Practice Management

Last year, I concluded a commentary for this news organization on colorectal cancer (CRC) screening guidelines by stating that between stool-based tests, flexible sigmoidoscopy, and colonoscopy, “the best screening test is the test that gets done.” But should that maxim apply to the new blood-based screening test, Guardant Health Shield? This proprietary test, which costs $895 and is not generally covered by insurance, identifies alterations in cell-free DNA that are characteristic of CRC.

Shield’s test characteristics were recently evaluated in a prospective study of more than 10,000 adults aged 45-84 at average risk for CRC. The test had an 87.5% sensitivity for stage I, II, or III colorectal cancer but only a 13% sensitivity for advanced precancerous lesions. Test specificity was 89.6%, meaning that about 1 in 10 participants without CRC or advanced precancerous lesions on colonoscopy had a false-positive result.

Although the Shield blood test has a higher rate of false positives than the traditional fecal immunochemical test (FIT) and lower sensitivity and specificity than a multitarget stool DNA (FIT-DNA) test designed to improve on Cologuard, it meets the previously established criteria set forth by the Centers for Medicare & Medicaid Services (CMS) to be covered for Medicare beneficiaries at 3-year intervals, pending FDA approval. If public and private payers start covering Shield alongside other CRC screening tests, it presents an opportunity for primary care physicians to reach the approximately 3 in 10 adults between ages 45 and 75 who are not being routinely screened.

A big concern, however, is that the availability of a blood test may cause patients who would have otherwise been screened with colonoscopy or stool tests to switch to the blood test. A cost-effectiveness analysis found that offering a blood test to patients who decline screening colonoscopy saves additional lives, but at the cost of more than $377,000 per life-year gained. Another study relying on three microsimulation models previously utilized by the US Preventive Services Task Force (USPSTF) found that annual FIT results in more life-years gained at substantially lower cost than blood-based screening every 3 years “even when uptake of blood-based screening was 20 percentage points higher than uptake of FIT.” As a result, a multidisciplinary expert panel concluded that blood-based screening should not substitute for established CRC screening tests, but instead be offered only to patients who decline those tests.

In practice, this will increase the complexity of the CRC screening conversations we have with patients. We will need to be clear that the blood test is not yet endorsed by the USPSTF or any major guideline group and is a second-line test that will miss most precancerous polyps. As with the stool tests, it is essential to emphasize that a positive result must be followed by diagnostic colonoscopy. To addend the cancer screening maxim I mentioned before, the blood test is not the best test for CRC, but it’s probably better than no test at all.

Dr. Lin is a family physician and associate director, Family Medicine Residency Program, Lancaster General Hospital, Lancaster, Pennsylvania. He blogs at Common Sense Family Doctor.

A version of this article appeared on Medscape.com.

Last year, I concluded a commentary for this news organization on colorectal cancer (CRC) screening guidelines by stating that between stool-based tests, flexible sigmoidoscopy, and colonoscopy, “the best screening test is the test that gets done.” But should that maxim apply to the new blood-based screening test, Guardant Health Shield? This proprietary test, which costs $895 and is not generally covered by insurance, identifies alterations in cell-free DNA that are characteristic of CRC.

Shield’s test characteristics were recently evaluated in a prospective study of more than 10,000 adults aged 45-84 at average risk for CRC. The test had an 87.5% sensitivity for stage I, II, or III colorectal cancer but only a 13% sensitivity for advanced precancerous lesions. Test specificity was 89.6%, meaning that about 1 in 10 participants without CRC or advanced precancerous lesions on colonoscopy had a false-positive result.

Although the Shield blood test has a higher rate of false positives than the traditional fecal immunochemical test (FIT) and lower sensitivity and specificity than a multitarget stool DNA (FIT-DNA) test designed to improve on Cologuard, it meets the previously established criteria set forth by the Centers for Medicare & Medicaid Services (CMS) to be covered for Medicare beneficiaries at 3-year intervals, pending FDA approval. If public and private payers start covering Shield alongside other CRC screening tests, it presents an opportunity for primary care physicians to reach the approximately 3 in 10 adults between ages 45 and 75 who are not being routinely screened.

A big concern, however, is that the availability of a blood test may cause patients who would have otherwise been screened with colonoscopy or stool tests to switch to the blood test. A cost-effectiveness analysis found that offering a blood test to patients who decline screening colonoscopy saves additional lives, but at the cost of more than $377,000 per life-year gained. Another study relying on three microsimulation models previously utilized by the US Preventive Services Task Force (USPSTF) found that annual FIT results in more life-years gained at substantially lower cost than blood-based screening every 3 years “even when uptake of blood-based screening was 20 percentage points higher than uptake of FIT.” As a result, a multidisciplinary expert panel concluded that blood-based screening should not substitute for established CRC screening tests, but instead be offered only to patients who decline those tests.

In practice, this will increase the complexity of the CRC screening conversations we have with patients. We will need to be clear that the blood test is not yet endorsed by the USPSTF or any major guideline group and is a second-line test that will miss most precancerous polyps. As with the stool tests, it is essential to emphasize that a positive result must be followed by diagnostic colonoscopy. To addend the cancer screening maxim I mentioned before, the blood test is not the best test for CRC, but it’s probably better than no test at all.

Dr. Lin is a family physician and associate director, Family Medicine Residency Program, Lancaster General Hospital, Lancaster, Pennsylvania. He blogs at Common Sense Family Doctor.

A version of this article appeared on Medscape.com.

Last year, I concluded a commentary for this news organization on colorectal cancer (CRC) screening guidelines by stating that between stool-based tests, flexible sigmoidoscopy, and colonoscopy, “the best screening test is the test that gets done.” But should that maxim apply to the new blood-based screening test, Guardant Health Shield? This proprietary test, which costs $895 and is not generally covered by insurance, identifies alterations in cell-free DNA that are characteristic of CRC.

Shield’s test characteristics were recently evaluated in a prospective study of more than 10,000 adults aged 45-84 at average risk for CRC. The test had an 87.5% sensitivity for stage I, II, or III colorectal cancer but only a 13% sensitivity for advanced precancerous lesions. Test specificity was 89.6%, meaning that about 1 in 10 participants without CRC or advanced precancerous lesions on colonoscopy had a false-positive result.

Although the Shield blood test has a higher rate of false positives than the traditional fecal immunochemical test (FIT) and lower sensitivity and specificity than a multitarget stool DNA (FIT-DNA) test designed to improve on Cologuard, it meets the previously established criteria set forth by the Centers for Medicare & Medicaid Services (CMS) to be covered for Medicare beneficiaries at 3-year intervals, pending FDA approval. If public and private payers start covering Shield alongside other CRC screening tests, it presents an opportunity for primary care physicians to reach the approximately 3 in 10 adults between ages 45 and 75 who are not being routinely screened.

A big concern, however, is that the availability of a blood test may cause patients who would have otherwise been screened with colonoscopy or stool tests to switch to the blood test. A cost-effectiveness analysis found that offering a blood test to patients who decline screening colonoscopy saves additional lives, but at the cost of more than $377,000 per life-year gained. Another study relying on three microsimulation models previously utilized by the US Preventive Services Task Force (USPSTF) found that annual FIT results in more life-years gained at substantially lower cost than blood-based screening every 3 years “even when uptake of blood-based screening was 20 percentage points higher than uptake of FIT.” As a result, a multidisciplinary expert panel concluded that blood-based screening should not substitute for established CRC screening tests, but instead be offered only to patients who decline those tests.

In practice, this will increase the complexity of the CRC screening conversations we have with patients. We will need to be clear that the blood test is not yet endorsed by the USPSTF or any major guideline group and is a second-line test that will miss most precancerous polyps. As with the stool tests, it is essential to emphasize that a positive result must be followed by diagnostic colonoscopy. To addend the cancer screening maxim I mentioned before, the blood test is not the best test for CRC, but it’s probably better than no test at all.

Dr. Lin is a family physician and associate director, Family Medicine Residency Program, Lancaster General Hospital, Lancaster, Pennsylvania. He blogs at Common Sense Family Doctor.

A version of this article appeared on Medscape.com.

Picture a healthcare system where physicians aren’t bogged down by excessive charting but are instead fully present with their patients, offering undivided attention and personalized care. In a recent X post, Stuart Blitz, COO and co-founder of Hone Health, sparked a thought-provoking conversation. “The problem with US healthcare is physicians are burned out since they spend way too much time charting, not enough with patients,” he wrote. “If you created a health system that did zero charting, you’d attract the best physicians and all patients would go there. Who is working on this?” 

This resonates with many in the medical community, myself included, because the strain of extensive documentation detracts from patient care. Having worked in both large and small healthcare systems, I know the burden of extensive charting is a palpable challenge, often detracting from the time we can devote to our patients.

The first part of this two-part series examines the overarching benefits of artificial intelligence (AI)–based clinical documentation in modern healthcare, a field witnessing a paradigm shift thanks to advancements in AI.
 

Transformative Evolution of Clinical Documentation

The transition from manual documentation to AI-driven solutions marks a significant shift in the field, with a number of products in development including Nuance, Abridge, Ambience, ScribeAmerica, 3M, and DeepScribe. These tools use ambient clinical intelligence (ACI) to automate documentation, capturing patient conversations and translating them into structured clinical summaries. This innovation aligns with the vision of reducing charting burdens and enhancing patient-physician interactions.

How does it work? ACI refers to a sophisticated form of AI applied in healthcare settings, particularly focusing on enhancing the clinical documentation process without disrupting the natural flow of the consultation. Here’s a technical yet practical breakdown of ACI and the algorithms it typically employs:

Data capture and processing: ACI systems employ various sensors and processing units, typically integrated into clinical settings. These sensors, like microphones and cameras, gather diverse data such as audio from patient-doctor dialogues and visual cues. This information is then processed in real-time or near–real-time.

Natural language processing (NLP): A core component of ACI is advanced NLP algorithms. These algorithms analyze the captured audio data, transcribing spoken words into text. NLP goes beyond mere transcription; it involves understanding context, extracting relevant medical information (like symptoms, diagnoses, and treatment plans), and interpreting the nuances of human language.

Deep learning: Machine learning, particularly deep-learning techniques, are employed to improve the accuracy of ACI systems continually. These algorithms can learn from vast datasets of clinical interactions, enhancing their ability to transcribe and interpret future conversations accurately. As they learn, they become better at understanding different accents, complex medical terms, and variations in speech patterns.

Integration with electronic health records (EHRs): ACI systems are often designed to integrate seamlessly with existing EHR systems. They can automatically populate patient records with information from patient-clinician interactions, reducing manual entry and potential errors.

Customization and personalization: Many ACI systems offer customizable templates or allow clinicians to tailor documentation workflows. This flexibility ensures that the output aligns with the specific needs and preferences of healthcare providers.

Ethical and privacy considerations: ACI systems must navigate significant ethical and privacy concerns, especially related to patient consent and data security. These systems need to comply with healthcare privacy regulations such as HIPAA. They need to securely manage sensitive patient data and restrict access to authorized personnel only.
 

Broad-Spectrum Benefits of AI in Documentation

• Reducing clinician burnout: By automating the documentation process, AI tools like DAX Copilot alleviate a significant contributor to physician burnout, enabling clinicians to focus more on patient care.
• Enhanced patient care: With AI handling documentation, clinicians can engage more with their patients, leading to improved care quality and patient satisfaction.
• Data accuracy and quality: AI-driven documentation captures detailed patient encounters accurately, ensuring high-quality and comprehensive medical records.
• Response to the growing need for efficient healthcare: AI-based documentation is a direct response to the growing call for more efficient healthcare practices, where clinicians spend less time on paperwork and more with patients.

The shift toward AI-based clinical documentation represents a critical step in addressing the inefficiencies in healthcare systems. It’s a move towards a more patient-centered approach, where clinicians can focus more on patient care by reducing the time spent on excessive charting. Hopefully, we can integrate these solutions into our clinics at a large enough scale to make such an impact.

In the next column, we will explore in-depth insights from Kenneth Harper at Nuance on the technical implementation of these tools, with DAX as an example.

I would love to read your comments on AI in clinical trials as well as other AI-related topics. Write me at Arturo.ai.medtech@gmail.com or find me on X @DrBonillaOnc.

Dr. Loaiza-Bonilla is the co-founder and chief medical officer at Massive Bio, a company connecting patients to clinical trials using artificial intelligence. His research and professional interests focus on precision medicine, clinical trial design, digital health, entrepreneurship, and patient advocacy. Dr Loaiza-Bonilla serves as medical director of oncology research at Capital Health in New Jersey, where he maintains a connection to patient care by attending to patients 2 days a week. He has served as a consultant for Verify, PSI CRO, Bayer, AstraZeneca, Cardinal Health, BrightInsight, The Lynx Group, Fresenius, Pfizer, Ipsen, and Guardant; served as a speaker or a member of a speakers bureau for Amgen, Guardant, Eisai, Ipsen, Natera, Merck, Bristol-Myers Squibb, and AstraZeneca. He holds a 5% or greater equity interest in Massive Bio.

A version of this article appeared on Medscape.com.

Picture a healthcare system where physicians aren’t bogged down by excessive charting but are instead fully present with their patients, offering undivided attention and personalized care. In a recent X post, Stuart Blitz, COO and co-founder of Hone Health, sparked a thought-provoking conversation. “The problem with US healthcare is physicians are burned out since they spend way too much time charting, not enough with patients,” he wrote. “If you created a health system that did zero charting, you’d attract the best physicians and all patients would go there. Who is working on this?” 

This resonates with many in the medical community, myself included, because the strain of extensive documentation detracts from patient care. Having worked in both large and small healthcare systems, I know the burden of extensive charting is a palpable challenge, often detracting from the time we can devote to our patients.

The first part of this two-part series examines the overarching benefits of artificial intelligence (AI)–based clinical documentation in modern healthcare, a field witnessing a paradigm shift thanks to advancements in AI.
 

Transformative Evolution of Clinical Documentation

The transition from manual documentation to AI-driven solutions marks a significant shift in the field, with a number of products in development including Nuance, Abridge, Ambience, ScribeAmerica, 3M, and DeepScribe. These tools use ambient clinical intelligence (ACI) to automate documentation, capturing patient conversations and translating them into structured clinical summaries. This innovation aligns with the vision of reducing charting burdens and enhancing patient-physician interactions.

How does it work? ACI refers to a sophisticated form of AI applied in healthcare settings, particularly focusing on enhancing the clinical documentation process without disrupting the natural flow of the consultation. Here’s a technical yet practical breakdown of ACI and the algorithms it typically employs:

Data capture and processing: ACI systems employ various sensors and processing units, typically integrated into clinical settings. These sensors, like microphones and cameras, gather diverse data such as audio from patient-doctor dialogues and visual cues. This information is then processed in real-time or near–real-time.

Natural language processing (NLP): A core component of ACI is advanced NLP algorithms. These algorithms analyze the captured audio data, transcribing spoken words into text. NLP goes beyond mere transcription; it involves understanding context, extracting relevant medical information (like symptoms, diagnoses, and treatment plans), and interpreting the nuances of human language.

Deep learning: Machine learning, particularly deep-learning techniques, are employed to improve the accuracy of ACI systems continually. These algorithms can learn from vast datasets of clinical interactions, enhancing their ability to transcribe and interpret future conversations accurately. As they learn, they become better at understanding different accents, complex medical terms, and variations in speech patterns.

Integration with electronic health records (EHRs): ACI systems are often designed to integrate seamlessly with existing EHR systems. They can automatically populate patient records with information from patient-clinician interactions, reducing manual entry and potential errors.

Customization and personalization: Many ACI systems offer customizable templates or allow clinicians to tailor documentation workflows. This flexibility ensures that the output aligns with the specific needs and preferences of healthcare providers.

Ethical and privacy considerations: ACI systems must navigate significant ethical and privacy concerns, especially related to patient consent and data security. These systems need to comply with healthcare privacy regulations such as HIPAA. They need to securely manage sensitive patient data and restrict access to authorized personnel only.
 

Broad-Spectrum Benefits of AI in Documentation

• Reducing clinician burnout: By automating the documentation process, AI tools like DAX Copilot alleviate a significant contributor to physician burnout, enabling clinicians to focus more on patient care.
• Enhanced patient care: With AI handling documentation, clinicians can engage more with their patients, leading to improved care quality and patient satisfaction.
• Data accuracy and quality: AI-driven documentation captures detailed patient encounters accurately, ensuring high-quality and comprehensive medical records.
• Response to the growing need for efficient healthcare: AI-based documentation is a direct response to the growing call for more efficient healthcare practices, where clinicians spend less time on paperwork and more with patients.

The shift toward AI-based clinical documentation represents a critical step in addressing the inefficiencies in healthcare systems. It’s a move towards a more patient-centered approach, where clinicians can focus more on patient care by reducing the time spent on excessive charting. Hopefully, we can integrate these solutions into our clinics at a large enough scale to make such an impact.

In the next column, we will explore in-depth insights from Kenneth Harper at Nuance on the technical implementation of these tools, with DAX as an example.

I would love to read your comments on AI in clinical trials as well as other AI-related topics. Write me at Arturo.ai.medtech@gmail.com or find me on X @DrBonillaOnc.

Dr. Loaiza-Bonilla is the co-founder and chief medical officer at Massive Bio, a company connecting patients to clinical trials using artificial intelligence. His research and professional interests focus on precision medicine, clinical trial design, digital health, entrepreneurship, and patient advocacy. Dr Loaiza-Bonilla serves as medical director of oncology research at Capital Health in New Jersey, where he maintains a connection to patient care by attending to patients 2 days a week. He has served as a consultant for Verify, PSI CRO, Bayer, AstraZeneca, Cardinal Health, BrightInsight, The Lynx Group, Fresenius, Pfizer, Ipsen, and Guardant; served as a speaker or a member of a speakers bureau for Amgen, Guardant, Eisai, Ipsen, Natera, Merck, Bristol-Myers Squibb, and AstraZeneca. He holds a 5% or greater equity interest in Massive Bio.

A version of this article appeared on Medscape.com.

Picture a healthcare system where physicians aren’t bogged down by excessive charting but are instead fully present with their patients, offering undivided attention and personalized care. In a recent X post, Stuart Blitz, COO and co-founder of Hone Health, sparked a thought-provoking conversation. “The problem with US healthcare is physicians are burned out since they spend way too much time charting, not enough with patients,” he wrote. “If you created a health system that did zero charting, you’d attract the best physicians and all patients would go there. Who is working on this?” 

This resonates with many in the medical community, myself included, because the strain of extensive documentation detracts from patient care. Having worked in both large and small healthcare systems, I know the burden of extensive charting is a palpable challenge, often detracting from the time we can devote to our patients.

The first part of this two-part series examines the overarching benefits of artificial intelligence (AI)–based clinical documentation in modern healthcare, a field witnessing a paradigm shift thanks to advancements in AI.
 

Transformative Evolution of Clinical Documentation

The transition from manual documentation to AI-driven solutions marks a significant shift in the field, with a number of products in development including Nuance, Abridge, Ambience, ScribeAmerica, 3M, and DeepScribe. These tools use ambient clinical intelligence (ACI) to automate documentation, capturing patient conversations and translating them into structured clinical summaries. This innovation aligns with the vision of reducing charting burdens and enhancing patient-physician interactions.

How does it work? ACI refers to a sophisticated form of AI applied in healthcare settings, particularly focusing on enhancing the clinical documentation process without disrupting the natural flow of the consultation. Here’s a technical yet practical breakdown of ACI and the algorithms it typically employs:

Data capture and processing: ACI systems employ various sensors and processing units, typically integrated into clinical settings. These sensors, like microphones and cameras, gather diverse data such as audio from patient-doctor dialogues and visual cues. This information is then processed in real-time or near–real-time.

Natural language processing (NLP): A core component of ACI is advanced NLP algorithms. These algorithms analyze the captured audio data, transcribing spoken words into text. NLP goes beyond mere transcription; it involves understanding context, extracting relevant medical information (like symptoms, diagnoses, and treatment plans), and interpreting the nuances of human language.

Deep learning: Machine learning, particularly deep-learning techniques, are employed to improve the accuracy of ACI systems continually. These algorithms can learn from vast datasets of clinical interactions, enhancing their ability to transcribe and interpret future conversations accurately. As they learn, they become better at understanding different accents, complex medical terms, and variations in speech patterns.

Integration with electronic health records (EHRs): ACI systems are often designed to integrate seamlessly with existing EHR systems. They can automatically populate patient records with information from patient-clinician interactions, reducing manual entry and potential errors.

Customization and personalization: Many ACI systems offer customizable templates or allow clinicians to tailor documentation workflows. This flexibility ensures that the output aligns with the specific needs and preferences of healthcare providers.

Ethical and privacy considerations: ACI systems must navigate significant ethical and privacy concerns, especially related to patient consent and data security. These systems need to comply with healthcare privacy regulations such as HIPAA. They need to securely manage sensitive patient data and restrict access to authorized personnel only.
 

Broad-Spectrum Benefits of AI in Documentation

• Reducing clinician burnout: By automating the documentation process, AI tools like DAX Copilot alleviate a significant contributor to physician burnout, enabling clinicians to focus more on patient care.
• Enhanced patient care: With AI handling documentation, clinicians can engage more with their patients, leading to improved care quality and patient satisfaction.
• Data accuracy and quality: AI-driven documentation captures detailed patient encounters accurately, ensuring high-quality and comprehensive medical records.
• Response to the growing need for efficient healthcare: AI-based documentation is a direct response to the growing call for more efficient healthcare practices, where clinicians spend less time on paperwork and more with patients.

The shift toward AI-based clinical documentation represents a critical step in addressing the inefficiencies in healthcare systems. It’s a move towards a more patient-centered approach, where clinicians can focus more on patient care by reducing the time spent on excessive charting. Hopefully, we can integrate these solutions into our clinics at a large enough scale to make such an impact.

In the next column, we will explore in-depth insights from Kenneth Harper at Nuance on the technical implementation of these tools, with DAX as an example.

I would love to read your comments on AI in clinical trials as well as other AI-related topics. Write me at Arturo.ai.medtech@gmail.com or find me on X @DrBonillaOnc.

Dr. Loaiza-Bonilla is the co-founder and chief medical officer at Massive Bio, a company connecting patients to clinical trials using artificial intelligence. His research and professional interests focus on precision medicine, clinical trial design, digital health, entrepreneurship, and patient advocacy. Dr Loaiza-Bonilla serves as medical director of oncology research at Capital Health in New Jersey, where he maintains a connection to patient care by attending to patients 2 days a week. He has served as a consultant for Verify, PSI CRO, Bayer, AstraZeneca, Cardinal Health, BrightInsight, The Lynx Group, Fresenius, Pfizer, Ipsen, and Guardant; served as a speaker or a member of a speakers bureau for Amgen, Guardant, Eisai, Ipsen, Natera, Merck, Bristol-Myers Squibb, and AstraZeneca. He holds a 5% or greater equity interest in Massive Bio.

A version of this article appeared on Medscape.com.

Pregnant physicians may receive more workplace accommodations and protection against discrimination thanks to an updated rule from the US Equal Employment Opportunity Commission (EEOC). The guidelines could prevent women from losing critical career momentum. 

The Pregnant Workers Fairness Act (PWFA) aims to help workers balance professional demands with healthy pregnancies. It requires employers to provide reasonable accommodations for a “worker’s known limitations,” including physical or mental conditions associated with “pregnancy, childbirth, or related medical conditions.”

Reasonable accommodations vary but may involve time off to attend healthcare appointments or recover from childbirth, extra breaks during a shift, shorter work hours, or the ability to sit instead of stand. Private and public sector employers, including state and local governments, federal agencies, and employment agencies, must abide by the new guidelines unless they can provide evidence that doing so will cause undue hardship. 

Female doctors have historically encountered significant barriers to family planning. Years of training cause them to delay having children, often leading to higher rates of infertility, miscarriage, and pregnancy complications than in the general population. 

Some specialties, like surgeons, are particularly at risk, with 42% reporting at least one pregnancy loss. Most surgeons work their regular schedules until delivery despite desiring workload reductions, commonly citing unsupportive workplaces as a reason for not seeking accommodations. 

Trauma surgeon Qaali Hussein, MD, became pregnant with her first child during her intern year in 2008. She told this news organization that her residency program didn’t even have a maternity policy at the time, and her male supervisor was certain that motherhood would end her surgical career. 

She shared how “women usually waited until the end of their training to get pregnant. No one had ever gotten pregnant during the program and returned from maternity leave. I was the first to do so, so there wasn’t a policy or any program support to say, ‘What can we do to help?’ ”

Dr. Hussein used her vacation and sick time, returning to work 4 weeks after delivery. She had five more children, including twins her chief year and another baby during fellowship training in 2014. 

Each subsequent pregnancy was met with the same response from program leadership, she recalled. “They’d say, ‘This is it. You may have been able to do the first and second child, but this one will be impossible.’ ”

After the PWFA regulations first became enforceable in June, the EEOC accepted public feedback. The guidelines received nearly 100,000 comments, spurred mainly by the inclusion of abortion care as a qualifying condition for which an employee could receive accommodations. About 54,000 comments called for abortion to be excluded from the final rule, and 40,000 supported keeping the clause. 

The EEOC issued the final rule on April 15. It includes abortion care. However, the updated rule “does not require any employee to have — or not to have — an abortion, does not require taxpayers to pay for any abortions, and does not compel health care providers to provide any abortions,” the unpublished version of the final rule said. It is scheduled to take effect 60 days after its publication in the Federal Register on April 19.
 

Increasing Support for Doctor-Moms

The PWFA supplements other EEOC protections, such as pregnancy discrimination under Title VII of the Civil Rights Act of 1964 and access to reasonable accommodations under the Americans with Disabilities Act. In addition, it builds upon Department of Labor regulations, like the PUMP Act for breastfeeding employees and the Family and Medical Leave Act, which provides 12 weeks of unpaid, job-protected leave for the arrival of a child or certain medical conditions.

FMLA applies only to employees who have worked full-time for at least 12 months for an employer with 50 or more employees. Meanwhile, the unpaid, job-protected leave under the PWFA has no waiting period, lowers the required number of employees to 15, and permits accommodations for up to 40 weeks. 

Employers are encouraged to honor “common and simple” requests, like using a closer parking space or pumping or nursing at work, without requiring a doctor’s note, the rule said. 

Efforts to improve family leave policies for physicians and residents have been gaining traction. In 2021, the American Board of Medical Specialties began requiring its member boards with training programs lasting 2 or more years to allow at least 6 weeks off for parental, caregiver, and medical leave. This time can be taken without exhausting vacation or sick leave or requiring an extension in training. Over half of the 24 member boards permit leave beyond 6 weeks, including the American Boards of Allergy and Immunology, Emergency Medicine, Family Medicine, Radiology, and Surgery. 

Estefania Oliveros, MD, MSc, cardiologist and assistant professor at the Lewis Katz School of Medicine at Temple University, Philadelphia, told this news organization that the Accreditation Council for Graduate Medical Education also requires that residents and fellows receive 6 weeks of paid leave. 

“We add to that vacation time, so it gives them at least 8 weeks,” she said. The school has created spaces for nursing mothers — something neither she nor Dr. Hussein had access to when breastfeeding — and encourages the attendings to be proactive in excusing pregnant fellows for appointments. 

This differs significantly from her fellowship training experience 6 years ago at another institution, where she worked without accommodations until the day before her cesarean delivery. Dr. Oliveros had to use all her vacation time for recovery, returning to the program after 4 weeks instead of the recommended 6. 

“And that’s the story you hear all the time. Not because people are ill-intended; I just don’t think the system is designed to accommodate women, so we lose a lot of talent that way,” said Dr. Oliveros, whose 2019 survey in the Journal of the American College of Cardiology called for more support and protections for pregnant doctors. 

Both doctors believe the PWFA will be beneficial but only if leadership in the field takes up the cause. 

“The cultures of these institutions determine whether women feel safe or even confident enough to have children in medical school or residency,” said Dr. Hussein. 
 

A version of this article appeared on Medscape.com.

Pregnant physicians may receive more workplace accommodations and protection against discrimination thanks to an updated rule from the US Equal Employment Opportunity Commission (EEOC). The guidelines could prevent women from losing critical career momentum. 

The Pregnant Workers Fairness Act (PWFA) aims to help workers balance professional demands with healthy pregnancies. It requires employers to provide reasonable accommodations for a “worker’s known limitations,” including physical or mental conditions associated with “pregnancy, childbirth, or related medical conditions.”

Reasonable accommodations vary but may involve time off to attend healthcare appointments or recover from childbirth, extra breaks during a shift, shorter work hours, or the ability to sit instead of stand. Private and public sector employers, including state and local governments, federal agencies, and employment agencies, must abide by the new guidelines unless they can provide evidence that doing so will cause undue hardship. 

Female doctors have historically encountered significant barriers to family planning. Years of training cause them to delay having children, often leading to higher rates of infertility, miscarriage, and pregnancy complications than in the general population. 

Some specialties, like surgeons, are particularly at risk, with 42% reporting at least one pregnancy loss. Most surgeons work their regular schedules until delivery despite desiring workload reductions, commonly citing unsupportive workplaces as a reason for not seeking accommodations. 

Trauma surgeon Qaali Hussein, MD, became pregnant with her first child during her intern year in 2008. She told this news organization that her residency program didn’t even have a maternity policy at the time, and her male supervisor was certain that motherhood would end her surgical career. 

She shared how “women usually waited until the end of their training to get pregnant. No one had ever gotten pregnant during the program and returned from maternity leave. I was the first to do so, so there wasn’t a policy or any program support to say, ‘What can we do to help?’ ”

Dr. Hussein used her vacation and sick time, returning to work 4 weeks after delivery. She had five more children, including twins her chief year and another baby during fellowship training in 2014. 

Each subsequent pregnancy was met with the same response from program leadership, she recalled. “They’d say, ‘This is it. You may have been able to do the first and second child, but this one will be impossible.’ ”

After the PWFA regulations first became enforceable in June, the EEOC accepted public feedback. The guidelines received nearly 100,000 comments, spurred mainly by the inclusion of abortion care as a qualifying condition for which an employee could receive accommodations. About 54,000 comments called for abortion to be excluded from the final rule, and 40,000 supported keeping the clause. 

The EEOC issued the final rule on April 15. It includes abortion care. However, the updated rule “does not require any employee to have — or not to have — an abortion, does not require taxpayers to pay for any abortions, and does not compel health care providers to provide any abortions,” the unpublished version of the final rule said. It is scheduled to take effect 60 days after its publication in the Federal Register on April 19.
 

Increasing Support for Doctor-Moms

The PWFA supplements other EEOC protections, such as pregnancy discrimination under Title VII of the Civil Rights Act of 1964 and access to reasonable accommodations under the Americans with Disabilities Act. In addition, it builds upon Department of Labor regulations, like the PUMP Act for breastfeeding employees and the Family and Medical Leave Act, which provides 12 weeks of unpaid, job-protected leave for the arrival of a child or certain medical conditions.

FMLA applies only to employees who have worked full-time for at least 12 months for an employer with 50 or more employees. Meanwhile, the unpaid, job-protected leave under the PWFA has no waiting period, lowers the required number of employees to 15, and permits accommodations for up to 40 weeks. 

Employers are encouraged to honor “common and simple” requests, like using a closer parking space or pumping or nursing at work, without requiring a doctor’s note, the rule said. 

Efforts to improve family leave policies for physicians and residents have been gaining traction. In 2021, the American Board of Medical Specialties began requiring its member boards with training programs lasting 2 or more years to allow at least 6 weeks off for parental, caregiver, and medical leave. This time can be taken without exhausting vacation or sick leave or requiring an extension in training. Over half of the 24 member boards permit leave beyond 6 weeks, including the American Boards of Allergy and Immunology, Emergency Medicine, Family Medicine, Radiology, and Surgery. 

Estefania Oliveros, MD, MSc, cardiologist and assistant professor at the Lewis Katz School of Medicine at Temple University, Philadelphia, told this news organization that the Accreditation Council for Graduate Medical Education also requires that residents and fellows receive 6 weeks of paid leave. 

“We add to that vacation time, so it gives them at least 8 weeks,” she said. The school has created spaces for nursing mothers — something neither she nor Dr. Hussein had access to when breastfeeding — and encourages the attendings to be proactive in excusing pregnant fellows for appointments. 

This differs significantly from her fellowship training experience 6 years ago at another institution, where she worked without accommodations until the day before her cesarean delivery. Dr. Oliveros had to use all her vacation time for recovery, returning to the program after 4 weeks instead of the recommended 6. 

“And that’s the story you hear all the time. Not because people are ill-intended; I just don’t think the system is designed to accommodate women, so we lose a lot of talent that way,” said Dr. Oliveros, whose 2019 survey in the Journal of the American College of Cardiology called for more support and protections for pregnant doctors. 

Both doctors believe the PWFA will be beneficial but only if leadership in the field takes up the cause. 

“The cultures of these institutions determine whether women feel safe or even confident enough to have children in medical school or residency,” said Dr. Hussein. 
 

A version of this article appeared on Medscape.com.

Pregnant physicians may receive more workplace accommodations and protection against discrimination thanks to an updated rule from the US Equal Employment Opportunity Commission (EEOC). The guidelines could prevent women from losing critical career momentum. 

The Pregnant Workers Fairness Act (PWFA) aims to help workers balance professional demands with healthy pregnancies. It requires employers to provide reasonable accommodations for a “worker’s known limitations,” including physical or mental conditions associated with “pregnancy, childbirth, or related medical conditions.”

Reasonable accommodations vary but may involve time off to attend healthcare appointments or recover from childbirth, extra breaks during a shift, shorter work hours, or the ability to sit instead of stand. Private and public sector employers, including state and local governments, federal agencies, and employment agencies, must abide by the new guidelines unless they can provide evidence that doing so will cause undue hardship. 

Female doctors have historically encountered significant barriers to family planning. Years of training cause them to delay having children, often leading to higher rates of infertility, miscarriage, and pregnancy complications than in the general population. 

Some specialties, like surgeons, are particularly at risk, with 42% reporting at least one pregnancy loss. Most surgeons work their regular schedules until delivery despite desiring workload reductions, commonly citing unsupportive workplaces as a reason for not seeking accommodations. 

Trauma surgeon Qaali Hussein, MD, became pregnant with her first child during her intern year in 2008. She told this news organization that her residency program didn’t even have a maternity policy at the time, and her male supervisor was certain that motherhood would end her surgical career. 

She shared how “women usually waited until the end of their training to get pregnant. No one had ever gotten pregnant during the program and returned from maternity leave. I was the first to do so, so there wasn’t a policy or any program support to say, ‘What can we do to help?’ ”

Dr. Hussein used her vacation and sick time, returning to work 4 weeks after delivery. She had five more children, including twins her chief year and another baby during fellowship training in 2014. 

Each subsequent pregnancy was met with the same response from program leadership, she recalled. “They’d say, ‘This is it. You may have been able to do the first and second child, but this one will be impossible.’ ”

After the PWFA regulations first became enforceable in June, the EEOC accepted public feedback. The guidelines received nearly 100,000 comments, spurred mainly by the inclusion of abortion care as a qualifying condition for which an employee could receive accommodations. About 54,000 comments called for abortion to be excluded from the final rule, and 40,000 supported keeping the clause. 

The EEOC issued the final rule on April 15. It includes abortion care. However, the updated rule “does not require any employee to have — or not to have — an abortion, does not require taxpayers to pay for any abortions, and does not compel health care providers to provide any abortions,” the unpublished version of the final rule said. It is scheduled to take effect 60 days after its publication in the Federal Register on April 19.
 

Increasing Support for Doctor-Moms

The PWFA supplements other EEOC protections, such as pregnancy discrimination under Title VII of the Civil Rights Act of 1964 and access to reasonable accommodations under the Americans with Disabilities Act. In addition, it builds upon Department of Labor regulations, like the PUMP Act for breastfeeding employees and the Family and Medical Leave Act, which provides 12 weeks of unpaid, job-protected leave for the arrival of a child or certain medical conditions.

FMLA applies only to employees who have worked full-time for at least 12 months for an employer with 50 or more employees. Meanwhile, the unpaid, job-protected leave under the PWFA has no waiting period, lowers the required number of employees to 15, and permits accommodations for up to 40 weeks. 

Employers are encouraged to honor “common and simple” requests, like using a closer parking space or pumping or nursing at work, without requiring a doctor’s note, the rule said. 

Efforts to improve family leave policies for physicians and residents have been gaining traction. In 2021, the American Board of Medical Specialties began requiring its member boards with training programs lasting 2 or more years to allow at least 6 weeks off for parental, caregiver, and medical leave. This time can be taken without exhausting vacation or sick leave or requiring an extension in training. Over half of the 24 member boards permit leave beyond 6 weeks, including the American Boards of Allergy and Immunology, Emergency Medicine, Family Medicine, Radiology, and Surgery. 

Estefania Oliveros, MD, MSc, cardiologist and assistant professor at the Lewis Katz School of Medicine at Temple University, Philadelphia, told this news organization that the Accreditation Council for Graduate Medical Education also requires that residents and fellows receive 6 weeks of paid leave. 

“We add to that vacation time, so it gives them at least 8 weeks,” she said. The school has created spaces for nursing mothers — something neither she nor Dr. Hussein had access to when breastfeeding — and encourages the attendings to be proactive in excusing pregnant fellows for appointments. 

This differs significantly from her fellowship training experience 6 years ago at another institution, where she worked without accommodations until the day before her cesarean delivery. Dr. Oliveros had to use all her vacation time for recovery, returning to the program after 4 weeks instead of the recommended 6. 

“And that’s the story you hear all the time. Not because people are ill-intended; I just don’t think the system is designed to accommodate women, so we lose a lot of talent that way,” said Dr. Oliveros, whose 2019 survey in the Journal of the American College of Cardiology called for more support and protections for pregnant doctors. 

Both doctors believe the PWFA will be beneficial but only if leadership in the field takes up the cause. 

“The cultures of these institutions determine whether women feel safe or even confident enough to have children in medical school or residency,” said Dr. Hussein. 
 

A version of this article appeared on Medscape.com.

TOPLINE: 

A study comparing the clinical reasoning of an artificial intelligence (AI) model with that of physicians found the AI outperformed residents and attending physicians in simulated cases. The AI had more instances of incorrect reasoning than the doctors did but scored better overall.

METHODOLOGY:

• The study involved 39 physicians from two academic medical centers in Boston and the generative AI model GPT-4.
• Participants were presented with 20 simulated clinical cases involving common problems such as pharyngitis, headache, abdominal pain, cough, and chest pain. Each case included sections describing the triage presentation, review of systems, physical examination, and diagnostic testing.
• The primary outcome was the Revised-IDEA (R-IDEA) score, a 10-point scale evaluating clinical reasoning documentation across four domains: Interpretive summary, differential diagnosis, explanation of the lead diagnosis, and alternative diagnoses.

TAKEAWAY: 

• AI achieved a median R-IDEA score of 10, higher than attending physicians (median score, 9) and residents (8).
• The chatbot had a significantly higher estimated probability of achieving a high R-IDEA score of 8-10 (0.99) compared with attendings (0.76) and residents (0.56).
• AI provided more responses that contained instances of incorrect clinical reasoning (13.8%) than residents (2.8%) and attending physicians (12.5%). It performed similarly to physicians in diagnostic accuracy and inclusion of cannot-miss diagnoses.

IN PRACTICE:

“Future research should assess clinical reasoning of the LLM-physician interaction, as LLMs will more likely augment, not replace, the human reasoning process,” the authors of the study wrote. 

SOURCE:

Adam Rodman, MD, MPH, with Beth Israel Deaconess Medical Center, Boston, was the corresponding author on the paper. The research was published online in JAMA Internal Medicine. 

LIMITATIONS: 

Simulated clinical cases may not replicate performance in real-world scenarios. Further training could enhance the performance of the AI, so the study may underestimate its capabilities, the researchers noted. 

DISCLOSURES:

The study was supported by the Harvard Clinical and Translational Science Center and Harvard University. Authors disclosed financial ties to publishing companies and Solera Health. Dr. Rodman received funding from the Gordon and Betty Moore Foundation.

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

TOPLINE: 

A study comparing the clinical reasoning of an artificial intelligence (AI) model with that of physicians found the AI outperformed residents and attending physicians in simulated cases. The AI had more instances of incorrect reasoning than the doctors did but scored better overall.

METHODOLOGY:

• The study involved 39 physicians from two academic medical centers in Boston and the generative AI model GPT-4.
• Participants were presented with 20 simulated clinical cases involving common problems such as pharyngitis, headache, abdominal pain, cough, and chest pain. Each case included sections describing the triage presentation, review of systems, physical examination, and diagnostic testing.
• The primary outcome was the Revised-IDEA (R-IDEA) score, a 10-point scale evaluating clinical reasoning documentation across four domains: Interpretive summary, differential diagnosis, explanation of the lead diagnosis, and alternative diagnoses.

TAKEAWAY: 

• AI achieved a median R-IDEA score of 10, higher than attending physicians (median score, 9) and residents (8).
• The chatbot had a significantly higher estimated probability of achieving a high R-IDEA score of 8-10 (0.99) compared with attendings (0.76) and residents (0.56).
• AI provided more responses that contained instances of incorrect clinical reasoning (13.8%) than residents (2.8%) and attending physicians (12.5%). It performed similarly to physicians in diagnostic accuracy and inclusion of cannot-miss diagnoses.

IN PRACTICE:

“Future research should assess clinical reasoning of the LLM-physician interaction, as LLMs will more likely augment, not replace, the human reasoning process,” the authors of the study wrote. 

SOURCE:

Adam Rodman, MD, MPH, with Beth Israel Deaconess Medical Center, Boston, was the corresponding author on the paper. The research was published online in JAMA Internal Medicine. 

LIMITATIONS: 

Simulated clinical cases may not replicate performance in real-world scenarios. Further training could enhance the performance of the AI, so the study may underestimate its capabilities, the researchers noted. 

DISCLOSURES:

The study was supported by the Harvard Clinical and Translational Science Center and Harvard University. Authors disclosed financial ties to publishing companies and Solera Health. Dr. Rodman received funding from the Gordon and Betty Moore Foundation.

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

TOPLINE: 

A study comparing the clinical reasoning of an artificial intelligence (AI) model with that of physicians found the AI outperformed residents and attending physicians in simulated cases. The AI had more instances of incorrect reasoning than the doctors did but scored better overall.

METHODOLOGY:

• The study involved 39 physicians from two academic medical centers in Boston and the generative AI model GPT-4.
• Participants were presented with 20 simulated clinical cases involving common problems such as pharyngitis, headache, abdominal pain, cough, and chest pain. Each case included sections describing the triage presentation, review of systems, physical examination, and diagnostic testing.
• The primary outcome was the Revised-IDEA (R-IDEA) score, a 10-point scale evaluating clinical reasoning documentation across four domains: Interpretive summary, differential diagnosis, explanation of the lead diagnosis, and alternative diagnoses.

TAKEAWAY: 

• AI achieved a median R-IDEA score of 10, higher than attending physicians (median score, 9) and residents (8).
• The chatbot had a significantly higher estimated probability of achieving a high R-IDEA score of 8-10 (0.99) compared with attendings (0.76) and residents (0.56).
• AI provided more responses that contained instances of incorrect clinical reasoning (13.8%) than residents (2.8%) and attending physicians (12.5%). It performed similarly to physicians in diagnostic accuracy and inclusion of cannot-miss diagnoses.

IN PRACTICE:

“Future research should assess clinical reasoning of the LLM-physician interaction, as LLMs will more likely augment, not replace, the human reasoning process,” the authors of the study wrote. 

SOURCE:

Adam Rodman, MD, MPH, with Beth Israel Deaconess Medical Center, Boston, was the corresponding author on the paper. The research was published online in JAMA Internal Medicine. 

LIMITATIONS: 

Simulated clinical cases may not replicate performance in real-world scenarios. Further training could enhance the performance of the AI, so the study may underestimate its capabilities, the researchers noted. 

DISCLOSURES:

The study was supported by the Harvard Clinical and Translational Science Center and Harvard University. Authors disclosed financial ties to publishing companies and Solera Health. Dr. Rodman received funding from the Gordon and Betty Moore Foundation.

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

More women today are surviving breast cancer if it’s caught early, largely because of better screening and more effective and targeted treatments.

However, not everyone has benefited equitably from this progress. Critical gaps in breast cancer outcomes and survival remain for women in racial and ethnic minority groups.

Black women for instance, have a 41% higher death rate from breast cancer compared with White patients. They also have a greater incidence of aggressive disease like triple-negative breast cancer. Native American and Hispanic women, meanwhile, are more likely to be diagnosed with breast cancer at an earlier age than White women and experience more aggressive breast cancers.

In 2023, Farhad Islami, MD, PhD, and his team published an updated analysis of racial/ethnic and socioeconomic disparities in cancer trends based on data from 2014 to 2020. The analysis found that Black women in particular, were the least likely to have an early-stage diagnosis of breast cancer. Localized‐stage breast cancer was diagnosed in 57% of Black women versus 68% of White women.

American Cancer Society

“Despite substantial progress in cancer prevention, early detection, and treatments, the burden of cancer remains greater among populations that have been historically marginalized, including people of color, people with lower socioeconomic status, and people living in nonmetropolitan areas,” said Dr. Islami, who is senior scientific director of cancer disparity research in the Surveillance & Health Equity Science Department at the American Cancer Society.

The reasons behind outcomes disparities in breast cancer are complex, making solutions challenging, say experts researching racial differences in cancer outcomes.

While social determinants of health (SDH) seem to be drivers of higher breast cancer mortality in Black women, biological differences between Black and White women are also linked to poorer outcomes in Black women with breast cancer, new studies suggest. Among the findings of this research is that breast cancer tests may be contributing to the disparities and misguiding care for some patients of color.
 

SDH and Screening Rates Differences By Race

A range of factors contribute to racial and ethnic disparities in breast cancer outcomes, said Pamela Ganschow, MD, an associate professor in the Department of Internal Medicine at the University of Illinois Cancer Center in Chicago and part of the university’s Cancer Prevention and Control research program. These include socioeconomic status, access to timely and high-quality care across the cancer control continuum, cultural beliefs, differences in genetic makeup and tumor biology, as well as system biases, such as implicit biases and systemic racism, Dr. Ganschow said.

Dr. Islami adds that gaps in access to cancer prevention, early detection, and treatment are largely rooted in fundamental inequities in social determinants of health (SDH), such as whether a patient has safe housing, transportation, education, job opportunities, income, access to nutritious foods, and language and literacy skills, among others.

Dr. Islami’s analysis, for example, shows that people of color are generally more likely to have lower educational attainment and to experience poverty, food insecurity, and housing insecurity compared with White people. Among people aged 18-64 years, the age-adjusted proportion of individuals with no health insurance in 2021 was also higher among Black (13.7%), American Indian/Alaskan Native (18.7%), and Hispanic (28.7%) patients than among White (7.8%) or Asian (5.9%) people, according to the report.

Competing needs can also get in the way of prioritizing cancer screenings, especially for patients in lower socio-economic populations, Dr. Ganschow said.

University of Illinois Cancer Center

Biological Differences, Bad Testing Recommendations May Contribute to Poor Outcomes

Differences in biology may be one overlooked internal driver of lower breast cancer survival in Black women.

Researchers at Sanford Burnham Prebys in La Jolla, California, recently analyzed the breast cells of White and Black women, finding significant molecular differences that may be contributing to higher breast cancer mortality rates in Black women.

Investigators analyzed both healthy tissue and tumor tissue from 185 Black women and compared the samples to that of White women. They discovered differences among Black and White women in the way their DNA repair genes are expressed, both in healthy breast tissue and in tumors positive for estrogen receptor breast cancer. Molecular differences were also present in the cellular signals that control how fast cells, including cancer cells, grow.

DNA repair is part of normal cellular function and helps cells recover from damage that can occur during DNA replication or in response to external factors, such as stress.

“One of the first lines of defense, to prevent the cell from becoming a tumor are DNA damage repair pathways,” said Svasti Haricharan, PhD, a coauthor of the study and an assistant professor at Sanford Burnham Prebys. “We know there are many different DNA damage repair pathways that respond to different types of DNA damage. What we didn’t know was that, even in our normal cells, based on your race and ethnicity, you have different levels of DNA repair proteins.”

Sanford Burnham Prebys

University of Illinois Cancer Center

How Neighborhood Impacts Breast Cancer, Death Rates

Living in a disadvantaged neighborhood also lowers breast cancer survival, according to new research. A disadvantaged neighborhood is generally defined as a location associated with higher concentrations of poverty, higher rates of unemployment, and less access to health care, quality housing, food, and community resources, according to the Centers for Disease Control and Prevention.

Authors of a study published in JAMA Network Open on April 18 identified 350,824 patients with breast cancer. Of these, 41,519 (11.8%) were Hispanic, 39,631 (11.3%) were non-Hispanic Black, and 234,698 (66.9%) were non-Hispanic White. Investigators divided the patients into five groups representing the lowest to highest neighborhood socioeconomic indices using the Yost Index. (The Yost Index is used by the National Cancer Institute for cancer surveillance and is based on variables such as household income, home value, median rent, percentage below 150% of the poverty line, education, and unemployment.)

Of the Black and Hispanic patients in the study, the highest proportions of both demographics lived in the most disadvantaged neighborhoods. (16,141 Black patients [30.9%]) and 10,168 Hispanic patients [19.5%]). Although 45% of White patients also fell into that same category, the highest proportion of White patients in the study lived in the most advantaged neighborhoods (66,529 patients [76.2%]).

Findings showed patients in the most disadvantaged neighborhoods had the highest proportion of triple-negative breast cancer. Patients in this group also had the lowest proportion of patients who completed surgery and radiation, and the highest proportion of patients who received chemotherapy, compared with all other neighborhood groups. The most advantaged neighborhoods group had higher proportions of localized-stage cancer, a higher proportion of patients who underwent surgery and radiation, and the lowest proportion of patients receiving chemotherapy treatment.

Patients in the most disadvantaged neighborhoods also had the highest risk of mortality (hazard ratio [HR,] 1.53; 95% CI, 1.48-1.59; P less than .001) compared with patients living in the most advantaged neighborhoods. Non-Hispanic Black patients in particular, had the highest risk of mortality, compared with non-Hispanic White patients (HR, 1.16; 95% CI, 1.13-1.20; P less than .001).

Authors wrote that the findings suggest neighborhood disadvantage is independently associated with shorter survival in patients with breast cancer, even after controlling for individual-level factors, tumor characteristics, and treatment.

“To address these residual disparities associated with neighborhood disadvantage, research must focus on which components of the built environment influence outcomes,” the authors said.

Another recent study also found correlations among where breast cancer patients lived and how they fared with the disease.

Jasmine M. Miller-Kleinhenz, PhD, an assistant professor at University of Mississippi Medical Center in Jackson, studied how historical redlining impacts breast cancer development and outcomes in her research published in JAMA Network Open, earlier this year. Redlining refers to the practice of denying people access to credit because of where they live. Historically, mortgage lenders widely redlined neighborhoods with predominantly Black residents. The 1968 Fair Housing Act outlawed racially motivated redlining, but consequences from historical redlining still exist.

University of Mississippi Medical Center

Hope for Improved Outcomes, Higher Survival Rates

Investigators hope the findings of all of this new research lead to better, more targeted treatments and, in turn, improved outcomes.

Dr. Haricharan is optimistic about the improvement of breast cancer outcomes as more is learned about the biology of Black patients and other non-White patients.

There is a growing effort to include more data from minoritized populations in breast cancer research studies, Dr. Haricharan said, and she foresees associated changes to clinical protocols in the future. Her own team is working on creating larger data sets that are more representative of non-White patients to further analyze the differences found in their prior study.

“I think there’s this understanding that, until we have data sets that are more representative, we really are catering to [only one] population in terms of our diagnostic and therapeutic technological advances,” she said.

The American Cancer Society meanwhile, is launching a new initiative in May that aims to collect more health data from Black women to ultimately develop more effective cancer interventions. VOICES of Black Women will focus on collecting and studying health data from Black women through online surveys. The society’s goal is to enroll at least 100,000 Black women in the United States between ages 25 and 55.

Dr. Miller-Kleinhenz called the initiative “an important step to starting to research and answer some of these lingering questions about why there continue to be breast cancer disparities.”

More women today are surviving breast cancer if it’s caught early, largely because of better screening and more effective and targeted treatments.

However, not everyone has benefited equitably from this progress. Critical gaps in breast cancer outcomes and survival remain for women in racial and ethnic minority groups.

Black women for instance, have a 41% higher death rate from breast cancer compared with White patients. They also have a greater incidence of aggressive disease like triple-negative breast cancer. Native American and Hispanic women, meanwhile, are more likely to be diagnosed with breast cancer at an earlier age than White women and experience more aggressive breast cancers.

In 2023, Farhad Islami, MD, PhD, and his team published an updated analysis of racial/ethnic and socioeconomic disparities in cancer trends based on data from 2014 to 2020. The analysis found that Black women in particular, were the least likely to have an early-stage diagnosis of breast cancer. Localized‐stage breast cancer was diagnosed in 57% of Black women versus 68% of White women.

American Cancer Society

“Despite substantial progress in cancer prevention, early detection, and treatments, the burden of cancer remains greater among populations that have been historically marginalized, including people of color, people with lower socioeconomic status, and people living in nonmetropolitan areas,” said Dr. Islami, who is senior scientific director of cancer disparity research in the Surveillance & Health Equity Science Department at the American Cancer Society.

The reasons behind outcomes disparities in breast cancer are complex, making solutions challenging, say experts researching racial differences in cancer outcomes.

While social determinants of health (SDH) seem to be drivers of higher breast cancer mortality in Black women, biological differences between Black and White women are also linked to poorer outcomes in Black women with breast cancer, new studies suggest. Among the findings of this research is that breast cancer tests may be contributing to the disparities and misguiding care for some patients of color.
 

SDH and Screening Rates Differences By Race

A range of factors contribute to racial and ethnic disparities in breast cancer outcomes, said Pamela Ganschow, MD, an associate professor in the Department of Internal Medicine at the University of Illinois Cancer Center in Chicago and part of the university’s Cancer Prevention and Control research program. These include socioeconomic status, access to timely and high-quality care across the cancer control continuum, cultural beliefs, differences in genetic makeup and tumor biology, as well as system biases, such as implicit biases and systemic racism, Dr. Ganschow said.

Dr. Islami adds that gaps in access to cancer prevention, early detection, and treatment are largely rooted in fundamental inequities in social determinants of health (SDH), such as whether a patient has safe housing, transportation, education, job opportunities, income, access to nutritious foods, and language and literacy skills, among others.

Dr. Islami’s analysis, for example, shows that people of color are generally more likely to have lower educational attainment and to experience poverty, food insecurity, and housing insecurity compared with White people. Among people aged 18-64 years, the age-adjusted proportion of individuals with no health insurance in 2021 was also higher among Black (13.7%), American Indian/Alaskan Native (18.7%), and Hispanic (28.7%) patients than among White (7.8%) or Asian (5.9%) people, according to the report.

Competing needs can also get in the way of prioritizing cancer screenings, especially for patients in lower socio-economic populations, Dr. Ganschow said.

University of Illinois Cancer Center

Biological Differences, Bad Testing Recommendations May Contribute to Poor Outcomes

Differences in biology may be one overlooked internal driver of lower breast cancer survival in Black women.

Researchers at Sanford Burnham Prebys in La Jolla, California, recently analyzed the breast cells of White and Black women, finding significant molecular differences that may be contributing to higher breast cancer mortality rates in Black women.

Investigators analyzed both healthy tissue and tumor tissue from 185 Black women and compared the samples to that of White women. They discovered differences among Black and White women in the way their DNA repair genes are expressed, both in healthy breast tissue and in tumors positive for estrogen receptor breast cancer. Molecular differences were also present in the cellular signals that control how fast cells, including cancer cells, grow.

DNA repair is part of normal cellular function and helps cells recover from damage that can occur during DNA replication or in response to external factors, such as stress.

“One of the first lines of defense, to prevent the cell from becoming a tumor are DNA damage repair pathways,” said Svasti Haricharan, PhD, a coauthor of the study and an assistant professor at Sanford Burnham Prebys. “We know there are many different DNA damage repair pathways that respond to different types of DNA damage. What we didn’t know was that, even in our normal cells, based on your race and ethnicity, you have different levels of DNA repair proteins.”

Sanford Burnham Prebys

University of Illinois Cancer Center

How Neighborhood Impacts Breast Cancer, Death Rates

Living in a disadvantaged neighborhood also lowers breast cancer survival, according to new research. A disadvantaged neighborhood is generally defined as a location associated with higher concentrations of poverty, higher rates of unemployment, and less access to health care, quality housing, food, and community resources, according to the Centers for Disease Control and Prevention.

Authors of a study published in JAMA Network Open on April 18 identified 350,824 patients with breast cancer. Of these, 41,519 (11.8%) were Hispanic, 39,631 (11.3%) were non-Hispanic Black, and 234,698 (66.9%) were non-Hispanic White. Investigators divided the patients into five groups representing the lowest to highest neighborhood socioeconomic indices using the Yost Index. (The Yost Index is used by the National Cancer Institute for cancer surveillance and is based on variables such as household income, home value, median rent, percentage below 150% of the poverty line, education, and unemployment.)

Of the Black and Hispanic patients in the study, the highest proportions of both demographics lived in the most disadvantaged neighborhoods. (16,141 Black patients [30.9%]) and 10,168 Hispanic patients [19.5%]). Although 45% of White patients also fell into that same category, the highest proportion of White patients in the study lived in the most advantaged neighborhoods (66,529 patients [76.2%]).

Findings showed patients in the most disadvantaged neighborhoods had the highest proportion of triple-negative breast cancer. Patients in this group also had the lowest proportion of patients who completed surgery and radiation, and the highest proportion of patients who received chemotherapy, compared with all other neighborhood groups. The most advantaged neighborhoods group had higher proportions of localized-stage cancer, a higher proportion of patients who underwent surgery and radiation, and the lowest proportion of patients receiving chemotherapy treatment.

Patients in the most disadvantaged neighborhoods also had the highest risk of mortality (hazard ratio [HR,] 1.53; 95% CI, 1.48-1.59; P less than .001) compared with patients living in the most advantaged neighborhoods. Non-Hispanic Black patients in particular, had the highest risk of mortality, compared with non-Hispanic White patients (HR, 1.16; 95% CI, 1.13-1.20; P less than .001).

Authors wrote that the findings suggest neighborhood disadvantage is independently associated with shorter survival in patients with breast cancer, even after controlling for individual-level factors, tumor characteristics, and treatment.

“To address these residual disparities associated with neighborhood disadvantage, research must focus on which components of the built environment influence outcomes,” the authors said.

Another recent study also found correlations among where breast cancer patients lived and how they fared with the disease.

Jasmine M. Miller-Kleinhenz, PhD, an assistant professor at University of Mississippi Medical Center in Jackson, studied how historical redlining impacts breast cancer development and outcomes in her research published in JAMA Network Open, earlier this year. Redlining refers to the practice of denying people access to credit because of where they live. Historically, mortgage lenders widely redlined neighborhoods with predominantly Black residents. The 1968 Fair Housing Act outlawed racially motivated redlining, but consequences from historical redlining still exist.

University of Mississippi Medical Center

Hope for Improved Outcomes, Higher Survival Rates

Investigators hope the findings of all of this new research lead to better, more targeted treatments and, in turn, improved outcomes.

Dr. Haricharan is optimistic about the improvement of breast cancer outcomes as more is learned about the biology of Black patients and other non-White patients.

There is a growing effort to include more data from minoritized populations in breast cancer research studies, Dr. Haricharan said, and she foresees associated changes to clinical protocols in the future. Her own team is working on creating larger data sets that are more representative of non-White patients to further analyze the differences found in their prior study.

“I think there’s this understanding that, until we have data sets that are more representative, we really are catering to [only one] population in terms of our diagnostic and therapeutic technological advances,” she said.

The American Cancer Society meanwhile, is launching a new initiative in May that aims to collect more health data from Black women to ultimately develop more effective cancer interventions. VOICES of Black Women will focus on collecting and studying health data from Black women through online surveys. The society’s goal is to enroll at least 100,000 Black women in the United States between ages 25 and 55.

Dr. Miller-Kleinhenz called the initiative “an important step to starting to research and answer some of these lingering questions about why there continue to be breast cancer disparities.”

More women today are surviving breast cancer if it’s caught early, largely because of better screening and more effective and targeted treatments.

However, not everyone has benefited equitably from this progress. Critical gaps in breast cancer outcomes and survival remain for women in racial and ethnic minority groups.

Black women for instance, have a 41% higher death rate from breast cancer compared with White patients. They also have a greater incidence of aggressive disease like triple-negative breast cancer. Native American and Hispanic women, meanwhile, are more likely to be diagnosed with breast cancer at an earlier age than White women and experience more aggressive breast cancers.

In 2023, Farhad Islami, MD, PhD, and his team published an updated analysis of racial/ethnic and socioeconomic disparities in cancer trends based on data from 2014 to 2020. The analysis found that Black women in particular, were the least likely to have an early-stage diagnosis of breast cancer. Localized‐stage breast cancer was diagnosed in 57% of Black women versus 68% of White women.

American Cancer Society

“Despite substantial progress in cancer prevention, early detection, and treatments, the burden of cancer remains greater among populations that have been historically marginalized, including people of color, people with lower socioeconomic status, and people living in nonmetropolitan areas,” said Dr. Islami, who is senior scientific director of cancer disparity research in the Surveillance & Health Equity Science Department at the American Cancer Society.

The reasons behind outcomes disparities in breast cancer are complex, making solutions challenging, say experts researching racial differences in cancer outcomes.

While social determinants of health (SDH) seem to be drivers of higher breast cancer mortality in Black women, biological differences between Black and White women are also linked to poorer outcomes in Black women with breast cancer, new studies suggest. Among the findings of this research is that breast cancer tests may be contributing to the disparities and misguiding care for some patients of color.
 

SDH and Screening Rates Differences By Race

A range of factors contribute to racial and ethnic disparities in breast cancer outcomes, said Pamela Ganschow, MD, an associate professor in the Department of Internal Medicine at the University of Illinois Cancer Center in Chicago and part of the university’s Cancer Prevention and Control research program. These include socioeconomic status, access to timely and high-quality care across the cancer control continuum, cultural beliefs, differences in genetic makeup and tumor biology, as well as system biases, such as implicit biases and systemic racism, Dr. Ganschow said.

Dr. Islami adds that gaps in access to cancer prevention, early detection, and treatment are largely rooted in fundamental inequities in social determinants of health (SDH), such as whether a patient has safe housing, transportation, education, job opportunities, income, access to nutritious foods, and language and literacy skills, among others.

Dr. Islami’s analysis, for example, shows that people of color are generally more likely to have lower educational attainment and to experience poverty, food insecurity, and housing insecurity compared with White people. Among people aged 18-64 years, the age-adjusted proportion of individuals with no health insurance in 2021 was also higher among Black (13.7%), American Indian/Alaskan Native (18.7%), and Hispanic (28.7%) patients than among White (7.8%) or Asian (5.9%) people, according to the report.

Competing needs can also get in the way of prioritizing cancer screenings, especially for patients in lower socio-economic populations, Dr. Ganschow said.

University of Illinois Cancer Center

Biological Differences, Bad Testing Recommendations May Contribute to Poor Outcomes

Differences in biology may be one overlooked internal driver of lower breast cancer survival in Black women.

Researchers at Sanford Burnham Prebys in La Jolla, California, recently analyzed the breast cells of White and Black women, finding significant molecular differences that may be contributing to higher breast cancer mortality rates in Black women.

Investigators analyzed both healthy tissue and tumor tissue from 185 Black women and compared the samples to that of White women. They discovered differences among Black and White women in the way their DNA repair genes are expressed, both in healthy breast tissue and in tumors positive for estrogen receptor breast cancer. Molecular differences were also present in the cellular signals that control how fast cells, including cancer cells, grow.

DNA repair is part of normal cellular function and helps cells recover from damage that can occur during DNA replication or in response to external factors, such as stress.

“One of the first lines of defense, to prevent the cell from becoming a tumor are DNA damage repair pathways,” said Svasti Haricharan, PhD, a coauthor of the study and an assistant professor at Sanford Burnham Prebys. “We know there are many different DNA damage repair pathways that respond to different types of DNA damage. What we didn’t know was that, even in our normal cells, based on your race and ethnicity, you have different levels of DNA repair proteins.”

Sanford Burnham Prebys

University of Illinois Cancer Center

How Neighborhood Impacts Breast Cancer, Death Rates

Living in a disadvantaged neighborhood also lowers breast cancer survival, according to new research. A disadvantaged neighborhood is generally defined as a location associated with higher concentrations of poverty, higher rates of unemployment, and less access to health care, quality housing, food, and community resources, according to the Centers for Disease Control and Prevention.

Authors of a study published in JAMA Network Open on April 18 identified 350,824 patients with breast cancer. Of these, 41,519 (11.8%) were Hispanic, 39,631 (11.3%) were non-Hispanic Black, and 234,698 (66.9%) were non-Hispanic White. Investigators divided the patients into five groups representing the lowest to highest neighborhood socioeconomic indices using the Yost Index. (The Yost Index is used by the National Cancer Institute for cancer surveillance and is based on variables such as household income, home value, median rent, percentage below 150% of the poverty line, education, and unemployment.)

Of the Black and Hispanic patients in the study, the highest proportions of both demographics lived in the most disadvantaged neighborhoods. (16,141 Black patients [30.9%]) and 10,168 Hispanic patients [19.5%]). Although 45% of White patients also fell into that same category, the highest proportion of White patients in the study lived in the most advantaged neighborhoods (66,529 patients [76.2%]).

Findings showed patients in the most disadvantaged neighborhoods had the highest proportion of triple-negative breast cancer. Patients in this group also had the lowest proportion of patients who completed surgery and radiation, and the highest proportion of patients who received chemotherapy, compared with all other neighborhood groups. The most advantaged neighborhoods group had higher proportions of localized-stage cancer, a higher proportion of patients who underwent surgery and radiation, and the lowest proportion of patients receiving chemotherapy treatment.

Patients in the most disadvantaged neighborhoods also had the highest risk of mortality (hazard ratio [HR,] 1.53; 95% CI, 1.48-1.59; P less than .001) compared with patients living in the most advantaged neighborhoods. Non-Hispanic Black patients in particular, had the highest risk of mortality, compared with non-Hispanic White patients (HR, 1.16; 95% CI, 1.13-1.20; P less than .001).

Authors wrote that the findings suggest neighborhood disadvantage is independently associated with shorter survival in patients with breast cancer, even after controlling for individual-level factors, tumor characteristics, and treatment.

“To address these residual disparities associated with neighborhood disadvantage, research must focus on which components of the built environment influence outcomes,” the authors said.

Another recent study also found correlations among where breast cancer patients lived and how they fared with the disease.

Jasmine M. Miller-Kleinhenz, PhD, an assistant professor at University of Mississippi Medical Center in Jackson, studied how historical redlining impacts breast cancer development and outcomes in her research published in JAMA Network Open, earlier this year. Redlining refers to the practice of denying people access to credit because of where they live. Historically, mortgage lenders widely redlined neighborhoods with predominantly Black residents. The 1968 Fair Housing Act outlawed racially motivated redlining, but consequences from historical redlining still exist.

University of Mississippi Medical Center

Hope for Improved Outcomes, Higher Survival Rates

Investigators hope the findings of all of this new research lead to better, more targeted treatments and, in turn, improved outcomes.

Dr. Haricharan is optimistic about the improvement of breast cancer outcomes as more is learned about the biology of Black patients and other non-White patients.

There is a growing effort to include more data from minoritized populations in breast cancer research studies, Dr. Haricharan said, and she foresees associated changes to clinical protocols in the future. Her own team is working on creating larger data sets that are more representative of non-White patients to further analyze the differences found in their prior study.

“I think there’s this understanding that, until we have data sets that are more representative, we really are catering to [only one] population in terms of our diagnostic and therapeutic technological advances,” she said.

The American Cancer Society meanwhile, is launching a new initiative in May that aims to collect more health data from Black women to ultimately develop more effective cancer interventions. VOICES of Black Women will focus on collecting and studying health data from Black women through online surveys. The society’s goal is to enroll at least 100,000 Black women in the United States between ages 25 and 55.

Dr. Miller-Kleinhenz called the initiative “an important step to starting to research and answer some of these lingering questions about why there continue to be breast cancer disparities.”

TOPLINE:

An analysis of molecular-targeted cancer drug therapies recently approved in the United States found that fewer than one-third demonstrated substantial clinical benefits at the time of approval.

METHODOLOGY:

• The strength and quality of evidence supporting genome-targeted cancer drug approvals vary. A big reason is the growing number of cancer drug approvals based on surrogate endpoints, such as disease-free and progression-free survival, instead of clinical endpoints, such as overall survival or quality of life. The US Food and Drug Administration (FDA) has also approved genome-targeted cancer drugs based on phase 1 or single-arm trials.
• Given these less rigorous considerations for approval, “the validity and value of the targets and surrogate measures underlying FDA genome-targeted cancer drug approvals are uncertain,” the researchers explained.
• In the current analysis, researchers assessed the validity of the molecular targets as well as the clinical benefits of genome-targeted cancer drugs approved in the United States from 2015 to 2022 based on results from pivotal trials.
• The researchers evaluated the strength of evidence supporting molecular targetability using the European Society for Medical Oncology (ESMO) Scale for Clinical Actionability of Molecular Targets (ESCAT) and the clinical benefit using the ESMO–Magnitude of Clinical Benefit Scale (ESMO-MCBS).
• The authors defined a substantial clinical benefit as an A or B grade for curative intent and a 4 or 5 for noncurative intent. High-benefit genomic-based cancer treatments were defined as those associated with a substantial clinical benefit (ESMO-MCBS) and that qualified as ESCAT category level I-A (a clinical benefit based on prospective randomized data) or I-B (prospective nonrandomized data).

TAKEAWAY:

• The analyses focused on 50 molecular-targeted cancer drugs covering 84 indications. Of which, 45 indications (54%) were approved based on phase 1 or 2 pivotal trials, 45 (54%) were supported by single-arm pivotal trials and the remaining 39 (46%) by randomized trial, and 48 (57%) were approved based on subgroup analyses.
• Among the 84 indications, more than half (55%) of the pivotal trials supporting approval used overall response rate as a primary endpoint, 31% used progression-free survival, and 6% used disease-free survival. Only seven indications (8%) were supported by pivotal trials demonstrating an improvement in overall survival.
• Among the 84 trials, 24 (29%) met the ESMO-MCBS threshold for substantial clinical benefit.
• Overall, when combining all ratings, only 24 of the 84 indications (29%) were considered high-benefit genomic-based cancer treatments.

IN PRACTICE:

“We applied the ESMO-MCBS and ESCAT value frameworks to identify therapies and molecular targets providing high clinical value that should be widely available to patients” and “found that drug indications supported by these characteristics represent a minority of cancer drug approvals in recent years,” the authors said. Using these value frameworks could help payers, governments, and individual patients “prioritize the availability of high-value molecular-targeted therapies.”

SOURCE:

The study, with first author Ariadna Tibau, MD, PhD, Brigham and Women’s Hospital and Harvard Medical School, Boston, was published online in JAMA Oncology.

LIMITATIONS:

The study evaluated only trials that supported regulatory approval and did not include outcomes of postapproval clinical studies, which could lead to changes in ESMO-MCBS grades and ESCAT levels of evidence over time.

DISCLOSURES:

The study was funded by the Kaiser Permanente Institute for Health Policy, Arnold Ventures, and the Commonwealth Fund. The authors had no relevant disclosures.

A version of this article appeared on Medscape.com.

TOPLINE:

An analysis of molecular-targeted cancer drug therapies recently approved in the United States found that fewer than one-third demonstrated substantial clinical benefits at the time of approval.

METHODOLOGY:

• The strength and quality of evidence supporting genome-targeted cancer drug approvals vary. A big reason is the growing number of cancer drug approvals based on surrogate endpoints, such as disease-free and progression-free survival, instead of clinical endpoints, such as overall survival or quality of life. The US Food and Drug Administration (FDA) has also approved genome-targeted cancer drugs based on phase 1 or single-arm trials.
• Given these less rigorous considerations for approval, “the validity and value of the targets and surrogate measures underlying FDA genome-targeted cancer drug approvals are uncertain,” the researchers explained.
• In the current analysis, researchers assessed the validity of the molecular targets as well as the clinical benefits of genome-targeted cancer drugs approved in the United States from 2015 to 2022 based on results from pivotal trials.
• The researchers evaluated the strength of evidence supporting molecular targetability using the European Society for Medical Oncology (ESMO) Scale for Clinical Actionability of Molecular Targets (ESCAT) and the clinical benefit using the ESMO–Magnitude of Clinical Benefit Scale (ESMO-MCBS).
• The authors defined a substantial clinical benefit as an A or B grade for curative intent and a 4 or 5 for noncurative intent. High-benefit genomic-based cancer treatments were defined as those associated with a substantial clinical benefit (ESMO-MCBS) and that qualified as ESCAT category level I-A (a clinical benefit based on prospective randomized data) or I-B (prospective nonrandomized data).

TAKEAWAY:

• The analyses focused on 50 molecular-targeted cancer drugs covering 84 indications. Of which, 45 indications (54%) were approved based on phase 1 or 2 pivotal trials, 45 (54%) were supported by single-arm pivotal trials and the remaining 39 (46%) by randomized trial, and 48 (57%) were approved based on subgroup analyses.
• Among the 84 indications, more than half (55%) of the pivotal trials supporting approval used overall response rate as a primary endpoint, 31% used progression-free survival, and 6% used disease-free survival. Only seven indications (8%) were supported by pivotal trials demonstrating an improvement in overall survival.
• Among the 84 trials, 24 (29%) met the ESMO-MCBS threshold for substantial clinical benefit.
• Overall, when combining all ratings, only 24 of the 84 indications (29%) were considered high-benefit genomic-based cancer treatments.

IN PRACTICE:

“We applied the ESMO-MCBS and ESCAT value frameworks to identify therapies and molecular targets providing high clinical value that should be widely available to patients” and “found that drug indications supported by these characteristics represent a minority of cancer drug approvals in recent years,” the authors said. Using these value frameworks could help payers, governments, and individual patients “prioritize the availability of high-value molecular-targeted therapies.”

SOURCE:

The study, with first author Ariadna Tibau, MD, PhD, Brigham and Women’s Hospital and Harvard Medical School, Boston, was published online in JAMA Oncology.

LIMITATIONS:

The study evaluated only trials that supported regulatory approval and did not include outcomes of postapproval clinical studies, which could lead to changes in ESMO-MCBS grades and ESCAT levels of evidence over time.

DISCLOSURES:

The study was funded by the Kaiser Permanente Institute for Health Policy, Arnold Ventures, and the Commonwealth Fund. The authors had no relevant disclosures.

A version of this article appeared on Medscape.com.

TOPLINE:

An analysis of molecular-targeted cancer drug therapies recently approved in the United States found that fewer than one-third demonstrated substantial clinical benefits at the time of approval.

METHODOLOGY:

• The strength and quality of evidence supporting genome-targeted cancer drug approvals vary. A big reason is the growing number of cancer drug approvals based on surrogate endpoints, such as disease-free and progression-free survival, instead of clinical endpoints, such as overall survival or quality of life. The US Food and Drug Administration (FDA) has also approved genome-targeted cancer drugs based on phase 1 or single-arm trials.
• Given these less rigorous considerations for approval, “the validity and value of the targets and surrogate measures underlying FDA genome-targeted cancer drug approvals are uncertain,” the researchers explained.
• In the current analysis, researchers assessed the validity of the molecular targets as well as the clinical benefits of genome-targeted cancer drugs approved in the United States from 2015 to 2022 based on results from pivotal trials.
• The researchers evaluated the strength of evidence supporting molecular targetability using the European Society for Medical Oncology (ESMO) Scale for Clinical Actionability of Molecular Targets (ESCAT) and the clinical benefit using the ESMO–Magnitude of Clinical Benefit Scale (ESMO-MCBS).
• The authors defined a substantial clinical benefit as an A or B grade for curative intent and a 4 or 5 for noncurative intent. High-benefit genomic-based cancer treatments were defined as those associated with a substantial clinical benefit (ESMO-MCBS) and that qualified as ESCAT category level I-A (a clinical benefit based on prospective randomized data) or I-B (prospective nonrandomized data).

TAKEAWAY:

• The analyses focused on 50 molecular-targeted cancer drugs covering 84 indications. Of which, 45 indications (54%) were approved based on phase 1 or 2 pivotal trials, 45 (54%) were supported by single-arm pivotal trials and the remaining 39 (46%) by randomized trial, and 48 (57%) were approved based on subgroup analyses.
• Among the 84 indications, more than half (55%) of the pivotal trials supporting approval used overall response rate as a primary endpoint, 31% used progression-free survival, and 6% used disease-free survival. Only seven indications (8%) were supported by pivotal trials demonstrating an improvement in overall survival.
• Among the 84 trials, 24 (29%) met the ESMO-MCBS threshold for substantial clinical benefit.
• Overall, when combining all ratings, only 24 of the 84 indications (29%) were considered high-benefit genomic-based cancer treatments.

IN PRACTICE:

“We applied the ESMO-MCBS and ESCAT value frameworks to identify therapies and molecular targets providing high clinical value that should be widely available to patients” and “found that drug indications supported by these characteristics represent a minority of cancer drug approvals in recent years,” the authors said. Using these value frameworks could help payers, governments, and individual patients “prioritize the availability of high-value molecular-targeted therapies.”

SOURCE:

The study, with first author Ariadna Tibau, MD, PhD, Brigham and Women’s Hospital and Harvard Medical School, Boston, was published online in JAMA Oncology.

LIMITATIONS:

The study evaluated only trials that supported regulatory approval and did not include outcomes of postapproval clinical studies, which could lead to changes in ESMO-MCBS grades and ESCAT levels of evidence over time.

DISCLOSURES:

The study was funded by the Kaiser Permanente Institute for Health Policy, Arnold Ventures, and the Commonwealth Fund. The authors had no relevant disclosures.

A version of this article appeared on Medscape.com.

Physician practice ownership by corporations, including health insurers, private equity firms, and large pharmacy chains, reached 30.1% as of January for the first time surpassing ownership by hospitals and health systems (28.4%), according to a new report.

As a result, about three in five physician practices are now owned by nonphysicians.

In early 2020, corporations owned just about 17% of US medical practices, while hospitals and health systems owned about 25%, according to the report released Thursday by nonprofit Physician Advocacy Institute (PAI). But corporate ownership of medical groups surged during the pandemic.

These trends raise questions about how best to protect patients and physicians in a changing employment landscape, said Kelly Kenney, PAI’s chief executive officer, in a statement.

“Corporate entities are assuming control of physician practices and changing the face of medicine in the United States with little to no scrutiny from regulators,” Ms. Kenney said.

The research, conducted by consulting group Avalere for PAI, used the IQVIA OneKey database that contains physician and practice location information on hospital and health system ownership.

By 2022-2023, there was a 7.3% increase in the percentage of practices owned by hospitals and 5.9% increase in the percentage of physicians employed by these organizations, PAI said. In the same time frame, there was an 11% increase in the percentage of practices owned by corporations and a 3.0% increase in the percentage of physicians employed by these entities.

“Physicians have an ethical responsibility to their patients’ health,” Ms. Kenney said. “Corporate entities have a fiduciary responsibility to their shareholders and are motivated to put profits first…these interests can conflict with providing the best medical care to patients.”
 

Federal Scrutiny Increases

However, both federal and state regulators are paying more attention to what happens to patients and physicians when corporations acquire practices.

“Given recent trends, we are concerned that some transactions may generate profits for those firms at the expense of patients’ health, workers’ safety, quality of care, and affordable healthcare for patients and taxpayers,” said the Federal Trade Commission (FTC) and the Justice (DOJ) and Health and Human Services (HHS) departments.

This statement appears in those agencies’ joint request for information (RFI) announced in March. An RFI is a tool that federal agencies can use to gauge the level of both support and opposition they would face if they were to try to change policies. Public comments are due May 6.

Corporations and advocacy groups often submit detailed comments outlining reasons why the federal government should or should not act on an issue. But individuals also can make their case in this forum.

The FTC, DOJ, and HHS are looking broadly at consolidation in healthcare, but they also spell out potential concerns related to acquisition of physician practices.

For example, they asked clinicians and support staff to provide feedback about whether acquisitions lead to changes in:

• Take-home pay
• Staffing levels
• Workplace safety
• Compensation model (eg, from fixed salary to volume based)
• Policies regarding patient referrals
• Mix of patients
• The volume of patients
• The way providers practice medicine (eg, incentives, prescribing decisions, forced protocols, restrictions on time spent with patients, or mandatory coding practices)
• Administrative or managerial organization (eg, transition to a management services organization).

A version of this article appeared on Medscape.com.

Physician practice ownership by corporations, including health insurers, private equity firms, and large pharmacy chains, reached 30.1% as of January for the first time surpassing ownership by hospitals and health systems (28.4%), according to a new report.

As a result, about three in five physician practices are now owned by nonphysicians.

In early 2020, corporations owned just about 17% of US medical practices, while hospitals and health systems owned about 25%, according to the report released Thursday by nonprofit Physician Advocacy Institute (PAI). But corporate ownership of medical groups surged during the pandemic.

These trends raise questions about how best to protect patients and physicians in a changing employment landscape, said Kelly Kenney, PAI’s chief executive officer, in a statement.

“Corporate entities are assuming control of physician practices and changing the face of medicine in the United States with little to no scrutiny from regulators,” Ms. Kenney said.

The research, conducted by consulting group Avalere for PAI, used the IQVIA OneKey database that contains physician and practice location information on hospital and health system ownership.

By 2022-2023, there was a 7.3% increase in the percentage of practices owned by hospitals and 5.9% increase in the percentage of physicians employed by these organizations, PAI said. In the same time frame, there was an 11% increase in the percentage of practices owned by corporations and a 3.0% increase in the percentage of physicians employed by these entities.

“Physicians have an ethical responsibility to their patients’ health,” Ms. Kenney said. “Corporate entities have a fiduciary responsibility to their shareholders and are motivated to put profits first…these interests can conflict with providing the best medical care to patients.”
 

Federal Scrutiny Increases

However, both federal and state regulators are paying more attention to what happens to patients and physicians when corporations acquire practices.

“Given recent trends, we are concerned that some transactions may generate profits for those firms at the expense of patients’ health, workers’ safety, quality of care, and affordable healthcare for patients and taxpayers,” said the Federal Trade Commission (FTC) and the Justice (DOJ) and Health and Human Services (HHS) departments.

This statement appears in those agencies’ joint request for information (RFI) announced in March. An RFI is a tool that federal agencies can use to gauge the level of both support and opposition they would face if they were to try to change policies. Public comments are due May 6.

Corporations and advocacy groups often submit detailed comments outlining reasons why the federal government should or should not act on an issue. But individuals also can make their case in this forum.

The FTC, DOJ, and HHS are looking broadly at consolidation in healthcare, but they also spell out potential concerns related to acquisition of physician practices.

For example, they asked clinicians and support staff to provide feedback about whether acquisitions lead to changes in:

• Take-home pay
• Staffing levels
• Workplace safety
• Compensation model (eg, from fixed salary to volume based)
• Policies regarding patient referrals
• Mix of patients
• The volume of patients
• The way providers practice medicine (eg, incentives, prescribing decisions, forced protocols, restrictions on time spent with patients, or mandatory coding practices)
• Administrative or managerial organization (eg, transition to a management services organization).

A version of this article appeared on Medscape.com.

Physician practice ownership by corporations, including health insurers, private equity firms, and large pharmacy chains, reached 30.1% as of January for the first time surpassing ownership by hospitals and health systems (28.4%), according to a new report.

As a result, about three in five physician practices are now owned by nonphysicians.

In early 2020, corporations owned just about 17% of US medical practices, while hospitals and health systems owned about 25%, according to the report released Thursday by nonprofit Physician Advocacy Institute (PAI). But corporate ownership of medical groups surged during the pandemic.

These trends raise questions about how best to protect patients and physicians in a changing employment landscape, said Kelly Kenney, PAI’s chief executive officer, in a statement.

“Corporate entities are assuming control of physician practices and changing the face of medicine in the United States with little to no scrutiny from regulators,” Ms. Kenney said.

The research, conducted by consulting group Avalere for PAI, used the IQVIA OneKey database that contains physician and practice location information on hospital and health system ownership.

By 2022-2023, there was a 7.3% increase in the percentage of practices owned by hospitals and 5.9% increase in the percentage of physicians employed by these organizations, PAI said. In the same time frame, there was an 11% increase in the percentage of practices owned by corporations and a 3.0% increase in the percentage of physicians employed by these entities.

“Physicians have an ethical responsibility to their patients’ health,” Ms. Kenney said. “Corporate entities have a fiduciary responsibility to their shareholders and are motivated to put profits first…these interests can conflict with providing the best medical care to patients.”
 

Federal Scrutiny Increases

However, both federal and state regulators are paying more attention to what happens to patients and physicians when corporations acquire practices.

“Given recent trends, we are concerned that some transactions may generate profits for those firms at the expense of patients’ health, workers’ safety, quality of care, and affordable healthcare for patients and taxpayers,” said the Federal Trade Commission (FTC) and the Justice (DOJ) and Health and Human Services (HHS) departments.

This statement appears in those agencies’ joint request for information (RFI) announced in March. An RFI is a tool that federal agencies can use to gauge the level of both support and opposition they would face if they were to try to change policies. Public comments are due May 6.

Corporations and advocacy groups often submit detailed comments outlining reasons why the federal government should or should not act on an issue. But individuals also can make their case in this forum.

The FTC, DOJ, and HHS are looking broadly at consolidation in healthcare, but they also spell out potential concerns related to acquisition of physician practices.

For example, they asked clinicians and support staff to provide feedback about whether acquisitions lead to changes in:

• Take-home pay
• Staffing levels
• Workplace safety
• Compensation model (eg, from fixed salary to volume based)
• Policies regarding patient referrals
• Mix of patients
• The volume of patients
• The way providers practice medicine (eg, incentives, prescribing decisions, forced protocols, restrictions on time spent with patients, or mandatory coding practices)
• Administrative or managerial organization (eg, transition to a management services organization).

A version of this article appeared on Medscape.com.

This transcript has been edited for clarity.

When I was doing my nephrology training, I had an attending who would write notes that were, well, kind of funny. I remember one time we were seeing a patient whose first name was “Lucky.” He dryly opened his section of the consult note as follows: “This is a 56-year-old woman with an ironic name who presents with acute renal failure.”

As an exhausted renal fellow, I appreciated the bit of color amid the ongoing series of tragedies that was the consult service. But let’s be clear — writing like this in the medical record is not a good idea. It wasn’t a good idea then, when any record might end up disclosed during a malpractice suit, and it’s really not a good idea now, when patients have ready and automated access to all the notes we write about them.

And yet, worse language than that of my attending appears in hospital notes all the time; there is research about this. Specifically, I’m talking about language that does not have high clinical utility but telegraphs the biases of the person writing the note. This is known as “stigmatizing language” and it can be overt or subtle.

For example, a physician wrote “I listed several fictitious medication names and she reported she was taking them.”

This casts suspicions about the patient’s credibility, as does the more subtle statement, “he claims nicotine patches don’t work for him.” Stigmatizing language may cast the patient in a difficult light, like this note: “she persevered on the fact that ... ‘you wouldn’t understand.’ ”

This stuff creeps into our medical notes because doctors are human, not AI — at least not yet — and our frustrations and biases are real. But could those frustrations and biases lead to medical errors? Even deaths? Stay with me.

We are going to start by defining a very sick patient population: those admitted to the hospital and who, within 48 hours, have either been transferred to the intensive care unit or died. Because of the severity of illness in this population we’ve just defined, figuring out whether a diagnostic or other error was made would be extremely high yield; these can mean the difference between life and death.

In a letter appearing in JAMA Internal Medicine, researchers examined a group of more than 2300 patients just like this from 29 hospitals, scouring the medical records for evidence of these types of errors.

Nearly one in four (23.2%) had at least one diagnostic error, which could include a missed physical exam finding, failure to ask a key question on history taking, inadequate testing, and so on.

Understanding why we make these errors is clearly critical to improving care for these patients. The researchers hypothesized that stigmatizing language might lead to errors like this. For example, by demonstrating that you don’t find a patient credible, you may ignore statements that would help make a better diagnosis.

Just over 5% of these patients had evidence of stigmatizing language in their medical notes. Like earlier studies, this language was more common if the patient was Black or had unstable housing.

Critically, stigmatizing language was more likely to be found among those who had diagnostic errors — a rate of 8.2% vs 4.1%. After adjustment for factors like race, the presence of stigmatizing language was associated with roughly a doubling of the risk for diagnostic errors.

Now, I’m all for eliminating stigmatizing language from our medical notes. And, given the increased transparency of all medical notes these days, I expect that we’ll see less of this over time. But of course, the fact that a physician doesn’t write something that disparages the patient does not necessarily mean that they don’t retain that bias. That said, those comments have an effect on all the other team members who care for that patient as well; it sets a tone and can entrench an individual’s bias more broadly. We should strive to eliminate our biases when it comes to caring for patients. But perhaps the second best thing is to work to keep those biases to ourselves.
 

Dr. Wilson is associate professor of medicine and public health and director of the Clinical and Translational Research Accelerator at Yale University, New Haven, Conn. He has disclosed no relevant financial relationships.

A version of this article appeared on Medscape.com.

This transcript has been edited for clarity.

When I was doing my nephrology training, I had an attending who would write notes that were, well, kind of funny. I remember one time we were seeing a patient whose first name was “Lucky.” He dryly opened his section of the consult note as follows: “This is a 56-year-old woman with an ironic name who presents with acute renal failure.”

As an exhausted renal fellow, I appreciated the bit of color amid the ongoing series of tragedies that was the consult service. But let’s be clear — writing like this in the medical record is not a good idea. It wasn’t a good idea then, when any record might end up disclosed during a malpractice suit, and it’s really not a good idea now, when patients have ready and automated access to all the notes we write about them.

And yet, worse language than that of my attending appears in hospital notes all the time; there is research about this. Specifically, I’m talking about language that does not have high clinical utility but telegraphs the biases of the person writing the note. This is known as “stigmatizing language” and it can be overt or subtle.

For example, a physician wrote “I listed several fictitious medication names and she reported she was taking them.”

This casts suspicions about the patient’s credibility, as does the more subtle statement, “he claims nicotine patches don’t work for him.” Stigmatizing language may cast the patient in a difficult light, like this note: “she persevered on the fact that ... ‘you wouldn’t understand.’ ”

This stuff creeps into our medical notes because doctors are human, not AI — at least not yet — and our frustrations and biases are real. But could those frustrations and biases lead to medical errors? Even deaths? Stay with me.

We are going to start by defining a very sick patient population: those admitted to the hospital and who, within 48 hours, have either been transferred to the intensive care unit or died. Because of the severity of illness in this population we’ve just defined, figuring out whether a diagnostic or other error was made would be extremely high yield; these can mean the difference between life and death.

In a letter appearing in JAMA Internal Medicine, researchers examined a group of more than 2300 patients just like this from 29 hospitals, scouring the medical records for evidence of these types of errors.

Nearly one in four (23.2%) had at least one diagnostic error, which could include a missed physical exam finding, failure to ask a key question on history taking, inadequate testing, and so on.

Understanding why we make these errors is clearly critical to improving care for these patients. The researchers hypothesized that stigmatizing language might lead to errors like this. For example, by demonstrating that you don’t find a patient credible, you may ignore statements that would help make a better diagnosis.

Just over 5% of these patients had evidence of stigmatizing language in their medical notes. Like earlier studies, this language was more common if the patient was Black or had unstable housing.

Critically, stigmatizing language was more likely to be found among those who had diagnostic errors — a rate of 8.2% vs 4.1%. After adjustment for factors like race, the presence of stigmatizing language was associated with roughly a doubling of the risk for diagnostic errors.

Now, I’m all for eliminating stigmatizing language from our medical notes. And, given the increased transparency of all medical notes these days, I expect that we’ll see less of this over time. But of course, the fact that a physician doesn’t write something that disparages the patient does not necessarily mean that they don’t retain that bias. That said, those comments have an effect on all the other team members who care for that patient as well; it sets a tone and can entrench an individual’s bias more broadly. We should strive to eliminate our biases when it comes to caring for patients. But perhaps the second best thing is to work to keep those biases to ourselves.
 

Dr. Wilson is associate professor of medicine and public health and director of the Clinical and Translational Research Accelerator at Yale University, New Haven, Conn. He has disclosed no relevant financial relationships.

A version of this article appeared on Medscape.com.

This transcript has been edited for clarity.

When I was doing my nephrology training, I had an attending who would write notes that were, well, kind of funny. I remember one time we were seeing a patient whose first name was “Lucky.” He dryly opened his section of the consult note as follows: “This is a 56-year-old woman with an ironic name who presents with acute renal failure.”

As an exhausted renal fellow, I appreciated the bit of color amid the ongoing series of tragedies that was the consult service. But let’s be clear — writing like this in the medical record is not a good idea. It wasn’t a good idea then, when any record might end up disclosed during a malpractice suit, and it’s really not a good idea now, when patients have ready and automated access to all the notes we write about them.

And yet, worse language than that of my attending appears in hospital notes all the time; there is research about this. Specifically, I’m talking about language that does not have high clinical utility but telegraphs the biases of the person writing the note. This is known as “stigmatizing language” and it can be overt or subtle.

For example, a physician wrote “I listed several fictitious medication names and she reported she was taking them.”

This casts suspicions about the patient’s credibility, as does the more subtle statement, “he claims nicotine patches don’t work for him.” Stigmatizing language may cast the patient in a difficult light, like this note: “she persevered on the fact that ... ‘you wouldn’t understand.’ ”

This stuff creeps into our medical notes because doctors are human, not AI — at least not yet — and our frustrations and biases are real. But could those frustrations and biases lead to medical errors? Even deaths? Stay with me.

We are going to start by defining a very sick patient population: those admitted to the hospital and who, within 48 hours, have either been transferred to the intensive care unit or died. Because of the severity of illness in this population we’ve just defined, figuring out whether a diagnostic or other error was made would be extremely high yield; these can mean the difference between life and death.

In a letter appearing in JAMA Internal Medicine, researchers examined a group of more than 2300 patients just like this from 29 hospitals, scouring the medical records for evidence of these types of errors.

Nearly one in four (23.2%) had at least one diagnostic error, which could include a missed physical exam finding, failure to ask a key question on history taking, inadequate testing, and so on.

Understanding why we make these errors is clearly critical to improving care for these patients. The researchers hypothesized that stigmatizing language might lead to errors like this. For example, by demonstrating that you don’t find a patient credible, you may ignore statements that would help make a better diagnosis.

Just over 5% of these patients had evidence of stigmatizing language in their medical notes. Like earlier studies, this language was more common if the patient was Black or had unstable housing.

Critically, stigmatizing language was more likely to be found among those who had diagnostic errors — a rate of 8.2% vs 4.1%. After adjustment for factors like race, the presence of stigmatizing language was associated with roughly a doubling of the risk for diagnostic errors.

Now, I’m all for eliminating stigmatizing language from our medical notes. And, given the increased transparency of all medical notes these days, I expect that we’ll see less of this over time. But of course, the fact that a physician doesn’t write something that disparages the patient does not necessarily mean that they don’t retain that bias. That said, those comments have an effect on all the other team members who care for that patient as well; it sets a tone and can entrench an individual’s bias more broadly. We should strive to eliminate our biases when it comes to caring for patients. But perhaps the second best thing is to work to keep those biases to ourselves.
 

Dr. Wilson is associate professor of medicine and public health and director of the Clinical and Translational Research Accelerator at Yale University, New Haven, Conn. He has disclosed no relevant financial relationships.

A version of this article appeared on Medscape.com.

The appeal of working from home is undeniable. It comes with no daily commute, casual dress, and the ability to manage work-life balance more effectively.

Telemedicine is often the first thing that comes to mind when physicians think about remote medical practice. In its traditional sense, telemedicine entails live video consults, replicating the in-person experience as closely as possible, minus the hands-on component. However, this format is just one of many types of virtual care presenting opportunities to practice medicine from home.

The scope and volume of such opportunities are expanding due to technology, regulatory shifts at the state and federal levels favoring remote healthcare, and a wider move toward remote work. Virtual practice options for physicians range from full-time employment to flexible part-time positions that can be used to earn supplementary income.

Just a few of those virtual options are:

Remote Patient Monitoring

Remote patient monitoring uses technology for tracking patient health data, applicable in real-time or asynchronously, through devices ranging from specialized monitors to consumer wearables. Data are securely transmitted to healthcare providers, enabling them to guide or make treatment choices remotely. This method has proven particularly valuable in managing chronic diseases where continuous monitoring can significantly affect outcomes.

Like standard telemedicine, remote patient monitoring offers flexibility, autonomy, and the ability to work from home. It is picking up steam across the healthcare industry, especially in critical care, surgery, post-acute care, and primary care, so there are opportunities for physicians across a variety of specialties.

Online Medication Management and Text-Based Consults

Gathering necessary information for patient care decisions often doesn’t require a direct, face-to-face visit in person or by telemedicine. Clinical data can be efficiently collected through online forms, HIPAA-compliant messaging, medical record reviews, and information gathered by staff.

An approach that uses all these sources enables effective medication management for stable chronic conditions (such as hypertension), as well as straightforward but simple acute issues (such as urinary tract infections). It also is useful for quick follow-ups with patients after starting new treatments, to address questions between visits, and to give them educational material.

Some medical practices and virtual healthcare corporations have made online medication management and text-based consults the center of their business model. Part-time positions with platforms that offer this type of care let physicians fit consultations into their schedule as time permits, without committing to scheduled appointments.

eConsults

Electronic consultations, or eConsults, facilitate collaboration among healthcare professionals about complex cases without direct patient interaction.

These services operate via online platforms that support asynchronous communication and often bypass the need for a traditional referral. Typically, a primary care provider submits a query that is then assigned to a specialist. Next, the specialist reviews the information and offers recommendations for the patient’s care plan.

Major eConsult platforms such as AristaMD and RubiconMD contract with healthcare systems and medical practices. Physicians can easily join the specialist panels of these companies and complete assigned consultations from their homes or offices, paid on a per-consult basis. They should check their employment contracts to make sure such independent contract work is allowed.

Phone-Only On-Call Positions

On-call rotations for after-hour care bring with them challenges in staffing and scheduling vacations. These challenges have helped trigger as-needed or per diem on-call roles, in which a physician provides recommendations and orders over the phone without needing to visit an office or a hospital.

Examples of workplaces that employ phone-only on-call physicians include smaller jails, mental health facilities, dialysis centers, long-term care facilities, and sporting groups or events needing back-up for on-site nurses or emergency medical technicians.

While these positions can sometimes be challenging for a physician to find, they are out there. They can be a fantastic option to earn additional income through low-stress clinical work performed from home.

Supervision of Nurse Practitioners (NPs) and Physician Assistants (PAs)

In states that mandate such physician oversight, it often be conducted remotely — depending on that state’s rules, the practice type, and the scope of services being provided. This remote option introduces part-time opportunities for physicians to oversee NPs and PAs without being in the medical office. Essentially, the doctor needs to be available for phone or email consultations, complete chart reviews, and meet regularly with the provider.

Remote supervision roles are available across various types of healthcare organizations and medical practices. There also are opportunities with insurers, many of which have established NP-run, in-home member assessment programs that require remote supervision by a doctor.

Remote Medical Directorships

Medical directors are a key part of the clinician team in a wide variety of healthcare settings requiring clinical protocol oversight, regulatory compliance, and guidance for other clinicians making treatment decisions. Many directorships do not require direct patient contact and therefore are conducive to remote work, given technologies such as electronic health record and secure messaging systems.

Organizations such as emergency medical service agencies, hospice services, med spas, blood and plasma donation centers, home health agencies, and substance use disorder treatment programs increasingly rely on remote medical directorships to meet legal requirements and accreditation standards.

Although these positions are often viewed as “nonclinical,” they carry significant clinical responsibilities. Examples are developing and reviewing treatment protocols, ensuring adherence to healthcare regulations, and sometimes intervening in complex patient cases or when adverse outcomes occur.

Keeping a Role in Patient Welfare

Clearly, working from home as a physician doesn’t have to mean taking on a nonclinical job. Beyond the options already mentioned, there are numerous others — for example, working as a medical monitor for clinical trials, in utilization management for insurance companies, or in conducting independent medical exams for insurance claims. While these roles don’t involve direct patient treatment, they require similar skills and affect the quality of care.

If such remote opportunities aren’t currently available in your workplace, consider approaching your management about trying them. You can make an effective argument that remote practice alternatives bring value to the organization through expanded patient care capabilities and potential cost savings.

Physicians who are experiencing burnout, seeking a career change, or interested in earning extra income should consider exploring more of the unconventional ways that they can practice medicine.

A version of this article appeared on Medscape.com.

The appeal of working from home is undeniable. It comes with no daily commute, casual dress, and the ability to manage work-life balance more effectively.

Telemedicine is often the first thing that comes to mind when physicians think about remote medical practice. In its traditional sense, telemedicine entails live video consults, replicating the in-person experience as closely as possible, minus the hands-on component. However, this format is just one of many types of virtual care presenting opportunities to practice medicine from home.

The scope and volume of such opportunities are expanding due to technology, regulatory shifts at the state and federal levels favoring remote healthcare, and a wider move toward remote work. Virtual practice options for physicians range from full-time employment to flexible part-time positions that can be used to earn supplementary income.

Just a few of those virtual options are:

Remote Patient Monitoring

Remote patient monitoring uses technology for tracking patient health data, applicable in real-time or asynchronously, through devices ranging from specialized monitors to consumer wearables. Data are securely transmitted to healthcare providers, enabling them to guide or make treatment choices remotely. This method has proven particularly valuable in managing chronic diseases where continuous monitoring can significantly affect outcomes.

Like standard telemedicine, remote patient monitoring offers flexibility, autonomy, and the ability to work from home. It is picking up steam across the healthcare industry, especially in critical care, surgery, post-acute care, and primary care, so there are opportunities for physicians across a variety of specialties.

Online Medication Management and Text-Based Consults

Gathering necessary information for patient care decisions often doesn’t require a direct, face-to-face visit in person or by telemedicine. Clinical data can be efficiently collected through online forms, HIPAA-compliant messaging, medical record reviews, and information gathered by staff.

An approach that uses all these sources enables effective medication management for stable chronic conditions (such as hypertension), as well as straightforward but simple acute issues (such as urinary tract infections). It also is useful for quick follow-ups with patients after starting new treatments, to address questions between visits, and to give them educational material.

Some medical practices and virtual healthcare corporations have made online medication management and text-based consults the center of their business model. Part-time positions with platforms that offer this type of care let physicians fit consultations into their schedule as time permits, without committing to scheduled appointments.

eConsults

Electronic consultations, or eConsults, facilitate collaboration among healthcare professionals about complex cases without direct patient interaction.

These services operate via online platforms that support asynchronous communication and often bypass the need for a traditional referral. Typically, a primary care provider submits a query that is then assigned to a specialist. Next, the specialist reviews the information and offers recommendations for the patient’s care plan.

Major eConsult platforms such as AristaMD and RubiconMD contract with healthcare systems and medical practices. Physicians can easily join the specialist panels of these companies and complete assigned consultations from their homes or offices, paid on a per-consult basis. They should check their employment contracts to make sure such independent contract work is allowed.

Phone-Only On-Call Positions

On-call rotations for after-hour care bring with them challenges in staffing and scheduling vacations. These challenges have helped trigger as-needed or per diem on-call roles, in which a physician provides recommendations and orders over the phone without needing to visit an office or a hospital.

Examples of workplaces that employ phone-only on-call physicians include smaller jails, mental health facilities, dialysis centers, long-term care facilities, and sporting groups or events needing back-up for on-site nurses or emergency medical technicians.

While these positions can sometimes be challenging for a physician to find, they are out there. They can be a fantastic option to earn additional income through low-stress clinical work performed from home.

Supervision of Nurse Practitioners (NPs) and Physician Assistants (PAs)

In states that mandate such physician oversight, it often be conducted remotely — depending on that state’s rules, the practice type, and the scope of services being provided. This remote option introduces part-time opportunities for physicians to oversee NPs and PAs without being in the medical office. Essentially, the doctor needs to be available for phone or email consultations, complete chart reviews, and meet regularly with the provider.

Remote supervision roles are available across various types of healthcare organizations and medical practices. There also are opportunities with insurers, many of which have established NP-run, in-home member assessment programs that require remote supervision by a doctor.

Remote Medical Directorships

Medical directors are a key part of the clinician team in a wide variety of healthcare settings requiring clinical protocol oversight, regulatory compliance, and guidance for other clinicians making treatment decisions. Many directorships do not require direct patient contact and therefore are conducive to remote work, given technologies such as electronic health record and secure messaging systems.

Organizations such as emergency medical service agencies, hospice services, med spas, blood and plasma donation centers, home health agencies, and substance use disorder treatment programs increasingly rely on remote medical directorships to meet legal requirements and accreditation standards.

Although these positions are often viewed as “nonclinical,” they carry significant clinical responsibilities. Examples are developing and reviewing treatment protocols, ensuring adherence to healthcare regulations, and sometimes intervening in complex patient cases or when adverse outcomes occur.

Keeping a Role in Patient Welfare

Clearly, working from home as a physician doesn’t have to mean taking on a nonclinical job. Beyond the options already mentioned, there are numerous others — for example, working as a medical monitor for clinical trials, in utilization management for insurance companies, or in conducting independent medical exams for insurance claims. While these roles don’t involve direct patient treatment, they require similar skills and affect the quality of care.

If such remote opportunities aren’t currently available in your workplace, consider approaching your management about trying them. You can make an effective argument that remote practice alternatives bring value to the organization through expanded patient care capabilities and potential cost savings.

Physicians who are experiencing burnout, seeking a career change, or interested in earning extra income should consider exploring more of the unconventional ways that they can practice medicine.

A version of this article appeared on Medscape.com.

The appeal of working from home is undeniable. It comes with no daily commute, casual dress, and the ability to manage work-life balance more effectively.

Telemedicine is often the first thing that comes to mind when physicians think about remote medical practice. In its traditional sense, telemedicine entails live video consults, replicating the in-person experience as closely as possible, minus the hands-on component. However, this format is just one of many types of virtual care presenting opportunities to practice medicine from home.

The scope and volume of such opportunities are expanding due to technology, regulatory shifts at the state and federal levels favoring remote healthcare, and a wider move toward remote work. Virtual practice options for physicians range from full-time employment to flexible part-time positions that can be used to earn supplementary income.

Just a few of those virtual options are:

Remote Patient Monitoring

Remote patient monitoring uses technology for tracking patient health data, applicable in real-time or asynchronously, through devices ranging from specialized monitors to consumer wearables. Data are securely transmitted to healthcare providers, enabling them to guide or make treatment choices remotely. This method has proven particularly valuable in managing chronic diseases where continuous monitoring can significantly affect outcomes.

Like standard telemedicine, remote patient monitoring offers flexibility, autonomy, and the ability to work from home. It is picking up steam across the healthcare industry, especially in critical care, surgery, post-acute care, and primary care, so there are opportunities for physicians across a variety of specialties.

Online Medication Management and Text-Based Consults

Gathering necessary information for patient care decisions often doesn’t require a direct, face-to-face visit in person or by telemedicine. Clinical data can be efficiently collected through online forms, HIPAA-compliant messaging, medical record reviews, and information gathered by staff.

An approach that uses all these sources enables effective medication management for stable chronic conditions (such as hypertension), as well as straightforward but simple acute issues (such as urinary tract infections). It also is useful for quick follow-ups with patients after starting new treatments, to address questions between visits, and to give them educational material.

Some medical practices and virtual healthcare corporations have made online medication management and text-based consults the center of their business model. Part-time positions with platforms that offer this type of care let physicians fit consultations into their schedule as time permits, without committing to scheduled appointments.

eConsults

Electronic consultations, or eConsults, facilitate collaboration among healthcare professionals about complex cases without direct patient interaction.

These services operate via online platforms that support asynchronous communication and often bypass the need for a traditional referral. Typically, a primary care provider submits a query that is then assigned to a specialist. Next, the specialist reviews the information and offers recommendations for the patient’s care plan.

Major eConsult platforms such as AristaMD and RubiconMD contract with healthcare systems and medical practices. Physicians can easily join the specialist panels of these companies and complete assigned consultations from their homes or offices, paid on a per-consult basis. They should check their employment contracts to make sure such independent contract work is allowed.

Phone-Only On-Call Positions

On-call rotations for after-hour care bring with them challenges in staffing and scheduling vacations. These challenges have helped trigger as-needed or per diem on-call roles, in which a physician provides recommendations and orders over the phone without needing to visit an office or a hospital.

Examples of workplaces that employ phone-only on-call physicians include smaller jails, mental health facilities, dialysis centers, long-term care facilities, and sporting groups or events needing back-up for on-site nurses or emergency medical technicians.

While these positions can sometimes be challenging for a physician to find, they are out there. They can be a fantastic option to earn additional income through low-stress clinical work performed from home.

Supervision of Nurse Practitioners (NPs) and Physician Assistants (PAs)

In states that mandate such physician oversight, it often be conducted remotely — depending on that state’s rules, the practice type, and the scope of services being provided. This remote option introduces part-time opportunities for physicians to oversee NPs and PAs without being in the medical office. Essentially, the doctor needs to be available for phone or email consultations, complete chart reviews, and meet regularly with the provider.

Remote supervision roles are available across various types of healthcare organizations and medical practices. There also are opportunities with insurers, many of which have established NP-run, in-home member assessment programs that require remote supervision by a doctor.

Remote Medical Directorships

Medical directors are a key part of the clinician team in a wide variety of healthcare settings requiring clinical protocol oversight, regulatory compliance, and guidance for other clinicians making treatment decisions. Many directorships do not require direct patient contact and therefore are conducive to remote work, given technologies such as electronic health record and secure messaging systems.

Organizations such as emergency medical service agencies, hospice services, med spas, blood and plasma donation centers, home health agencies, and substance use disorder treatment programs increasingly rely on remote medical directorships to meet legal requirements and accreditation standards.

Although these positions are often viewed as “nonclinical,” they carry significant clinical responsibilities. Examples are developing and reviewing treatment protocols, ensuring adherence to healthcare regulations, and sometimes intervening in complex patient cases or when adverse outcomes occur.

Keeping a Role in Patient Welfare

Clearly, working from home as a physician doesn’t have to mean taking on a nonclinical job. Beyond the options already mentioned, there are numerous others — for example, working as a medical monitor for clinical trials, in utilization management for insurance companies, or in conducting independent medical exams for insurance claims. While these roles don’t involve direct patient treatment, they require similar skills and affect the quality of care.

If such remote opportunities aren’t currently available in your workplace, consider approaching your management about trying them. You can make an effective argument that remote practice alternatives bring value to the organization through expanded patient care capabilities and potential cost savings.

Physicians who are experiencing burnout, seeking a career change, or interested in earning extra income should consider exploring more of the unconventional ways that they can practice medicine.

A version of this article appeared on Medscape.com.

Medicare reimbursement for common breast cancer surgeries decreased significantly over the past two decades, and the resulting shortage of funds could affect quality of care and access to services, especially for vulnerable patient populations.

These were findings of new research presented by Terry P. Gao, MD, at the American Society of Breast Surgeons annual meeting.

Medicare reimbursements often set a benchmark that is followed by private insurers, and the impact of changes on various breast surgeries have not been examined, Dr. Gao, a research resident at Temple University Hospital, Philadelphia, said during a press briefing in advance of the meeting.

“This study is important because it is the first to analyze trends in Medicare reimbursement for breast cancer surgery over a long period,” Dr. Gao said during an interview. The findings highlight a critical issue that could impact access to quality care, especially for vulnerable populations, she said.
 

How Were the Data Analyzed?

Dr. Gao and colleagues reviewed percent changes in reimbursement procedures over a 20-year period and compared them to changes in the consumer price index (CPI) to show the real-life impact of inflation.

The study examined reimbursements based on the Medicare Physician Fee Schedule Look-Up Tool from 2003 to 2023 for 10 procedures. The procedures were core needle biopsy, open incisional breast biopsy, open excisional breast biopsy, lumpectomy, lumpectomy with axillary lymph node dissection (ALND), simple mastectomy, radical mastectomy, modified radical mastectomy, biopsy/removal of lymph nodes, and sentinel lymph node biopsy.
 

What Does the New Study Show?

“Reimbursements did not keep pace with the price of goods and services,” Dr. Gao said during the press briefing.

After the researchers corrected data for inflation, the overall mean Medicare reimbursement for breast cancer surgeries decreased by approximately 21%, based in part on the 69% increase in the CPI over the study period, Dr. Gao said. The greatest change was in core needle biopsy, for which reimbursement decreased by 36%.

After inflation adjustment, reimbursement increases were seen for only two procedures, lumpectomy and simple mastectomy, of 0.37% and 3.58%, respectively, but these do not represent meaningful gains, Dr. Gao said.

The researchers also used a model to estimate the real-life impact of decreased reimbursement on clinicians. They subtracted the actual 2023 compensation from expected 2023 compensation based on inflation for a breast cancer case incidence of 297,790 patients who underwent axillary surgery, breast lumpectomy, or simple mastectomy. The calculated potential real-world compensation loss for that year was $107,604,444.
 

What are the Clinical Implications? 

The current study is the first to put specific numbers on the trend in declining breast cancer payments, and the findings should encourage physicians to advocate for equitable policies, Dr. Gao noted during the briefing.

The substantial decrease in inflation-adjusted reimbursement rates was significant, she said during the interview. Although the decrease reflects similar trends seen in other specialties, the magnitude is a potential cause for concern, she said.

Declining reimbursements could disproportionately hurt safety-net hospitals serving vulnerable populations by limiting their ability to invest in better care and potentially worsening existing racial disparities, Dr. Gao told this publication. “Additionally, surgeons may opt out of Medicare networks due to low rates, leading to access issues and longer wait times. Finally, these trends could discourage future generations from specializing in breast cancer surgery.”

The study findings should be considered in the context of the complex and rapidly changing clinical landscape in which breast cancer care is evolving, Mediget Teshome, MD, chief of breast surgery at UCLA Health, said during an interview.

“Surgery remains a critically important aspect to curative treatment,” Dr. Teshome said.

Surgical decision-making tailored to each patient’s goals involves coordination from a multidisciplinary team as well as skill and attention from surgeons, she added.

“This degree of specialization and nuance is not always captured in reimbursement models for breast surgery,” Dr. Teshome emphasized. The policy implications of any changes in Medicare reimbursement will be important given the American Cancer Society reports breast cancer as the most commonly diagnosed cancer in women in the United States, and as the second leading cause of cancer death in US women, she noted.
 

What Additional Research Is Needed?

Research is needed to understand how declining reimbursements affect patients’ access to care, treatment choices, and long-term outcomes, Dr. Gao said in the interview. Future studies also are needed to examine provider overhead costs, staffing structures, and profit margins to offer a more comprehensive understanding of financial sustainability.

Dr. Gao and Dr. Teshome had no financial conflicts to disclose.

Medicare reimbursement for common breast cancer surgeries decreased significantly over the past two decades, and the resulting shortage of funds could affect quality of care and access to services, especially for vulnerable patient populations.

These were findings of new research presented by Terry P. Gao, MD, at the American Society of Breast Surgeons annual meeting.

Medicare reimbursements often set a benchmark that is followed by private insurers, and the impact of changes on various breast surgeries have not been examined, Dr. Gao, a research resident at Temple University Hospital, Philadelphia, said during a press briefing in advance of the meeting.

“This study is important because it is the first to analyze trends in Medicare reimbursement for breast cancer surgery over a long period,” Dr. Gao said during an interview. The findings highlight a critical issue that could impact access to quality care, especially for vulnerable populations, she said.
 

How Were the Data Analyzed?

Dr. Gao and colleagues reviewed percent changes in reimbursement procedures over a 20-year period and compared them to changes in the consumer price index (CPI) to show the real-life impact of inflation.

The study examined reimbursements based on the Medicare Physician Fee Schedule Look-Up Tool from 2003 to 2023 for 10 procedures. The procedures were core needle biopsy, open incisional breast biopsy, open excisional breast biopsy, lumpectomy, lumpectomy with axillary lymph node dissection (ALND), simple mastectomy, radical mastectomy, modified radical mastectomy, biopsy/removal of lymph nodes, and sentinel lymph node biopsy.
 

What Does the New Study Show?

“Reimbursements did not keep pace with the price of goods and services,” Dr. Gao said during the press briefing.

After the researchers corrected data for inflation, the overall mean Medicare reimbursement for breast cancer surgeries decreased by approximately 21%, based in part on the 69% increase in the CPI over the study period, Dr. Gao said. The greatest change was in core needle biopsy, for which reimbursement decreased by 36%.

After inflation adjustment, reimbursement increases were seen for only two procedures, lumpectomy and simple mastectomy, of 0.37% and 3.58%, respectively, but these do not represent meaningful gains, Dr. Gao said.

The researchers also used a model to estimate the real-life impact of decreased reimbursement on clinicians. They subtracted the actual 2023 compensation from expected 2023 compensation based on inflation for a breast cancer case incidence of 297,790 patients who underwent axillary surgery, breast lumpectomy, or simple mastectomy. The calculated potential real-world compensation loss for that year was $107,604,444.
 

What are the Clinical Implications? 

The current study is the first to put specific numbers on the trend in declining breast cancer payments, and the findings should encourage physicians to advocate for equitable policies, Dr. Gao noted during the briefing.

The substantial decrease in inflation-adjusted reimbursement rates was significant, she said during the interview. Although the decrease reflects similar trends seen in other specialties, the magnitude is a potential cause for concern, she said.

Declining reimbursements could disproportionately hurt safety-net hospitals serving vulnerable populations by limiting their ability to invest in better care and potentially worsening existing racial disparities, Dr. Gao told this publication. “Additionally, surgeons may opt out of Medicare networks due to low rates, leading to access issues and longer wait times. Finally, these trends could discourage future generations from specializing in breast cancer surgery.”

The study findings should be considered in the context of the complex and rapidly changing clinical landscape in which breast cancer care is evolving, Mediget Teshome, MD, chief of breast surgery at UCLA Health, said during an interview.

“Surgery remains a critically important aspect to curative treatment,” Dr. Teshome said.

Surgical decision-making tailored to each patient’s goals involves coordination from a multidisciplinary team as well as skill and attention from surgeons, she added.

“This degree of specialization and nuance is not always captured in reimbursement models for breast surgery,” Dr. Teshome emphasized. The policy implications of any changes in Medicare reimbursement will be important given the American Cancer Society reports breast cancer as the most commonly diagnosed cancer in women in the United States, and as the second leading cause of cancer death in US women, she noted.
 

What Additional Research Is Needed?

Research is needed to understand how declining reimbursements affect patients’ access to care, treatment choices, and long-term outcomes, Dr. Gao said in the interview. Future studies also are needed to examine provider overhead costs, staffing structures, and profit margins to offer a more comprehensive understanding of financial sustainability.

Dr. Gao and Dr. Teshome had no financial conflicts to disclose.

Medicare reimbursement for common breast cancer surgeries decreased significantly over the past two decades, and the resulting shortage of funds could affect quality of care and access to services, especially for vulnerable patient populations.

These were findings of new research presented by Terry P. Gao, MD, at the American Society of Breast Surgeons annual meeting.

Medicare reimbursements often set a benchmark that is followed by private insurers, and the impact of changes on various breast surgeries have not been examined, Dr. Gao, a research resident at Temple University Hospital, Philadelphia, said during a press briefing in advance of the meeting.

“This study is important because it is the first to analyze trends in Medicare reimbursement for breast cancer surgery over a long period,” Dr. Gao said during an interview. The findings highlight a critical issue that could impact access to quality care, especially for vulnerable populations, she said.
 

How Were the Data Analyzed?

Dr. Gao and colleagues reviewed percent changes in reimbursement procedures over a 20-year period and compared them to changes in the consumer price index (CPI) to show the real-life impact of inflation.

The study examined reimbursements based on the Medicare Physician Fee Schedule Look-Up Tool from 2003 to 2023 for 10 procedures. The procedures were core needle biopsy, open incisional breast biopsy, open excisional breast biopsy, lumpectomy, lumpectomy with axillary lymph node dissection (ALND), simple mastectomy, radical mastectomy, modified radical mastectomy, biopsy/removal of lymph nodes, and sentinel lymph node biopsy.
 

What Does the New Study Show?

“Reimbursements did not keep pace with the price of goods and services,” Dr. Gao said during the press briefing.

After the researchers corrected data for inflation, the overall mean Medicare reimbursement for breast cancer surgeries decreased by approximately 21%, based in part on the 69% increase in the CPI over the study period, Dr. Gao said. The greatest change was in core needle biopsy, for which reimbursement decreased by 36%.

After inflation adjustment, reimbursement increases were seen for only two procedures, lumpectomy and simple mastectomy, of 0.37% and 3.58%, respectively, but these do not represent meaningful gains, Dr. Gao said.

The researchers also used a model to estimate the real-life impact of decreased reimbursement on clinicians. They subtracted the actual 2023 compensation from expected 2023 compensation based on inflation for a breast cancer case incidence of 297,790 patients who underwent axillary surgery, breast lumpectomy, or simple mastectomy. The calculated potential real-world compensation loss for that year was $107,604,444.
 

What are the Clinical Implications? 

The current study is the first to put specific numbers on the trend in declining breast cancer payments, and the findings should encourage physicians to advocate for equitable policies, Dr. Gao noted during the briefing.

The substantial decrease in inflation-adjusted reimbursement rates was significant, she said during the interview. Although the decrease reflects similar trends seen in other specialties, the magnitude is a potential cause for concern, she said.

Declining reimbursements could disproportionately hurt safety-net hospitals serving vulnerable populations by limiting their ability to invest in better care and potentially worsening existing racial disparities, Dr. Gao told this publication. “Additionally, surgeons may opt out of Medicare networks due to low rates, leading to access issues and longer wait times. Finally, these trends could discourage future generations from specializing in breast cancer surgery.”

The study findings should be considered in the context of the complex and rapidly changing clinical landscape in which breast cancer care is evolving, Mediget Teshome, MD, chief of breast surgery at UCLA Health, said during an interview.

“Surgery remains a critically important aspect to curative treatment,” Dr. Teshome said.

Surgical decision-making tailored to each patient’s goals involves coordination from a multidisciplinary team as well as skill and attention from surgeons, she added.

“This degree of specialization and nuance is not always captured in reimbursement models for breast surgery,” Dr. Teshome emphasized. The policy implications of any changes in Medicare reimbursement will be important given the American Cancer Society reports breast cancer as the most commonly diagnosed cancer in women in the United States, and as the second leading cause of cancer death in US women, she noted.
 

What Additional Research Is Needed?

Research is needed to understand how declining reimbursements affect patients’ access to care, treatment choices, and long-term outcomes, Dr. Gao said in the interview. Future studies also are needed to examine provider overhead costs, staffing structures, and profit margins to offer a more comprehensive understanding of financial sustainability.

Dr. Gao and Dr. Teshome had no financial conflicts to disclose.