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VIDEO: Postpartum care gets a new look
AUSTIN, TEX. – While women may have a plethora of options for care during pregnancy, attention given to women after birth is seriously lacking, with detrimental effect.
Currently, postpartum care is limited to a follow-up appointment 6 weeks after pregnancy, but according to Alison Stuebe, MD, medical director of lactation services at the University of North Carolina, Chapel Hill, there is too much going on in those 6 weeks to continue this model.
To address preferred changes to this system of care, the .
“What we’d like to do with the new committee opinion is move from this one-off visit at 6 weeks where we tell people ‘you’re good to go, you can have sex, get out of my office,’ to a much more comprehensive approach that reaches out to moms in the first couple of weeks,” explained Dr. Stuebe. “Whether that’s by phone, by asynchronous communication, by in-person visit, [the physician] finds out what’s going on, and then makes appropriate recommendations to help her rather than waiting to see what’s left after 6 weeks,” she said at ACOG’s annual clinical and scientific meeting.
Paying for these services is a big barrier right now, said Dr. Stuebe, but some solutions have already shown signs of being cost effective.
One example, in Dr. Stuebe’s hometown of Durham County, N.C., is a program called Durham Connect, which puts nurses in contact with women at 3 weeks postpartum to make assessments of what care the mother needs, and then offers service referrals to help with those needs.
According to Dr. Stuebe, studies have found every dollar invested in the program would save $3 in emergency department visits for children.
As postpartum care evolves, the most important thing is to remember that when it comes to pregnancy and birth, just because the baby is out doesn’t mean the mother can be ignored, she said.
“When we think about the way postpartum care exists today, you think about the mom being the candy wrapper and the baby being the candy; when the candy’s out of the wrapper, we toss the wrapper,” said Dr. Stuebe. “What these new guidelines are saying is this wrapper is actually pretty important.”
The revised committee opinion states: “The comprehensive postpartum visit should include a full assessment of physical, social, and psychological well-being, including the following domains: mood and emotional well-being; infant care and feeding; sexuality, contraception, and birth spacing; sleep and fatigue; physical recovery from birth; chronic disease management; and health maintenance.”
Dr. Stuebe receives support from Janssen.
AUSTIN, TEX. – While women may have a plethora of options for care during pregnancy, attention given to women after birth is seriously lacking, with detrimental effect.
Currently, postpartum care is limited to a follow-up appointment 6 weeks after pregnancy, but according to Alison Stuebe, MD, medical director of lactation services at the University of North Carolina, Chapel Hill, there is too much going on in those 6 weeks to continue this model.
To address preferred changes to this system of care, the .
“What we’d like to do with the new committee opinion is move from this one-off visit at 6 weeks where we tell people ‘you’re good to go, you can have sex, get out of my office,’ to a much more comprehensive approach that reaches out to moms in the first couple of weeks,” explained Dr. Stuebe. “Whether that’s by phone, by asynchronous communication, by in-person visit, [the physician] finds out what’s going on, and then makes appropriate recommendations to help her rather than waiting to see what’s left after 6 weeks,” she said at ACOG’s annual clinical and scientific meeting.
Paying for these services is a big barrier right now, said Dr. Stuebe, but some solutions have already shown signs of being cost effective.
One example, in Dr. Stuebe’s hometown of Durham County, N.C., is a program called Durham Connect, which puts nurses in contact with women at 3 weeks postpartum to make assessments of what care the mother needs, and then offers service referrals to help with those needs.
According to Dr. Stuebe, studies have found every dollar invested in the program would save $3 in emergency department visits for children.
As postpartum care evolves, the most important thing is to remember that when it comes to pregnancy and birth, just because the baby is out doesn’t mean the mother can be ignored, she said.
“When we think about the way postpartum care exists today, you think about the mom being the candy wrapper and the baby being the candy; when the candy’s out of the wrapper, we toss the wrapper,” said Dr. Stuebe. “What these new guidelines are saying is this wrapper is actually pretty important.”
The revised committee opinion states: “The comprehensive postpartum visit should include a full assessment of physical, social, and psychological well-being, including the following domains: mood and emotional well-being; infant care and feeding; sexuality, contraception, and birth spacing; sleep and fatigue; physical recovery from birth; chronic disease management; and health maintenance.”
Dr. Stuebe receives support from Janssen.
AUSTIN, TEX. – While women may have a plethora of options for care during pregnancy, attention given to women after birth is seriously lacking, with detrimental effect.
Currently, postpartum care is limited to a follow-up appointment 6 weeks after pregnancy, but according to Alison Stuebe, MD, medical director of lactation services at the University of North Carolina, Chapel Hill, there is too much going on in those 6 weeks to continue this model.
To address preferred changes to this system of care, the .
“What we’d like to do with the new committee opinion is move from this one-off visit at 6 weeks where we tell people ‘you’re good to go, you can have sex, get out of my office,’ to a much more comprehensive approach that reaches out to moms in the first couple of weeks,” explained Dr. Stuebe. “Whether that’s by phone, by asynchronous communication, by in-person visit, [the physician] finds out what’s going on, and then makes appropriate recommendations to help her rather than waiting to see what’s left after 6 weeks,” she said at ACOG’s annual clinical and scientific meeting.
Paying for these services is a big barrier right now, said Dr. Stuebe, but some solutions have already shown signs of being cost effective.
One example, in Dr. Stuebe’s hometown of Durham County, N.C., is a program called Durham Connect, which puts nurses in contact with women at 3 weeks postpartum to make assessments of what care the mother needs, and then offers service referrals to help with those needs.
According to Dr. Stuebe, studies have found every dollar invested in the program would save $3 in emergency department visits for children.
As postpartum care evolves, the most important thing is to remember that when it comes to pregnancy and birth, just because the baby is out doesn’t mean the mother can be ignored, she said.
“When we think about the way postpartum care exists today, you think about the mom being the candy wrapper and the baby being the candy; when the candy’s out of the wrapper, we toss the wrapper,” said Dr. Stuebe. “What these new guidelines are saying is this wrapper is actually pretty important.”
The revised committee opinion states: “The comprehensive postpartum visit should include a full assessment of physical, social, and psychological well-being, including the following domains: mood and emotional well-being; infant care and feeding; sexuality, contraception, and birth spacing; sleep and fatigue; physical recovery from birth; chronic disease management; and health maintenance.”
Dr. Stuebe receives support from Janssen.
REPORTING FROM ACOG 2018
Prompt palliative care cut hospital costs in pooled study
For adults with serious illness, consulting with a palliative care team within 3 days of hospital admission significantly reduced hospital costs, according to findings from a systematic review and meta-analysis.
In a pooled analysis of six cohort studies, average cost savings per admission were $3,237 (95% confidence interval, –$3,581 to −$2,893) overall, $4,251 for patients with cancer, and $2,105 for patients with other serious illnesses (all P values less than .001), reported Peter May, PhD, of Trinity College Dublin, and his associates.
In this latter group, prompt palliative care consultations saved more when patients had at least four comorbidities rather than two or fewer comorbidities, the reviewers wrote. The report was published in JAMA Internal Medicine.
About one in four Medicare beneficiaries dies in acute care hospitals, often after weeks of intensive, costly care that may not reflect personal wishes, according to an earlier study (JAMA. 2013;309:470-7). Economic studies have tried to pinpoint the cost savings of palliative care. These studies have found it important to consider both the clinical characteristics of patients and the amount of time between admission and palliative consultations, the reviewers noted. However, heterogeneity among older studies had precluded pooled analyses.
The six studies in this meta-analysis were identified by a search of Embase, PsycINFO, CENTRAL, PubMed, CINAHL, and EconLit databases for economic studies of hospital-based palliative care consultations. The studies were published between 2008 and 2017 and included 133,118 adults with cancer, chronic obstructive pulmonary disease, major organ failure, AIDS/HIV, or serious neurodegenerative disease. Patients tended to be in their 60s and were usually Medicare beneficiaries, although one study focused only on Medicaid enrollees. Forty-one percent of patients had a primary diagnosis of cancer, and 93% were discharged alive. Most also had at least two comorbidities. Only 3.6% received a palliative care consultation (range, 2.2% to 22.3%).
The link that they found between more comorbidities and greater cost savings “is the reverse of prior research that assumed that long-stay, high-cost hospitalized patients could not have their care trajectories affected by palliative care,” the researchers wrote. “Current palliative care provision in the United States is characterized by widespread understaffing. Our results suggest that acute care hospitals may be able to reduce costs for this population by increasing palliative care capacity to meet national guidelines.”
Dr. May received grant support from The Atlantic Philanthropies. The reviewers reported having no conflicts of interest.
SOURCE: May P et al. JAMA Intern Med. 2018 Apr 30. doi: 10.1001/jamainternmed.2018.0750.
For adults with serious illness, consulting with a palliative care team within 3 days of hospital admission significantly reduced hospital costs, according to findings from a systematic review and meta-analysis.
In a pooled analysis of six cohort studies, average cost savings per admission were $3,237 (95% confidence interval, –$3,581 to −$2,893) overall, $4,251 for patients with cancer, and $2,105 for patients with other serious illnesses (all P values less than .001), reported Peter May, PhD, of Trinity College Dublin, and his associates.
In this latter group, prompt palliative care consultations saved more when patients had at least four comorbidities rather than two or fewer comorbidities, the reviewers wrote. The report was published in JAMA Internal Medicine.
About one in four Medicare beneficiaries dies in acute care hospitals, often after weeks of intensive, costly care that may not reflect personal wishes, according to an earlier study (JAMA. 2013;309:470-7). Economic studies have tried to pinpoint the cost savings of palliative care. These studies have found it important to consider both the clinical characteristics of patients and the amount of time between admission and palliative consultations, the reviewers noted. However, heterogeneity among older studies had precluded pooled analyses.
The six studies in this meta-analysis were identified by a search of Embase, PsycINFO, CENTRAL, PubMed, CINAHL, and EconLit databases for economic studies of hospital-based palliative care consultations. The studies were published between 2008 and 2017 and included 133,118 adults with cancer, chronic obstructive pulmonary disease, major organ failure, AIDS/HIV, or serious neurodegenerative disease. Patients tended to be in their 60s and were usually Medicare beneficiaries, although one study focused only on Medicaid enrollees. Forty-one percent of patients had a primary diagnosis of cancer, and 93% were discharged alive. Most also had at least two comorbidities. Only 3.6% received a palliative care consultation (range, 2.2% to 22.3%).
The link that they found between more comorbidities and greater cost savings “is the reverse of prior research that assumed that long-stay, high-cost hospitalized patients could not have their care trajectories affected by palliative care,” the researchers wrote. “Current palliative care provision in the United States is characterized by widespread understaffing. Our results suggest that acute care hospitals may be able to reduce costs for this population by increasing palliative care capacity to meet national guidelines.”
Dr. May received grant support from The Atlantic Philanthropies. The reviewers reported having no conflicts of interest.
SOURCE: May P et al. JAMA Intern Med. 2018 Apr 30. doi: 10.1001/jamainternmed.2018.0750.
For adults with serious illness, consulting with a palliative care team within 3 days of hospital admission significantly reduced hospital costs, according to findings from a systematic review and meta-analysis.
In a pooled analysis of six cohort studies, average cost savings per admission were $3,237 (95% confidence interval, –$3,581 to −$2,893) overall, $4,251 for patients with cancer, and $2,105 for patients with other serious illnesses (all P values less than .001), reported Peter May, PhD, of Trinity College Dublin, and his associates.
In this latter group, prompt palliative care consultations saved more when patients had at least four comorbidities rather than two or fewer comorbidities, the reviewers wrote. The report was published in JAMA Internal Medicine.
About one in four Medicare beneficiaries dies in acute care hospitals, often after weeks of intensive, costly care that may not reflect personal wishes, according to an earlier study (JAMA. 2013;309:470-7). Economic studies have tried to pinpoint the cost savings of palliative care. These studies have found it important to consider both the clinical characteristics of patients and the amount of time between admission and palliative consultations, the reviewers noted. However, heterogeneity among older studies had precluded pooled analyses.
The six studies in this meta-analysis were identified by a search of Embase, PsycINFO, CENTRAL, PubMed, CINAHL, and EconLit databases for economic studies of hospital-based palliative care consultations. The studies were published between 2008 and 2017 and included 133,118 adults with cancer, chronic obstructive pulmonary disease, major organ failure, AIDS/HIV, or serious neurodegenerative disease. Patients tended to be in their 60s and were usually Medicare beneficiaries, although one study focused only on Medicaid enrollees. Forty-one percent of patients had a primary diagnosis of cancer, and 93% were discharged alive. Most also had at least two comorbidities. Only 3.6% received a palliative care consultation (range, 2.2% to 22.3%).
The link that they found between more comorbidities and greater cost savings “is the reverse of prior research that assumed that long-stay, high-cost hospitalized patients could not have their care trajectories affected by palliative care,” the researchers wrote. “Current palliative care provision in the United States is characterized by widespread understaffing. Our results suggest that acute care hospitals may be able to reduce costs for this population by increasing palliative care capacity to meet national guidelines.”
Dr. May received grant support from The Atlantic Philanthropies. The reviewers reported having no conflicts of interest.
SOURCE: May P et al. JAMA Intern Med. 2018 Apr 30. doi: 10.1001/jamainternmed.2018.0750.
FROM JAMA INTERNAL MEDICINE
Key clinical point:
Major finding: Average cost savings per admission were $3,237 overall, $4,251 for patients with cancer, and $2,105 for patients with other serious illnesses (all P-values less than .001).
Study details: Systematic review and meta-analysis of six cohort studies of 133,118 adults with cancer, chronic obstructive pulmonary disease, major organ failure, AIDS/HIV, or serious neurodegenerative disease.
Disclosures: Dr. May received grant support from The Atlantic Philanthropies. The reviewers reported having no conflicts of interest.
Source: May P et al. JAMA Intern Med. 2018 Apr 30. doi: 10.1001/jamainternmed.2018.0750.
VRIC is May 9; Register On-Site
Learn about emerging vascular science, engage with researchers, network with colleagues, and support your peers at VRIC, our ‘Annual Meeting’ for basic and translational vascular researchers. Online registration has ended by attendees can register in person the day of the conference. VRIC 2018 will be held at the Hilton San Francisco Union Square, on May 9. Learn more and find the program schedule here.
Learn about emerging vascular science, engage with researchers, network with colleagues, and support your peers at VRIC, our ‘Annual Meeting’ for basic and translational vascular researchers. Online registration has ended by attendees can register in person the day of the conference. VRIC 2018 will be held at the Hilton San Francisco Union Square, on May 9. Learn more and find the program schedule here.
Learn about emerging vascular science, engage with researchers, network with colleagues, and support your peers at VRIC, our ‘Annual Meeting’ for basic and translational vascular researchers. Online registration has ended by attendees can register in person the day of the conference. VRIC 2018 will be held at the Hilton San Francisco Union Square, on May 9. Learn more and find the program schedule here.
Circulating biomarkers predicted melanoma survival
Among patients with metastatic melanoma, detectable circulating levels of BRAFV600 mutated circulating tumor DNA and elevated levels of circulating hepatocyte growth factor separately predicted significantly worse survival, regardless of treatment.
After adjusting for lactate dehydrogenase, ECOG (Eastern Cooperative Oncology Group) status, disease stage, and treatment, hazard ratios for overall survival were 1.75 (95% confidence interval, 1.35-2.28) for detectable versus undetectable circulating tumor DNA (ctDNA) and 1.24 (95% CI, 1.00-1.53) for high versus low circulating hepatocyte growth factor (cHGF), reported William Lu, PhD, of Genentech in South San Francisco, with his associates. Their retrospective, exploratory analysis of the phase 3 BRIM-3 trial was published in JCO Precision Oncology.
BRIM-3 was a multicenter, open-label trial of 675 patients with previously untreated unresectable stage IIIC or stage IV melanoma that tested positive for the BRAFV600 mutation. Patients received either vemurafenib or dacarbazine therapy.
Baseline ctDNA, baseline cHGF, and ECOG performance status most strongly predicted overall survival, said the investigators. Patients whose mutant ctDNA fraction exceeded 0.039 had an 11.5-month shorter median overall survival on vemurafenib (P less than .001) and a 13.9-month shorter median overall survival on dacarbazine (P less than .001) than patients whose mutant ctDNA fraction was less than 0.039, they explained. Similarly, median overall survival times were 5.4 months shorter for vemurafenib (P = .002) and 12.3 months shorter for dacarbazine (P less than .001) when patients had high (more than 438 pg/mL) versus low circulating cHGF.
Median overall survival for vemurafenib was shortest (7.3 months) in the subgroup of 64 patients with detectable BRAFV600 ctDNA and elevated cHGF, according to the researchers. In contrast, median overall survival for vemurafenib was longest (22.0 months) when patients had undetectable ctDNA and an ECOG status of 0.
“Although similar studies have been performed, to our knowledge, our study is unique in its size and in its design as a randomized trial,” Dr. Lu and associates concluded. “The biomarkers in this study can be readily acquired and measured, and require only small volumes of plasma.” They suggested validating the findings in a separate dataset.
F. Hoffman-La Roche provided funding. Roche Molecular Systems makes the Cobas 4800 BRAFV600 Mutation Test used in the study. Dr. Lu disclosed employment and research funding from Genentech/Roche.
SOURCE: Lu W et al. JCO Precis Oncol. 2018 Apr 25. doi: 10.1200/PO.17.00168.
Among patients with metastatic melanoma, detectable circulating levels of BRAFV600 mutated circulating tumor DNA and elevated levels of circulating hepatocyte growth factor separately predicted significantly worse survival, regardless of treatment.
After adjusting for lactate dehydrogenase, ECOG (Eastern Cooperative Oncology Group) status, disease stage, and treatment, hazard ratios for overall survival were 1.75 (95% confidence interval, 1.35-2.28) for detectable versus undetectable circulating tumor DNA (ctDNA) and 1.24 (95% CI, 1.00-1.53) for high versus low circulating hepatocyte growth factor (cHGF), reported William Lu, PhD, of Genentech in South San Francisco, with his associates. Their retrospective, exploratory analysis of the phase 3 BRIM-3 trial was published in JCO Precision Oncology.
BRIM-3 was a multicenter, open-label trial of 675 patients with previously untreated unresectable stage IIIC or stage IV melanoma that tested positive for the BRAFV600 mutation. Patients received either vemurafenib or dacarbazine therapy.
Baseline ctDNA, baseline cHGF, and ECOG performance status most strongly predicted overall survival, said the investigators. Patients whose mutant ctDNA fraction exceeded 0.039 had an 11.5-month shorter median overall survival on vemurafenib (P less than .001) and a 13.9-month shorter median overall survival on dacarbazine (P less than .001) than patients whose mutant ctDNA fraction was less than 0.039, they explained. Similarly, median overall survival times were 5.4 months shorter for vemurafenib (P = .002) and 12.3 months shorter for dacarbazine (P less than .001) when patients had high (more than 438 pg/mL) versus low circulating cHGF.
Median overall survival for vemurafenib was shortest (7.3 months) in the subgroup of 64 patients with detectable BRAFV600 ctDNA and elevated cHGF, according to the researchers. In contrast, median overall survival for vemurafenib was longest (22.0 months) when patients had undetectable ctDNA and an ECOG status of 0.
“Although similar studies have been performed, to our knowledge, our study is unique in its size and in its design as a randomized trial,” Dr. Lu and associates concluded. “The biomarkers in this study can be readily acquired and measured, and require only small volumes of plasma.” They suggested validating the findings in a separate dataset.
F. Hoffman-La Roche provided funding. Roche Molecular Systems makes the Cobas 4800 BRAFV600 Mutation Test used in the study. Dr. Lu disclosed employment and research funding from Genentech/Roche.
SOURCE: Lu W et al. JCO Precis Oncol. 2018 Apr 25. doi: 10.1200/PO.17.00168.
Among patients with metastatic melanoma, detectable circulating levels of BRAFV600 mutated circulating tumor DNA and elevated levels of circulating hepatocyte growth factor separately predicted significantly worse survival, regardless of treatment.
After adjusting for lactate dehydrogenase, ECOG (Eastern Cooperative Oncology Group) status, disease stage, and treatment, hazard ratios for overall survival were 1.75 (95% confidence interval, 1.35-2.28) for detectable versus undetectable circulating tumor DNA (ctDNA) and 1.24 (95% CI, 1.00-1.53) for high versus low circulating hepatocyte growth factor (cHGF), reported William Lu, PhD, of Genentech in South San Francisco, with his associates. Their retrospective, exploratory analysis of the phase 3 BRIM-3 trial was published in JCO Precision Oncology.
BRIM-3 was a multicenter, open-label trial of 675 patients with previously untreated unresectable stage IIIC or stage IV melanoma that tested positive for the BRAFV600 mutation. Patients received either vemurafenib or dacarbazine therapy.
Baseline ctDNA, baseline cHGF, and ECOG performance status most strongly predicted overall survival, said the investigators. Patients whose mutant ctDNA fraction exceeded 0.039 had an 11.5-month shorter median overall survival on vemurafenib (P less than .001) and a 13.9-month shorter median overall survival on dacarbazine (P less than .001) than patients whose mutant ctDNA fraction was less than 0.039, they explained. Similarly, median overall survival times were 5.4 months shorter for vemurafenib (P = .002) and 12.3 months shorter for dacarbazine (P less than .001) when patients had high (more than 438 pg/mL) versus low circulating cHGF.
Median overall survival for vemurafenib was shortest (7.3 months) in the subgroup of 64 patients with detectable BRAFV600 ctDNA and elevated cHGF, according to the researchers. In contrast, median overall survival for vemurafenib was longest (22.0 months) when patients had undetectable ctDNA and an ECOG status of 0.
“Although similar studies have been performed, to our knowledge, our study is unique in its size and in its design as a randomized trial,” Dr. Lu and associates concluded. “The biomarkers in this study can be readily acquired and measured, and require only small volumes of plasma.” They suggested validating the findings in a separate dataset.
F. Hoffman-La Roche provided funding. Roche Molecular Systems makes the Cobas 4800 BRAFV600 Mutation Test used in the study. Dr. Lu disclosed employment and research funding from Genentech/Roche.
SOURCE: Lu W et al. JCO Precis Oncol. 2018 Apr 25. doi: 10.1200/PO.17.00168.
FROM JCO PRECISION ONCOLOGY
Key clinical point: Among patients with metastatic melanoma, high circulating levels of BRAFV600 mutated circulating tumor DNA and circulating hepatocyte growth factor predicted significantly worse overall survival, irrespective of treatment.
Major finding: Adjusted hazard ratios for overall survival were 1.75 for high versus undetectable circulating tumor DNA and 1.24 for high versus low circulating hepatocyte growth factor.
Study details: A retrospective, exploratory analysis of 675 patients with metastatic BRAFV600 mutated advanced melanoma.
Disclosures: F. Hoffman-La Roche provided funding. Roche Molecular Systems makes the Cobas 4800 BRAFV600 Mutation Test used in the study. Dr. Lu disclosed employment and research funding from Genentech/Roche.
Source: Lu W et al. JCO Precis Oncol. 2018 Apr 25. doi: 10.1200/PO.17.00168.
MDedge Daily News: Female physicans face enduring wage gap
A metabolic syndrome scoring system predicts cardiovascular disease risk in type 2 diabetes. A national suicide hotline could become a reality. And anticholinergics’ link to dementia calls for vigilance in elderly patients.
Listen to the MDedge Daily News podcast for all the details on today’s top news.
A metabolic syndrome scoring system predicts cardiovascular disease risk in type 2 diabetes. A national suicide hotline could become a reality. And anticholinergics’ link to dementia calls for vigilance in elderly patients.
Listen to the MDedge Daily News podcast for all the details on today’s top news.
A metabolic syndrome scoring system predicts cardiovascular disease risk in type 2 diabetes. A national suicide hotline could become a reality. And anticholinergics’ link to dementia calls for vigilance in elderly patients.
Listen to the MDedge Daily News podcast for all the details on today’s top news.
Getting At-Risk Kids to Change Sexual Behavior
In 2015, young people aged 13- 24 years accounted for > 1 in 5 new HIV diagnoses in the US. Young people aged 15-24 years also account for half of all new sexually transmitted disease infections. Many of those high-risk youth are caught in the juvenile justice system, where they experience more mental illness, substance abuse, and STDs than their peers in the general population.
It is a challenge to identify and implement effective prevention strategies for these young people, but a study at the University of Illinois shows potential. PHAT Life: Preventing HIV/AIDS Among Teens uses role-playing, videos, games, and skill-building exercises to promote knowledge about HIV/AIDS, positive coping, and problem-solving skills.
The study was conducted with 310 urban teens, mostly African American boys, on probation in Chicago’s Cook County, the second-largest county justice system in the US. The participants were assigned to PHAT Life or an equally intensive health information program. Both 2-week programs consisted of 8 90- to 120-minute sessions, delivered at detention-alternative after-school programs.
The study measured the degree of condom use and number of sexual partners in the 6 months before and after the intervention. Among participants who reported the highest-risk sexual behavior at baseline, those assigned to PHAT Life were over 4 times more likely than those in the control group to report a reduction in number of sexual partners and more consistent condom use. Of those who reported having had sex before age 12, the PHAT Life participants reported significantly fewer sexual partners after the intervention.
“Uniquely tailored interventions like PHAT Life … are essential to mitigate young offenders’ poor long-term trajectories,” says Geri Donenberg, PhD, study leader.
The next step, the researchers say, is to identify how best to disseminate PHAT Life resources to ensure it’s self-sustaining in the juvenile justice system.
In 2015, young people aged 13- 24 years accounted for > 1 in 5 new HIV diagnoses in the US. Young people aged 15-24 years also account for half of all new sexually transmitted disease infections. Many of those high-risk youth are caught in the juvenile justice system, where they experience more mental illness, substance abuse, and STDs than their peers in the general population.
It is a challenge to identify and implement effective prevention strategies for these young people, but a study at the University of Illinois shows potential. PHAT Life: Preventing HIV/AIDS Among Teens uses role-playing, videos, games, and skill-building exercises to promote knowledge about HIV/AIDS, positive coping, and problem-solving skills.
The study was conducted with 310 urban teens, mostly African American boys, on probation in Chicago’s Cook County, the second-largest county justice system in the US. The participants were assigned to PHAT Life or an equally intensive health information program. Both 2-week programs consisted of 8 90- to 120-minute sessions, delivered at detention-alternative after-school programs.
The study measured the degree of condom use and number of sexual partners in the 6 months before and after the intervention. Among participants who reported the highest-risk sexual behavior at baseline, those assigned to PHAT Life were over 4 times more likely than those in the control group to report a reduction in number of sexual partners and more consistent condom use. Of those who reported having had sex before age 12, the PHAT Life participants reported significantly fewer sexual partners after the intervention.
“Uniquely tailored interventions like PHAT Life … are essential to mitigate young offenders’ poor long-term trajectories,” says Geri Donenberg, PhD, study leader.
The next step, the researchers say, is to identify how best to disseminate PHAT Life resources to ensure it’s self-sustaining in the juvenile justice system.
In 2015, young people aged 13- 24 years accounted for > 1 in 5 new HIV diagnoses in the US. Young people aged 15-24 years also account for half of all new sexually transmitted disease infections. Many of those high-risk youth are caught in the juvenile justice system, where they experience more mental illness, substance abuse, and STDs than their peers in the general population.
It is a challenge to identify and implement effective prevention strategies for these young people, but a study at the University of Illinois shows potential. PHAT Life: Preventing HIV/AIDS Among Teens uses role-playing, videos, games, and skill-building exercises to promote knowledge about HIV/AIDS, positive coping, and problem-solving skills.
The study was conducted with 310 urban teens, mostly African American boys, on probation in Chicago’s Cook County, the second-largest county justice system in the US. The participants were assigned to PHAT Life or an equally intensive health information program. Both 2-week programs consisted of 8 90- to 120-minute sessions, delivered at detention-alternative after-school programs.
The study measured the degree of condom use and number of sexual partners in the 6 months before and after the intervention. Among participants who reported the highest-risk sexual behavior at baseline, those assigned to PHAT Life were over 4 times more likely than those in the control group to report a reduction in number of sexual partners and more consistent condom use. Of those who reported having had sex before age 12, the PHAT Life participants reported significantly fewer sexual partners after the intervention.
“Uniquely tailored interventions like PHAT Life … are essential to mitigate young offenders’ poor long-term trajectories,” says Geri Donenberg, PhD, study leader.
The next step, the researchers say, is to identify how best to disseminate PHAT Life resources to ensure it’s self-sustaining in the juvenile justice system.
CHMP backs approval of dasatinib for kids
The European Medicines Agency’s Committee for Medicinal Products for Human Use (CHMP) has recommended changes to the marketing authorization for dasatinib (Sprycel).
The CHMP is recommending approval for dasatinib as a treatment for pediatric patients with newly diagnosed, Philadelphia chromosome-positive (Ph+) chronic myeloid leukemia (CML) in chronic phase (CP) or Ph+ CML-CP that is resistant or intolerant to prior therapy, including imatinib.
The CHMP has also recommended approval of a new formulation of dasatinib—a powder for oral suspension (PFOS)—for use in pediatric patients.
Dasatinib is already approved in the European Union to treat adults with:
- Newly diagnosed Ph+ CML-CP
- Chronic, accelerated, or blast phase CML with resistance or intolerance to prior therapy, including imatinib
- Ph+ acute lymphoblastic leukemia and lymphoid blast CML with resistance or intolerance to prior therapy.
The CHMP’s opinion on dasatinib for pediatric patients will be reviewed by the European Commission (EC).
If the EC agrees with the CHMP, the commission will grant a centralized marketing authorization that will be valid in the European Union. Norway, Iceland, and Liechtenstein will make corresponding decisions on the basis of the EC’s decision.
The EC typically makes a decision within 67 days of the CHMP’s recommendation.
The CHMP’s opinion on dasatinib for pediatric patients is supported by 2 studies. Results from the phase 1 study (NCT00306202) were published in the Journal of Clinical Oncology in 2013. Phase 2 (NCT00777036) results were published in the same journal this year.
Phase 1
The phase 1 trial included 17 patients with CML-CP, all of whom had received prior imatinib.
Eleven patients received dasatinib at a starting dose of 60 mg/m2 once daily, and 6 received the drug at a starting dose of 80 mg/m2 once daily. Dose escalation was allowed based on tolerance and response. The median duration of treatment was 24.1 months (range, 2.3 to 50.6 months).
The 60 mg/m2 starting dose appeared more tolerable than 80 mg/m2 dose.
Drug-related adverse events (AEs) occurring in at least 20% of patients included neutropenia (82.4%), anemia (70.6%), thrombocytopenia (64.7%), nausea (29.4%), headache (35.3%), diarrhea (23.5%), and pain in extremity (23.5%). Grade 3-4 AEs included neutropenia (23.5%), thrombocytopenia (11.8%), and headache (5.9%). There were no drug-related deaths.
Ninety-four percent of patients achieved a complete hematologic response (CHR), 88% had a major cytogenetic response (MCyR), 82% had a complete cytogenetic response (CCyR), 47% had a major molecular response (MMR), and 24% had a complete molecular response (CMR).
Patients who received the lower starting dose of dasatinib had lower rates of cumulative CCyR (72.7% vs 100%) and CHR (90.9% vs 100%) but higher rates of cumulative MMR (54.5% vs 33.3%) and CMR (27.3% vs 16.7).
The median progression-free survival (PFS) and overall survival (OS) had not been reached at last follow-up. At 24 months, the estimated PFS was 61%, and the estimated OS was 88%.
Phase 2
The phase 2 trial included 29 patients with imatinib-resistant/intolerant CML-CP and 84 with newly diagnosed CML-CP.
The previously treated patients received dasatinib tablets. Newly diagnosed patients were treated with dasatinib tablets (n=51) or PFOS (n=33). Patients who started on PFOS could switch to tablets after receiving PFOS for at least 1 year. Sixty-seven percent of patients on PFOS switched to tablets due to patient preference.
The average daily dose of dasatinib was 58.18 mg/m2 in the previously treated patients and 59.84 mg/m2 in the newly diagnosed patients (for both tablets and PFOS). The median duration of treatment was 49.91 months (range, 1.9 to 90.2) and 42.30 months (range, 0.1 to 75.2), respectively.
Rates of confirmed CHR (at any time) were 93% in the previously treated patients and 96% in the newly diagnosed patients.
At 12 months, previously treated patients had an MMR rate of 41% and a CMR rate of 7%. In newly diagnosed patients, MMR was 52%, and CMR was 8%.
At 24 months, previously treated patients had an MMR rate of 55% and a CMR rate of 17%. In the newly diagnosed patients, MMR was 70%, and CMR was 21%.
The rate of MCyR at any time was 89.7% in all previously treated patients and 90% when the researchers excluded patients with MCyR or unknown cytogenetic status at baseline.
The rate of CCyR at any time was 94% in all newly diagnosed patients and 93.9% when the researchers excluded patients with CCyR or unknown cytogenetic status at baseline.
The median PFS and OS had not been reached at last follow-up. The estimated 48-month PFS was 78% in the previously treated patients and 93% in the newly diagnosed patients. The estimated 48-month OS was 96% and 100%, respectively.
Dasatinib-related AEs occurring in at least 10% of the previously treated patients included nausea/vomiting (31%), myalgia/arthralgia (17%), fatigue (14%), rash (14%), diarrhea (14%), hemorrhage (10%), bone growth and development events (10%), and shortness of breath (10%).
Dasatinib-related AEs occurring in at least 10% of the newly diagnosed patients included nausea/vomiting (20%), myalgia/arthralgia (10%), fatigue (11%), rash (19%), diarrhea (18%), and hemorrhage (10%).
The European Medicines Agency’s Committee for Medicinal Products for Human Use (CHMP) has recommended changes to the marketing authorization for dasatinib (Sprycel).
The CHMP is recommending approval for dasatinib as a treatment for pediatric patients with newly diagnosed, Philadelphia chromosome-positive (Ph+) chronic myeloid leukemia (CML) in chronic phase (CP) or Ph+ CML-CP that is resistant or intolerant to prior therapy, including imatinib.
The CHMP has also recommended approval of a new formulation of dasatinib—a powder for oral suspension (PFOS)—for use in pediatric patients.
Dasatinib is already approved in the European Union to treat adults with:
- Newly diagnosed Ph+ CML-CP
- Chronic, accelerated, or blast phase CML with resistance or intolerance to prior therapy, including imatinib
- Ph+ acute lymphoblastic leukemia and lymphoid blast CML with resistance or intolerance to prior therapy.
The CHMP’s opinion on dasatinib for pediatric patients will be reviewed by the European Commission (EC).
If the EC agrees with the CHMP, the commission will grant a centralized marketing authorization that will be valid in the European Union. Norway, Iceland, and Liechtenstein will make corresponding decisions on the basis of the EC’s decision.
The EC typically makes a decision within 67 days of the CHMP’s recommendation.
The CHMP’s opinion on dasatinib for pediatric patients is supported by 2 studies. Results from the phase 1 study (NCT00306202) were published in the Journal of Clinical Oncology in 2013. Phase 2 (NCT00777036) results were published in the same journal this year.
Phase 1
The phase 1 trial included 17 patients with CML-CP, all of whom had received prior imatinib.
Eleven patients received dasatinib at a starting dose of 60 mg/m2 once daily, and 6 received the drug at a starting dose of 80 mg/m2 once daily. Dose escalation was allowed based on tolerance and response. The median duration of treatment was 24.1 months (range, 2.3 to 50.6 months).
The 60 mg/m2 starting dose appeared more tolerable than 80 mg/m2 dose.
Drug-related adverse events (AEs) occurring in at least 20% of patients included neutropenia (82.4%), anemia (70.6%), thrombocytopenia (64.7%), nausea (29.4%), headache (35.3%), diarrhea (23.5%), and pain in extremity (23.5%). Grade 3-4 AEs included neutropenia (23.5%), thrombocytopenia (11.8%), and headache (5.9%). There were no drug-related deaths.
Ninety-four percent of patients achieved a complete hematologic response (CHR), 88% had a major cytogenetic response (MCyR), 82% had a complete cytogenetic response (CCyR), 47% had a major molecular response (MMR), and 24% had a complete molecular response (CMR).
Patients who received the lower starting dose of dasatinib had lower rates of cumulative CCyR (72.7% vs 100%) and CHR (90.9% vs 100%) but higher rates of cumulative MMR (54.5% vs 33.3%) and CMR (27.3% vs 16.7).
The median progression-free survival (PFS) and overall survival (OS) had not been reached at last follow-up. At 24 months, the estimated PFS was 61%, and the estimated OS was 88%.
Phase 2
The phase 2 trial included 29 patients with imatinib-resistant/intolerant CML-CP and 84 with newly diagnosed CML-CP.
The previously treated patients received dasatinib tablets. Newly diagnosed patients were treated with dasatinib tablets (n=51) or PFOS (n=33). Patients who started on PFOS could switch to tablets after receiving PFOS for at least 1 year. Sixty-seven percent of patients on PFOS switched to tablets due to patient preference.
The average daily dose of dasatinib was 58.18 mg/m2 in the previously treated patients and 59.84 mg/m2 in the newly diagnosed patients (for both tablets and PFOS). The median duration of treatment was 49.91 months (range, 1.9 to 90.2) and 42.30 months (range, 0.1 to 75.2), respectively.
Rates of confirmed CHR (at any time) were 93% in the previously treated patients and 96% in the newly diagnosed patients.
At 12 months, previously treated patients had an MMR rate of 41% and a CMR rate of 7%. In newly diagnosed patients, MMR was 52%, and CMR was 8%.
At 24 months, previously treated patients had an MMR rate of 55% and a CMR rate of 17%. In the newly diagnosed patients, MMR was 70%, and CMR was 21%.
The rate of MCyR at any time was 89.7% in all previously treated patients and 90% when the researchers excluded patients with MCyR or unknown cytogenetic status at baseline.
The rate of CCyR at any time was 94% in all newly diagnosed patients and 93.9% when the researchers excluded patients with CCyR or unknown cytogenetic status at baseline.
The median PFS and OS had not been reached at last follow-up. The estimated 48-month PFS was 78% in the previously treated patients and 93% in the newly diagnosed patients. The estimated 48-month OS was 96% and 100%, respectively.
Dasatinib-related AEs occurring in at least 10% of the previously treated patients included nausea/vomiting (31%), myalgia/arthralgia (17%), fatigue (14%), rash (14%), diarrhea (14%), hemorrhage (10%), bone growth and development events (10%), and shortness of breath (10%).
Dasatinib-related AEs occurring in at least 10% of the newly diagnosed patients included nausea/vomiting (20%), myalgia/arthralgia (10%), fatigue (11%), rash (19%), diarrhea (18%), and hemorrhage (10%).
The European Medicines Agency’s Committee for Medicinal Products for Human Use (CHMP) has recommended changes to the marketing authorization for dasatinib (Sprycel).
The CHMP is recommending approval for dasatinib as a treatment for pediatric patients with newly diagnosed, Philadelphia chromosome-positive (Ph+) chronic myeloid leukemia (CML) in chronic phase (CP) or Ph+ CML-CP that is resistant or intolerant to prior therapy, including imatinib.
The CHMP has also recommended approval of a new formulation of dasatinib—a powder for oral suspension (PFOS)—for use in pediatric patients.
Dasatinib is already approved in the European Union to treat adults with:
- Newly diagnosed Ph+ CML-CP
- Chronic, accelerated, or blast phase CML with resistance or intolerance to prior therapy, including imatinib
- Ph+ acute lymphoblastic leukemia and lymphoid blast CML with resistance or intolerance to prior therapy.
The CHMP’s opinion on dasatinib for pediatric patients will be reviewed by the European Commission (EC).
If the EC agrees with the CHMP, the commission will grant a centralized marketing authorization that will be valid in the European Union. Norway, Iceland, and Liechtenstein will make corresponding decisions on the basis of the EC’s decision.
The EC typically makes a decision within 67 days of the CHMP’s recommendation.
The CHMP’s opinion on dasatinib for pediatric patients is supported by 2 studies. Results from the phase 1 study (NCT00306202) were published in the Journal of Clinical Oncology in 2013. Phase 2 (NCT00777036) results were published in the same journal this year.
Phase 1
The phase 1 trial included 17 patients with CML-CP, all of whom had received prior imatinib.
Eleven patients received dasatinib at a starting dose of 60 mg/m2 once daily, and 6 received the drug at a starting dose of 80 mg/m2 once daily. Dose escalation was allowed based on tolerance and response. The median duration of treatment was 24.1 months (range, 2.3 to 50.6 months).
The 60 mg/m2 starting dose appeared more tolerable than 80 mg/m2 dose.
Drug-related adverse events (AEs) occurring in at least 20% of patients included neutropenia (82.4%), anemia (70.6%), thrombocytopenia (64.7%), nausea (29.4%), headache (35.3%), diarrhea (23.5%), and pain in extremity (23.5%). Grade 3-4 AEs included neutropenia (23.5%), thrombocytopenia (11.8%), and headache (5.9%). There were no drug-related deaths.
Ninety-four percent of patients achieved a complete hematologic response (CHR), 88% had a major cytogenetic response (MCyR), 82% had a complete cytogenetic response (CCyR), 47% had a major molecular response (MMR), and 24% had a complete molecular response (CMR).
Patients who received the lower starting dose of dasatinib had lower rates of cumulative CCyR (72.7% vs 100%) and CHR (90.9% vs 100%) but higher rates of cumulative MMR (54.5% vs 33.3%) and CMR (27.3% vs 16.7).
The median progression-free survival (PFS) and overall survival (OS) had not been reached at last follow-up. At 24 months, the estimated PFS was 61%, and the estimated OS was 88%.
Phase 2
The phase 2 trial included 29 patients with imatinib-resistant/intolerant CML-CP and 84 with newly diagnosed CML-CP.
The previously treated patients received dasatinib tablets. Newly diagnosed patients were treated with dasatinib tablets (n=51) or PFOS (n=33). Patients who started on PFOS could switch to tablets after receiving PFOS for at least 1 year. Sixty-seven percent of patients on PFOS switched to tablets due to patient preference.
The average daily dose of dasatinib was 58.18 mg/m2 in the previously treated patients and 59.84 mg/m2 in the newly diagnosed patients (for both tablets and PFOS). The median duration of treatment was 49.91 months (range, 1.9 to 90.2) and 42.30 months (range, 0.1 to 75.2), respectively.
Rates of confirmed CHR (at any time) were 93% in the previously treated patients and 96% in the newly diagnosed patients.
At 12 months, previously treated patients had an MMR rate of 41% and a CMR rate of 7%. In newly diagnosed patients, MMR was 52%, and CMR was 8%.
At 24 months, previously treated patients had an MMR rate of 55% and a CMR rate of 17%. In the newly diagnosed patients, MMR was 70%, and CMR was 21%.
The rate of MCyR at any time was 89.7% in all previously treated patients and 90% when the researchers excluded patients with MCyR or unknown cytogenetic status at baseline.
The rate of CCyR at any time was 94% in all newly diagnosed patients and 93.9% when the researchers excluded patients with CCyR or unknown cytogenetic status at baseline.
The median PFS and OS had not been reached at last follow-up. The estimated 48-month PFS was 78% in the previously treated patients and 93% in the newly diagnosed patients. The estimated 48-month OS was 96% and 100%, respectively.
Dasatinib-related AEs occurring in at least 10% of the previously treated patients included nausea/vomiting (31%), myalgia/arthralgia (17%), fatigue (14%), rash (14%), diarrhea (14%), hemorrhage (10%), bone growth and development events (10%), and shortness of breath (10%).
Dasatinib-related AEs occurring in at least 10% of the newly diagnosed patients included nausea/vomiting (20%), myalgia/arthralgia (10%), fatigue (11%), rash (19%), diarrhea (18%), and hemorrhage (10%).
Readmitted patients less likely to be “very satisfied” with index admission
Clinical question: Are patient perceptions of care during index hospitalization associated with likelihood of 30-day readmission?
Background: Hospital readmissions are costly (more than $40 billion annually) and common. Nearly one readmission in five is thought to be preventable. While many risk-prediction models exist, few incorporate patient perceptions during the index hospitalization or factors associated with patient experience.
Setting: Single-center academic medical center.
Synopsis: A total of 846 patients – admitted to one of two inpatient general medicine wards at Massachusetts General Hospital in Boston, and were English speaking, aged 18 years or older, and possessed the ability to complete a 20-item study questionnaire – were screened from January 2012 to January 2016. An interviewer-assisted questionnaire was coupled with structured medical records review. Among items assessed were demographic information, patient perceptions of health, satisfaction with inpatient care, confidence in ability to perform self-care and understanding of the care plan, presence of a caregiver, and patient-predicted likelihood of readmission. Of 846 enrolled patients, 201 were readmitted within 30 days. Readmitted patients were less likely to report being “very satisfied” with their overall care during the index admission, and less likely to report that physicians “always listened” to them during the index stay.
Bottom line: This is the first study to relate patients’ perceptions of their care during index hospitalization to the likelihood of readmission. Further investigation will be necessary to determine whether timely assessment of these perceptions can prompt effective intervention that improves likelihood of an enduringly successful transition home.
Citation: Carter J et al. The association between patient experience factors and likelihood of 30-day readmission: A prospective cohort study. BMJ Qual Saf. 2017 Nov 16. doi: 10.1136/bmjqs-2017-007184.
Dr. Helgerson is associate professor of medicine and section head, division of hospital medicine, University of Virginia.
Clinical question: Are patient perceptions of care during index hospitalization associated with likelihood of 30-day readmission?
Background: Hospital readmissions are costly (more than $40 billion annually) and common. Nearly one readmission in five is thought to be preventable. While many risk-prediction models exist, few incorporate patient perceptions during the index hospitalization or factors associated with patient experience.
Setting: Single-center academic medical center.
Synopsis: A total of 846 patients – admitted to one of two inpatient general medicine wards at Massachusetts General Hospital in Boston, and were English speaking, aged 18 years or older, and possessed the ability to complete a 20-item study questionnaire – were screened from January 2012 to January 2016. An interviewer-assisted questionnaire was coupled with structured medical records review. Among items assessed were demographic information, patient perceptions of health, satisfaction with inpatient care, confidence in ability to perform self-care and understanding of the care plan, presence of a caregiver, and patient-predicted likelihood of readmission. Of 846 enrolled patients, 201 were readmitted within 30 days. Readmitted patients were less likely to report being “very satisfied” with their overall care during the index admission, and less likely to report that physicians “always listened” to them during the index stay.
Bottom line: This is the first study to relate patients’ perceptions of their care during index hospitalization to the likelihood of readmission. Further investigation will be necessary to determine whether timely assessment of these perceptions can prompt effective intervention that improves likelihood of an enduringly successful transition home.
Citation: Carter J et al. The association between patient experience factors and likelihood of 30-day readmission: A prospective cohort study. BMJ Qual Saf. 2017 Nov 16. doi: 10.1136/bmjqs-2017-007184.
Dr. Helgerson is associate professor of medicine and section head, division of hospital medicine, University of Virginia.
Clinical question: Are patient perceptions of care during index hospitalization associated with likelihood of 30-day readmission?
Background: Hospital readmissions are costly (more than $40 billion annually) and common. Nearly one readmission in five is thought to be preventable. While many risk-prediction models exist, few incorporate patient perceptions during the index hospitalization or factors associated with patient experience.
Setting: Single-center academic medical center.
Synopsis: A total of 846 patients – admitted to one of two inpatient general medicine wards at Massachusetts General Hospital in Boston, and were English speaking, aged 18 years or older, and possessed the ability to complete a 20-item study questionnaire – were screened from January 2012 to January 2016. An interviewer-assisted questionnaire was coupled with structured medical records review. Among items assessed were demographic information, patient perceptions of health, satisfaction with inpatient care, confidence in ability to perform self-care and understanding of the care plan, presence of a caregiver, and patient-predicted likelihood of readmission. Of 846 enrolled patients, 201 were readmitted within 30 days. Readmitted patients were less likely to report being “very satisfied” with their overall care during the index admission, and less likely to report that physicians “always listened” to them during the index stay.
Bottom line: This is the first study to relate patients’ perceptions of their care during index hospitalization to the likelihood of readmission. Further investigation will be necessary to determine whether timely assessment of these perceptions can prompt effective intervention that improves likelihood of an enduringly successful transition home.
Citation: Carter J et al. The association between patient experience factors and likelihood of 30-day readmission: A prospective cohort study. BMJ Qual Saf. 2017 Nov 16. doi: 10.1136/bmjqs-2017-007184.
Dr. Helgerson is associate professor of medicine and section head, division of hospital medicine, University of Virginia.
Qualitative assessment of organizational barriers to optimal lung cancer care in a community hospital setting in the United States
Lung cancer is a major public health challenge in the United States. It is the leading cause of cancer death in the United States, accounting for 27% of all cancer deaths, and it has an aggregate 5-year survival rate of 18%.1 Advances in diagnostic and treatment options are rapidly increasing the complexity of lung cancer care delivery, which involves multiple specialty providers and often cuts across health care institutions.2-4 Navigating the process of care while coping with the complexities of the illness can be overwhelming for both the patient and the caregiver.5 With increasing regulations and cost-cutting measures, the health care system in the United States can pose many challenges, especially for those dealing with catastrophic and life-threatening illnesses. Any barrier to accessing care often increases anxiety in patients, who are already trying to cope with the management of their disease.6-8
The concept of barriers to quality care (such as the receipt of timely and appropriate diagnostic and staging work-up and treatment selection according to evidence-based guidelines) is generally used in the context of improving health care management or prevention programs.9-13 Barriers might include high costs, transportation, distance, underinsurance, limited hours for access to care, patient sharing by physicians, and a lack of access to information about physicians’ recommendations.10,14-16 Such barriers have been categorized as organizational (leadership and workforce), structural (process of care), clinical (provider-patient encounter), and macro (policy and population).17,18 Organizational barriers are defined as impediments encountered within the medical system and health care organizations when accessing, receiving, and delivering care.12 Several organizational barriers have been identified in the literature based on characteristics of the targeted population (eg, race, ethnicity, type of illness), key stakeholder views, and aspects of care (eg, screening, preventive practice, care, and treatment).
In a systematic review, Betancourt and colleagues reported provider-patient interactions, processes of care, and language as some of the barriers to receiving quality care.17 Although cancer screening has been shown to reduce mortality in the adult population for several types of cancer,19-21 barriers that impede access to services have been identified as emanating not only from the macro level (eg, age of screening, reimbursement problems, screening guidelines) or inter- and intra-individual levels (eg, awareness of screening, various perspectives on life and cancer, comorbidities, social support), but also from the organization (organizational infrastructure that inhibits screening because of limited participation in research trials) and provider levels (impaired communication regarding screening between patient and physician, low commitment to shared decision-making, provider’s awareness of screening and screening guidelines).18 Other organizational barriers, such as difficulty navigating the health care system, poor interaction between patients and medical staff, and language barriers, have been identified in a systematic review of breast cancer screening in immigrant and minority women.22
Other barriers to quality cancer care reported by patients include knowledge about the disease and treatment, poor communication with providers, lack of coordination and timeliness of care, and lack of attention to care. Providers have identified other barriers to quality care, which include a lack of access to care, reimbursement problems, poor psychosocial support services, accountability of care, provider workload, and inadequate patient education.23 Few qualitative studies have been conducted to understand the organizational barriers that lung cancer patients and their caregivers face within the health care system.
Through the use of focus groups, we sought the perspectives of lung cancer patients and their caregivers on the organizational barriers that they experience while navigating the health care system. Identifying and understanding these barriers can help health care professionals work with patients and their caregivers to alleviate these stressors in an already difficult time.3,24 In addition, a more thorough understanding of patients’ and caregivers’ perspectives on organizational barriers may help improve health care delivery and, thus, patient satisfaction.
Methods
With the approval of the Institutional Review Boards of the University of Memphis and the Baptist Memorial Health Care Corporation, we conducted focus groups with lung cancer patients and their informal caregivers to understand the challenges they encounter while navigating the health care system during their illness. The Baptist Memorial Health Care system is centered in the Mid-South region of the United States, which has some of the highest US lung cancer incidence rates.25
Research staff identified potential participants from a roster of patients provided by treatment clinics within the system. Patients eligible for this study had received care for suspected lung cancer within a community-based health care system within 6 months preceding the date of the focus group. Eligible patients were approached by the research staff by cold calling or in-person contact during clinic visits for their consent to participate in the study. From a compiled list of 219 patients, 89 received initial contact to gauge interest. Of those, 42 patients were formally approached and asked to participate; 22 agreed to participate, and 20 did not participate for reasons including illness, previous participation in other forms of patient feedback, lack of interest, failure to show up to focus group sessions, change of mind, lack of transportation, or other commitments. Patients identified their informal caregivers to form patient-caregiver dyads. All patients and caregivers provided written informed consent before participating in the focus groups.
We conducted 10 focus groups during March 2013 through January 2014 – 5 with 22 patients and 5 with 24 caregivers (Table 1). Eight of the focus groups were conducted in Memphis, Tennessee, and to obtain the perspectives of patients from a rural setting, we conducted 2 focus groups in Grenada, Mississippi. All of the focus groups were facilitated by a medical anthropologist (SK) and a clinical psychologist (KDW), neither of whom was affiliated with the health care system. Each facilitator was accompanied by a note-taker. Patient-caregiver dyads came to the designated location together. Two focus groups (one for patients, the other for caregivers) were then conducted simultaneously in 2 separate rooms. The facilitators used a pilot-tested focus group interview guide during each session. The items in the focus group guide revolved around experience with the health care system in diagnosis and treatment; timeliness with appointments and procedures for diagnosis and subsequent care; physician communication in being informed about the disease, treatment, and getting questions answered; coordination of care; other challenges in receiving quality care; and suggestions for improving the patient and caregiver experience with the health care system.
The focus group sessions lasted 1 to 2 hours and were audiorecorded and transcribed verbatim. The data were analyzed by using Dedoose software version 5.0.11 (Sociocultural Research Consultants, Los Angeles, California). Data collection and analysis were conducted concurrently to achieve theoretical saturation. Creswell’s 7-step analysis framework was used as a guide to code and interpret the data.26 The process involved collecting raw data, preparing and organizing transcripts, reading the transcripts, coding the data with the help of qualitative software, analyzing the data for themes and subthemes, interpreting the themes, and devising the meaning of the themes.26 Initial codes were categorized and compared to determine recurrent themes. Three members of the research team independently reviewed the transcripts, extensively discussed the content, and developed consensus around the identified themes. Critical and rigorous steps were taken throughout data collection and analysis to ensure the credibility, transferability, dependability, and confirmability of the qualitative data.27-29 In addition, elements of the Consolidated Criteria for Reporting Qualitative Research checklist were used to strengthen the data collection, analysis, and reporting process.30
Results
The 10 focus groups included 46 participants: 22 patients and 24 caregivers (some patients brought multiple caregivers). Of the 22 patients, 12 were women and 7 were black. An equal proportion of patients had at least a high school education as had a college or postgraduate degree. Although all of the patients had had a lung lesion suspicious for lung cancer, 19 eventually had a histologic diagnosis of lung cancer. The remaining 3 patients were all evaluated in a thoracic oncology clinic but were eventually found to have metastatic breast cancer, lymphoma, and a granuloma. Nine patients were either currently in the treatment decision-making process or actively receiving treatment, 11 had completed treatment within the preceding 6 months, and 2 had completed treatment more than 6 months previously. Treatment covered the spectrum from curative intent to palliative care. Of the 24 caregivers, 18 were women and 7 were black; 12 caregivers had at least a college education, of whom 2 had postgraduate degrees (Table 2).
Based on participants’ feedback, we identified 4 main levels within the system where barriers to optimal care occurred: policy, institutional, provider, and patient. From our qualitative analyses, we identified a central theme associated with each level, around which the barriers coalesced. The themes were insurance, scheduling, provider communication, and patient knowledge. At the policy level, medical insurance was perceived to affect the timeliness of care and to be a deterrent to timely diagnosis and quality treatment. Lack of insurance was a daunting obstacle for indigent patients. However, even those who were insured felt that dealing with insurance companies was a significant barrier to care. At the institutional level, appointment scheduling caused problems for both patients and their caregivers. At the health care provider level, communication was perceived as a major problem. And finally, at the patient level, both patient and caregiver lack of knowledge of lung cancer and the processes inherent in lung cancer treatment were barriers for optimal diagnosis and treatment (Table 3).
Insurance barriers
At the policy level, health insurance was reported as a significant barrier to accessing health care. Patients and caregivers reported delays in diagnosis and/or treatment because of either lack of insurance or lag time in insurance processing of clinician requests. Insurance restrictions on tests, procedures, and office visits presented difficulties in getting additional opinions from providers regarding diagnosis, prognosis, or treatment plans. Some patients were no longer able to see providers after they had met the test or office visit limit allotted by insurance providers. One patient shared the following experience with office visits leading up to their lung cancer diagnosis:
Patient … with my insurance I just had only 12 office visits … and I had already maxed those out.
In other instances, insurers would not cover hospital or clinic visits if certain logistic protocols were not met. This would sometimes leave patients stranded for a period of time without receiving any care.
Caretaker … went home and went to one of those minor emergency clinics and they sent her to [xx hospital in another city]. There they did nothing. That was then over the weekend, and my son wanted to get her out of there to get her into practice because they weren’t doing anything. They said, ‘No. Your insurance won’t pay for it unless you stay here till we sign the papers to be transferred.’ … It was a bandage. Period.
Some insurers would not cover certain health services outside of routine testing protocols for the patients’ conditions. This lack of coverage caused patients to pay out of pocket for needed care.
Patient Nothing in the lymph nodes, but if it hadn’t been for me going ahead with this [coronary] calcium score, the insurance wasn’t gonna pay anything. If it wouldn’t been for the 79 bucks or the family situation, I wouldn’t be sitting [here] today.
Individuals who had not yet met the age requirement for Medicare reported being without insurance for a period of time, which contributed to delays in accessing care.
Caregiver [xx patient] probably … could’ve been diagnosed maybe even months ago, but she is in that in-between where she gets Social Security but she’s not 65 until November, so she has no insurance.
Scheduling barriers
At the institutional level, patients and caregivers reported problems with appointment scheduling. Logistic problems with adjusting work schedules and arranging for transportation as well as long wait times before evaluation by a provider were recurrent themes expressed by both patients and caregivers. Many had become resigned to the expectation of long wait times during appointments.
Patient I have to call the month before to make the appointment because they don’t take appointments so far—‘Oh, we’re not working on that yet.’ I find that very annoying ....
Caregiver The last time I was there I waited four hours.
Caregiver … your appointment at 9:00 and you get called back at 9:30 or 10:00 and you get to see the doctor by 11:00, but that’s not any different than anywhere, unfortunately ….
Rescheduled appointments also posed a problem for participants. Constant rescheduling was an inconvenience for both patients and caregivers. Many were unhappy with rescheduling because both patients and caregivers had prepared mentally and physically for an appointment, only to be told that they would have to reschedule, which caused delays in the care process.
Patient I think every single visit I had with him gets rescheduled at least twice ....
Caregiver Three times this week we’ve been geared up, ready to have chemo and they keep changing it.
Patient Everything was fine with me, but they keep cancelling my appointments ....
Some participants perceived that the popularity of physicians might explain the difficulty with scheduling. Patients suggested that it is challenging to get appointments with better-known physicians, so they are more accepting of appointments at any time, even if the time is inconvenient for them.
Caregiver Of course, … if you have a popular doctor, sometimes you don’t always get the appointment you want …
Participants also expressed frustration with the way appointments were rescheduled. They felt as though the physicians were not concerned about their lives outside of office visits.
Patient … patients actually have lives. Many of them have jobs or families or responsibilities.
Communication barriers
At the provider level, poor communication between health care providers and patients was perceived as a major impediment to the quality of care patients received. Both patients and caregivers emphasized the importance of open patient-provider interactions and that there was a lack of such open communications in many instances. There was concern regarding the way diagnoses or prognoses were relayed to patients. Many times, physicians were insensitive and disregarded the sentiments of the patients and caregivers when delivering news about the patients’ condition, as one caregiver shared,
Caregiver … the pulmonary man came … in the room and said, ‘Oh, don’t worry about your lungs. Something else will get you first,’ which was a very, very bad thing to say.
Participants also expressed concerns that they were not properly prepared for treatments by their physicians because vital information was not discussed. They felt as if physicians were not realistic about potential outcomes. This resulted in patients and caregivers being too optimistic and later disappointed when the outcome was not what they had originally expected.
Patient Until I got to this office, I was totally oversold on everything. I was told surgery … robotic, not invasive. Day one, surgery. Day two, tubes out. Day three, go home. I expected to be home on Sunday night, stir-frying vegetables, and making dinner, feeding my cat. I was in ICU four days … I went home with oxygen. I mean I thought I was just gonna walk outta there…. You take a little thing out and you put a Band-Aid on, and you go home.
Data also revealed that patients were unsure of their condition, even following treatment. Information was not communicated to patients about the specifics of their disease, either because of miscommunication or minimal patient-provider time spent during office visits. This lack of communication between patients and providers often left patients and caregivers uncertain about exactly what condition they had or what they were being treated for.
Patient I just can’t have the time with Dr. xx, cuz he’s so busy...
Patient … I didn’t understand. Which exactly what type of cancer did I have, cuz I’m—really to tell you the truth—I’m still wondering.
Knowledge barriers
Patients and caregivers also identified a lack of education and knowledge about lung cancer diagnosis and treatment as a barrier to their care. Patients and caregivers were not always fully knowledgeable about lung cancer, treatment options, or the duration of treatments. They relied on the provider to disclose such information or direct them to credible sources. In many instances, patients were misinformed about the causes of lung cancer. There were misconceptions that lung cancer was only caused by a history of smoking or genetic predisposition. Patients who did not smoke or did not have a family history of lung cancer were often confused and dismayed by the diagnosis.
Patient I was trying to figure out, why do I have lung cancer. Never smoked a day in my life.
Patients were often unaware of treatment options or side effects of various treatments. They relied on physicians to relay information and make decisions for them about treatment plans.
Patient I was told chemo would probably be the best thing for me, and I just had faith that Dr. xx knows more about it than me.
Patient I’m doing chemo but it’s — what I’m doing is different. Of course, I don’t know anything about it actually either. It’s what I hear from other people.
Other patients relied on their own sources for information about their condition, either through the Internet, from family members and/or friends, or from preconceived notions.
Patient Well — of course in the meantime, I read — because they said it was a small cell, very aggressive, so I felt like everything I read — that’s the deal. I think we’ve become where we can get on the internet and look up so much, that to me, I was gonna be gone.
Patient When he said, ‘Cancer,’ I said, ‘Well, I thought cancer was a heredity thing? That you have to have somebody in your family that has it…’
Discussion
Organizational barriers are an important consideration in the delivery and receipt of high-quality, patient-centered lung cancer care. This qualitative study of patients being treated for lung cancer and their informal caregivers revealed several common perceived organizational barriers to receiving care, including health insurance coverage restrictions, appointment scheduling difficulties, quality of communication with physicians, and failure to properly educate the patient and family about the disease and what to expect of the treatment process.
The provider communication and patient knowledge barriers seem to reinforce each other and could be improved through focused efforts on the quality of communication between patients and their caregivers and clinical care providers. Patients expect, but are often deprived of, open and active dialogue with their providers. Improved communication can be helpful in educating patients and their caregivers about their disease, prognosis, and treatment goals. Although communication ranks highly as a patient and caregiver priority, there is often a disconnect between patients and caregivers and their physicians.31 Patients and caregivers often want to be more involved in the decision-making process, and effective communication between physicians and patients has been linked to the patient’s ability to understand, and also receive high-quality care.32,33 Failure to communicate effectively and educate patients on key aspects of their condition strips them of their autonomy in decision-making.
The involvement of a navigator for patients being treated for lung cancer could be pivotal in relieving the communication and scheduling barriers. The nurse navigator assists with coordinating effective communication and providing needed information between providers and patients and their caregivers. A navigator also serves as a single point of contact for patients and caregivers to communicate questions outside of physician visits or concerns that may not be urgent enough to warrant immediate physician response.34 The navigator coordinates patients’ appointment schedules and physician referrals and communicates the details of the next steps in the care-delivery process. This helps remove the barriers to care and improve patient outcomes and the quality of health care delivery, especially for patients and caregivers dealing with a life-threatening illness within a complex referral process.35
Multidisciplinary care, a much-recommended alternative care-delivery model, should, in theory, promote connectivity of providers and collaboration between providers, patients, and family members. This model could help reduce barriers for patients and caregivers.3,24,36 A network of connected providers can better coordinate treatment plans, easily share test results, and provide built-in second opinions. Given the increasingly multimodal approach to the diagnosis, staging, and treatment of lung cancer, the multidisciplinary model could allow physicians to consider multiple perspectives and care-delivery options and, ideally, develop consensus around the optimal approach for each individual patient in one setting. This can shorten the length of time before treatment and establish a plan that is tailored to the patient’s needs.24
The National Academy of Medicine (formerly, Institute of Medicine) proposes that modern health care systems have 6 aims for quality improvement: safety, effectiveness, patient-centeredness, timeliness, efficiency, and equity.37 It would take changes in the design and implementation of organizational support systems at the policy, institutional, and provider level for those aims to be achieved. Further investigation of the problems identified by patients and caregivers could lead to innovative solutions to improve lung cancer care. Future work should evaluate the most effective communication styles in patient-provider interactions, particularly in regard to to lung cancer diagnosis and treatment, and investigate how multidisciplinary models influence patient-provider communication and patient care.
Limitations
This study has several limitations. Less than half of those approached for the study participated in the study for various reasons, which may have introduced selection bias in terms of not having the perspectives of patients not willing or able to participate in the study. Though focus groups are known to generate rich in-depth views of certain issues, they have been criticized as potentially lacking rigor and generalizability. To address this concern, we used a standardized script for each focus group and involved multiple members of the research team in data analysis and interpretation. Also, this study enrolled participants from a single health care institution and did not use a comparison group. There might be institutional and geographic differences in the experience of lung cancer care, which might further limit the generalizability of the results of this study.
Conclusions
Despite those limitations, this study offers valuable insight into the barriers that lung cancer patients and caregivers encounter while navigating a community-level health care system. Eliminating or minimizing these barriers will require strategic plans that help mitigate insurance-related, scheduling, provider-patient communication, and patient/caregiver knowledge acquisition problems and translate them into tactical actions for quality improvement. This is one of the first qualitative studies conducted to understand the organizational barriers that lung cancer patients and their caregivers face within a health care system. Additional research is needed to explore these barriers and develop viable solutions.
Disclaimer
All statements in this report, including its findings and conclusions, are solely those of the authors and do not necessarily represent the views of the Patient-Centered Outcomes Research Institute or its Board of Governors or Methodology Committee.
1. Siegel RL, Miller KD, Jemal A. Cancer statistics, 2016. CA Cancer J Clin. 2016;66(1):7-30.
2. Riedel RF, Wang X, McCormack M, et al. Impact of a multidisciplinary thoracic oncology clinic on the timeliness of care. J Thorac Oncol. 2006;1(7):692-696.
3. Seek A, Hogle WP. Modeling a better way: navigating the health care system for patients with lung cancer. Clin J Oncol Nurs. 2007;11(1):81-85.
4. Sorensen R, Iedema R. Redefining accountability in health care: managing the plurality of medical interests. Health. 2008;12(1):87-106.
5. Mosher CE, Jaynes HA, Hanna N, Ostroff JS. Distressed family caregivers of lung cancer patients: an examination of psychosocial and practical challenges. Support Care Cancer. 2013;21(2):431-437.
6. Cantril C, Haylock PJ. Patient navigation in the oncology care setting. Semin Oncol Nurs. 2013;29(2):76-90.
7. Freeman HP. Patient navigation: a community based strategy to reduce cancer disparities. J Urban Health. 2006;83(2):139-141.
8. Kwon DH, Tisnado DM, Keating NL, et al. Physician reported barriers to referring cancer patients to specialists: prevalence, factors, and association with career satisfaction. Cancer. 2015;121(1):113-122.
9. Andersen SE. Implementation of a new prescription system. A qualitative survey of organizational barriers. Ugeskr Laeger. 2002;164(38):4449-4453.
10. Rousseau L, Guay M, Archambault D, El m’ala Z, Abdelaziz N. Do organizational barriers to pneumococcal and influenza vaccine access exist? Can J Public Health. 2007;98(2):105-110.
11. Storey J, Buchanan D. Health care governance and organizational barriers to learning from mistakes. J Health Organ Manag. 2008;22(6):642-651.
12. Ziegenfuss JT Jr. Organizational barriers to quality improvement in medical and health care organizations. Qual Assur Util Rev. 1991;6(4):115-122.
13. Rihari-Thomas J, DiGiacomo M, Phillips J, Newton P, Davidson PM. Clinician perspectives of barriers to effective implementation of a rapid response system in an academic health centre: a focus group study. Int J Health Policy Manag. 2017;6(8):447-456.
14. Dutton D. Financial, organizational and professional factors affecting health care utilization. Soc Sci Med. 1986;23(7):721-735.
15. King CJ, Chen J, Dagher RK, Holt CL, Thomas SB. Decomposing differences in medical care access among cancer survivors by race and ethnicity. Am J Med Qual. 2015;30(5):459-469.
16. Renzaho AM, Romios P, Crock C, Sønderlund AL. The effectiveness of cultural competence programs in ethnic minority patient-centered health care—a systematic review of the literature. Int J Qual Health Care. 2013;25(3):261-269.
17. Betancourt JR, Green AR, Carrillo JE, Ananeh-Firempong O. Defining cultural competence: a practical framework for addressing racial/ethnic disparities in health and health care. Public Health Rep. 2003;118(4):293-302.
18. Scheinfeld Gorin S, Gauthier J, Hay J, Miles A, Wardle J. Cancer screening and aging: research barriers and opportunities. Cancer. 2008;113(suppl 12):3493-3504.
19. Humphrey L, Deffebach M, Pappas M, et al. Screening for lung cancer: systematic review to update the US preventive services task force recommendation. Evidence syntheses No. 105. Rockville, MD: Agency for Health Care Research and Quality; 2013.
20. Nelson HD, Fu R, Cantor A, Pappas M, Daeges M, Humphrey L. Effectiveness of breast cancer screening: systematic review and meta-analysis to update the 2009 U.S. Preventive Services Task Force Recommendation. Ann Intern Med. 2016;164(4):244-255.
21. Zauber AG. The impact of screening on colorectal cancer mortality and incidence: has it really made a difference? Dig Dis Sci. 2015;60(3):681-691.
22. Remennick L. The challenge of early breast cancer detection among immigrant and minority women in multicultural societies. Breast J. 2006;12(suppl 1):103-110.
23. Hess LM, Pohl G. Perspectives of quality care in cancer treatment: a review of the literature. Am Health Drug Benefits. 2013;6(6):321-329.
24. Kedia SK, Ward KD, Digney SA, et al. ‘One-stop shop’: lung cancer patients’ and caregivers’ perceptions of multidisciplinary care in a community health care setting. Transl Lung Cancer Res. 2015;4(4):456-464.
25. US Cancer Statistics Working Group. United States cancer statistics: 1999-2014 incidence and mortality web-based report. Atlanta, GA: Department of Health and Human Services, Centers for Disease Control and Prevention, and National Cancer Institute. http://www.cdc.gov/uscs. Published 2017. Accessed November 21, 2017.
26. Creswell JW. Research design: qualitative, quantitative, and mixed methods approaches. 4th ed. Thousand Oaks, CA: SAGE Publications; 2014.
27. Ballinger C. Demonstrating rigour and quality? In Finlay L, Ballinger C, eds. Qualitative research for allied health professionals: challenging choices. Chichester, England: John Wiley & Sons Ltd; 2006:235-246.
28. Finlay L. ‘Rigour’, ‘ethical integrity’ or ‘artistry’? Reflexively reviewing criteria for evaluating qualitative research. Br J Occup Ther. 2006;69(7):319-326.
29. Lincoln YS, Guba EG. Naturalistic inquiry. Newbury Park, CA: SAGE Publications; 1985.
30. Tong A, Sainsbury P, Craig J. Consolidated criteria for reporting qualitative research (COREQ): a 32-item checklist for interviews and focus group. Int J Qual Health Care. 2007;19(6):349-357.
31. Neeman N, Quinn K, Shoeb M, Mourad M, Sehgal NL, Sliwka D. Postdischarge focus groups to improve the hospital experience. Am J Med Qual. 2013;28(6):536-538.
32. O’Day BL, Killeen M, Iezzoni LI. Improving health care experiences of persons who are blind or have low vision: suggestions from focus groups. Am J Med Qual. 2004;19(5):193-200.
33. Smith B, Lynch WD, Markow C, Lifsey S, Slover M. Consumers’ understanding of and interest in provider- versus practice-level quality characteristics: findings from a focus group study. Am J Med Qual. 2015;30(4):367-373.
34. Islam KM, Opoku ST, Apenteng BA, et al. Coping with an advanced stage lung cancer diagnosis: patient, caregiver, and provider perspectives on the role of the health care system. J Cancer Educ. 2016;31(3):554-558.
35. Pedersen A, Hack TF. Pilots of oncology health care: a concept analysis of the patient navigator role. Oncol Nurs Forum. 2010;37(1):55-60.
36. Gopal R. How to maintain multidisciplinary treatment schedules. J Support Oncol. 2005;3(3):248-256.
37. Committee on Quality of Health Care in America. Improving the 21st century health care system. In: Institute of Medicine, ed. Crossing the quality chasm: a new health system for the 21st century. Washington, DC: National Academies Press; 2001:39-60.
Lung cancer is a major public health challenge in the United States. It is the leading cause of cancer death in the United States, accounting for 27% of all cancer deaths, and it has an aggregate 5-year survival rate of 18%.1 Advances in diagnostic and treatment options are rapidly increasing the complexity of lung cancer care delivery, which involves multiple specialty providers and often cuts across health care institutions.2-4 Navigating the process of care while coping with the complexities of the illness can be overwhelming for both the patient and the caregiver.5 With increasing regulations and cost-cutting measures, the health care system in the United States can pose many challenges, especially for those dealing with catastrophic and life-threatening illnesses. Any barrier to accessing care often increases anxiety in patients, who are already trying to cope with the management of their disease.6-8
The concept of barriers to quality care (such as the receipt of timely and appropriate diagnostic and staging work-up and treatment selection according to evidence-based guidelines) is generally used in the context of improving health care management or prevention programs.9-13 Barriers might include high costs, transportation, distance, underinsurance, limited hours for access to care, patient sharing by physicians, and a lack of access to information about physicians’ recommendations.10,14-16 Such barriers have been categorized as organizational (leadership and workforce), structural (process of care), clinical (provider-patient encounter), and macro (policy and population).17,18 Organizational barriers are defined as impediments encountered within the medical system and health care organizations when accessing, receiving, and delivering care.12 Several organizational barriers have been identified in the literature based on characteristics of the targeted population (eg, race, ethnicity, type of illness), key stakeholder views, and aspects of care (eg, screening, preventive practice, care, and treatment).
In a systematic review, Betancourt and colleagues reported provider-patient interactions, processes of care, and language as some of the barriers to receiving quality care.17 Although cancer screening has been shown to reduce mortality in the adult population for several types of cancer,19-21 barriers that impede access to services have been identified as emanating not only from the macro level (eg, age of screening, reimbursement problems, screening guidelines) or inter- and intra-individual levels (eg, awareness of screening, various perspectives on life and cancer, comorbidities, social support), but also from the organization (organizational infrastructure that inhibits screening because of limited participation in research trials) and provider levels (impaired communication regarding screening between patient and physician, low commitment to shared decision-making, provider’s awareness of screening and screening guidelines).18 Other organizational barriers, such as difficulty navigating the health care system, poor interaction between patients and medical staff, and language barriers, have been identified in a systematic review of breast cancer screening in immigrant and minority women.22
Other barriers to quality cancer care reported by patients include knowledge about the disease and treatment, poor communication with providers, lack of coordination and timeliness of care, and lack of attention to care. Providers have identified other barriers to quality care, which include a lack of access to care, reimbursement problems, poor psychosocial support services, accountability of care, provider workload, and inadequate patient education.23 Few qualitative studies have been conducted to understand the organizational barriers that lung cancer patients and their caregivers face within the health care system.
Through the use of focus groups, we sought the perspectives of lung cancer patients and their caregivers on the organizational barriers that they experience while navigating the health care system. Identifying and understanding these barriers can help health care professionals work with patients and their caregivers to alleviate these stressors in an already difficult time.3,24 In addition, a more thorough understanding of patients’ and caregivers’ perspectives on organizational barriers may help improve health care delivery and, thus, patient satisfaction.
Methods
With the approval of the Institutional Review Boards of the University of Memphis and the Baptist Memorial Health Care Corporation, we conducted focus groups with lung cancer patients and their informal caregivers to understand the challenges they encounter while navigating the health care system during their illness. The Baptist Memorial Health Care system is centered in the Mid-South region of the United States, which has some of the highest US lung cancer incidence rates.25
Research staff identified potential participants from a roster of patients provided by treatment clinics within the system. Patients eligible for this study had received care for suspected lung cancer within a community-based health care system within 6 months preceding the date of the focus group. Eligible patients were approached by the research staff by cold calling or in-person contact during clinic visits for their consent to participate in the study. From a compiled list of 219 patients, 89 received initial contact to gauge interest. Of those, 42 patients were formally approached and asked to participate; 22 agreed to participate, and 20 did not participate for reasons including illness, previous participation in other forms of patient feedback, lack of interest, failure to show up to focus group sessions, change of mind, lack of transportation, or other commitments. Patients identified their informal caregivers to form patient-caregiver dyads. All patients and caregivers provided written informed consent before participating in the focus groups.
We conducted 10 focus groups during March 2013 through January 2014 – 5 with 22 patients and 5 with 24 caregivers (Table 1). Eight of the focus groups were conducted in Memphis, Tennessee, and to obtain the perspectives of patients from a rural setting, we conducted 2 focus groups in Grenada, Mississippi. All of the focus groups were facilitated by a medical anthropologist (SK) and a clinical psychologist (KDW), neither of whom was affiliated with the health care system. Each facilitator was accompanied by a note-taker. Patient-caregiver dyads came to the designated location together. Two focus groups (one for patients, the other for caregivers) were then conducted simultaneously in 2 separate rooms. The facilitators used a pilot-tested focus group interview guide during each session. The items in the focus group guide revolved around experience with the health care system in diagnosis and treatment; timeliness with appointments and procedures for diagnosis and subsequent care; physician communication in being informed about the disease, treatment, and getting questions answered; coordination of care; other challenges in receiving quality care; and suggestions for improving the patient and caregiver experience with the health care system.
The focus group sessions lasted 1 to 2 hours and were audiorecorded and transcribed verbatim. The data were analyzed by using Dedoose software version 5.0.11 (Sociocultural Research Consultants, Los Angeles, California). Data collection and analysis were conducted concurrently to achieve theoretical saturation. Creswell’s 7-step analysis framework was used as a guide to code and interpret the data.26 The process involved collecting raw data, preparing and organizing transcripts, reading the transcripts, coding the data with the help of qualitative software, analyzing the data for themes and subthemes, interpreting the themes, and devising the meaning of the themes.26 Initial codes were categorized and compared to determine recurrent themes. Three members of the research team independently reviewed the transcripts, extensively discussed the content, and developed consensus around the identified themes. Critical and rigorous steps were taken throughout data collection and analysis to ensure the credibility, transferability, dependability, and confirmability of the qualitative data.27-29 In addition, elements of the Consolidated Criteria for Reporting Qualitative Research checklist were used to strengthen the data collection, analysis, and reporting process.30
Results
The 10 focus groups included 46 participants: 22 patients and 24 caregivers (some patients brought multiple caregivers). Of the 22 patients, 12 were women and 7 were black. An equal proportion of patients had at least a high school education as had a college or postgraduate degree. Although all of the patients had had a lung lesion suspicious for lung cancer, 19 eventually had a histologic diagnosis of lung cancer. The remaining 3 patients were all evaluated in a thoracic oncology clinic but were eventually found to have metastatic breast cancer, lymphoma, and a granuloma. Nine patients were either currently in the treatment decision-making process or actively receiving treatment, 11 had completed treatment within the preceding 6 months, and 2 had completed treatment more than 6 months previously. Treatment covered the spectrum from curative intent to palliative care. Of the 24 caregivers, 18 were women and 7 were black; 12 caregivers had at least a college education, of whom 2 had postgraduate degrees (Table 2).
Based on participants’ feedback, we identified 4 main levels within the system where barriers to optimal care occurred: policy, institutional, provider, and patient. From our qualitative analyses, we identified a central theme associated with each level, around which the barriers coalesced. The themes were insurance, scheduling, provider communication, and patient knowledge. At the policy level, medical insurance was perceived to affect the timeliness of care and to be a deterrent to timely diagnosis and quality treatment. Lack of insurance was a daunting obstacle for indigent patients. However, even those who were insured felt that dealing with insurance companies was a significant barrier to care. At the institutional level, appointment scheduling caused problems for both patients and their caregivers. At the health care provider level, communication was perceived as a major problem. And finally, at the patient level, both patient and caregiver lack of knowledge of lung cancer and the processes inherent in lung cancer treatment were barriers for optimal diagnosis and treatment (Table 3).
Insurance barriers
At the policy level, health insurance was reported as a significant barrier to accessing health care. Patients and caregivers reported delays in diagnosis and/or treatment because of either lack of insurance or lag time in insurance processing of clinician requests. Insurance restrictions on tests, procedures, and office visits presented difficulties in getting additional opinions from providers regarding diagnosis, prognosis, or treatment plans. Some patients were no longer able to see providers after they had met the test or office visit limit allotted by insurance providers. One patient shared the following experience with office visits leading up to their lung cancer diagnosis:
Patient … with my insurance I just had only 12 office visits … and I had already maxed those out.
In other instances, insurers would not cover hospital or clinic visits if certain logistic protocols were not met. This would sometimes leave patients stranded for a period of time without receiving any care.
Caretaker … went home and went to one of those minor emergency clinics and they sent her to [xx hospital in another city]. There they did nothing. That was then over the weekend, and my son wanted to get her out of there to get her into practice because they weren’t doing anything. They said, ‘No. Your insurance won’t pay for it unless you stay here till we sign the papers to be transferred.’ … It was a bandage. Period.
Some insurers would not cover certain health services outside of routine testing protocols for the patients’ conditions. This lack of coverage caused patients to pay out of pocket for needed care.
Patient Nothing in the lymph nodes, but if it hadn’t been for me going ahead with this [coronary] calcium score, the insurance wasn’t gonna pay anything. If it wouldn’t been for the 79 bucks or the family situation, I wouldn’t be sitting [here] today.
Individuals who had not yet met the age requirement for Medicare reported being without insurance for a period of time, which contributed to delays in accessing care.
Caregiver [xx patient] probably … could’ve been diagnosed maybe even months ago, but she is in that in-between where she gets Social Security but she’s not 65 until November, so she has no insurance.
Scheduling barriers
At the institutional level, patients and caregivers reported problems with appointment scheduling. Logistic problems with adjusting work schedules and arranging for transportation as well as long wait times before evaluation by a provider were recurrent themes expressed by both patients and caregivers. Many had become resigned to the expectation of long wait times during appointments.
Patient I have to call the month before to make the appointment because they don’t take appointments so far—‘Oh, we’re not working on that yet.’ I find that very annoying ....
Caregiver The last time I was there I waited four hours.
Caregiver … your appointment at 9:00 and you get called back at 9:30 or 10:00 and you get to see the doctor by 11:00, but that’s not any different than anywhere, unfortunately ….
Rescheduled appointments also posed a problem for participants. Constant rescheduling was an inconvenience for both patients and caregivers. Many were unhappy with rescheduling because both patients and caregivers had prepared mentally and physically for an appointment, only to be told that they would have to reschedule, which caused delays in the care process.
Patient I think every single visit I had with him gets rescheduled at least twice ....
Caregiver Three times this week we’ve been geared up, ready to have chemo and they keep changing it.
Patient Everything was fine with me, but they keep cancelling my appointments ....
Some participants perceived that the popularity of physicians might explain the difficulty with scheduling. Patients suggested that it is challenging to get appointments with better-known physicians, so they are more accepting of appointments at any time, even if the time is inconvenient for them.
Caregiver Of course, … if you have a popular doctor, sometimes you don’t always get the appointment you want …
Participants also expressed frustration with the way appointments were rescheduled. They felt as though the physicians were not concerned about their lives outside of office visits.
Patient … patients actually have lives. Many of them have jobs or families or responsibilities.
Communication barriers
At the provider level, poor communication between health care providers and patients was perceived as a major impediment to the quality of care patients received. Both patients and caregivers emphasized the importance of open patient-provider interactions and that there was a lack of such open communications in many instances. There was concern regarding the way diagnoses or prognoses were relayed to patients. Many times, physicians were insensitive and disregarded the sentiments of the patients and caregivers when delivering news about the patients’ condition, as one caregiver shared,
Caregiver … the pulmonary man came … in the room and said, ‘Oh, don’t worry about your lungs. Something else will get you first,’ which was a very, very bad thing to say.
Participants also expressed concerns that they were not properly prepared for treatments by their physicians because vital information was not discussed. They felt as if physicians were not realistic about potential outcomes. This resulted in patients and caregivers being too optimistic and later disappointed when the outcome was not what they had originally expected.
Patient Until I got to this office, I was totally oversold on everything. I was told surgery … robotic, not invasive. Day one, surgery. Day two, tubes out. Day three, go home. I expected to be home on Sunday night, stir-frying vegetables, and making dinner, feeding my cat. I was in ICU four days … I went home with oxygen. I mean I thought I was just gonna walk outta there…. You take a little thing out and you put a Band-Aid on, and you go home.
Data also revealed that patients were unsure of their condition, even following treatment. Information was not communicated to patients about the specifics of their disease, either because of miscommunication or minimal patient-provider time spent during office visits. This lack of communication between patients and providers often left patients and caregivers uncertain about exactly what condition they had or what they were being treated for.
Patient I just can’t have the time with Dr. xx, cuz he’s so busy...
Patient … I didn’t understand. Which exactly what type of cancer did I have, cuz I’m—really to tell you the truth—I’m still wondering.
Knowledge barriers
Patients and caregivers also identified a lack of education and knowledge about lung cancer diagnosis and treatment as a barrier to their care. Patients and caregivers were not always fully knowledgeable about lung cancer, treatment options, or the duration of treatments. They relied on the provider to disclose such information or direct them to credible sources. In many instances, patients were misinformed about the causes of lung cancer. There were misconceptions that lung cancer was only caused by a history of smoking or genetic predisposition. Patients who did not smoke or did not have a family history of lung cancer were often confused and dismayed by the diagnosis.
Patient I was trying to figure out, why do I have lung cancer. Never smoked a day in my life.
Patients were often unaware of treatment options or side effects of various treatments. They relied on physicians to relay information and make decisions for them about treatment plans.
Patient I was told chemo would probably be the best thing for me, and I just had faith that Dr. xx knows more about it than me.
Patient I’m doing chemo but it’s — what I’m doing is different. Of course, I don’t know anything about it actually either. It’s what I hear from other people.
Other patients relied on their own sources for information about their condition, either through the Internet, from family members and/or friends, or from preconceived notions.
Patient Well — of course in the meantime, I read — because they said it was a small cell, very aggressive, so I felt like everything I read — that’s the deal. I think we’ve become where we can get on the internet and look up so much, that to me, I was gonna be gone.
Patient When he said, ‘Cancer,’ I said, ‘Well, I thought cancer was a heredity thing? That you have to have somebody in your family that has it…’
Discussion
Organizational barriers are an important consideration in the delivery and receipt of high-quality, patient-centered lung cancer care. This qualitative study of patients being treated for lung cancer and their informal caregivers revealed several common perceived organizational barriers to receiving care, including health insurance coverage restrictions, appointment scheduling difficulties, quality of communication with physicians, and failure to properly educate the patient and family about the disease and what to expect of the treatment process.
The provider communication and patient knowledge barriers seem to reinforce each other and could be improved through focused efforts on the quality of communication between patients and their caregivers and clinical care providers. Patients expect, but are often deprived of, open and active dialogue with their providers. Improved communication can be helpful in educating patients and their caregivers about their disease, prognosis, and treatment goals. Although communication ranks highly as a patient and caregiver priority, there is often a disconnect between patients and caregivers and their physicians.31 Patients and caregivers often want to be more involved in the decision-making process, and effective communication between physicians and patients has been linked to the patient’s ability to understand, and also receive high-quality care.32,33 Failure to communicate effectively and educate patients on key aspects of their condition strips them of their autonomy in decision-making.
The involvement of a navigator for patients being treated for lung cancer could be pivotal in relieving the communication and scheduling barriers. The nurse navigator assists with coordinating effective communication and providing needed information between providers and patients and their caregivers. A navigator also serves as a single point of contact for patients and caregivers to communicate questions outside of physician visits or concerns that may not be urgent enough to warrant immediate physician response.34 The navigator coordinates patients’ appointment schedules and physician referrals and communicates the details of the next steps in the care-delivery process. This helps remove the barriers to care and improve patient outcomes and the quality of health care delivery, especially for patients and caregivers dealing with a life-threatening illness within a complex referral process.35
Multidisciplinary care, a much-recommended alternative care-delivery model, should, in theory, promote connectivity of providers and collaboration between providers, patients, and family members. This model could help reduce barriers for patients and caregivers.3,24,36 A network of connected providers can better coordinate treatment plans, easily share test results, and provide built-in second opinions. Given the increasingly multimodal approach to the diagnosis, staging, and treatment of lung cancer, the multidisciplinary model could allow physicians to consider multiple perspectives and care-delivery options and, ideally, develop consensus around the optimal approach for each individual patient in one setting. This can shorten the length of time before treatment and establish a plan that is tailored to the patient’s needs.24
The National Academy of Medicine (formerly, Institute of Medicine) proposes that modern health care systems have 6 aims for quality improvement: safety, effectiveness, patient-centeredness, timeliness, efficiency, and equity.37 It would take changes in the design and implementation of organizational support systems at the policy, institutional, and provider level for those aims to be achieved. Further investigation of the problems identified by patients and caregivers could lead to innovative solutions to improve lung cancer care. Future work should evaluate the most effective communication styles in patient-provider interactions, particularly in regard to to lung cancer diagnosis and treatment, and investigate how multidisciplinary models influence patient-provider communication and patient care.
Limitations
This study has several limitations. Less than half of those approached for the study participated in the study for various reasons, which may have introduced selection bias in terms of not having the perspectives of patients not willing or able to participate in the study. Though focus groups are known to generate rich in-depth views of certain issues, they have been criticized as potentially lacking rigor and generalizability. To address this concern, we used a standardized script for each focus group and involved multiple members of the research team in data analysis and interpretation. Also, this study enrolled participants from a single health care institution and did not use a comparison group. There might be institutional and geographic differences in the experience of lung cancer care, which might further limit the generalizability of the results of this study.
Conclusions
Despite those limitations, this study offers valuable insight into the barriers that lung cancer patients and caregivers encounter while navigating a community-level health care system. Eliminating or minimizing these barriers will require strategic plans that help mitigate insurance-related, scheduling, provider-patient communication, and patient/caregiver knowledge acquisition problems and translate them into tactical actions for quality improvement. This is one of the first qualitative studies conducted to understand the organizational barriers that lung cancer patients and their caregivers face within a health care system. Additional research is needed to explore these barriers and develop viable solutions.
Disclaimer
All statements in this report, including its findings and conclusions, are solely those of the authors and do not necessarily represent the views of the Patient-Centered Outcomes Research Institute or its Board of Governors or Methodology Committee.
Lung cancer is a major public health challenge in the United States. It is the leading cause of cancer death in the United States, accounting for 27% of all cancer deaths, and it has an aggregate 5-year survival rate of 18%.1 Advances in diagnostic and treatment options are rapidly increasing the complexity of lung cancer care delivery, which involves multiple specialty providers and often cuts across health care institutions.2-4 Navigating the process of care while coping with the complexities of the illness can be overwhelming for both the patient and the caregiver.5 With increasing regulations and cost-cutting measures, the health care system in the United States can pose many challenges, especially for those dealing with catastrophic and life-threatening illnesses. Any barrier to accessing care often increases anxiety in patients, who are already trying to cope with the management of their disease.6-8
The concept of barriers to quality care (such as the receipt of timely and appropriate diagnostic and staging work-up and treatment selection according to evidence-based guidelines) is generally used in the context of improving health care management or prevention programs.9-13 Barriers might include high costs, transportation, distance, underinsurance, limited hours for access to care, patient sharing by physicians, and a lack of access to information about physicians’ recommendations.10,14-16 Such barriers have been categorized as organizational (leadership and workforce), structural (process of care), clinical (provider-patient encounter), and macro (policy and population).17,18 Organizational barriers are defined as impediments encountered within the medical system and health care organizations when accessing, receiving, and delivering care.12 Several organizational barriers have been identified in the literature based on characteristics of the targeted population (eg, race, ethnicity, type of illness), key stakeholder views, and aspects of care (eg, screening, preventive practice, care, and treatment).
In a systematic review, Betancourt and colleagues reported provider-patient interactions, processes of care, and language as some of the barriers to receiving quality care.17 Although cancer screening has been shown to reduce mortality in the adult population for several types of cancer,19-21 barriers that impede access to services have been identified as emanating not only from the macro level (eg, age of screening, reimbursement problems, screening guidelines) or inter- and intra-individual levels (eg, awareness of screening, various perspectives on life and cancer, comorbidities, social support), but also from the organization (organizational infrastructure that inhibits screening because of limited participation in research trials) and provider levels (impaired communication regarding screening between patient and physician, low commitment to shared decision-making, provider’s awareness of screening and screening guidelines).18 Other organizational barriers, such as difficulty navigating the health care system, poor interaction between patients and medical staff, and language barriers, have been identified in a systematic review of breast cancer screening in immigrant and minority women.22
Other barriers to quality cancer care reported by patients include knowledge about the disease and treatment, poor communication with providers, lack of coordination and timeliness of care, and lack of attention to care. Providers have identified other barriers to quality care, which include a lack of access to care, reimbursement problems, poor psychosocial support services, accountability of care, provider workload, and inadequate patient education.23 Few qualitative studies have been conducted to understand the organizational barriers that lung cancer patients and their caregivers face within the health care system.
Through the use of focus groups, we sought the perspectives of lung cancer patients and their caregivers on the organizational barriers that they experience while navigating the health care system. Identifying and understanding these barriers can help health care professionals work with patients and their caregivers to alleviate these stressors in an already difficult time.3,24 In addition, a more thorough understanding of patients’ and caregivers’ perspectives on organizational barriers may help improve health care delivery and, thus, patient satisfaction.
Methods
With the approval of the Institutional Review Boards of the University of Memphis and the Baptist Memorial Health Care Corporation, we conducted focus groups with lung cancer patients and their informal caregivers to understand the challenges they encounter while navigating the health care system during their illness. The Baptist Memorial Health Care system is centered in the Mid-South region of the United States, which has some of the highest US lung cancer incidence rates.25
Research staff identified potential participants from a roster of patients provided by treatment clinics within the system. Patients eligible for this study had received care for suspected lung cancer within a community-based health care system within 6 months preceding the date of the focus group. Eligible patients were approached by the research staff by cold calling or in-person contact during clinic visits for their consent to participate in the study. From a compiled list of 219 patients, 89 received initial contact to gauge interest. Of those, 42 patients were formally approached and asked to participate; 22 agreed to participate, and 20 did not participate for reasons including illness, previous participation in other forms of patient feedback, lack of interest, failure to show up to focus group sessions, change of mind, lack of transportation, or other commitments. Patients identified their informal caregivers to form patient-caregiver dyads. All patients and caregivers provided written informed consent before participating in the focus groups.
We conducted 10 focus groups during March 2013 through January 2014 – 5 with 22 patients and 5 with 24 caregivers (Table 1). Eight of the focus groups were conducted in Memphis, Tennessee, and to obtain the perspectives of patients from a rural setting, we conducted 2 focus groups in Grenada, Mississippi. All of the focus groups were facilitated by a medical anthropologist (SK) and a clinical psychologist (KDW), neither of whom was affiliated with the health care system. Each facilitator was accompanied by a note-taker. Patient-caregiver dyads came to the designated location together. Two focus groups (one for patients, the other for caregivers) were then conducted simultaneously in 2 separate rooms. The facilitators used a pilot-tested focus group interview guide during each session. The items in the focus group guide revolved around experience with the health care system in diagnosis and treatment; timeliness with appointments and procedures for diagnosis and subsequent care; physician communication in being informed about the disease, treatment, and getting questions answered; coordination of care; other challenges in receiving quality care; and suggestions for improving the patient and caregiver experience with the health care system.
The focus group sessions lasted 1 to 2 hours and were audiorecorded and transcribed verbatim. The data were analyzed by using Dedoose software version 5.0.11 (Sociocultural Research Consultants, Los Angeles, California). Data collection and analysis were conducted concurrently to achieve theoretical saturation. Creswell’s 7-step analysis framework was used as a guide to code and interpret the data.26 The process involved collecting raw data, preparing and organizing transcripts, reading the transcripts, coding the data with the help of qualitative software, analyzing the data for themes and subthemes, interpreting the themes, and devising the meaning of the themes.26 Initial codes were categorized and compared to determine recurrent themes. Three members of the research team independently reviewed the transcripts, extensively discussed the content, and developed consensus around the identified themes. Critical and rigorous steps were taken throughout data collection and analysis to ensure the credibility, transferability, dependability, and confirmability of the qualitative data.27-29 In addition, elements of the Consolidated Criteria for Reporting Qualitative Research checklist were used to strengthen the data collection, analysis, and reporting process.30
Results
The 10 focus groups included 46 participants: 22 patients and 24 caregivers (some patients brought multiple caregivers). Of the 22 patients, 12 were women and 7 were black. An equal proportion of patients had at least a high school education as had a college or postgraduate degree. Although all of the patients had had a lung lesion suspicious for lung cancer, 19 eventually had a histologic diagnosis of lung cancer. The remaining 3 patients were all evaluated in a thoracic oncology clinic but were eventually found to have metastatic breast cancer, lymphoma, and a granuloma. Nine patients were either currently in the treatment decision-making process or actively receiving treatment, 11 had completed treatment within the preceding 6 months, and 2 had completed treatment more than 6 months previously. Treatment covered the spectrum from curative intent to palliative care. Of the 24 caregivers, 18 were women and 7 were black; 12 caregivers had at least a college education, of whom 2 had postgraduate degrees (Table 2).
Based on participants’ feedback, we identified 4 main levels within the system where barriers to optimal care occurred: policy, institutional, provider, and patient. From our qualitative analyses, we identified a central theme associated with each level, around which the barriers coalesced. The themes were insurance, scheduling, provider communication, and patient knowledge. At the policy level, medical insurance was perceived to affect the timeliness of care and to be a deterrent to timely diagnosis and quality treatment. Lack of insurance was a daunting obstacle for indigent patients. However, even those who were insured felt that dealing with insurance companies was a significant barrier to care. At the institutional level, appointment scheduling caused problems for both patients and their caregivers. At the health care provider level, communication was perceived as a major problem. And finally, at the patient level, both patient and caregiver lack of knowledge of lung cancer and the processes inherent in lung cancer treatment were barriers for optimal diagnosis and treatment (Table 3).
Insurance barriers
At the policy level, health insurance was reported as a significant barrier to accessing health care. Patients and caregivers reported delays in diagnosis and/or treatment because of either lack of insurance or lag time in insurance processing of clinician requests. Insurance restrictions on tests, procedures, and office visits presented difficulties in getting additional opinions from providers regarding diagnosis, prognosis, or treatment plans. Some patients were no longer able to see providers after they had met the test or office visit limit allotted by insurance providers. One patient shared the following experience with office visits leading up to their lung cancer diagnosis:
Patient … with my insurance I just had only 12 office visits … and I had already maxed those out.
In other instances, insurers would not cover hospital or clinic visits if certain logistic protocols were not met. This would sometimes leave patients stranded for a period of time without receiving any care.
Caretaker … went home and went to one of those minor emergency clinics and they sent her to [xx hospital in another city]. There they did nothing. That was then over the weekend, and my son wanted to get her out of there to get her into practice because they weren’t doing anything. They said, ‘No. Your insurance won’t pay for it unless you stay here till we sign the papers to be transferred.’ … It was a bandage. Period.
Some insurers would not cover certain health services outside of routine testing protocols for the patients’ conditions. This lack of coverage caused patients to pay out of pocket for needed care.
Patient Nothing in the lymph nodes, but if it hadn’t been for me going ahead with this [coronary] calcium score, the insurance wasn’t gonna pay anything. If it wouldn’t been for the 79 bucks or the family situation, I wouldn’t be sitting [here] today.
Individuals who had not yet met the age requirement for Medicare reported being without insurance for a period of time, which contributed to delays in accessing care.
Caregiver [xx patient] probably … could’ve been diagnosed maybe even months ago, but she is in that in-between where she gets Social Security but she’s not 65 until November, so she has no insurance.
Scheduling barriers
At the institutional level, patients and caregivers reported problems with appointment scheduling. Logistic problems with adjusting work schedules and arranging for transportation as well as long wait times before evaluation by a provider were recurrent themes expressed by both patients and caregivers. Many had become resigned to the expectation of long wait times during appointments.
Patient I have to call the month before to make the appointment because they don’t take appointments so far—‘Oh, we’re not working on that yet.’ I find that very annoying ....
Caregiver The last time I was there I waited four hours.
Caregiver … your appointment at 9:00 and you get called back at 9:30 or 10:00 and you get to see the doctor by 11:00, but that’s not any different than anywhere, unfortunately ….
Rescheduled appointments also posed a problem for participants. Constant rescheduling was an inconvenience for both patients and caregivers. Many were unhappy with rescheduling because both patients and caregivers had prepared mentally and physically for an appointment, only to be told that they would have to reschedule, which caused delays in the care process.
Patient I think every single visit I had with him gets rescheduled at least twice ....
Caregiver Three times this week we’ve been geared up, ready to have chemo and they keep changing it.
Patient Everything was fine with me, but they keep cancelling my appointments ....
Some participants perceived that the popularity of physicians might explain the difficulty with scheduling. Patients suggested that it is challenging to get appointments with better-known physicians, so they are more accepting of appointments at any time, even if the time is inconvenient for them.
Caregiver Of course, … if you have a popular doctor, sometimes you don’t always get the appointment you want …
Participants also expressed frustration with the way appointments were rescheduled. They felt as though the physicians were not concerned about their lives outside of office visits.
Patient … patients actually have lives. Many of them have jobs or families or responsibilities.
Communication barriers
At the provider level, poor communication between health care providers and patients was perceived as a major impediment to the quality of care patients received. Both patients and caregivers emphasized the importance of open patient-provider interactions and that there was a lack of such open communications in many instances. There was concern regarding the way diagnoses or prognoses were relayed to patients. Many times, physicians were insensitive and disregarded the sentiments of the patients and caregivers when delivering news about the patients’ condition, as one caregiver shared,
Caregiver … the pulmonary man came … in the room and said, ‘Oh, don’t worry about your lungs. Something else will get you first,’ which was a very, very bad thing to say.
Participants also expressed concerns that they were not properly prepared for treatments by their physicians because vital information was not discussed. They felt as if physicians were not realistic about potential outcomes. This resulted in patients and caregivers being too optimistic and later disappointed when the outcome was not what they had originally expected.
Patient Until I got to this office, I was totally oversold on everything. I was told surgery … robotic, not invasive. Day one, surgery. Day two, tubes out. Day three, go home. I expected to be home on Sunday night, stir-frying vegetables, and making dinner, feeding my cat. I was in ICU four days … I went home with oxygen. I mean I thought I was just gonna walk outta there…. You take a little thing out and you put a Band-Aid on, and you go home.
Data also revealed that patients were unsure of their condition, even following treatment. Information was not communicated to patients about the specifics of their disease, either because of miscommunication or minimal patient-provider time spent during office visits. This lack of communication between patients and providers often left patients and caregivers uncertain about exactly what condition they had or what they were being treated for.
Patient I just can’t have the time with Dr. xx, cuz he’s so busy...
Patient … I didn’t understand. Which exactly what type of cancer did I have, cuz I’m—really to tell you the truth—I’m still wondering.
Knowledge barriers
Patients and caregivers also identified a lack of education and knowledge about lung cancer diagnosis and treatment as a barrier to their care. Patients and caregivers were not always fully knowledgeable about lung cancer, treatment options, or the duration of treatments. They relied on the provider to disclose such information or direct them to credible sources. In many instances, patients were misinformed about the causes of lung cancer. There were misconceptions that lung cancer was only caused by a history of smoking or genetic predisposition. Patients who did not smoke or did not have a family history of lung cancer were often confused and dismayed by the diagnosis.
Patient I was trying to figure out, why do I have lung cancer. Never smoked a day in my life.
Patients were often unaware of treatment options or side effects of various treatments. They relied on physicians to relay information and make decisions for them about treatment plans.
Patient I was told chemo would probably be the best thing for me, and I just had faith that Dr. xx knows more about it than me.
Patient I’m doing chemo but it’s — what I’m doing is different. Of course, I don’t know anything about it actually either. It’s what I hear from other people.
Other patients relied on their own sources for information about their condition, either through the Internet, from family members and/or friends, or from preconceived notions.
Patient Well — of course in the meantime, I read — because they said it was a small cell, very aggressive, so I felt like everything I read — that’s the deal. I think we’ve become where we can get on the internet and look up so much, that to me, I was gonna be gone.
Patient When he said, ‘Cancer,’ I said, ‘Well, I thought cancer was a heredity thing? That you have to have somebody in your family that has it…’
Discussion
Organizational barriers are an important consideration in the delivery and receipt of high-quality, patient-centered lung cancer care. This qualitative study of patients being treated for lung cancer and their informal caregivers revealed several common perceived organizational barriers to receiving care, including health insurance coverage restrictions, appointment scheduling difficulties, quality of communication with physicians, and failure to properly educate the patient and family about the disease and what to expect of the treatment process.
The provider communication and patient knowledge barriers seem to reinforce each other and could be improved through focused efforts on the quality of communication between patients and their caregivers and clinical care providers. Patients expect, but are often deprived of, open and active dialogue with their providers. Improved communication can be helpful in educating patients and their caregivers about their disease, prognosis, and treatment goals. Although communication ranks highly as a patient and caregiver priority, there is often a disconnect between patients and caregivers and their physicians.31 Patients and caregivers often want to be more involved in the decision-making process, and effective communication between physicians and patients has been linked to the patient’s ability to understand, and also receive high-quality care.32,33 Failure to communicate effectively and educate patients on key aspects of their condition strips them of their autonomy in decision-making.
The involvement of a navigator for patients being treated for lung cancer could be pivotal in relieving the communication and scheduling barriers. The nurse navigator assists with coordinating effective communication and providing needed information between providers and patients and their caregivers. A navigator also serves as a single point of contact for patients and caregivers to communicate questions outside of physician visits or concerns that may not be urgent enough to warrant immediate physician response.34 The navigator coordinates patients’ appointment schedules and physician referrals and communicates the details of the next steps in the care-delivery process. This helps remove the barriers to care and improve patient outcomes and the quality of health care delivery, especially for patients and caregivers dealing with a life-threatening illness within a complex referral process.35
Multidisciplinary care, a much-recommended alternative care-delivery model, should, in theory, promote connectivity of providers and collaboration between providers, patients, and family members. This model could help reduce barriers for patients and caregivers.3,24,36 A network of connected providers can better coordinate treatment plans, easily share test results, and provide built-in second opinions. Given the increasingly multimodal approach to the diagnosis, staging, and treatment of lung cancer, the multidisciplinary model could allow physicians to consider multiple perspectives and care-delivery options and, ideally, develop consensus around the optimal approach for each individual patient in one setting. This can shorten the length of time before treatment and establish a plan that is tailored to the patient’s needs.24
The National Academy of Medicine (formerly, Institute of Medicine) proposes that modern health care systems have 6 aims for quality improvement: safety, effectiveness, patient-centeredness, timeliness, efficiency, and equity.37 It would take changes in the design and implementation of organizational support systems at the policy, institutional, and provider level for those aims to be achieved. Further investigation of the problems identified by patients and caregivers could lead to innovative solutions to improve lung cancer care. Future work should evaluate the most effective communication styles in patient-provider interactions, particularly in regard to to lung cancer diagnosis and treatment, and investigate how multidisciplinary models influence patient-provider communication and patient care.
Limitations
This study has several limitations. Less than half of those approached for the study participated in the study for various reasons, which may have introduced selection bias in terms of not having the perspectives of patients not willing or able to participate in the study. Though focus groups are known to generate rich in-depth views of certain issues, they have been criticized as potentially lacking rigor and generalizability. To address this concern, we used a standardized script for each focus group and involved multiple members of the research team in data analysis and interpretation. Also, this study enrolled participants from a single health care institution and did not use a comparison group. There might be institutional and geographic differences in the experience of lung cancer care, which might further limit the generalizability of the results of this study.
Conclusions
Despite those limitations, this study offers valuable insight into the barriers that lung cancer patients and caregivers encounter while navigating a community-level health care system. Eliminating or minimizing these barriers will require strategic plans that help mitigate insurance-related, scheduling, provider-patient communication, and patient/caregiver knowledge acquisition problems and translate them into tactical actions for quality improvement. This is one of the first qualitative studies conducted to understand the organizational barriers that lung cancer patients and their caregivers face within a health care system. Additional research is needed to explore these barriers and develop viable solutions.
Disclaimer
All statements in this report, including its findings and conclusions, are solely those of the authors and do not necessarily represent the views of the Patient-Centered Outcomes Research Institute or its Board of Governors or Methodology Committee.
1. Siegel RL, Miller KD, Jemal A. Cancer statistics, 2016. CA Cancer J Clin. 2016;66(1):7-30.
2. Riedel RF, Wang X, McCormack M, et al. Impact of a multidisciplinary thoracic oncology clinic on the timeliness of care. J Thorac Oncol. 2006;1(7):692-696.
3. Seek A, Hogle WP. Modeling a better way: navigating the health care system for patients with lung cancer. Clin J Oncol Nurs. 2007;11(1):81-85.
4. Sorensen R, Iedema R. Redefining accountability in health care: managing the plurality of medical interests. Health. 2008;12(1):87-106.
5. Mosher CE, Jaynes HA, Hanna N, Ostroff JS. Distressed family caregivers of lung cancer patients: an examination of psychosocial and practical challenges. Support Care Cancer. 2013;21(2):431-437.
6. Cantril C, Haylock PJ. Patient navigation in the oncology care setting. Semin Oncol Nurs. 2013;29(2):76-90.
7. Freeman HP. Patient navigation: a community based strategy to reduce cancer disparities. J Urban Health. 2006;83(2):139-141.
8. Kwon DH, Tisnado DM, Keating NL, et al. Physician reported barriers to referring cancer patients to specialists: prevalence, factors, and association with career satisfaction. Cancer. 2015;121(1):113-122.
9. Andersen SE. Implementation of a new prescription system. A qualitative survey of organizational barriers. Ugeskr Laeger. 2002;164(38):4449-4453.
10. Rousseau L, Guay M, Archambault D, El m’ala Z, Abdelaziz N. Do organizational barriers to pneumococcal and influenza vaccine access exist? Can J Public Health. 2007;98(2):105-110.
11. Storey J, Buchanan D. Health care governance and organizational barriers to learning from mistakes. J Health Organ Manag. 2008;22(6):642-651.
12. Ziegenfuss JT Jr. Organizational barriers to quality improvement in medical and health care organizations. Qual Assur Util Rev. 1991;6(4):115-122.
13. Rihari-Thomas J, DiGiacomo M, Phillips J, Newton P, Davidson PM. Clinician perspectives of barriers to effective implementation of a rapid response system in an academic health centre: a focus group study. Int J Health Policy Manag. 2017;6(8):447-456.
14. Dutton D. Financial, organizational and professional factors affecting health care utilization. Soc Sci Med. 1986;23(7):721-735.
15. King CJ, Chen J, Dagher RK, Holt CL, Thomas SB. Decomposing differences in medical care access among cancer survivors by race and ethnicity. Am J Med Qual. 2015;30(5):459-469.
16. Renzaho AM, Romios P, Crock C, Sønderlund AL. The effectiveness of cultural competence programs in ethnic minority patient-centered health care—a systematic review of the literature. Int J Qual Health Care. 2013;25(3):261-269.
17. Betancourt JR, Green AR, Carrillo JE, Ananeh-Firempong O. Defining cultural competence: a practical framework for addressing racial/ethnic disparities in health and health care. Public Health Rep. 2003;118(4):293-302.
18. Scheinfeld Gorin S, Gauthier J, Hay J, Miles A, Wardle J. Cancer screening and aging: research barriers and opportunities. Cancer. 2008;113(suppl 12):3493-3504.
19. Humphrey L, Deffebach M, Pappas M, et al. Screening for lung cancer: systematic review to update the US preventive services task force recommendation. Evidence syntheses No. 105. Rockville, MD: Agency for Health Care Research and Quality; 2013.
20. Nelson HD, Fu R, Cantor A, Pappas M, Daeges M, Humphrey L. Effectiveness of breast cancer screening: systematic review and meta-analysis to update the 2009 U.S. Preventive Services Task Force Recommendation. Ann Intern Med. 2016;164(4):244-255.
21. Zauber AG. The impact of screening on colorectal cancer mortality and incidence: has it really made a difference? Dig Dis Sci. 2015;60(3):681-691.
22. Remennick L. The challenge of early breast cancer detection among immigrant and minority women in multicultural societies. Breast J. 2006;12(suppl 1):103-110.
23. Hess LM, Pohl G. Perspectives of quality care in cancer treatment: a review of the literature. Am Health Drug Benefits. 2013;6(6):321-329.
24. Kedia SK, Ward KD, Digney SA, et al. ‘One-stop shop’: lung cancer patients’ and caregivers’ perceptions of multidisciplinary care in a community health care setting. Transl Lung Cancer Res. 2015;4(4):456-464.
25. US Cancer Statistics Working Group. United States cancer statistics: 1999-2014 incidence and mortality web-based report. Atlanta, GA: Department of Health and Human Services, Centers for Disease Control and Prevention, and National Cancer Institute. http://www.cdc.gov/uscs. Published 2017. Accessed November 21, 2017.
26. Creswell JW. Research design: qualitative, quantitative, and mixed methods approaches. 4th ed. Thousand Oaks, CA: SAGE Publications; 2014.
27. Ballinger C. Demonstrating rigour and quality? In Finlay L, Ballinger C, eds. Qualitative research for allied health professionals: challenging choices. Chichester, England: John Wiley & Sons Ltd; 2006:235-246.
28. Finlay L. ‘Rigour’, ‘ethical integrity’ or ‘artistry’? Reflexively reviewing criteria for evaluating qualitative research. Br J Occup Ther. 2006;69(7):319-326.
29. Lincoln YS, Guba EG. Naturalistic inquiry. Newbury Park, CA: SAGE Publications; 1985.
30. Tong A, Sainsbury P, Craig J. Consolidated criteria for reporting qualitative research (COREQ): a 32-item checklist for interviews and focus group. Int J Qual Health Care. 2007;19(6):349-357.
31. Neeman N, Quinn K, Shoeb M, Mourad M, Sehgal NL, Sliwka D. Postdischarge focus groups to improve the hospital experience. Am J Med Qual. 2013;28(6):536-538.
32. O’Day BL, Killeen M, Iezzoni LI. Improving health care experiences of persons who are blind or have low vision: suggestions from focus groups. Am J Med Qual. 2004;19(5):193-200.
33. Smith B, Lynch WD, Markow C, Lifsey S, Slover M. Consumers’ understanding of and interest in provider- versus practice-level quality characteristics: findings from a focus group study. Am J Med Qual. 2015;30(4):367-373.
34. Islam KM, Opoku ST, Apenteng BA, et al. Coping with an advanced stage lung cancer diagnosis: patient, caregiver, and provider perspectives on the role of the health care system. J Cancer Educ. 2016;31(3):554-558.
35. Pedersen A, Hack TF. Pilots of oncology health care: a concept analysis of the patient navigator role. Oncol Nurs Forum. 2010;37(1):55-60.
36. Gopal R. How to maintain multidisciplinary treatment schedules. J Support Oncol. 2005;3(3):248-256.
37. Committee on Quality of Health Care in America. Improving the 21st century health care system. In: Institute of Medicine, ed. Crossing the quality chasm: a new health system for the 21st century. Washington, DC: National Academies Press; 2001:39-60.
1. Siegel RL, Miller KD, Jemal A. Cancer statistics, 2016. CA Cancer J Clin. 2016;66(1):7-30.
2. Riedel RF, Wang X, McCormack M, et al. Impact of a multidisciplinary thoracic oncology clinic on the timeliness of care. J Thorac Oncol. 2006;1(7):692-696.
3. Seek A, Hogle WP. Modeling a better way: navigating the health care system for patients with lung cancer. Clin J Oncol Nurs. 2007;11(1):81-85.
4. Sorensen R, Iedema R. Redefining accountability in health care: managing the plurality of medical interests. Health. 2008;12(1):87-106.
5. Mosher CE, Jaynes HA, Hanna N, Ostroff JS. Distressed family caregivers of lung cancer patients: an examination of psychosocial and practical challenges. Support Care Cancer. 2013;21(2):431-437.
6. Cantril C, Haylock PJ. Patient navigation in the oncology care setting. Semin Oncol Nurs. 2013;29(2):76-90.
7. Freeman HP. Patient navigation: a community based strategy to reduce cancer disparities. J Urban Health. 2006;83(2):139-141.
8. Kwon DH, Tisnado DM, Keating NL, et al. Physician reported barriers to referring cancer patients to specialists: prevalence, factors, and association with career satisfaction. Cancer. 2015;121(1):113-122.
9. Andersen SE. Implementation of a new prescription system. A qualitative survey of organizational barriers. Ugeskr Laeger. 2002;164(38):4449-4453.
10. Rousseau L, Guay M, Archambault D, El m’ala Z, Abdelaziz N. Do organizational barriers to pneumococcal and influenza vaccine access exist? Can J Public Health. 2007;98(2):105-110.
11. Storey J, Buchanan D. Health care governance and organizational barriers to learning from mistakes. J Health Organ Manag. 2008;22(6):642-651.
12. Ziegenfuss JT Jr. Organizational barriers to quality improvement in medical and health care organizations. Qual Assur Util Rev. 1991;6(4):115-122.
13. Rihari-Thomas J, DiGiacomo M, Phillips J, Newton P, Davidson PM. Clinician perspectives of barriers to effective implementation of a rapid response system in an academic health centre: a focus group study. Int J Health Policy Manag. 2017;6(8):447-456.
14. Dutton D. Financial, organizational and professional factors affecting health care utilization. Soc Sci Med. 1986;23(7):721-735.
15. King CJ, Chen J, Dagher RK, Holt CL, Thomas SB. Decomposing differences in medical care access among cancer survivors by race and ethnicity. Am J Med Qual. 2015;30(5):459-469.
16. Renzaho AM, Romios P, Crock C, Sønderlund AL. The effectiveness of cultural competence programs in ethnic minority patient-centered health care—a systematic review of the literature. Int J Qual Health Care. 2013;25(3):261-269.
17. Betancourt JR, Green AR, Carrillo JE, Ananeh-Firempong O. Defining cultural competence: a practical framework for addressing racial/ethnic disparities in health and health care. Public Health Rep. 2003;118(4):293-302.
18. Scheinfeld Gorin S, Gauthier J, Hay J, Miles A, Wardle J. Cancer screening and aging: research barriers and opportunities. Cancer. 2008;113(suppl 12):3493-3504.
19. Humphrey L, Deffebach M, Pappas M, et al. Screening for lung cancer: systematic review to update the US preventive services task force recommendation. Evidence syntheses No. 105. Rockville, MD: Agency for Health Care Research and Quality; 2013.
20. Nelson HD, Fu R, Cantor A, Pappas M, Daeges M, Humphrey L. Effectiveness of breast cancer screening: systematic review and meta-analysis to update the 2009 U.S. Preventive Services Task Force Recommendation. Ann Intern Med. 2016;164(4):244-255.
21. Zauber AG. The impact of screening on colorectal cancer mortality and incidence: has it really made a difference? Dig Dis Sci. 2015;60(3):681-691.
22. Remennick L. The challenge of early breast cancer detection among immigrant and minority women in multicultural societies. Breast J. 2006;12(suppl 1):103-110.
23. Hess LM, Pohl G. Perspectives of quality care in cancer treatment: a review of the literature. Am Health Drug Benefits. 2013;6(6):321-329.
24. Kedia SK, Ward KD, Digney SA, et al. ‘One-stop shop’: lung cancer patients’ and caregivers’ perceptions of multidisciplinary care in a community health care setting. Transl Lung Cancer Res. 2015;4(4):456-464.
25. US Cancer Statistics Working Group. United States cancer statistics: 1999-2014 incidence and mortality web-based report. Atlanta, GA: Department of Health and Human Services, Centers for Disease Control and Prevention, and National Cancer Institute. http://www.cdc.gov/uscs. Published 2017. Accessed November 21, 2017.
26. Creswell JW. Research design: qualitative, quantitative, and mixed methods approaches. 4th ed. Thousand Oaks, CA: SAGE Publications; 2014.
27. Ballinger C. Demonstrating rigour and quality? In Finlay L, Ballinger C, eds. Qualitative research for allied health professionals: challenging choices. Chichester, England: John Wiley & Sons Ltd; 2006:235-246.
28. Finlay L. ‘Rigour’, ‘ethical integrity’ or ‘artistry’? Reflexively reviewing criteria for evaluating qualitative research. Br J Occup Ther. 2006;69(7):319-326.
29. Lincoln YS, Guba EG. Naturalistic inquiry. Newbury Park, CA: SAGE Publications; 1985.
30. Tong A, Sainsbury P, Craig J. Consolidated criteria for reporting qualitative research (COREQ): a 32-item checklist for interviews and focus group. Int J Qual Health Care. 2007;19(6):349-357.
31. Neeman N, Quinn K, Shoeb M, Mourad M, Sehgal NL, Sliwka D. Postdischarge focus groups to improve the hospital experience. Am J Med Qual. 2013;28(6):536-538.
32. O’Day BL, Killeen M, Iezzoni LI. Improving health care experiences of persons who are blind or have low vision: suggestions from focus groups. Am J Med Qual. 2004;19(5):193-200.
33. Smith B, Lynch WD, Markow C, Lifsey S, Slover M. Consumers’ understanding of and interest in provider- versus practice-level quality characteristics: findings from a focus group study. Am J Med Qual. 2015;30(4):367-373.
34. Islam KM, Opoku ST, Apenteng BA, et al. Coping with an advanced stage lung cancer diagnosis: patient, caregiver, and provider perspectives on the role of the health care system. J Cancer Educ. 2016;31(3):554-558.
35. Pedersen A, Hack TF. Pilots of oncology health care: a concept analysis of the patient navigator role. Oncol Nurs Forum. 2010;37(1):55-60.
36. Gopal R. How to maintain multidisciplinary treatment schedules. J Support Oncol. 2005;3(3):248-256.
37. Committee on Quality of Health Care in America. Improving the 21st century health care system. In: Institute of Medicine, ed. Crossing the quality chasm: a new health system for the 21st century. Washington, DC: National Academies Press; 2001:39-60.
The impact of patient education on consideration of enrollment in clinical trials
The low rate of participation in clinical trials is partly owing to the lack of awareness of these trials not only among potential participants but the US population as a whole.1 This lack of awareness, however, can be reversed. For example, findings from a single-institution observational study showed that systematically sending letters about clinical trial participation to all new lung cancer patients was associated with increased trial participation.2 More recently, a large, multicenter, randomized experiment showed that attitudes toward clinical trials were improved through preparatory education about clinical trials before a patient’s first oncologic visit.3
Such clinical trial education can be used before any medical diagnosis to increase clinical trial awareness in the general population. It may be advantageous to do so because people tend to process information more effectively during less stressful times.4 Clinical trial awareness in the US population has increased slightly over time, but in 2012, one study reported that 26% of its participants lacked general awareness about clinical trials.5
Comprehensive educational material, such as a multimedia psychoeducational intervention,6 a 28-video library,3 or a 160-page book,7 which have been proposed for oncology patients, may be too intensive for someone who is not immediately deciding whether to participate in a clinical trial. However, a simple, concise form of education might be preferable and appropriate to increase basic knowledge and awareness among the general population, especially among those who are less educated.8
Our aim in the present study was to evaluate whether providing brief educational material about clinical trials would increase patient willingness to participate in these trials.
Methods
This is a single-group, cross-sectional design study in which all participants were administered the questions and the 240-word educational statement in the same order.
Sample
An electronic survey was conducted by Marketing and Planning Systems (the analytics practice of Kantar Millwardbrown) on behalf of the Memorial Sloan Kettering Cancer Center (MSK). The survey included a national sample of 1011 participants and a local sample of 500 participants from the MSK catchment area (22 counties across the 5 boroughs of New York City, Long Island, southern New York State, northern New Jersey, and southwestern Connecticut).
Survey participants were aged 18 to 69 years in the national sample and 25 to 69 years in the local sample, representing 87% and 75% of the adult populations of those areas, respectively. Respondents who were or who had a family member currently working in the fields of news, advertising/marketing, or medical care were not surveyed. Participants were sourced from an online incentivized panel with millions of potential respondents representative of the US adult population.
Questionnaire
The questionnaire collected data on participant demographics and main medical history (including previous participation in a clinical trial), and asked questions about clinical trials, focusing on:
Analyses
Descriptive and bivariate statistical analyses of participants’ characteristics were weighted to ensure national representativeness for gender, age, ethnicity, and income. Mean standard deviation (SD) was computed for every quantitative variable. Categorical variables were expressed as proportions.
Student t tests and analyses of variance (ANOVAs) were used to compare continuous variables, while chi-square tests were used to compare categorical data. Repeated measures ANOVAs were then used to determine the sociodemographic and medical characteristics associated with the impression of and willingness to enroll in a clinical trial before and after reading the educational material. The interaction between education level and time (pre- or postreading assessment) was tested to determine if the changes after reading the brief statement were different depending on education level.
All statistical analyses were 2-tailed and considered statistically significant at P < .05. Analyses were performed using SPSS PAWS Statistics 24 (IBM Inc, Armonk, New York). Effect sizes (standardized mean differences) and their 95% confidence intervals (CIs) were computed using the compute.es package for R 3.3 (R Foundation for Statistical Computing, Vienna, Austria).
Results
Participants
From October 23, 2015, through November 12, 2015, 1511 US participants responded to the survey request, including 1507 respondents (99.7%) who reported their education level and are included in the analyses of this report. The mean age of the respondents was 43.5 years (SD, 4.6). More than half of the respondents (57.8%) reported a current medical condition, mainly cardiovascular (20.0%), arthritis (20.0%), or other type or chronic pain (20.0%), and 9.0% reported a cancer diagnosis (current, 2.9%; previous, 6.1%).
Participants who at most had completed high school (18.9%, including 1.4% who had never even attended high school) were more often white women, lived outside urban areas, had lower household income, and were less likely to have health care insurance (Table 2). They also reported a current or previous cancer diagnosis less often than those of similar age who had attended college.
Previous participation in a clinical trial was reported by 9.6% of participants. Most of the clinical trials (75.0%) were testing a new drug. Previous trial participants were more likely to be older than those who had not participated in trials (46.1 years [SD, 14.8] vs 43.3 [SD, 4.6], repectively; P = .033), have a current health condition (86.2% vs 54.8%; P < .001), and know another trial participant (39.9% vs 9.5%; P < .001).
Education level and baseline impression of and
willingness to enroll in a clinical trial
A lower level of education was associated with a decreased likelihood of previous trial participation or of knowing a trial participant, as well as with less awareness and inaccurate perceptions of clinical trials (Table 2).
Participants with a high school degree or less were more likely to have a worse impression of and were less likely to enroll in a future hypothetical clinical trial before reading the educational material (Figure 1). Multivariable analyses confirmed that lower education level was associated with lower baseline overall impression, regardless of other personal characteristics (Table 3). Lowest household income was also associated with a more negative impression of trials, whereas participants with a current medical condition and with previous contact with clinical trials had a more positive impression of them. The same effects were observed with likeliness to enroll in a future hypothetical clinical trial (correlated with the overall impression: r, 0.63; P < .001), except that the negative effect of female gender was statistically significant (Table 3).
Posteducation impression of and willingnes to enroll
willingness to enroll in a clinical trial
The brief educational material was mostly considered believable (86.2%), easy to understand (84.8%), and included information that was new to participants (81.5%; Table 2). Participants with a high school diploma or less more often noted that the material provided them with new information, but they also reported more difficulties in fully understanding and believing the information. Overall, however, few participants found the information difficult to understand (4.6%) or hard to believe (1.8%; Table 2).
Most participants had an improved overall impression of clinical trials (standardized mean difference, 0.42; 95% CI, 0.35-0.50; P < .001) after reading the educational material. This increase was higher among participants with a lower completed level of education (Figure 1; standardized mean difference, 0.62; 95% CI, 0.45-0.79; Pinteraction < .001). The same effects were observed for likeliness to enroll in a future hypothetical clinical trial (P < .001; Figure 1).
After reading the informational statement, education level effect was no longer significantly associated with the overall impression of clinical trials (P = .23) and willingness to enroll in a clinical trial (P = .34), whereas the effects of income, current medical condition, and previous engangement with clinical trials remained statistically significant (Table 3).
Remaining challenges
Regarding hypothetical participation in a future clinical trial after a cancer diagnosis, the most critical concerns were related to side effects and the uncertainty of insurance coverage (Figure 2).10 The lack of understanding of clinical trials was the least critical concern; however, it was significantly higher among participants with a lower completed level of education. These participants also expressed more critical concerns about feeling like a “guinea pig,” inconvenient trial location, and the frequent visits needed.
Discussion
Findings from this survey demonstrated that providing brief educational material about cancer clinical trials was associated with a more favorable impression of clinical trials and higher interest in trial participation. Furthermore, as far as we can ascertain, this is the first report showing how a simple intervention such as this may help close the knowledge gap on clinical trials among people of different educational backgrounds. Although most respondents in this interventional survey noted an increased willingness to consider participation in a clinical trial after reading the educational material, those with a lower level of education and knowledge about clinical trials received the most benefit. Previous participation in a clinical trial was also strongly associated with the impression of and willingness to enroll in a trial, both before and after reading the statement.11
Most of the interventions evaluated to date12 have focused on patients who are faced with having to decide whether to participate in a clinical trial2,3 or on very specific populations, such as select ethnic communities.13,14 However, it may be beneficial to provide simple, concise educational information about clinical trials to the general population, especially to those with minimal education. Although level of education concerns the minority of our sample (19%) sourced from an online panel, in the 2015 Current Population Survey, 41% of US participants aged 25 and older had not reached college education.15 Those with a lower level of education have reported a general lack of familiarity with clinical trials and were more likely to have inaccurate perceptions about trials. This is consistent with previous studies that have shown the lack of awareness and knowledge of clinical trials in this population.5,16,17 Our findings suggest that this knowledge gap can be reversed through a simple educational intervention and result in an increased willingness to participate.
The provision of information on clinical trials was positively associated with the 2 outcomes analyzed – improved impression of clinical trials and increased likelihood to enroll in a hypothetical trial. Such improvement might not translate to improved accrual,18 but it is a step toward closing the overall knowledge gap related to clinical trials and increasing the number of people who would consider trial participation. The lack of awareness of clinical trials has been reported as a legitimate explanation for why participation rates are lower in less-educated patient populations.19,20 This brief educational intervention is a simple, technology-sparing way to increase clinical trial awareness in the general population. In a similar survey, most physicians who reviewed an educational statement noted they were likely to use it with patients.21Less-educated patients, those who lived outside of urban areas, and those with lower household incomes were most concerned about trial location and the frequent visits needed when participating in a trial (Figure 2). Living in a nonurban area was not associated with participant impression of clinical trials or willingness to enroll in a trial. However, rural residency may be a barrier to enrollment depending on distance to the hospital22 and out-of-pocket expenses related to travel.23 Some comprehensive cancer centers, such as MSK, have developed alliances with community centers24 as a means of overcoming geographical barriers and increasing clinical trial participation rates.
Another concern shared by most respondents was the uncertainty in insurance coverage and potential out-of-pocket costs related to care. Lower household income, unlike location of residence and lack of insurance, was significantly associated with negative impressions of clinical trials and lower willingness to enroll in a trial, even after adjusting for education level. Cancer patients with higher financial burden have reported more attitudinal barriers, even after accounting for the negative effect of lower education level.25 Recent studies have also discussed the negative impact of lower income on cancer clinical trial participation,19,20,26,27 and new attention has been paid to the negative financial implications or “financial toxicity” of participating in a trial.23,28
White and older survey participants showed similar interest in clinical trial participation after accounting for other characteristics. There is growing evidence that outcome differences attributed to race may in fact be more dependent on socioeconomic status.8 A recent study among breast cancer patients showed that low socioeconomic status, but not race, was associated with decreased participation in clinical trials.29,30 Previous findings have also indicated that interest in clinical trials and barriers to enrollment among older, less-educated patients31 are often related to ineligibility, comorbidity, or communication difficulties.
Among our participants, the fear of side effects also was a common attitudinal barrier to clinical trial participation, as has been reported in previous studies.3,20 However, contrary to one previous study,20 this fear was not significantly increased among our less-educated participants.
Less-educated participants also reported more difficulties in understanding the information they were provided with, and they remained more concerned about being treated like “guinea pigs.” These concerns are consistent with other results showing that decisional conflict about clinical trial participation among patients with a high school diploma or less remained high even after they had received a National Cancer Institute text as pre-education material.3
Limitations
The lack of randomization makes it difficult to attribute with certainty that the change in acceptability of clinical trial participation is owing to the reading of the educational statement. The survey also sampled only English-speaking and well-educated participants from an online panel (81.1% had at least attended college) despite the use of a weighting procedure to ensure representativeness regarding gender, age, ethnicity, and income. Health literacy level or more specific trial literacy level was not evaluated; however, we were able to show less accurate perceptions of clinical trials among participants with a lower level of education by using agreement toward 8 statements about trials. The responses to hypothetical questions from these participants in the general population may also not be generalizable to a restricted population of patients with cancer. In addition, we measured impression of and willingness to enroll in a clinical trial immediately after providing participants with the educational material. We would have to confirm whether the positive effects of the education persist over time and translate to higher clinical trial participation rates.
Conclusions
Participants were receptive of educational material and expressed greater interest in and likelihood of enrolling in a clinical trial after reading it. The information had a greater effect on those with less education, but increased the willingness of all participants to enroll.
1. Ford JG, Howerton MW, Lai GY, et al. Barriers to recruiting underrepresented populations to cancer clinical trials: a systematic review. Cancer. 2008;112(2):228-242.
2. Quinn GP, Bell BA, Bell MY, et al. The guinea pig syndrome: improving clinical trial participation among thoracic patients. J Thorac Oncol. 2007;2(3):191-196.
3. Meropol NJ, Wong Y-N, Albrecht T, et al. Randomized trial of a web-based intervention to address barriers to clinical trials. J Clin Oncol. 2016;34(5):469-478.
4. Goldberg RJ. Disclosure of information to adult cancer patients: issues and update. J Clin Oncol. 1984;2(8):948-955.
5. Leiter A, Diefenbach MA, Doucette J, Oh WK, Galsky MD. Clinical trial awareness: changes over time and sociodemographic disparities. Clin Trials. 2015;12(3):215-223.
6. Jacobsen PB, Wells KJ, Meade CD, et al. Effects of a brief multimedia psychoeducational intervention on the attitudes and interest of patients with cancer regarding clinical trial participation: a multicenter randomized controlled trial. J Clin Oncol. 2012;30(20):2516-2521.
7. Carney PA, Tucker EK, Newby TA, Beer TM. Feasibility, acceptability and findings from a pilot randomized controlled intervention study on the impact of a book designed to inform patients about cancer clinical trials. J Cancer Educ. 2014;29(1):181-187.
8. Sharrocks K, Spicer J, Camidge DR, Papa S. The impact of socioeconomic status on access to cancer clinical trials. Br J Cancer. 2014;111(9):1684-1687.
9. Regan J, Hickey C, Targett C, Masuda S, Sabbatini P. Framing clinical research and the importance of trial participation: patient and physician perspective. Poster presented at: 8th Annual AACI Clinical Research Initiative Meeting; July 20-21 2016; Chicago, IL.
10. Mancini J, Genre D, Dalenc F, et al. Patients’ regrets after participating in a randomized controlled trials depended on their involvement in the decision making. J Clin Epidemiol. 2012;65(6):635-642
11. Murphy ST, Frank LB, Chatterjee JS, et al. Comparing the relative efficacy of narrative vs nonnarrative health messages in reducing health disparities using a randomized trial. Am J Public Health. 2015;105(10):2117-2123.
12. Treweek S, Lockhart P, Pitkethly M, et al. Methods to improve recruitment to randomised controlled trials: Cochrane systematic review and meta-analysis. BMJ Open. 2013;3(2):e002360. doi:10.1136/bmjopen-2012-002360.
13. Ma GX, Tan Y, Blakeney NC, et al. The impact of a community-based clinical trial educational intervention among underrepresented Chinese Americans. Cancer Epidemiol Biomarkers Prev. 2014;23(3):424-432.
14. Cupertino AP, Molina CSP, de los Rios JB, et al. Knowledge, awareness, and interest in cancer clinical trials among rural latinos following brief education by promotores de salud. J Community Med Health Educ. 2015;5:2161. doi:10.4172/2161-0711.1000358
15. Ryan CL, Bauman K. Educational attainment in the United States: 2015. https://www.census.gov/content/dam/Census/library/publications/2016/demo/p20-578.pdf. Published March 2016. Accessed October 18, 2016.
16. Lara PN Jr, Paterniti DA, Chiechi C, et al. Evaluation of factors affecting awareness of and willingness to participate in cancer clinical trials. J Clin Oncol. 2005;23(36):9282-9289.
17. Dhai A, Etheredge H, Cleaton-Jones P. A pilot study evaluating an intervention designed to raise awareness of clinical trials among potential participants in the developing world. J Med Ethics. 2010;36(4):238-242.
18. Denicoff AM, McCaskill-Stevens W, Grubbs SS, et al. The National Cancer Institute–American Society of Clinical Oncology Cancer Trial Accrual Symposium: summary and recommendations. J Oncol Pract. 2013;9(6):267-276.
19. Davison BJ, So A, Goldenberg SL, Berkowitz J, Gleave ME. Measurement of factors influencing the participation of patients with prostate cancer in clinical trials: a Canadian perspective. BJU Int. 2008;101(8):982-987.
20. Unger JM, Hershman DL, Albain KS, et al. Patient income level and cancer clinical trial participation. J Clin Oncol. 2013;31(5):536-542.
21. IRB Advisor. Education may overcome reticence to join trials. Relias website. http://www.ahcmedia.com/articles/138088-education-may-overcome-reticence-to-join-trials. Published July 1, 2016. Accessed July 29, 2016.
22. Vanderpool RC, Kornfeld J, Mills L, Byrne MM. Rural-urban differences in discussions of cancer treatment clinical trials. Patient Educ Couns. 2011;85(2):e69-e74.
23. Meropol NJ. Health policy: overcoming cost barriers to clinical trial participation. Nat Rev Clin Oncol. 2016;13(6):333-334.
24. MSK Cancer Alliance. Memorial Sloan Kettering Cancer Center website. https://www.mskcc.org/about/innovative-collaborations/msk-alliance. Updated March 7, 2018. Accessed August 18, 2016.
25. Manne S, Kashy D, Albrecht T, et al. Attitudinal barriers to participation in oncology clinical trials: factor analysis and correlates of barriers. Eur J Cancer Care (Engl). 2015;24(1):28-38.
26. Unger JM, Gralow JR, Albain KS, Ramsey SD, Hershman DL. Patient income level and cancer clinical trial participation: a prospective survey study. JAMA Oncol. 2016;2(1):137-139.
27. Moy B. Clinical trials, disparities, and financial burden: it’s time to intervene. Oncologist. 2015;20(6):571.
28. Bonevski B, Randell M, Paul C, et al. Reaching the hard-to-reach: a systematic review of strategies for improving health and medical research with socially disadvantaged groups. BMC Med Res Methodol. 2014;14:42.
29. Gross CP, Filardo G, Mayne ST, Krumholz HM. The impact of socioeconomic status and race on trial participation for older women with breast cancer. Cancer. 2005;103(3):483-491.
30. Nickell A, Burke NJ, Cohen E, Caprio M, Joseph G. Educating low-SES and LEP survivors about breast cancer research: pilot test of the Health Research Engagement Intervention. J Cancer Educ. 2014;29(4):746-752.
31. Mancini J, Jansen J, Julian-Reynier C, Bechlian D, Vey N, Chabannon C. Preferences of older adults with cancer for involvement in decision-making about research participation. J Am Geriatr Soc. 2014;62(6):1191-1193.
The low rate of participation in clinical trials is partly owing to the lack of awareness of these trials not only among potential participants but the US population as a whole.1 This lack of awareness, however, can be reversed. For example, findings from a single-institution observational study showed that systematically sending letters about clinical trial participation to all new lung cancer patients was associated with increased trial participation.2 More recently, a large, multicenter, randomized experiment showed that attitudes toward clinical trials were improved through preparatory education about clinical trials before a patient’s first oncologic visit.3
Such clinical trial education can be used before any medical diagnosis to increase clinical trial awareness in the general population. It may be advantageous to do so because people tend to process information more effectively during less stressful times.4 Clinical trial awareness in the US population has increased slightly over time, but in 2012, one study reported that 26% of its participants lacked general awareness about clinical trials.5
Comprehensive educational material, such as a multimedia psychoeducational intervention,6 a 28-video library,3 or a 160-page book,7 which have been proposed for oncology patients, may be too intensive for someone who is not immediately deciding whether to participate in a clinical trial. However, a simple, concise form of education might be preferable and appropriate to increase basic knowledge and awareness among the general population, especially among those who are less educated.8
Our aim in the present study was to evaluate whether providing brief educational material about clinical trials would increase patient willingness to participate in these trials.
Methods
This is a single-group, cross-sectional design study in which all participants were administered the questions and the 240-word educational statement in the same order.
Sample
An electronic survey was conducted by Marketing and Planning Systems (the analytics practice of Kantar Millwardbrown) on behalf of the Memorial Sloan Kettering Cancer Center (MSK). The survey included a national sample of 1011 participants and a local sample of 500 participants from the MSK catchment area (22 counties across the 5 boroughs of New York City, Long Island, southern New York State, northern New Jersey, and southwestern Connecticut).
Survey participants were aged 18 to 69 years in the national sample and 25 to 69 years in the local sample, representing 87% and 75% of the adult populations of those areas, respectively. Respondents who were or who had a family member currently working in the fields of news, advertising/marketing, or medical care were not surveyed. Participants were sourced from an online incentivized panel with millions of potential respondents representative of the US adult population.
Questionnaire
The questionnaire collected data on participant demographics and main medical history (including previous participation in a clinical trial), and asked questions about clinical trials, focusing on:
Analyses
Descriptive and bivariate statistical analyses of participants’ characteristics were weighted to ensure national representativeness for gender, age, ethnicity, and income. Mean standard deviation (SD) was computed for every quantitative variable. Categorical variables were expressed as proportions.
Student t tests and analyses of variance (ANOVAs) were used to compare continuous variables, while chi-square tests were used to compare categorical data. Repeated measures ANOVAs were then used to determine the sociodemographic and medical characteristics associated with the impression of and willingness to enroll in a clinical trial before and after reading the educational material. The interaction between education level and time (pre- or postreading assessment) was tested to determine if the changes after reading the brief statement were different depending on education level.
All statistical analyses were 2-tailed and considered statistically significant at P < .05. Analyses were performed using SPSS PAWS Statistics 24 (IBM Inc, Armonk, New York). Effect sizes (standardized mean differences) and their 95% confidence intervals (CIs) were computed using the compute.es package for R 3.3 (R Foundation for Statistical Computing, Vienna, Austria).
Results
Participants
From October 23, 2015, through November 12, 2015, 1511 US participants responded to the survey request, including 1507 respondents (99.7%) who reported their education level and are included in the analyses of this report. The mean age of the respondents was 43.5 years (SD, 4.6). More than half of the respondents (57.8%) reported a current medical condition, mainly cardiovascular (20.0%), arthritis (20.0%), or other type or chronic pain (20.0%), and 9.0% reported a cancer diagnosis (current, 2.9%; previous, 6.1%).
Participants who at most had completed high school (18.9%, including 1.4% who had never even attended high school) were more often white women, lived outside urban areas, had lower household income, and were less likely to have health care insurance (Table 2). They also reported a current or previous cancer diagnosis less often than those of similar age who had attended college.
Previous participation in a clinical trial was reported by 9.6% of participants. Most of the clinical trials (75.0%) were testing a new drug. Previous trial participants were more likely to be older than those who had not participated in trials (46.1 years [SD, 14.8] vs 43.3 [SD, 4.6], repectively; P = .033), have a current health condition (86.2% vs 54.8%; P < .001), and know another trial participant (39.9% vs 9.5%; P < .001).
Education level and baseline impression of and
willingness to enroll in a clinical trial
A lower level of education was associated with a decreased likelihood of previous trial participation or of knowing a trial participant, as well as with less awareness and inaccurate perceptions of clinical trials (Table 2).
Participants with a high school degree or less were more likely to have a worse impression of and were less likely to enroll in a future hypothetical clinical trial before reading the educational material (Figure 1). Multivariable analyses confirmed that lower education level was associated with lower baseline overall impression, regardless of other personal characteristics (Table 3). Lowest household income was also associated with a more negative impression of trials, whereas participants with a current medical condition and with previous contact with clinical trials had a more positive impression of them. The same effects were observed with likeliness to enroll in a future hypothetical clinical trial (correlated with the overall impression: r, 0.63; P < .001), except that the negative effect of female gender was statistically significant (Table 3).
Posteducation impression of and willingnes to enroll
willingness to enroll in a clinical trial
The brief educational material was mostly considered believable (86.2%), easy to understand (84.8%), and included information that was new to participants (81.5%; Table 2). Participants with a high school diploma or less more often noted that the material provided them with new information, but they also reported more difficulties in fully understanding and believing the information. Overall, however, few participants found the information difficult to understand (4.6%) or hard to believe (1.8%; Table 2).
Most participants had an improved overall impression of clinical trials (standardized mean difference, 0.42; 95% CI, 0.35-0.50; P < .001) after reading the educational material. This increase was higher among participants with a lower completed level of education (Figure 1; standardized mean difference, 0.62; 95% CI, 0.45-0.79; Pinteraction < .001). The same effects were observed for likeliness to enroll in a future hypothetical clinical trial (P < .001; Figure 1).
After reading the informational statement, education level effect was no longer significantly associated with the overall impression of clinical trials (P = .23) and willingness to enroll in a clinical trial (P = .34), whereas the effects of income, current medical condition, and previous engangement with clinical trials remained statistically significant (Table 3).
Remaining challenges
Regarding hypothetical participation in a future clinical trial after a cancer diagnosis, the most critical concerns were related to side effects and the uncertainty of insurance coverage (Figure 2).10 The lack of understanding of clinical trials was the least critical concern; however, it was significantly higher among participants with a lower completed level of education. These participants also expressed more critical concerns about feeling like a “guinea pig,” inconvenient trial location, and the frequent visits needed.
Discussion
Findings from this survey demonstrated that providing brief educational material about cancer clinical trials was associated with a more favorable impression of clinical trials and higher interest in trial participation. Furthermore, as far as we can ascertain, this is the first report showing how a simple intervention such as this may help close the knowledge gap on clinical trials among people of different educational backgrounds. Although most respondents in this interventional survey noted an increased willingness to consider participation in a clinical trial after reading the educational material, those with a lower level of education and knowledge about clinical trials received the most benefit. Previous participation in a clinical trial was also strongly associated with the impression of and willingness to enroll in a trial, both before and after reading the statement.11
Most of the interventions evaluated to date12 have focused on patients who are faced with having to decide whether to participate in a clinical trial2,3 or on very specific populations, such as select ethnic communities.13,14 However, it may be beneficial to provide simple, concise educational information about clinical trials to the general population, especially to those with minimal education. Although level of education concerns the minority of our sample (19%) sourced from an online panel, in the 2015 Current Population Survey, 41% of US participants aged 25 and older had not reached college education.15 Those with a lower level of education have reported a general lack of familiarity with clinical trials and were more likely to have inaccurate perceptions about trials. This is consistent with previous studies that have shown the lack of awareness and knowledge of clinical trials in this population.5,16,17 Our findings suggest that this knowledge gap can be reversed through a simple educational intervention and result in an increased willingness to participate.
The provision of information on clinical trials was positively associated with the 2 outcomes analyzed – improved impression of clinical trials and increased likelihood to enroll in a hypothetical trial. Such improvement might not translate to improved accrual,18 but it is a step toward closing the overall knowledge gap related to clinical trials and increasing the number of people who would consider trial participation. The lack of awareness of clinical trials has been reported as a legitimate explanation for why participation rates are lower in less-educated patient populations.19,20 This brief educational intervention is a simple, technology-sparing way to increase clinical trial awareness in the general population. In a similar survey, most physicians who reviewed an educational statement noted they were likely to use it with patients.21Less-educated patients, those who lived outside of urban areas, and those with lower household incomes were most concerned about trial location and the frequent visits needed when participating in a trial (Figure 2). Living in a nonurban area was not associated with participant impression of clinical trials or willingness to enroll in a trial. However, rural residency may be a barrier to enrollment depending on distance to the hospital22 and out-of-pocket expenses related to travel.23 Some comprehensive cancer centers, such as MSK, have developed alliances with community centers24 as a means of overcoming geographical barriers and increasing clinical trial participation rates.
Another concern shared by most respondents was the uncertainty in insurance coverage and potential out-of-pocket costs related to care. Lower household income, unlike location of residence and lack of insurance, was significantly associated with negative impressions of clinical trials and lower willingness to enroll in a trial, even after adjusting for education level. Cancer patients with higher financial burden have reported more attitudinal barriers, even after accounting for the negative effect of lower education level.25 Recent studies have also discussed the negative impact of lower income on cancer clinical trial participation,19,20,26,27 and new attention has been paid to the negative financial implications or “financial toxicity” of participating in a trial.23,28
White and older survey participants showed similar interest in clinical trial participation after accounting for other characteristics. There is growing evidence that outcome differences attributed to race may in fact be more dependent on socioeconomic status.8 A recent study among breast cancer patients showed that low socioeconomic status, but not race, was associated with decreased participation in clinical trials.29,30 Previous findings have also indicated that interest in clinical trials and barriers to enrollment among older, less-educated patients31 are often related to ineligibility, comorbidity, or communication difficulties.
Among our participants, the fear of side effects also was a common attitudinal barrier to clinical trial participation, as has been reported in previous studies.3,20 However, contrary to one previous study,20 this fear was not significantly increased among our less-educated participants.
Less-educated participants also reported more difficulties in understanding the information they were provided with, and they remained more concerned about being treated like “guinea pigs.” These concerns are consistent with other results showing that decisional conflict about clinical trial participation among patients with a high school diploma or less remained high even after they had received a National Cancer Institute text as pre-education material.3
Limitations
The lack of randomization makes it difficult to attribute with certainty that the change in acceptability of clinical trial participation is owing to the reading of the educational statement. The survey also sampled only English-speaking and well-educated participants from an online panel (81.1% had at least attended college) despite the use of a weighting procedure to ensure representativeness regarding gender, age, ethnicity, and income. Health literacy level or more specific trial literacy level was not evaluated; however, we were able to show less accurate perceptions of clinical trials among participants with a lower level of education by using agreement toward 8 statements about trials. The responses to hypothetical questions from these participants in the general population may also not be generalizable to a restricted population of patients with cancer. In addition, we measured impression of and willingness to enroll in a clinical trial immediately after providing participants with the educational material. We would have to confirm whether the positive effects of the education persist over time and translate to higher clinical trial participation rates.
Conclusions
Participants were receptive of educational material and expressed greater interest in and likelihood of enrolling in a clinical trial after reading it. The information had a greater effect on those with less education, but increased the willingness of all participants to enroll.
The low rate of participation in clinical trials is partly owing to the lack of awareness of these trials not only among potential participants but the US population as a whole.1 This lack of awareness, however, can be reversed. For example, findings from a single-institution observational study showed that systematically sending letters about clinical trial participation to all new lung cancer patients was associated with increased trial participation.2 More recently, a large, multicenter, randomized experiment showed that attitudes toward clinical trials were improved through preparatory education about clinical trials before a patient’s first oncologic visit.3
Such clinical trial education can be used before any medical diagnosis to increase clinical trial awareness in the general population. It may be advantageous to do so because people tend to process information more effectively during less stressful times.4 Clinical trial awareness in the US population has increased slightly over time, but in 2012, one study reported that 26% of its participants lacked general awareness about clinical trials.5
Comprehensive educational material, such as a multimedia psychoeducational intervention,6 a 28-video library,3 or a 160-page book,7 which have been proposed for oncology patients, may be too intensive for someone who is not immediately deciding whether to participate in a clinical trial. However, a simple, concise form of education might be preferable and appropriate to increase basic knowledge and awareness among the general population, especially among those who are less educated.8
Our aim in the present study was to evaluate whether providing brief educational material about clinical trials would increase patient willingness to participate in these trials.
Methods
This is a single-group, cross-sectional design study in which all participants were administered the questions and the 240-word educational statement in the same order.
Sample
An electronic survey was conducted by Marketing and Planning Systems (the analytics practice of Kantar Millwardbrown) on behalf of the Memorial Sloan Kettering Cancer Center (MSK). The survey included a national sample of 1011 participants and a local sample of 500 participants from the MSK catchment area (22 counties across the 5 boroughs of New York City, Long Island, southern New York State, northern New Jersey, and southwestern Connecticut).
Survey participants were aged 18 to 69 years in the national sample and 25 to 69 years in the local sample, representing 87% and 75% of the adult populations of those areas, respectively. Respondents who were or who had a family member currently working in the fields of news, advertising/marketing, or medical care were not surveyed. Participants were sourced from an online incentivized panel with millions of potential respondents representative of the US adult population.
Questionnaire
The questionnaire collected data on participant demographics and main medical history (including previous participation in a clinical trial), and asked questions about clinical trials, focusing on:
Analyses
Descriptive and bivariate statistical analyses of participants’ characteristics were weighted to ensure national representativeness for gender, age, ethnicity, and income. Mean standard deviation (SD) was computed for every quantitative variable. Categorical variables were expressed as proportions.
Student t tests and analyses of variance (ANOVAs) were used to compare continuous variables, while chi-square tests were used to compare categorical data. Repeated measures ANOVAs were then used to determine the sociodemographic and medical characteristics associated with the impression of and willingness to enroll in a clinical trial before and after reading the educational material. The interaction between education level and time (pre- or postreading assessment) was tested to determine if the changes after reading the brief statement were different depending on education level.
All statistical analyses were 2-tailed and considered statistically significant at P < .05. Analyses were performed using SPSS PAWS Statistics 24 (IBM Inc, Armonk, New York). Effect sizes (standardized mean differences) and their 95% confidence intervals (CIs) were computed using the compute.es package for R 3.3 (R Foundation for Statistical Computing, Vienna, Austria).
Results
Participants
From October 23, 2015, through November 12, 2015, 1511 US participants responded to the survey request, including 1507 respondents (99.7%) who reported their education level and are included in the analyses of this report. The mean age of the respondents was 43.5 years (SD, 4.6). More than half of the respondents (57.8%) reported a current medical condition, mainly cardiovascular (20.0%), arthritis (20.0%), or other type or chronic pain (20.0%), and 9.0% reported a cancer diagnosis (current, 2.9%; previous, 6.1%).
Participants who at most had completed high school (18.9%, including 1.4% who had never even attended high school) were more often white women, lived outside urban areas, had lower household income, and were less likely to have health care insurance (Table 2). They also reported a current or previous cancer diagnosis less often than those of similar age who had attended college.
Previous participation in a clinical trial was reported by 9.6% of participants. Most of the clinical trials (75.0%) were testing a new drug. Previous trial participants were more likely to be older than those who had not participated in trials (46.1 years [SD, 14.8] vs 43.3 [SD, 4.6], repectively; P = .033), have a current health condition (86.2% vs 54.8%; P < .001), and know another trial participant (39.9% vs 9.5%; P < .001).
Education level and baseline impression of and
willingness to enroll in a clinical trial
A lower level of education was associated with a decreased likelihood of previous trial participation or of knowing a trial participant, as well as with less awareness and inaccurate perceptions of clinical trials (Table 2).
Participants with a high school degree or less were more likely to have a worse impression of and were less likely to enroll in a future hypothetical clinical trial before reading the educational material (Figure 1). Multivariable analyses confirmed that lower education level was associated with lower baseline overall impression, regardless of other personal characteristics (Table 3). Lowest household income was also associated with a more negative impression of trials, whereas participants with a current medical condition and with previous contact with clinical trials had a more positive impression of them. The same effects were observed with likeliness to enroll in a future hypothetical clinical trial (correlated with the overall impression: r, 0.63; P < .001), except that the negative effect of female gender was statistically significant (Table 3).
Posteducation impression of and willingnes to enroll
willingness to enroll in a clinical trial
The brief educational material was mostly considered believable (86.2%), easy to understand (84.8%), and included information that was new to participants (81.5%; Table 2). Participants with a high school diploma or less more often noted that the material provided them with new information, but they also reported more difficulties in fully understanding and believing the information. Overall, however, few participants found the information difficult to understand (4.6%) or hard to believe (1.8%; Table 2).
Most participants had an improved overall impression of clinical trials (standardized mean difference, 0.42; 95% CI, 0.35-0.50; P < .001) after reading the educational material. This increase was higher among participants with a lower completed level of education (Figure 1; standardized mean difference, 0.62; 95% CI, 0.45-0.79; Pinteraction < .001). The same effects were observed for likeliness to enroll in a future hypothetical clinical trial (P < .001; Figure 1).
After reading the informational statement, education level effect was no longer significantly associated with the overall impression of clinical trials (P = .23) and willingness to enroll in a clinical trial (P = .34), whereas the effects of income, current medical condition, and previous engangement with clinical trials remained statistically significant (Table 3).
Remaining challenges
Regarding hypothetical participation in a future clinical trial after a cancer diagnosis, the most critical concerns were related to side effects and the uncertainty of insurance coverage (Figure 2).10 The lack of understanding of clinical trials was the least critical concern; however, it was significantly higher among participants with a lower completed level of education. These participants also expressed more critical concerns about feeling like a “guinea pig,” inconvenient trial location, and the frequent visits needed.
Discussion
Findings from this survey demonstrated that providing brief educational material about cancer clinical trials was associated with a more favorable impression of clinical trials and higher interest in trial participation. Furthermore, as far as we can ascertain, this is the first report showing how a simple intervention such as this may help close the knowledge gap on clinical trials among people of different educational backgrounds. Although most respondents in this interventional survey noted an increased willingness to consider participation in a clinical trial after reading the educational material, those with a lower level of education and knowledge about clinical trials received the most benefit. Previous participation in a clinical trial was also strongly associated with the impression of and willingness to enroll in a trial, both before and after reading the statement.11
Most of the interventions evaluated to date12 have focused on patients who are faced with having to decide whether to participate in a clinical trial2,3 or on very specific populations, such as select ethnic communities.13,14 However, it may be beneficial to provide simple, concise educational information about clinical trials to the general population, especially to those with minimal education. Although level of education concerns the minority of our sample (19%) sourced from an online panel, in the 2015 Current Population Survey, 41% of US participants aged 25 and older had not reached college education.15 Those with a lower level of education have reported a general lack of familiarity with clinical trials and were more likely to have inaccurate perceptions about trials. This is consistent with previous studies that have shown the lack of awareness and knowledge of clinical trials in this population.5,16,17 Our findings suggest that this knowledge gap can be reversed through a simple educational intervention and result in an increased willingness to participate.
The provision of information on clinical trials was positively associated with the 2 outcomes analyzed – improved impression of clinical trials and increased likelihood to enroll in a hypothetical trial. Such improvement might not translate to improved accrual,18 but it is a step toward closing the overall knowledge gap related to clinical trials and increasing the number of people who would consider trial participation. The lack of awareness of clinical trials has been reported as a legitimate explanation for why participation rates are lower in less-educated patient populations.19,20 This brief educational intervention is a simple, technology-sparing way to increase clinical trial awareness in the general population. In a similar survey, most physicians who reviewed an educational statement noted they were likely to use it with patients.21Less-educated patients, those who lived outside of urban areas, and those with lower household incomes were most concerned about trial location and the frequent visits needed when participating in a trial (Figure 2). Living in a nonurban area was not associated with participant impression of clinical trials or willingness to enroll in a trial. However, rural residency may be a barrier to enrollment depending on distance to the hospital22 and out-of-pocket expenses related to travel.23 Some comprehensive cancer centers, such as MSK, have developed alliances with community centers24 as a means of overcoming geographical barriers and increasing clinical trial participation rates.
Another concern shared by most respondents was the uncertainty in insurance coverage and potential out-of-pocket costs related to care. Lower household income, unlike location of residence and lack of insurance, was significantly associated with negative impressions of clinical trials and lower willingness to enroll in a trial, even after adjusting for education level. Cancer patients with higher financial burden have reported more attitudinal barriers, even after accounting for the negative effect of lower education level.25 Recent studies have also discussed the negative impact of lower income on cancer clinical trial participation,19,20,26,27 and new attention has been paid to the negative financial implications or “financial toxicity” of participating in a trial.23,28
White and older survey participants showed similar interest in clinical trial participation after accounting for other characteristics. There is growing evidence that outcome differences attributed to race may in fact be more dependent on socioeconomic status.8 A recent study among breast cancer patients showed that low socioeconomic status, but not race, was associated with decreased participation in clinical trials.29,30 Previous findings have also indicated that interest in clinical trials and barriers to enrollment among older, less-educated patients31 are often related to ineligibility, comorbidity, or communication difficulties.
Among our participants, the fear of side effects also was a common attitudinal barrier to clinical trial participation, as has been reported in previous studies.3,20 However, contrary to one previous study,20 this fear was not significantly increased among our less-educated participants.
Less-educated participants also reported more difficulties in understanding the information they were provided with, and they remained more concerned about being treated like “guinea pigs.” These concerns are consistent with other results showing that decisional conflict about clinical trial participation among patients with a high school diploma or less remained high even after they had received a National Cancer Institute text as pre-education material.3
Limitations
The lack of randomization makes it difficult to attribute with certainty that the change in acceptability of clinical trial participation is owing to the reading of the educational statement. The survey also sampled only English-speaking and well-educated participants from an online panel (81.1% had at least attended college) despite the use of a weighting procedure to ensure representativeness regarding gender, age, ethnicity, and income. Health literacy level or more specific trial literacy level was not evaluated; however, we were able to show less accurate perceptions of clinical trials among participants with a lower level of education by using agreement toward 8 statements about trials. The responses to hypothetical questions from these participants in the general population may also not be generalizable to a restricted population of patients with cancer. In addition, we measured impression of and willingness to enroll in a clinical trial immediately after providing participants with the educational material. We would have to confirm whether the positive effects of the education persist over time and translate to higher clinical trial participation rates.
Conclusions
Participants were receptive of educational material and expressed greater interest in and likelihood of enrolling in a clinical trial after reading it. The information had a greater effect on those with less education, but increased the willingness of all participants to enroll.
1. Ford JG, Howerton MW, Lai GY, et al. Barriers to recruiting underrepresented populations to cancer clinical trials: a systematic review. Cancer. 2008;112(2):228-242.
2. Quinn GP, Bell BA, Bell MY, et al. The guinea pig syndrome: improving clinical trial participation among thoracic patients. J Thorac Oncol. 2007;2(3):191-196.
3. Meropol NJ, Wong Y-N, Albrecht T, et al. Randomized trial of a web-based intervention to address barriers to clinical trials. J Clin Oncol. 2016;34(5):469-478.
4. Goldberg RJ. Disclosure of information to adult cancer patients: issues and update. J Clin Oncol. 1984;2(8):948-955.
5. Leiter A, Diefenbach MA, Doucette J, Oh WK, Galsky MD. Clinical trial awareness: changes over time and sociodemographic disparities. Clin Trials. 2015;12(3):215-223.
6. Jacobsen PB, Wells KJ, Meade CD, et al. Effects of a brief multimedia psychoeducational intervention on the attitudes and interest of patients with cancer regarding clinical trial participation: a multicenter randomized controlled trial. J Clin Oncol. 2012;30(20):2516-2521.
7. Carney PA, Tucker EK, Newby TA, Beer TM. Feasibility, acceptability and findings from a pilot randomized controlled intervention study on the impact of a book designed to inform patients about cancer clinical trials. J Cancer Educ. 2014;29(1):181-187.
8. Sharrocks K, Spicer J, Camidge DR, Papa S. The impact of socioeconomic status on access to cancer clinical trials. Br J Cancer. 2014;111(9):1684-1687.
9. Regan J, Hickey C, Targett C, Masuda S, Sabbatini P. Framing clinical research and the importance of trial participation: patient and physician perspective. Poster presented at: 8th Annual AACI Clinical Research Initiative Meeting; July 20-21 2016; Chicago, IL.
10. Mancini J, Genre D, Dalenc F, et al. Patients’ regrets after participating in a randomized controlled trials depended on their involvement in the decision making. J Clin Epidemiol. 2012;65(6):635-642
11. Murphy ST, Frank LB, Chatterjee JS, et al. Comparing the relative efficacy of narrative vs nonnarrative health messages in reducing health disparities using a randomized trial. Am J Public Health. 2015;105(10):2117-2123.
12. Treweek S, Lockhart P, Pitkethly M, et al. Methods to improve recruitment to randomised controlled trials: Cochrane systematic review and meta-analysis. BMJ Open. 2013;3(2):e002360. doi:10.1136/bmjopen-2012-002360.
13. Ma GX, Tan Y, Blakeney NC, et al. The impact of a community-based clinical trial educational intervention among underrepresented Chinese Americans. Cancer Epidemiol Biomarkers Prev. 2014;23(3):424-432.
14. Cupertino AP, Molina CSP, de los Rios JB, et al. Knowledge, awareness, and interest in cancer clinical trials among rural latinos following brief education by promotores de salud. J Community Med Health Educ. 2015;5:2161. doi:10.4172/2161-0711.1000358
15. Ryan CL, Bauman K. Educational attainment in the United States: 2015. https://www.census.gov/content/dam/Census/library/publications/2016/demo/p20-578.pdf. Published March 2016. Accessed October 18, 2016.
16. Lara PN Jr, Paterniti DA, Chiechi C, et al. Evaluation of factors affecting awareness of and willingness to participate in cancer clinical trials. J Clin Oncol. 2005;23(36):9282-9289.
17. Dhai A, Etheredge H, Cleaton-Jones P. A pilot study evaluating an intervention designed to raise awareness of clinical trials among potential participants in the developing world. J Med Ethics. 2010;36(4):238-242.
18. Denicoff AM, McCaskill-Stevens W, Grubbs SS, et al. The National Cancer Institute–American Society of Clinical Oncology Cancer Trial Accrual Symposium: summary and recommendations. J Oncol Pract. 2013;9(6):267-276.
19. Davison BJ, So A, Goldenberg SL, Berkowitz J, Gleave ME. Measurement of factors influencing the participation of patients with prostate cancer in clinical trials: a Canadian perspective. BJU Int. 2008;101(8):982-987.
20. Unger JM, Hershman DL, Albain KS, et al. Patient income level and cancer clinical trial participation. J Clin Oncol. 2013;31(5):536-542.
21. IRB Advisor. Education may overcome reticence to join trials. Relias website. http://www.ahcmedia.com/articles/138088-education-may-overcome-reticence-to-join-trials. Published July 1, 2016. Accessed July 29, 2016.
22. Vanderpool RC, Kornfeld J, Mills L, Byrne MM. Rural-urban differences in discussions of cancer treatment clinical trials. Patient Educ Couns. 2011;85(2):e69-e74.
23. Meropol NJ. Health policy: overcoming cost barriers to clinical trial participation. Nat Rev Clin Oncol. 2016;13(6):333-334.
24. MSK Cancer Alliance. Memorial Sloan Kettering Cancer Center website. https://www.mskcc.org/about/innovative-collaborations/msk-alliance. Updated March 7, 2018. Accessed August 18, 2016.
25. Manne S, Kashy D, Albrecht T, et al. Attitudinal barriers to participation in oncology clinical trials: factor analysis and correlates of barriers. Eur J Cancer Care (Engl). 2015;24(1):28-38.
26. Unger JM, Gralow JR, Albain KS, Ramsey SD, Hershman DL. Patient income level and cancer clinical trial participation: a prospective survey study. JAMA Oncol. 2016;2(1):137-139.
27. Moy B. Clinical trials, disparities, and financial burden: it’s time to intervene. Oncologist. 2015;20(6):571.
28. Bonevski B, Randell M, Paul C, et al. Reaching the hard-to-reach: a systematic review of strategies for improving health and medical research with socially disadvantaged groups. BMC Med Res Methodol. 2014;14:42.
29. Gross CP, Filardo G, Mayne ST, Krumholz HM. The impact of socioeconomic status and race on trial participation for older women with breast cancer. Cancer. 2005;103(3):483-491.
30. Nickell A, Burke NJ, Cohen E, Caprio M, Joseph G. Educating low-SES and LEP survivors about breast cancer research: pilot test of the Health Research Engagement Intervention. J Cancer Educ. 2014;29(4):746-752.
31. Mancini J, Jansen J, Julian-Reynier C, Bechlian D, Vey N, Chabannon C. Preferences of older adults with cancer for involvement in decision-making about research participation. J Am Geriatr Soc. 2014;62(6):1191-1193.
1. Ford JG, Howerton MW, Lai GY, et al. Barriers to recruiting underrepresented populations to cancer clinical trials: a systematic review. Cancer. 2008;112(2):228-242.
2. Quinn GP, Bell BA, Bell MY, et al. The guinea pig syndrome: improving clinical trial participation among thoracic patients. J Thorac Oncol. 2007;2(3):191-196.
3. Meropol NJ, Wong Y-N, Albrecht T, et al. Randomized trial of a web-based intervention to address barriers to clinical trials. J Clin Oncol. 2016;34(5):469-478.
4. Goldberg RJ. Disclosure of information to adult cancer patients: issues and update. J Clin Oncol. 1984;2(8):948-955.
5. Leiter A, Diefenbach MA, Doucette J, Oh WK, Galsky MD. Clinical trial awareness: changes over time and sociodemographic disparities. Clin Trials. 2015;12(3):215-223.
6. Jacobsen PB, Wells KJ, Meade CD, et al. Effects of a brief multimedia psychoeducational intervention on the attitudes and interest of patients with cancer regarding clinical trial participation: a multicenter randomized controlled trial. J Clin Oncol. 2012;30(20):2516-2521.
7. Carney PA, Tucker EK, Newby TA, Beer TM. Feasibility, acceptability and findings from a pilot randomized controlled intervention study on the impact of a book designed to inform patients about cancer clinical trials. J Cancer Educ. 2014;29(1):181-187.
8. Sharrocks K, Spicer J, Camidge DR, Papa S. The impact of socioeconomic status on access to cancer clinical trials. Br J Cancer. 2014;111(9):1684-1687.
9. Regan J, Hickey C, Targett C, Masuda S, Sabbatini P. Framing clinical research and the importance of trial participation: patient and physician perspective. Poster presented at: 8th Annual AACI Clinical Research Initiative Meeting; July 20-21 2016; Chicago, IL.
10. Mancini J, Genre D, Dalenc F, et al. Patients’ regrets after participating in a randomized controlled trials depended on their involvement in the decision making. J Clin Epidemiol. 2012;65(6):635-642
11. Murphy ST, Frank LB, Chatterjee JS, et al. Comparing the relative efficacy of narrative vs nonnarrative health messages in reducing health disparities using a randomized trial. Am J Public Health. 2015;105(10):2117-2123.
12. Treweek S, Lockhart P, Pitkethly M, et al. Methods to improve recruitment to randomised controlled trials: Cochrane systematic review and meta-analysis. BMJ Open. 2013;3(2):e002360. doi:10.1136/bmjopen-2012-002360.
13. Ma GX, Tan Y, Blakeney NC, et al. The impact of a community-based clinical trial educational intervention among underrepresented Chinese Americans. Cancer Epidemiol Biomarkers Prev. 2014;23(3):424-432.
14. Cupertino AP, Molina CSP, de los Rios JB, et al. Knowledge, awareness, and interest in cancer clinical trials among rural latinos following brief education by promotores de salud. J Community Med Health Educ. 2015;5:2161. doi:10.4172/2161-0711.1000358
15. Ryan CL, Bauman K. Educational attainment in the United States: 2015. https://www.census.gov/content/dam/Census/library/publications/2016/demo/p20-578.pdf. Published March 2016. Accessed October 18, 2016.
16. Lara PN Jr, Paterniti DA, Chiechi C, et al. Evaluation of factors affecting awareness of and willingness to participate in cancer clinical trials. J Clin Oncol. 2005;23(36):9282-9289.
17. Dhai A, Etheredge H, Cleaton-Jones P. A pilot study evaluating an intervention designed to raise awareness of clinical trials among potential participants in the developing world. J Med Ethics. 2010;36(4):238-242.
18. Denicoff AM, McCaskill-Stevens W, Grubbs SS, et al. The National Cancer Institute–American Society of Clinical Oncology Cancer Trial Accrual Symposium: summary and recommendations. J Oncol Pract. 2013;9(6):267-276.
19. Davison BJ, So A, Goldenberg SL, Berkowitz J, Gleave ME. Measurement of factors influencing the participation of patients with prostate cancer in clinical trials: a Canadian perspective. BJU Int. 2008;101(8):982-987.
20. Unger JM, Hershman DL, Albain KS, et al. Patient income level and cancer clinical trial participation. J Clin Oncol. 2013;31(5):536-542.
21. IRB Advisor. Education may overcome reticence to join trials. Relias website. http://www.ahcmedia.com/articles/138088-education-may-overcome-reticence-to-join-trials. Published July 1, 2016. Accessed July 29, 2016.
22. Vanderpool RC, Kornfeld J, Mills L, Byrne MM. Rural-urban differences in discussions of cancer treatment clinical trials. Patient Educ Couns. 2011;85(2):e69-e74.
23. Meropol NJ. Health policy: overcoming cost barriers to clinical trial participation. Nat Rev Clin Oncol. 2016;13(6):333-334.
24. MSK Cancer Alliance. Memorial Sloan Kettering Cancer Center website. https://www.mskcc.org/about/innovative-collaborations/msk-alliance. Updated March 7, 2018. Accessed August 18, 2016.
25. Manne S, Kashy D, Albrecht T, et al. Attitudinal barriers to participation in oncology clinical trials: factor analysis and correlates of barriers. Eur J Cancer Care (Engl). 2015;24(1):28-38.
26. Unger JM, Gralow JR, Albain KS, Ramsey SD, Hershman DL. Patient income level and cancer clinical trial participation: a prospective survey study. JAMA Oncol. 2016;2(1):137-139.
27. Moy B. Clinical trials, disparities, and financial burden: it’s time to intervene. Oncologist. 2015;20(6):571.
28. Bonevski B, Randell M, Paul C, et al. Reaching the hard-to-reach: a systematic review of strategies for improving health and medical research with socially disadvantaged groups. BMC Med Res Methodol. 2014;14:42.
29. Gross CP, Filardo G, Mayne ST, Krumholz HM. The impact of socioeconomic status and race on trial participation for older women with breast cancer. Cancer. 2005;103(3):483-491.
30. Nickell A, Burke NJ, Cohen E, Caprio M, Joseph G. Educating low-SES and LEP survivors about breast cancer research: pilot test of the Health Research Engagement Intervention. J Cancer Educ. 2014;29(4):746-752.
31. Mancini J, Jansen J, Julian-Reynier C, Bechlian D, Vey N, Chabannon C. Preferences of older adults with cancer for involvement in decision-making about research participation. J Am Geriatr Soc. 2014;62(6):1191-1193.