forbidden by anti-kickback laws is compensating physicians based on the number of referrals they make to the hospital. But, there are enough loopholes that allow hospitals to indirectly tie compensation to “productivity.” This may change with bundled payments or compensation tied to “value,” although there will always be incentives for work volume to some degree.
A further roadblock for basing merger decisions entirely on possible efficiencies is how the courts will see these activities in terms of antitrust actions. Most arguments using efficiency as the basis for merging physician groups with hospitals are vague and in general courts have not superseded antitrust actions with economic efficiency arguments.
What should be genuine reasons for hospitals employing and aligning with physicians? Addressing uneven quality of care, access and, of course, ever spiraling costs. If the object was to share responsibility for attacking these problems, health care systems and physicians would be cut a lot of slack. But, some health care systems want to not only survive the existing chaos but also dominate their local market.
I guess health care is really no different from Wall Street corporations in its focus on short-term gains versus long-term benefits. Until broader incentives change, health systems will continue to look to survive and gain market share and power. Competition, in isolation, drives tactics where the only objective may be to increase market share. However, it appears that the FTC will be busy wielding the Sherman Act of the antitrust law to keep a check on health systems to ensure consumers, payers, physicians, and the country at large are all on a fair playing field.7
Dr. Satiani is professor of clinical surgery, division of vascular diseases & surgery, department of surgery, associate director, FAME; director, Faculty Leadership Institute, and medical director, Vascular Labs, at Ohio State University College of Medicine, Columbus. He is also an associate medical editor for Vascular Specialist.
References
2. Journal of Health Economics 2006; 25: 1-28.
3. Journal of Health Economics 2006; 25: 29-38.
4. Health Affairs 2014; 33(5): 756-63.
5. www.ipr.northwestern.edu/publications/docs/workingpapers/2015/IPR-WP-15-02.pdf
6. JAMA. 2014; 312(16):1663-9.
7. Plastic & Reconstructive Surgery. 2006; 117(3): 1012-22.
NO
The days of hanging one’s shingle on a door and starting a self-employed practice are rapidly fading. While some fondly remember the practice of medicine as it was in Norman Rockwell’s classic “Before the Shot,” the realities of a current practice couldn’t be more different. Reusable syringes, analog weighing stations, an unaccompanied minor, and lack of regard for universal precautions are just a few examples from that painting that have long since disappeared. However, the humor in this painting comes from the young boy scrutinizing the doctor’s credentials, implying a sense of distrust and fear as he stands there with his buttocks partially exposed waiting for the vaccination.
This scrutiny of physician performance and results is more relevant today than ever before. Perhaps if we were to update the painting today, it would depict the boy furiously tapping away at his tablet searching through ProPublica to see what the doctor’s complication rate with the intended procedure truly is.
This is just one of the many pressures physicians are facing today. Navigating the publicly reported complication data is but one tiny portion of the regulatory red tape physicians face in taking care of their patients. If you add in the need to negotiate and contact with insurers, manage an office staff, acquire and maintain an electronic medical record (EMR) while ensuring that your EMR is properly secured against potential cyber threats and compliant with meaningful use regulations, audit your billing and coding, keep up to date with upcoming changes to bundled payments, mail out and track Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS), as well as an endless list of other requirements, it is no wonder physicians are less willing to take these challenges on as solo practitioners. In fact, based on Medscape’s 2014 Employed Doctors Report, which compiled responses from over 4,600 physicians, the top three reasons for being an employed physician were not having to deal with the business of running an office (58%), not having to deal with insurers and billing (45%), and guaranteed income/even cash flow (42%).1
Multiple sources continue to confirm the trend that more physicians are moving to an employed practice.2-4 In the last decade, the rate of hospital employment has increased from 11% to 64%.1 There are many factors that have pushed physicians away from self-employment. Some of these are related to physicians’ personal choices, and many are from external pressures. As various parts of the Affordable Care Act come into play, there will continue to be increasing regulatory demands. These have the potential of increasing overhead costs, and, coupled with decreasing reimbursement, will inevitably make staying profitable more challenging in a self-employed model.
There are two other very telling trends that foretell the inevitable decline of self-employed physicians. Fewer and fewer new graduates are reporting that they are self employed. In the most recent surveys, twice as many physicians under the age of 40 are employed than self-employed.1 Furthermore, 92% of residents surveyed in their final year would prefer employment with a salary, and only 2% would consider solo practice.5 Of these graduating residents, 36% specifically were considering hospital employment, which is nearly a 10-fold increase from a decade ago. The second factor affecting new hires is their confidence that they have the necessary skills to manage a self-employed model. During the same decade, there was only a small increase in graduating residents who felt very prepared to deal with the business side of medicine (10% vs. 2%).5 This lack of knowledge will undoubtedly make it difficult for those who would consider self-employment to feel comfortable in that practice model. Some have speculated that there is soon to be a “push back” from the physicians and specifically from specialists who don’t have as much to gain in large group practices. With so few graduates considering solo and small group practice, and the overwhelming majority not feeling very prepared to manage the business of medicine, who can help lead this trend reversal?
Not only are fewer new graduates choosing self-employment, but fewer opportunities for self-employment are available as more physician groups are being bought by hospitals or other large group practices. Specifically with vascular surgery, there is a significant overhead cost requirement. Advantages to joining a large group practice include better ability to negotiate cost savings with the frequent capital requirements for new equipment, updates and maintenance of the electronic records, and professional liability. In fact, one study in California shows that as the proportion of physicians employed by the health system increased, supply chain expenses and inventory costs improved.6 Furthermore, hospitals have administrators who are hired to negotiate with insurers regarding reimbursement and respond to audits and other regulatory changes. As mentioned above, the top two reasons for avoiding self-employment are precisely these. This will no doubt draw even more physicians and specifically vascular surgeons into employed models.
Dr. Haurani is assistant professor of surgery in the division of vascular diseases and surgery, Ohio State University Medical Center, Columbus.
References
1. www.medscape.com/features/slideshow/public/employed-doctors#1
3.Perspect Vasc Surg Endovasc Ther. 2013;25:46-52.
4 Tenn Med. 2012;105:38-39.
5.www.merritthawkins.com/uploadedFiles/MerrittHawkings/Surveys/2014_MerrittHawkins_FYMR_Survey.pdf.
6. Health Care Manage Rev. 2015 Jul 23. [Epub ahead of print] www.ncbi.nlm.nih.gov/pubmed/26207654
YES
The recent 2-year bipartisan budget deal signed by President Obama and sent up by Congress brought the hammer down on hospitals so quickly that they did not see it coming. It is highly unusual for Congress to keep anything secreted from the American Hospital Association (AHA) lobby. The AHA spent $4.6 million in the first quarter of 2015 for an annual estimated expenditure of about $18 million. This does not include dollars spent by local and state hospital associations. The SVS is clearly dwarfed by these powerful interests. Our society spent less than $100,000 in that same quarter on advocating for over 4,000 members, the majority of whom are United States residents and most of whom depend solely on the SVS to look out for them.
As a result of the budget deal, Medicare will not pay most hospital-owned physician practices higher rates than those of independently owned practices. The reimbursement changes will apply to those hospital-owned physician practices acquired or opened since the date the law was signed and also located farther than 250 yards from a hospital’s main campus. It does grandfather in facilities prior to the signing that were being reimbursed with hospital outpatient department (HOPD) rates. The savings will prevent an increase in premiums for about 15 million Medicare beneficiaries. The AHA expressed its outrage while the AARP celebrated. So did independent physicians who have been protesting all along that costs were rising because of excessive payments to hospitals for essentially the same services.
Margot Sanger-Katz, in a column for “The Upshot” in the New York Times, wrote that it had been estimated that correcting this payment differential would save Medicare $30 billion over 10 years, more than Medicare could save if it raised the Medicare eligibility age to 67!1 She also pointed out that the Medicare Payment Advisory Committee (MedPAC), an independent group that advises Congress, thinks “that the pay differences should be narrowed, but only for a select set of medical services in which it’s really clear that there’s no difference between the care offered by a hospital and a physician office.”
The rush to buy physician practices is being done for many reasons but the disparate payment schedule favoring hospital-owned practices for many of the same services is one reason. The hospital brings in a lot more revenue through its hired physicians providing the same service in their offices that are now under the banner of the health system. The hospitals cite several justifications for the “surcharge” on care provided by employed physicians in hospital facilities, some of which may be valid. Regulatory requirements, sicker inpatients, increased cost due to training programs, and being required to support money-losing services such as burn care are some reasons. But, independent physicians say they provide the same or better quality care at a lower cost without resources such as legal, accounting, self-insurance against professional liability, and robust lobbying firms.
Hospitals have also contended that vertical integration by buying physician practices should lead to lower health care costs by squeezing efficiencies within the system. There have been conflicting reports on whether physician hospital integration leads to lower health care expenditures.2 The public debate has caught the attention of government regulators. In the recent case of Saint Lukes-Saltzer, the question before the Federal Trade Commission (the agency responsible for federal antitrust action) was: Did total medical expenditures increase or decrease for patients cared for by physician practices acquired by St. Luke’s? Indeed, the conclusions were that not only did overall costs not go down but evidence showed that the merger may have resulted in increased costs.
On appeal, the Ninth Circuit Court ruled that any future efficiency must be “substantial, verifiable and specific” to the merger. Ciliberto and Dranove looked at hospital prices after physician hospital affiliations in California and found no evidence of increase in prices.3 Baker and coauthors analyzed privately insured patients between 2001 and 2007 and the effect of physician hospital integration on hospital prices, admission volumes, and spending.4 They reported higher hospital prices and spending in hospitals with the tightest vertically integrated relationship with physicians. In one of the few studies of the issue, Capps and colleagues reviewed 7 years of administrative data from multiple insurers across the United States to estimate postintegration costs. From 2007 to 2013, they found that there was a 57% increase in the share of spending by physicians whose practices are owned by hospitals. In addition, this led to an increase in physician prices of 14% post integration.5 The larger the market share of inpatients by a hospital the larger the price increase. The authors estimate that about 25% of the price increases are precisely due to “exploitation of reimbursement rules” by charging the facility fees for their employed physicians. If these “surcharges” led to decreased utilization as one measure of increased efficiency and therefore reduced overall health care costs, it would be acceptable. But, Capps et al. found no such evidence and speculate that this scenario could lead to higher expenditures.
In a recent study, total expenditures for over 4 million patients by private physician groups or integrated groups covered by health maintenance organizations (HMOs) in California between 2009 and 2012 were analyzed.6 Mean annual expenditures were highest for large multihospital systems followed by hospital-owned physician groups and, lastly, physician-owned groups. The expenditures for multihospital systems were 19.8% higher and for local hospital-employed physician groups 10% higher compared to physician-owned organizations.
Why should prices increase after tighter physician hospital integration on a large scale? Market power. Once health systems have a large enough number of physicians in their panel, hospitals could charge insurers higher prices to access their specialists. Similarly, by employing a large number of physicians in a particular specialty, which then attracts a large pool of patients with a particular illness, they could dominate the other health systems in the region. One action specifically forbidden by anti-kickback laws is compensating physicians based on the number of referrals they make to the hospital. But, there are enough loopholes that allow hospitals to indirectly tie compensation to “productivity.” This may change with bundled payments or compensation tied to “value,” although there will always be incentives for work volume to some degree.
A further roadblock for basing merger decisions entirely on possible efficiencies is how the courts will see these activities in terms of antitrust actions. Most arguments using efficiency as the basis for merging physician groups with hospitals are vague and in general courts have not superseded antitrust actions with economic efficiency arguments.
What should be genuine reasons for hospitals employing and aligning with physicians? Addressing uneven quality of care, access and, of course, ever spiraling costs. If the object was to share responsibility for attacking these problems, health care systems and physicians would be cut a lot of slack. But, some health care systems want to not only survive the existing chaos but also dominate their local market.
I guess health care is really no different from Wall Street corporations in its focus on short-term gains versus long-term benefits. Until broader incentives change, health systems will continue to look to survive and gain market share and power. Competition, in isolation, drives tactics where the only objective may be to increase market share. However, it appears that the FTC will be busy wielding the Sherman Act of the antitrust law to keep a check on health systems to ensure consumers, payers, physicians, and the country at large are all on a fair playing field.7
Dr. Satiani is professor of clinical surgery, division of vascular diseases & surgery, department of surgery, associate director, FAME; director, Faculty Leadership Institute, and medical director, Vascular Labs, at Ohio State University College of Medicine, Columbus. He is also an associate medical editor for Vascular Specialist.
References
2. Journal of Health Economics 2006; 25: 1-28.
3. Journal of Health Economics 2006; 25: 29-38.
4. Health Affairs 2014; 33(5): 756-63.
5. www.ipr.northwestern.edu/publications/docs/workingpapers/2015/IPR-WP-15-02.pdf
6. JAMA. 2014; 312(16):1663-9.
7. Plastic & Reconstructive Surgery. 2006; 117(3): 1012-22.
NO
The days of hanging one’s shingle on a door and starting a self-employed practice are rapidly fading. While some fondly remember the practice of medicine as it was in Norman Rockwell’s classic “Before the Shot,” the realities of a current practice couldn’t be more different. Reusable syringes, analog weighing stations, an unaccompanied minor, and lack of regard for universal precautions are just a few examples from that painting that have long since disappeared. However, the humor in this painting comes from the young boy scrutinizing the doctor’s credentials, implying a sense of distrust and fear as he stands there with his buttocks partially exposed waiting for the vaccination.
This scrutiny of physician performance and results is more relevant today than ever before. Perhaps if we were to update the painting today, it would depict the boy furiously tapping away at his tablet searching through ProPublica to see what the doctor’s complication rate with the intended procedure truly is.
This is just one of the many pressures physicians are facing today. Navigating the publicly reported complication data is but one tiny portion of the regulatory red tape physicians face in taking care of their patients. If you add in the need to negotiate and contact with insurers, manage an office staff, acquire and maintain an electronic medical record (EMR) while ensuring that your EMR is properly secured against potential cyber threats and compliant with meaningful use regulations, audit your billing and coding, keep up to date with upcoming changes to bundled payments, mail out and track Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS), as well as an endless list of other requirements, it is no wonder physicians are less willing to take these challenges on as solo practitioners. In fact, based on Medscape’s 2014 Employed Doctors Report, which compiled responses from over 4,600 physicians, the top three reasons for being an employed physician were not having to deal with the business of running an office (58%), not having to deal with insurers and billing (45%), and guaranteed income/even cash flow (42%).1
Multiple sources continue to confirm the trend that more physicians are moving to an employed practice.2-4 In the last decade, the rate of hospital employment has increased from 11% to 64%.1 There are many factors that have pushed physicians away from self-employment. Some of these are related to physicians’ personal choices, and many are from external pressures. As various parts of the Affordable Care Act come into play, there will continue to be increasing regulatory demands. These have the potential of increasing overhead costs, and, coupled with decreasing reimbursement, will inevitably make staying profitable more challenging in a self-employed model.
There are two other very telling trends that foretell the inevitable decline of self-employed physicians. Fewer and fewer new graduates are reporting that they are self employed. In the most recent surveys, twice as many physicians under the age of 40 are employed than self-employed.1 Furthermore, 92% of residents surveyed in their final year would prefer employment with a salary, and only 2% would consider solo practice.5 Of these graduating residents, 36% specifically were considering hospital employment, which is nearly a 10-fold increase from a decade ago. The second factor affecting new hires is their confidence that they have the necessary skills to manage a self-employed model. During the same decade, there was only a small increase in graduating residents who felt very prepared to deal with the business side of medicine (10% vs. 2%).5 This lack of knowledge will undoubtedly make it difficult for those who would consider self-employment to feel comfortable in that practice model. Some have speculated that there is soon to be a “push back” from the physicians and specifically from specialists who don’t have as much to gain in large group practices. With so few graduates considering solo and small group practice, and the overwhelming majority not feeling very prepared to manage the business of medicine, who can help lead this trend reversal?
Not only are fewer new graduates choosing self-employment, but fewer opportunities for self-employment are available as more physician groups are being bought by hospitals or other large group practices. Specifically with vascular surgery, there is a significant overhead cost requirement. Advantages to joining a large group practice include better ability to negotiate cost savings with the frequent capital requirements for new equipment, updates and maintenance of the electronic records, and professional liability. In fact, one study in California shows that as the proportion of physicians employed by the health system increased, supply chain expenses and inventory costs improved.6 Furthermore, hospitals have administrators who are hired to negotiate with insurers regarding reimbursement and respond to audits and other regulatory changes. As mentioned above, the top two reasons for avoiding self-employment are precisely these. This will no doubt draw even more physicians and specifically vascular surgeons into employed models.
Dr. Haurani is assistant professor of surgery in the division of vascular diseases and surgery, Ohio State University Medical Center, Columbus.
References
1. www.medscape.com/features/slideshow/public/employed-doctors#1
3.Perspect Vasc Surg Endovasc Ther. 2013;25:46-52.
4 Tenn Med. 2012;105:38-39.
5.www.merritthawkins.com/uploadedFiles/MerrittHawkings/Surveys/2014_MerrittHawkins_FYMR_Survey.pdf.
6. Health Care Manage Rev. 2015 Jul 23. [Epub ahead of print] www.ncbi.nlm.nih.gov/pubmed/26207654
Cold weather linked to increase in strokes, MI
ORLANDO – Cold temperature days were associated with a 28% increase in the risk of MI and a 15% increase in stroke over an 18-year period in Ontario, Hong Chen, Ph.D., reported at the American Heart Association scientific sessions.
The relationship between air temperature and cardiovascular events mapped out as a U-shaped pattern, with the lowest-risk trough occurring on days when the temperature averaged 54º F. However, the U-shape was skewed such that the increased risk achieved significance on the cold but not hot days, according to Dr. Chen of Public Health Ontario and the University of Toronto.
He and his coinvestigators looked at the relationship between daily temperature and cardiovascular risk because the epidemiologic data in this area was sparse even though there are intriguing animal studies suggesting that extreme cold weather can induce a prothrombotic inflammatory reaction and hypercoagulable state.
The investigators matched daily temperature and cardiovascular hospital admission data for all 14 health districts in the sprawling province of Ontario for the period 1996-2013. During the study period, there were 443,447 hospitalizations for acute MI, 355,837 for stroke, 237,979 for ischemic stroke, and 1.4 million admissions coded as ischemic heart disease.
In a multivariate analysis controlling for influenza activity, air pollution levels, relative humidity, and day of the week, the adjusted rate of admissions for MI was 28% greater on the coldest 1% of days than on days where the temperature averaged the optimal 54º F. The coldest days were also associated with a 12% increase in the risk of admission for ischemic heart disease, a 15% increase in stroke, and a 19% increase in ischemic stroke.
Dr. Chen and his coworkers also examined their mountain of data to see how selected comorbid conditions might affect temperature-related risk. They found that the risk of admission for ischemic heart disease on cold days was greatest among individuals with a history of conduction disorders, while the risk of cold-related stroke was highest in Ontarians with preexisting arrhythmias.
Dr. Chen reported having no financial conflicts of interest regarding this public health study.
ORLANDO – Cold temperature days were associated with a 28% increase in the risk of MI and a 15% increase in stroke over an 18-year period in Ontario, Hong Chen, Ph.D., reported at the American Heart Association scientific sessions.
The relationship between air temperature and cardiovascular events mapped out as a U-shaped pattern, with the lowest-risk trough occurring on days when the temperature averaged 54º F. However, the U-shape was skewed such that the increased risk achieved significance on the cold but not hot days, according to Dr. Chen of Public Health Ontario and the University of Toronto.
He and his coinvestigators looked at the relationship between daily temperature and cardiovascular risk because the epidemiologic data in this area was sparse even though there are intriguing animal studies suggesting that extreme cold weather can induce a prothrombotic inflammatory reaction and hypercoagulable state.
The investigators matched daily temperature and cardiovascular hospital admission data for all 14 health districts in the sprawling province of Ontario for the period 1996-2013. During the study period, there were 443,447 hospitalizations for acute MI, 355,837 for stroke, 237,979 for ischemic stroke, and 1.4 million admissions coded as ischemic heart disease.
In a multivariate analysis controlling for influenza activity, air pollution levels, relative humidity, and day of the week, the adjusted rate of admissions for MI was 28% greater on the coldest 1% of days than on days where the temperature averaged the optimal 54º F. The coldest days were also associated with a 12% increase in the risk of admission for ischemic heart disease, a 15% increase in stroke, and a 19% increase in ischemic stroke.
Dr. Chen and his coworkers also examined their mountain of data to see how selected comorbid conditions might affect temperature-related risk. They found that the risk of admission for ischemic heart disease on cold days was greatest among individuals with a history of conduction disorders, while the risk of cold-related stroke was highest in Ontarians with preexisting arrhythmias.
Dr. Chen reported having no financial conflicts of interest regarding this public health study.
ORLANDO – Cold temperature days were associated with a 28% increase in the risk of MI and a 15% increase in stroke over an 18-year period in Ontario, Hong Chen, Ph.D., reported at the American Heart Association scientific sessions.
The relationship between air temperature and cardiovascular events mapped out as a U-shaped pattern, with the lowest-risk trough occurring on days when the temperature averaged 54º F. However, the U-shape was skewed such that the increased risk achieved significance on the cold but not hot days, according to Dr. Chen of Public Health Ontario and the University of Toronto.
He and his coinvestigators looked at the relationship between daily temperature and cardiovascular risk because the epidemiologic data in this area was sparse even though there are intriguing animal studies suggesting that extreme cold weather can induce a prothrombotic inflammatory reaction and hypercoagulable state.
The investigators matched daily temperature and cardiovascular hospital admission data for all 14 health districts in the sprawling province of Ontario for the period 1996-2013. During the study period, there were 443,447 hospitalizations for acute MI, 355,837 for stroke, 237,979 for ischemic stroke, and 1.4 million admissions coded as ischemic heart disease.
In a multivariate analysis controlling for influenza activity, air pollution levels, relative humidity, and day of the week, the adjusted rate of admissions for MI was 28% greater on the coldest 1% of days than on days where the temperature averaged the optimal 54º F. The coldest days were also associated with a 12% increase in the risk of admission for ischemic heart disease, a 15% increase in stroke, and a 19% increase in ischemic stroke.
Dr. Chen and his coworkers also examined their mountain of data to see how selected comorbid conditions might affect temperature-related risk. They found that the risk of admission for ischemic heart disease on cold days was greatest among individuals with a history of conduction disorders, while the risk of cold-related stroke was highest in Ontarians with preexisting arrhythmias.
Dr. Chen reported having no financial conflicts of interest regarding this public health study.
AT THE AHA SCIENTIFIC SESSIONS
Key clinical point: Expect noticeably more hospital admissions for stroke and ischemic heart disease on cold weather days.
Major finding: Cold weather brought a 15% increase in the risk of hospital admission for stroke and a 28% rise in admissions for acute MI in Ontario, compared with days when the average temperature was 54º F.
Data source: This retrospective study looked at the association between daily temperature and the risk of hospital admission for acute MI, stroke, and other cardiovascular events over an 18-year period across Ontario.
Disclosures: The presenter reported having no financial conflicts of interest regarding this public health study.
ACR: Etanercept during pregnancy doubles the odds of major malformations
SAN FRANCISCO – Etanercept during pregnancy more than doubled the risk of major congenital malformations in a study by the Organization of Teratology Information Specialists.
The group keeps a prospective registry on exposures to biologics during pregnancy. It is finishing up its adalimumab (Humira) investigation and hasn’t found much to worry about, and continues to gather data on abatacept (Orencia), tocilizumab (Actemra), tofacitinib (Xeljanz), apremilast (Otezla), and certolizumab pegol (Cimzia).
Etanercept (Enbrel), however, seems to be a different story; major malformations turned up in the group’s recently completed investigation. Even so, Organization of Teratology Information Specialists (OTIS) investigator Dr. Christina D. Chambers, Ph.D., of the University of California, San Diego, was careful to note at the annual meeting of the American College of Rheumatology that “etanercept is not meeting the criteria for causality. There’s no pattern” in major defects and “no biological plausibility” because the drug doesn’t seem to cross the placenta when the fetus is most vulnerable to adverse outcomes.
“It is difficult to draw the conclusion that this drug is causing harm. With true teratogens, you tend to see reduced birth weights and an increased risk of spontaneous abortion, which is not the case with etanercept. We are seeing only this one finding that kind of stands alone, and everything else looks pretty good,” she said.
The etanercept study investigated pregnancy outcomes in 370 women exposed to the drug while pregnant, mostly women with rheumatoid arthritis, but also women with psoriasis and ankylosing spondylitis. Their outcomes were compared with 164 pregnant women with the same diseases but no etanercept exposure – the disease control group – and 296 healthy pregnant women.
Women in all three groups were about 33 years old on average, and about 80% were white. The women were enrolled toward the end of their first trimester. Disease severity, comorbidities, and use of vitamins, alcohol, and tobacco were similar between etanercept and disease control women. About 40% of the etanercept and disease control women, but just one in the healthy pregnancy group, were exposed to systemic corticosteroids while pregnant.
There were 33 major structural defects in children born to women taking etanercept versus 7 in the disease control group. That translated to a more than doubling of risk with etanercept (odds ratio, 2.37; 95% confidence interval, 1.02-5.52), and a more than doubling of risk versus the 10 major structural defects in children born to healthy control women (OR, 2.91; 95% CI, 1.37-6.76).
A subanalysis excluded chromosomal anomalies, but “did not [change] our conclusions,” Dr. Chambers said.
Major structural defects generally refer to problems that need a surgical fix, including spina bifida, atrial septal defects, cleft palates, hypospadias, polydactyly, and craniosynostosis.
Minor defects that don’t need surgery, like a missing earlobe, occurred in six children exposed to etanercept and showed two different patterns that involved “three specific minor malformations” not seen in either of the control groups, Dr. Chambers said. She did not elaborate on what those patterns were, but noted that the parents usually had them, too, “suggesting a genetic component as opposed to a drug effect.”
Children in the three study groups had no statistically significant differences in 1-year malignancy rates, serious infections, and hospitalizations, even when exposed to etanercept in the third trimester.
Children exposed to etanercept, however, were more likely to be born preterm and more likely to be small for gestational age in weight, length, and head circumference. They were also more likely than disease control children to screen positive for developmental issues at 1 year, but none of those differences were statistically significant.
Dr. Chambers disclosed funding from 14 companies, including Amgen, the maker of etanercept, and Janssen, Pfizer, Roche, Sanofi/Genzyme, GlaxoSmithKline, and AbbVie, the maker of adalimumab.
SAN FRANCISCO – Etanercept during pregnancy more than doubled the risk of major congenital malformations in a study by the Organization of Teratology Information Specialists.
The group keeps a prospective registry on exposures to biologics during pregnancy. It is finishing up its adalimumab (Humira) investigation and hasn’t found much to worry about, and continues to gather data on abatacept (Orencia), tocilizumab (Actemra), tofacitinib (Xeljanz), apremilast (Otezla), and certolizumab pegol (Cimzia).
Etanercept (Enbrel), however, seems to be a different story; major malformations turned up in the group’s recently completed investigation. Even so, Organization of Teratology Information Specialists (OTIS) investigator Dr. Christina D. Chambers, Ph.D., of the University of California, San Diego, was careful to note at the annual meeting of the American College of Rheumatology that “etanercept is not meeting the criteria for causality. There’s no pattern” in major defects and “no biological plausibility” because the drug doesn’t seem to cross the placenta when the fetus is most vulnerable to adverse outcomes.
“It is difficult to draw the conclusion that this drug is causing harm. With true teratogens, you tend to see reduced birth weights and an increased risk of spontaneous abortion, which is not the case with etanercept. We are seeing only this one finding that kind of stands alone, and everything else looks pretty good,” she said.
The etanercept study investigated pregnancy outcomes in 370 women exposed to the drug while pregnant, mostly women with rheumatoid arthritis, but also women with psoriasis and ankylosing spondylitis. Their outcomes were compared with 164 pregnant women with the same diseases but no etanercept exposure – the disease control group – and 296 healthy pregnant women.
Women in all three groups were about 33 years old on average, and about 80% were white. The women were enrolled toward the end of their first trimester. Disease severity, comorbidities, and use of vitamins, alcohol, and tobacco were similar between etanercept and disease control women. About 40% of the etanercept and disease control women, but just one in the healthy pregnancy group, were exposed to systemic corticosteroids while pregnant.
There were 33 major structural defects in children born to women taking etanercept versus 7 in the disease control group. That translated to a more than doubling of risk with etanercept (odds ratio, 2.37; 95% confidence interval, 1.02-5.52), and a more than doubling of risk versus the 10 major structural defects in children born to healthy control women (OR, 2.91; 95% CI, 1.37-6.76).
A subanalysis excluded chromosomal anomalies, but “did not [change] our conclusions,” Dr. Chambers said.
Major structural defects generally refer to problems that need a surgical fix, including spina bifida, atrial septal defects, cleft palates, hypospadias, polydactyly, and craniosynostosis.
Minor defects that don’t need surgery, like a missing earlobe, occurred in six children exposed to etanercept and showed two different patterns that involved “three specific minor malformations” not seen in either of the control groups, Dr. Chambers said. She did not elaborate on what those patterns were, but noted that the parents usually had them, too, “suggesting a genetic component as opposed to a drug effect.”
Children in the three study groups had no statistically significant differences in 1-year malignancy rates, serious infections, and hospitalizations, even when exposed to etanercept in the third trimester.
Children exposed to etanercept, however, were more likely to be born preterm and more likely to be small for gestational age in weight, length, and head circumference. They were also more likely than disease control children to screen positive for developmental issues at 1 year, but none of those differences were statistically significant.
Dr. Chambers disclosed funding from 14 companies, including Amgen, the maker of etanercept, and Janssen, Pfizer, Roche, Sanofi/Genzyme, GlaxoSmithKline, and AbbVie, the maker of adalimumab.
SAN FRANCISCO – Etanercept during pregnancy more than doubled the risk of major congenital malformations in a study by the Organization of Teratology Information Specialists.
The group keeps a prospective registry on exposures to biologics during pregnancy. It is finishing up its adalimumab (Humira) investigation and hasn’t found much to worry about, and continues to gather data on abatacept (Orencia), tocilizumab (Actemra), tofacitinib (Xeljanz), apremilast (Otezla), and certolizumab pegol (Cimzia).
Etanercept (Enbrel), however, seems to be a different story; major malformations turned up in the group’s recently completed investigation. Even so, Organization of Teratology Information Specialists (OTIS) investigator Dr. Christina D. Chambers, Ph.D., of the University of California, San Diego, was careful to note at the annual meeting of the American College of Rheumatology that “etanercept is not meeting the criteria for causality. There’s no pattern” in major defects and “no biological plausibility” because the drug doesn’t seem to cross the placenta when the fetus is most vulnerable to adverse outcomes.
“It is difficult to draw the conclusion that this drug is causing harm. With true teratogens, you tend to see reduced birth weights and an increased risk of spontaneous abortion, which is not the case with etanercept. We are seeing only this one finding that kind of stands alone, and everything else looks pretty good,” she said.
The etanercept study investigated pregnancy outcomes in 370 women exposed to the drug while pregnant, mostly women with rheumatoid arthritis, but also women with psoriasis and ankylosing spondylitis. Their outcomes were compared with 164 pregnant women with the same diseases but no etanercept exposure – the disease control group – and 296 healthy pregnant women.
Women in all three groups were about 33 years old on average, and about 80% were white. The women were enrolled toward the end of their first trimester. Disease severity, comorbidities, and use of vitamins, alcohol, and tobacco were similar between etanercept and disease control women. About 40% of the etanercept and disease control women, but just one in the healthy pregnancy group, were exposed to systemic corticosteroids while pregnant.
There were 33 major structural defects in children born to women taking etanercept versus 7 in the disease control group. That translated to a more than doubling of risk with etanercept (odds ratio, 2.37; 95% confidence interval, 1.02-5.52), and a more than doubling of risk versus the 10 major structural defects in children born to healthy control women (OR, 2.91; 95% CI, 1.37-6.76).
A subanalysis excluded chromosomal anomalies, but “did not [change] our conclusions,” Dr. Chambers said.
Major structural defects generally refer to problems that need a surgical fix, including spina bifida, atrial septal defects, cleft palates, hypospadias, polydactyly, and craniosynostosis.
Minor defects that don’t need surgery, like a missing earlobe, occurred in six children exposed to etanercept and showed two different patterns that involved “three specific minor malformations” not seen in either of the control groups, Dr. Chambers said. She did not elaborate on what those patterns were, but noted that the parents usually had them, too, “suggesting a genetic component as opposed to a drug effect.”
Children in the three study groups had no statistically significant differences in 1-year malignancy rates, serious infections, and hospitalizations, even when exposed to etanercept in the third trimester.
Children exposed to etanercept, however, were more likely to be born preterm and more likely to be small for gestational age in weight, length, and head circumference. They were also more likely than disease control children to screen positive for developmental issues at 1 year, but none of those differences were statistically significant.
Dr. Chambers disclosed funding from 14 companies, including Amgen, the maker of etanercept, and Janssen, Pfizer, Roche, Sanofi/Genzyme, GlaxoSmithKline, and AbbVie, the maker of adalimumab.
AT THE ACR ANNUAL MEETING
Key clinical point: Although etanercept exposure was associated with more than twofold higher odds of major structural defects, there was no pattern to the defects and no biological plausibility to etanercept causing the defects.
Major finding: There were 33 major structural defects in children born to etanercept women versus 7 in a disease comparison group, translating to a more than doubling of risk with etanercept (OR, 2.37; 95% CI, 1.02-5.52).
Data source: Prospective investigation of 830 pregnant women.
Disclosures: The presenting investigator disclosed funding from 14 companies, including Amgen, the maker of etanercept, and AbbVie, the maker of adalimumab.
January 2016 Quiz 2
Q2: ANSWER: B
Critique
Cyclic vomiting syndrome (CVS) is characterized by typical vomiting episodes regarding onset and duration, which usually occur three or more times per year. Typically, there is absence of nausea and vomiting between episodes. CVS affects both genders; however, there does appear to be a hormonal influence in women, with 57% of women with CVS reporting an association with menses. Tricyclic antidepressants have been shown to be effective as a prophylactic agent in several small studies with amitriptyline being the most commonly studied medication. Namin and colleagues investigated 31 adult patients who fit the Rome II criteria for CVS. Twenty-seven patients were treated with amitriptyline and completed scales for anxiety, depression, and symptoms. Eighty-four percent suffered from an anxiety disorder, and 78% revealed depression. The patients were started on a low dose of amitriptyline and titrated up to a goal of 1 mg/kg per day. After an average of 16.8 months, the Visual Analog Scale revealed a significant mean improvement (P less than .05) in severity of their symptoms by 6.1. Additionally, there was 78% improvement in vomiting, 75.3% improvement in pain, and 69.3% improvement in nausea.
Choice A: Domperidone has not been found to be beneficial in CVS.
Choice C: Metoclopramide does not decrease symptom recurrence in CVS.
Choice D: Selective serotonin reuptake inhibitors have not been shown in clinical trials to decrease CVS recurrence.
Choice E: Proton pump inhibitors can help as an adjunct to suppress gastric secretion. However, they do not decrease the frequency of CVS episodes.
References
- Namin F., et al. Clinical, psychiatric, and manometric profile of cyclic vomiting syndrome in adults and response to tricyclic therapy. Neurogastroenterol Motil. 2007;19:196-202.
Q2: ANSWER: B
Critique
Cyclic vomiting syndrome (CVS) is characterized by typical vomiting episodes regarding onset and duration, which usually occur three or more times per year. Typically, there is absence of nausea and vomiting between episodes. CVS affects both genders; however, there does appear to be a hormonal influence in women, with 57% of women with CVS reporting an association with menses. Tricyclic antidepressants have been shown to be effective as a prophylactic agent in several small studies with amitriptyline being the most commonly studied medication. Namin and colleagues investigated 31 adult patients who fit the Rome II criteria for CVS. Twenty-seven patients were treated with amitriptyline and completed scales for anxiety, depression, and symptoms. Eighty-four percent suffered from an anxiety disorder, and 78% revealed depression. The patients were started on a low dose of amitriptyline and titrated up to a goal of 1 mg/kg per day. After an average of 16.8 months, the Visual Analog Scale revealed a significant mean improvement (P less than .05) in severity of their symptoms by 6.1. Additionally, there was 78% improvement in vomiting, 75.3% improvement in pain, and 69.3% improvement in nausea.
Choice A: Domperidone has not been found to be beneficial in CVS.
Choice C: Metoclopramide does not decrease symptom recurrence in CVS.
Choice D: Selective serotonin reuptake inhibitors have not been shown in clinical trials to decrease CVS recurrence.
Choice E: Proton pump inhibitors can help as an adjunct to suppress gastric secretion. However, they do not decrease the frequency of CVS episodes.
References
- Namin F., et al. Clinical, psychiatric, and manometric profile of cyclic vomiting syndrome in adults and response to tricyclic therapy. Neurogastroenterol Motil. 2007;19:196-202.
Q2: ANSWER: B
Critique
Cyclic vomiting syndrome (CVS) is characterized by typical vomiting episodes regarding onset and duration, which usually occur three or more times per year. Typically, there is absence of nausea and vomiting between episodes. CVS affects both genders; however, there does appear to be a hormonal influence in women, with 57% of women with CVS reporting an association with menses. Tricyclic antidepressants have been shown to be effective as a prophylactic agent in several small studies with amitriptyline being the most commonly studied medication. Namin and colleagues investigated 31 adult patients who fit the Rome II criteria for CVS. Twenty-seven patients were treated with amitriptyline and completed scales for anxiety, depression, and symptoms. Eighty-four percent suffered from an anxiety disorder, and 78% revealed depression. The patients were started on a low dose of amitriptyline and titrated up to a goal of 1 mg/kg per day. After an average of 16.8 months, the Visual Analog Scale revealed a significant mean improvement (P less than .05) in severity of their symptoms by 6.1. Additionally, there was 78% improvement in vomiting, 75.3% improvement in pain, and 69.3% improvement in nausea.
Choice A: Domperidone has not been found to be beneficial in CVS.
Choice C: Metoclopramide does not decrease symptom recurrence in CVS.
Choice D: Selective serotonin reuptake inhibitors have not been shown in clinical trials to decrease CVS recurrence.
Choice E: Proton pump inhibitors can help as an adjunct to suppress gastric secretion. However, they do not decrease the frequency of CVS episodes.
References
- Namin F., et al. Clinical, psychiatric, and manometric profile of cyclic vomiting syndrome in adults and response to tricyclic therapy. Neurogastroenterol Motil. 2007;19:196-202.