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Syphilis Treatment Falls Short for Pregnant Patients
Approximately one third of pregnant individuals with syphilis were inadequately treated or not treated for syphilis despite receiving timely prenatal care, based on data from nearly 1500 patients.
Although congenital syphilis is preventable with treatment before or early in pregnancy, data from the Centers for Disease Control and Prevention (CDC) show a doubling of syphilis rates in the United States between 2018 and 2021 wrote Ayzsa Tannis, MPH, of the Centers for Disease Control and Prevention, Atlanta, and colleagues.
To better understand factors contributing to inadequate syphilis treatment during pregnancy, the researchers examined data from 1476 individuals with syphilis during pregnancy. The study population came from six jurisdictions that participated in the Surveillance for Emerging Threats to Pregnant People and Infants Network, and sources included case investigations, medical records, and links between laboratory data and vital records.
The researchers characterized the status of syphilis during pregnancy as adequate, inadequate, or not treated based on the CDC’s Sexually Transmitted Infections Treatment Guidelines, 2021. Prenatal care was defined as timely (at least 30 days prior to pregnancy outcome), nontimely (less than 30 days before pregnancy outcome), and no prenatal care. The findings were published in Obstetrics & Gynecology.
Of the 1476 individuals studied, 855 (57.9%) were adequately treated for syphilis and 621 (42.1%) were inadequately or not treated.
Overall, 82% of the study population received timely prenatal care. However, 32.1% of those who received timely prenatal care were inadequately treated, including 14.8% who received no syphilis treatment. Individuals with nontimely or no prenatal care were significantly more likely to receive inadequate or no treatment for syphilis than those who received timely care (risk ratio, 2.50 and 2.73, respectively).
The findings were consistent with previous studies of missed opportunities for prevention and treatment, the researchers noted. Factors behind nontimely treatment (less than 30 days before pregnancy outcome) may include intermittent shortages of benzathine penicillin G, the standard treatment for syphilis, as well as the lack of time and administrative support for clinicians to communicate with patients and health departments, and to expedite treatment, the researchers wrote.
The results were limited by several factors including the use of data from six US jurisdictions that may not generalize to other areas, the variations in reporting years for the different jurisdictions, and variation in mandates for syphilis screening during pregnancy, the researchers noted.
More research is needed to improve syphilis testing itself, and to develop more treatment options, the researchers concluded. Partnerships among public health, patient advocacy groups, prenatal care clinicians, and other clinicians outside the prenatal care setting also are needed for effective intervention in pregnant individuals with syphilis, they said.
The study was carried out as part of the regular work of the CDC, supported by the Epidemiology and Laboratory Capacity for Prevention and Control of Emerging Infectious Diseases Cooperative Agreement and through contractual mechanisms including the Local Health Department Initiative to Chickasaw Health Consulting. The researchers had no financial conflicts to disclose.
Approximately one third of pregnant individuals with syphilis were inadequately treated or not treated for syphilis despite receiving timely prenatal care, based on data from nearly 1500 patients.
Although congenital syphilis is preventable with treatment before or early in pregnancy, data from the Centers for Disease Control and Prevention (CDC) show a doubling of syphilis rates in the United States between 2018 and 2021 wrote Ayzsa Tannis, MPH, of the Centers for Disease Control and Prevention, Atlanta, and colleagues.
To better understand factors contributing to inadequate syphilis treatment during pregnancy, the researchers examined data from 1476 individuals with syphilis during pregnancy. The study population came from six jurisdictions that participated in the Surveillance for Emerging Threats to Pregnant People and Infants Network, and sources included case investigations, medical records, and links between laboratory data and vital records.
The researchers characterized the status of syphilis during pregnancy as adequate, inadequate, or not treated based on the CDC’s Sexually Transmitted Infections Treatment Guidelines, 2021. Prenatal care was defined as timely (at least 30 days prior to pregnancy outcome), nontimely (less than 30 days before pregnancy outcome), and no prenatal care. The findings were published in Obstetrics & Gynecology.
Of the 1476 individuals studied, 855 (57.9%) were adequately treated for syphilis and 621 (42.1%) were inadequately or not treated.
Overall, 82% of the study population received timely prenatal care. However, 32.1% of those who received timely prenatal care were inadequately treated, including 14.8% who received no syphilis treatment. Individuals with nontimely or no prenatal care were significantly more likely to receive inadequate or no treatment for syphilis than those who received timely care (risk ratio, 2.50 and 2.73, respectively).
The findings were consistent with previous studies of missed opportunities for prevention and treatment, the researchers noted. Factors behind nontimely treatment (less than 30 days before pregnancy outcome) may include intermittent shortages of benzathine penicillin G, the standard treatment for syphilis, as well as the lack of time and administrative support for clinicians to communicate with patients and health departments, and to expedite treatment, the researchers wrote.
The results were limited by several factors including the use of data from six US jurisdictions that may not generalize to other areas, the variations in reporting years for the different jurisdictions, and variation in mandates for syphilis screening during pregnancy, the researchers noted.
More research is needed to improve syphilis testing itself, and to develop more treatment options, the researchers concluded. Partnerships among public health, patient advocacy groups, prenatal care clinicians, and other clinicians outside the prenatal care setting also are needed for effective intervention in pregnant individuals with syphilis, they said.
The study was carried out as part of the regular work of the CDC, supported by the Epidemiology and Laboratory Capacity for Prevention and Control of Emerging Infectious Diseases Cooperative Agreement and through contractual mechanisms including the Local Health Department Initiative to Chickasaw Health Consulting. The researchers had no financial conflicts to disclose.
Approximately one third of pregnant individuals with syphilis were inadequately treated or not treated for syphilis despite receiving timely prenatal care, based on data from nearly 1500 patients.
Although congenital syphilis is preventable with treatment before or early in pregnancy, data from the Centers for Disease Control and Prevention (CDC) show a doubling of syphilis rates in the United States between 2018 and 2021 wrote Ayzsa Tannis, MPH, of the Centers for Disease Control and Prevention, Atlanta, and colleagues.
To better understand factors contributing to inadequate syphilis treatment during pregnancy, the researchers examined data from 1476 individuals with syphilis during pregnancy. The study population came from six jurisdictions that participated in the Surveillance for Emerging Threats to Pregnant People and Infants Network, and sources included case investigations, medical records, and links between laboratory data and vital records.
The researchers characterized the status of syphilis during pregnancy as adequate, inadequate, or not treated based on the CDC’s Sexually Transmitted Infections Treatment Guidelines, 2021. Prenatal care was defined as timely (at least 30 days prior to pregnancy outcome), nontimely (less than 30 days before pregnancy outcome), and no prenatal care. The findings were published in Obstetrics & Gynecology.
Of the 1476 individuals studied, 855 (57.9%) were adequately treated for syphilis and 621 (42.1%) were inadequately or not treated.
Overall, 82% of the study population received timely prenatal care. However, 32.1% of those who received timely prenatal care were inadequately treated, including 14.8% who received no syphilis treatment. Individuals with nontimely or no prenatal care were significantly more likely to receive inadequate or no treatment for syphilis than those who received timely care (risk ratio, 2.50 and 2.73, respectively).
The findings were consistent with previous studies of missed opportunities for prevention and treatment, the researchers noted. Factors behind nontimely treatment (less than 30 days before pregnancy outcome) may include intermittent shortages of benzathine penicillin G, the standard treatment for syphilis, as well as the lack of time and administrative support for clinicians to communicate with patients and health departments, and to expedite treatment, the researchers wrote.
The results were limited by several factors including the use of data from six US jurisdictions that may not generalize to other areas, the variations in reporting years for the different jurisdictions, and variation in mandates for syphilis screening during pregnancy, the researchers noted.
More research is needed to improve syphilis testing itself, and to develop more treatment options, the researchers concluded. Partnerships among public health, patient advocacy groups, prenatal care clinicians, and other clinicians outside the prenatal care setting also are needed for effective intervention in pregnant individuals with syphilis, they said.
The study was carried out as part of the regular work of the CDC, supported by the Epidemiology and Laboratory Capacity for Prevention and Control of Emerging Infectious Diseases Cooperative Agreement and through contractual mechanisms including the Local Health Department Initiative to Chickasaw Health Consulting. The researchers had no financial conflicts to disclose.
FROM OBSTETRICS & GYNECOLOGY
Federal Trade Commission Bans Noncompete Agreements, Urges More Protections for Healthcare Workers
But business groups have vowed to challenge the decision in court.
The proposed final rule passed on a 3-2 vote, with the dissenting commissioners disputing the FTC’s authority to broadly ban noncompetes.
Tensions around noncompetes have been building for years. In 2021, President Biden issued an executive order supporting measures to improve economic competition, in which he urged the FTC to consider its rulemaking authority to address noncompete clauses that unfairly limit workers’ mobility. In January 2023, per that directive, the agency proposed ending the restrictive covenants.
While the FTC estimates that the final rule will reduce healthcare costs by up to $194 billion over the next decade and increase worker earnings by $300 million annually, the ruling faces legal hurdles.
US Chamber of Commerce president and CEO Suzanne P. Clark said in a statement that the move is a “blatant power grab” that will undermine competitive business practices, adding that the Chamber will sue to block the measure.
The FTC received more than 26,000 comments on noncompetes during the public feedback period, with about 25,000 supporting the measure, said Benjamin Cady, JD, an FTC attorney.
Mr. Cady called the feedback “compelling,” citing instances of workers who were forced to commute long distances, uproot their families, or risk expensive litigation for wanting to pursue job opportunities.
For example, a comment from a physician working in Appalachia highlights the potential real-life implications of the agreements. “With hospital systems merging, providers with aggressive noncompetes must abandon the community that they serve if they [choose] to leave their employer. Healthcare providers feel trapped in their current employment situation, leading to significant burnout that can shorten their [career] longevity.”
Commissioner Alvaro Bedoya said physicians have had their lives upended by cumbersome noncompetes, often having to move out of state to practice. “A pandemic killed a million people in this country, and there are doctors who cannot work because of a noncompete,” he said.
It’s unclear whether physicians and others who work for nonprofit healthcare groups or hospitals will be covered by the new ban. FTC Commissioner Rebecca Slaughter acknowledged that the agency’s jurisdictional limitations mean that employees of “certain nonprofit organizations” may not benefit from the rule.
“We want to be transparent about the limitation and recognize there are workers, especially healthcare workers, who are bound by anticompetitive and unfair noncompete clauses, that our rule will struggle to reach,” she said. To cover nonprofit healthcare employees, Ms. Slaughter urged Congress to pass legislation banning noncompetes, such as the Workforce Mobility Act of 2021 and the Freedom to Compete Act of 2023.
The FTC final rule will take effect 120 days after it is published in the federal register, and new noncompete agreements will be banned as of this date. However, existing contracts for senior executives will remain in effect because these individuals are less likely to experience “acute harm” due to their ability to negotiate accordingly, said Mr. Cady.
States, AMA Take Aim at Noncompetes
Before the federal ban, several states had already passed legislation limiting the reach of noncompetes. According to a recent article in the Journal of the American College of Cardiology, 12 states prohibit noncompete clauses for physicians: Alabama, California, Colorado, Delaware, Massachusetts, Montana, New Hampshire, New Mexico, North Dakota, Oklahoma, Rhode Island, and South Dakota.
The remaining states allow noncompetes in some form, often excluding them for employees earning below a certain threshold. For example, in Oregon, noncompete agreements may apply to employees earning more than $113,241. Most states have provisions to adjust the threshold annually. The District of Columbia permits 2-year noncompetes for “medical specialists” earning over $250,000 annually.
Indiana employers can no longer enter into noncompete agreements with primary care providers. Other specialties may be subject to the clauses, except when the physician terminates the contract for cause or when an employer terminates the contract without cause.
Rachel Marcus, MD, a cardiologist in Washington, DC, found out how limiting her employment contract’s noncompete clause was when she wanted to leave a former position. Due to the restrictions, she told this news organization that she couldn’t work locally for a competitor for 2 years. The closest location she could seek employment without violating the agreement was Baltimore, approximately 40 miles away.
Dr. Marcus ultimately moved to another position within the same organization because of the company’s reputation for being “aggressive” in their enforcement actions.
Although the American Medical Association (AMA) does not support a total ban, its House of Delegates adopted policies last year to support the prohibition of noncompete contracts for physicians employed by for-profit or nonprofit hospitals, hospital systems, or staffing companies.
Challenges Await
The American Hospital Association, which opposed the proposed rule, called it “bad policy.” The decision “will likely be short-lived, with courts almost certain to stop it before it can do damage to hospitals’ ability to care for their patients and communities,” the association said in a statement.
To ease the transition to the new rule, the FTC also released a model language for employers to use when discussing the changes with their employees. “All employers need to do to comply with the rule is to stop enforcing existing noncompetes with workers other than senior executives and provide notice to such workers,” he said.
Dr. Marcus hopes the ban improves doctors’ lives. “Your employer is going to have to treat you better because they know that you can easily go across town to a place that has a higher salary, and your patient can go with you.”
A version of this article appeared on Medscape.com.
But business groups have vowed to challenge the decision in court.
The proposed final rule passed on a 3-2 vote, with the dissenting commissioners disputing the FTC’s authority to broadly ban noncompetes.
Tensions around noncompetes have been building for years. In 2021, President Biden issued an executive order supporting measures to improve economic competition, in which he urged the FTC to consider its rulemaking authority to address noncompete clauses that unfairly limit workers’ mobility. In January 2023, per that directive, the agency proposed ending the restrictive covenants.
While the FTC estimates that the final rule will reduce healthcare costs by up to $194 billion over the next decade and increase worker earnings by $300 million annually, the ruling faces legal hurdles.
US Chamber of Commerce president and CEO Suzanne P. Clark said in a statement that the move is a “blatant power grab” that will undermine competitive business practices, adding that the Chamber will sue to block the measure.
The FTC received more than 26,000 comments on noncompetes during the public feedback period, with about 25,000 supporting the measure, said Benjamin Cady, JD, an FTC attorney.
Mr. Cady called the feedback “compelling,” citing instances of workers who were forced to commute long distances, uproot their families, or risk expensive litigation for wanting to pursue job opportunities.
For example, a comment from a physician working in Appalachia highlights the potential real-life implications of the agreements. “With hospital systems merging, providers with aggressive noncompetes must abandon the community that they serve if they [choose] to leave their employer. Healthcare providers feel trapped in their current employment situation, leading to significant burnout that can shorten their [career] longevity.”
Commissioner Alvaro Bedoya said physicians have had their lives upended by cumbersome noncompetes, often having to move out of state to practice. “A pandemic killed a million people in this country, and there are doctors who cannot work because of a noncompete,” he said.
It’s unclear whether physicians and others who work for nonprofit healthcare groups or hospitals will be covered by the new ban. FTC Commissioner Rebecca Slaughter acknowledged that the agency’s jurisdictional limitations mean that employees of “certain nonprofit organizations” may not benefit from the rule.
“We want to be transparent about the limitation and recognize there are workers, especially healthcare workers, who are bound by anticompetitive and unfair noncompete clauses, that our rule will struggle to reach,” she said. To cover nonprofit healthcare employees, Ms. Slaughter urged Congress to pass legislation banning noncompetes, such as the Workforce Mobility Act of 2021 and the Freedom to Compete Act of 2023.
The FTC final rule will take effect 120 days after it is published in the federal register, and new noncompete agreements will be banned as of this date. However, existing contracts for senior executives will remain in effect because these individuals are less likely to experience “acute harm” due to their ability to negotiate accordingly, said Mr. Cady.
States, AMA Take Aim at Noncompetes
Before the federal ban, several states had already passed legislation limiting the reach of noncompetes. According to a recent article in the Journal of the American College of Cardiology, 12 states prohibit noncompete clauses for physicians: Alabama, California, Colorado, Delaware, Massachusetts, Montana, New Hampshire, New Mexico, North Dakota, Oklahoma, Rhode Island, and South Dakota.
The remaining states allow noncompetes in some form, often excluding them for employees earning below a certain threshold. For example, in Oregon, noncompete agreements may apply to employees earning more than $113,241. Most states have provisions to adjust the threshold annually. The District of Columbia permits 2-year noncompetes for “medical specialists” earning over $250,000 annually.
Indiana employers can no longer enter into noncompete agreements with primary care providers. Other specialties may be subject to the clauses, except when the physician terminates the contract for cause or when an employer terminates the contract without cause.
Rachel Marcus, MD, a cardiologist in Washington, DC, found out how limiting her employment contract’s noncompete clause was when she wanted to leave a former position. Due to the restrictions, she told this news organization that she couldn’t work locally for a competitor for 2 years. The closest location she could seek employment without violating the agreement was Baltimore, approximately 40 miles away.
Dr. Marcus ultimately moved to another position within the same organization because of the company’s reputation for being “aggressive” in their enforcement actions.
Although the American Medical Association (AMA) does not support a total ban, its House of Delegates adopted policies last year to support the prohibition of noncompete contracts for physicians employed by for-profit or nonprofit hospitals, hospital systems, or staffing companies.
Challenges Await
The American Hospital Association, which opposed the proposed rule, called it “bad policy.” The decision “will likely be short-lived, with courts almost certain to stop it before it can do damage to hospitals’ ability to care for their patients and communities,” the association said in a statement.
To ease the transition to the new rule, the FTC also released a model language for employers to use when discussing the changes with their employees. “All employers need to do to comply with the rule is to stop enforcing existing noncompetes with workers other than senior executives and provide notice to such workers,” he said.
Dr. Marcus hopes the ban improves doctors’ lives. “Your employer is going to have to treat you better because they know that you can easily go across town to a place that has a higher salary, and your patient can go with you.”
A version of this article appeared on Medscape.com.
But business groups have vowed to challenge the decision in court.
The proposed final rule passed on a 3-2 vote, with the dissenting commissioners disputing the FTC’s authority to broadly ban noncompetes.
Tensions around noncompetes have been building for years. In 2021, President Biden issued an executive order supporting measures to improve economic competition, in which he urged the FTC to consider its rulemaking authority to address noncompete clauses that unfairly limit workers’ mobility. In January 2023, per that directive, the agency proposed ending the restrictive covenants.
While the FTC estimates that the final rule will reduce healthcare costs by up to $194 billion over the next decade and increase worker earnings by $300 million annually, the ruling faces legal hurdles.
US Chamber of Commerce president and CEO Suzanne P. Clark said in a statement that the move is a “blatant power grab” that will undermine competitive business practices, adding that the Chamber will sue to block the measure.
The FTC received more than 26,000 comments on noncompetes during the public feedback period, with about 25,000 supporting the measure, said Benjamin Cady, JD, an FTC attorney.
Mr. Cady called the feedback “compelling,” citing instances of workers who were forced to commute long distances, uproot their families, or risk expensive litigation for wanting to pursue job opportunities.
For example, a comment from a physician working in Appalachia highlights the potential real-life implications of the agreements. “With hospital systems merging, providers with aggressive noncompetes must abandon the community that they serve if they [choose] to leave their employer. Healthcare providers feel trapped in their current employment situation, leading to significant burnout that can shorten their [career] longevity.”
Commissioner Alvaro Bedoya said physicians have had their lives upended by cumbersome noncompetes, often having to move out of state to practice. “A pandemic killed a million people in this country, and there are doctors who cannot work because of a noncompete,” he said.
It’s unclear whether physicians and others who work for nonprofit healthcare groups or hospitals will be covered by the new ban. FTC Commissioner Rebecca Slaughter acknowledged that the agency’s jurisdictional limitations mean that employees of “certain nonprofit organizations” may not benefit from the rule.
“We want to be transparent about the limitation and recognize there are workers, especially healthcare workers, who are bound by anticompetitive and unfair noncompete clauses, that our rule will struggle to reach,” she said. To cover nonprofit healthcare employees, Ms. Slaughter urged Congress to pass legislation banning noncompetes, such as the Workforce Mobility Act of 2021 and the Freedom to Compete Act of 2023.
The FTC final rule will take effect 120 days after it is published in the federal register, and new noncompete agreements will be banned as of this date. However, existing contracts for senior executives will remain in effect because these individuals are less likely to experience “acute harm” due to their ability to negotiate accordingly, said Mr. Cady.
States, AMA Take Aim at Noncompetes
Before the federal ban, several states had already passed legislation limiting the reach of noncompetes. According to a recent article in the Journal of the American College of Cardiology, 12 states prohibit noncompete clauses for physicians: Alabama, California, Colorado, Delaware, Massachusetts, Montana, New Hampshire, New Mexico, North Dakota, Oklahoma, Rhode Island, and South Dakota.
The remaining states allow noncompetes in some form, often excluding them for employees earning below a certain threshold. For example, in Oregon, noncompete agreements may apply to employees earning more than $113,241. Most states have provisions to adjust the threshold annually. The District of Columbia permits 2-year noncompetes for “medical specialists” earning over $250,000 annually.
Indiana employers can no longer enter into noncompete agreements with primary care providers. Other specialties may be subject to the clauses, except when the physician terminates the contract for cause or when an employer terminates the contract without cause.
Rachel Marcus, MD, a cardiologist in Washington, DC, found out how limiting her employment contract’s noncompete clause was when she wanted to leave a former position. Due to the restrictions, she told this news organization that she couldn’t work locally for a competitor for 2 years. The closest location she could seek employment without violating the agreement was Baltimore, approximately 40 miles away.
Dr. Marcus ultimately moved to another position within the same organization because of the company’s reputation for being “aggressive” in their enforcement actions.
Although the American Medical Association (AMA) does not support a total ban, its House of Delegates adopted policies last year to support the prohibition of noncompete contracts for physicians employed by for-profit or nonprofit hospitals, hospital systems, or staffing companies.
Challenges Await
The American Hospital Association, which opposed the proposed rule, called it “bad policy.” The decision “will likely be short-lived, with courts almost certain to stop it before it can do damage to hospitals’ ability to care for their patients and communities,” the association said in a statement.
To ease the transition to the new rule, the FTC also released a model language for employers to use when discussing the changes with their employees. “All employers need to do to comply with the rule is to stop enforcing existing noncompetes with workers other than senior executives and provide notice to such workers,” he said.
Dr. Marcus hopes the ban improves doctors’ lives. “Your employer is going to have to treat you better because they know that you can easily go across town to a place that has a higher salary, and your patient can go with you.”
A version of this article appeared on Medscape.com.
Are Women Better Doctors Than Men?
This transcript has been edited for clarity.
It’s a battle of the sexes today as we dive into a paper that makes you say, “Wow, what an interesting study” and also “Boy, am I glad I didn’t do that study.” That’s because studies like this are always somewhat fraught; they say something about medicine but also something about society — and that makes this a bit precarious. But that’s never stopped us before. So, let’s go ahead and try to answer the question: Do women make better doctors than men?
On the surface, this question seems nearly impossible to answer. It’s too broad; what does it mean to be a “better” doctor? At first blush it seems that there are just too many variables to control for here: the type of doctor, the type of patient, the clinical scenario, and so on.
But this study, “Comparison of hospital mortality and readmission rates by physician and patient sex,” which appears in Annals of Internal Medicine, uses a fairly ingenious method to cut through all the bias by leveraging two simple facts: First, hospital medicine is largely conducted by hospitalists these days; second, due to the shift-based nature of hospitalist work, the hospitalist you get when you are admitted to the hospital is pretty much random.
In other words, if you are admitted to the hospital for an acute illness and get a hospitalist as your attending, you have no control over whether it is a man or a woman. Is this a randomized trial? No, but it’s not bad.
Researchers used Medicare claims data to identify adults over age 65 who had nonelective hospital admissions throughout the United States. The claims revealed the sex of the patient and the name of the attending physician. By linking to a medical provider database, they could determine the sex of the provider.
The goal was to look at outcomes across four dyads:
- Male patient – male doctor
- Male patient – female doctor
- Female patient – male doctor
- Female patient – female doctor
The primary outcome was 30-day mortality.
I told you that focusing on hospitalists produces some pseudorandomization, but let’s look at the data to be sure. Just under a million patients were treated by approximately 50,000 physicians, 30% of whom were female. And, though female patients and male patients differed, they did not differ with respect to the sex of their hospitalist. So, by physician sex, patients were similar in mean age, race, ethnicity, household income, eligibility for Medicaid, and comorbid conditions. The authors even created a “predicted mortality” score which was similar across the groups as well.
Now, the female physicians were a bit different from the male physicians. The female hospitalists were slightly more likely to have an osteopathic degree, had slightly fewer admissions per year, and were a bit younger.
So, we have broadly similar patients regardless of who their hospitalist was, but hospitalists differ by factors other than their sex. Fine.
I’ve graphed the results here.
This is a relatively small effect, to be sure, but if you multiply it across the millions of hospitalist admissions per year, you can start to put up some real numbers.
So, what is going on here? I see four broad buckets of possibilities.
Let’s start with the obvious explanation: Women, on average, are better doctors than men. I am married to a woman doctor, and based on my personal experience, this explanation is undoubtedly true. But why would that be?
The authors cite data that suggest that female physicians are less likely than male physicians to dismiss patient concerns — and in particular, the concerns of female patients — perhaps leading to fewer missed diagnoses. But this is impossible to measure with administrative data, so this study can no more tell us whether these female hospitalists are more attentive than their male counterparts than it can suggest that the benefit is mediated by the shorter average height of female physicians. Perhaps the key is being closer to the patient?
The second possibility here is that this has nothing to do with the sex of the physician at all; it has to do with those other things that associate with the sex of the physician. We know, for example, that the female physicians saw fewer patients per year than the male physicians, but the study authors adjusted for this in the statistical models. Still, other unmeasured factors (confounders) could be present. By the way, confounders wouldn’t necessarily change the primary finding — you are better off being cared for by female physicians. It’s just not because they are female; it’s a convenient marker for some other quality, such as age.
The third possibility is that the study represents a phenomenon called collider bias. The idea here is that physicians only get into the study if they are hospitalists, and the quality of physicians who choose to become a hospitalist may differ by sex. When deciding on a specialty, a talented resident considering certain lifestyle issues may find hospital medicine particularly attractive — and that draw toward a more lifestyle-friendly specialty may differ by sex, as some prior studies have shown. If true, the pool of women hospitalists may be better than their male counterparts because male physicians of that caliber don’t become hospitalists.
Okay, don’t write in. I’m just trying to cite examples of how to think about collider bias. I can’t prove that this is the case, and in fact the authors do a sensitivity analysis of all physicians, not just hospitalists, and show the same thing. So this is probably not true, but epidemiology is fun, right?
And the fourth possibility: This is nothing but statistical noise. The effect size is incredibly small and just on the border of statistical significance. Especially when you’re working with very large datasets like this, you’ve got to be really careful about overinterpreting statistically significant findings that are nevertheless of small magnitude.
Regardless, it’s an interesting study, one that made me think and, of course, worry a bit about how I would present it. Forgive me if I’ve been indelicate in handling the complex issues of sex, gender, and society here. But I’m not sure what you expect; after all, I’m only a male doctor.
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.
It’s a battle of the sexes today as we dive into a paper that makes you say, “Wow, what an interesting study” and also “Boy, am I glad I didn’t do that study.” That’s because studies like this are always somewhat fraught; they say something about medicine but also something about society — and that makes this a bit precarious. But that’s never stopped us before. So, let’s go ahead and try to answer the question: Do women make better doctors than men?
On the surface, this question seems nearly impossible to answer. It’s too broad; what does it mean to be a “better” doctor? At first blush it seems that there are just too many variables to control for here: the type of doctor, the type of patient, the clinical scenario, and so on.
But this study, “Comparison of hospital mortality and readmission rates by physician and patient sex,” which appears in Annals of Internal Medicine, uses a fairly ingenious method to cut through all the bias by leveraging two simple facts: First, hospital medicine is largely conducted by hospitalists these days; second, due to the shift-based nature of hospitalist work, the hospitalist you get when you are admitted to the hospital is pretty much random.
In other words, if you are admitted to the hospital for an acute illness and get a hospitalist as your attending, you have no control over whether it is a man or a woman. Is this a randomized trial? No, but it’s not bad.
Researchers used Medicare claims data to identify adults over age 65 who had nonelective hospital admissions throughout the United States. The claims revealed the sex of the patient and the name of the attending physician. By linking to a medical provider database, they could determine the sex of the provider.
The goal was to look at outcomes across four dyads:
- Male patient – male doctor
- Male patient – female doctor
- Female patient – male doctor
- Female patient – female doctor
The primary outcome was 30-day mortality.
I told you that focusing on hospitalists produces some pseudorandomization, but let’s look at the data to be sure. Just under a million patients were treated by approximately 50,000 physicians, 30% of whom were female. And, though female patients and male patients differed, they did not differ with respect to the sex of their hospitalist. So, by physician sex, patients were similar in mean age, race, ethnicity, household income, eligibility for Medicaid, and comorbid conditions. The authors even created a “predicted mortality” score which was similar across the groups as well.
Now, the female physicians were a bit different from the male physicians. The female hospitalists were slightly more likely to have an osteopathic degree, had slightly fewer admissions per year, and were a bit younger.
So, we have broadly similar patients regardless of who their hospitalist was, but hospitalists differ by factors other than their sex. Fine.
I’ve graphed the results here.
This is a relatively small effect, to be sure, but if you multiply it across the millions of hospitalist admissions per year, you can start to put up some real numbers.
So, what is going on here? I see four broad buckets of possibilities.
Let’s start with the obvious explanation: Women, on average, are better doctors than men. I am married to a woman doctor, and based on my personal experience, this explanation is undoubtedly true. But why would that be?
The authors cite data that suggest that female physicians are less likely than male physicians to dismiss patient concerns — and in particular, the concerns of female patients — perhaps leading to fewer missed diagnoses. But this is impossible to measure with administrative data, so this study can no more tell us whether these female hospitalists are more attentive than their male counterparts than it can suggest that the benefit is mediated by the shorter average height of female physicians. Perhaps the key is being closer to the patient?
The second possibility here is that this has nothing to do with the sex of the physician at all; it has to do with those other things that associate with the sex of the physician. We know, for example, that the female physicians saw fewer patients per year than the male physicians, but the study authors adjusted for this in the statistical models. Still, other unmeasured factors (confounders) could be present. By the way, confounders wouldn’t necessarily change the primary finding — you are better off being cared for by female physicians. It’s just not because they are female; it’s a convenient marker for some other quality, such as age.
The third possibility is that the study represents a phenomenon called collider bias. The idea here is that physicians only get into the study if they are hospitalists, and the quality of physicians who choose to become a hospitalist may differ by sex. When deciding on a specialty, a talented resident considering certain lifestyle issues may find hospital medicine particularly attractive — and that draw toward a more lifestyle-friendly specialty may differ by sex, as some prior studies have shown. If true, the pool of women hospitalists may be better than their male counterparts because male physicians of that caliber don’t become hospitalists.
Okay, don’t write in. I’m just trying to cite examples of how to think about collider bias. I can’t prove that this is the case, and in fact the authors do a sensitivity analysis of all physicians, not just hospitalists, and show the same thing. So this is probably not true, but epidemiology is fun, right?
And the fourth possibility: This is nothing but statistical noise. The effect size is incredibly small and just on the border of statistical significance. Especially when you’re working with very large datasets like this, you’ve got to be really careful about overinterpreting statistically significant findings that are nevertheless of small magnitude.
Regardless, it’s an interesting study, one that made me think and, of course, worry a bit about how I would present it. Forgive me if I’ve been indelicate in handling the complex issues of sex, gender, and society here. But I’m not sure what you expect; after all, I’m only a male doctor.
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.
It’s a battle of the sexes today as we dive into a paper that makes you say, “Wow, what an interesting study” and also “Boy, am I glad I didn’t do that study.” That’s because studies like this are always somewhat fraught; they say something about medicine but also something about society — and that makes this a bit precarious. But that’s never stopped us before. So, let’s go ahead and try to answer the question: Do women make better doctors than men?
On the surface, this question seems nearly impossible to answer. It’s too broad; what does it mean to be a “better” doctor? At first blush it seems that there are just too many variables to control for here: the type of doctor, the type of patient, the clinical scenario, and so on.
But this study, “Comparison of hospital mortality and readmission rates by physician and patient sex,” which appears in Annals of Internal Medicine, uses a fairly ingenious method to cut through all the bias by leveraging two simple facts: First, hospital medicine is largely conducted by hospitalists these days; second, due to the shift-based nature of hospitalist work, the hospitalist you get when you are admitted to the hospital is pretty much random.
In other words, if you are admitted to the hospital for an acute illness and get a hospitalist as your attending, you have no control over whether it is a man or a woman. Is this a randomized trial? No, but it’s not bad.
Researchers used Medicare claims data to identify adults over age 65 who had nonelective hospital admissions throughout the United States. The claims revealed the sex of the patient and the name of the attending physician. By linking to a medical provider database, they could determine the sex of the provider.
The goal was to look at outcomes across four dyads:
- Male patient – male doctor
- Male patient – female doctor
- Female patient – male doctor
- Female patient – female doctor
The primary outcome was 30-day mortality.
I told you that focusing on hospitalists produces some pseudorandomization, but let’s look at the data to be sure. Just under a million patients were treated by approximately 50,000 physicians, 30% of whom were female. And, though female patients and male patients differed, they did not differ with respect to the sex of their hospitalist. So, by physician sex, patients were similar in mean age, race, ethnicity, household income, eligibility for Medicaid, and comorbid conditions. The authors even created a “predicted mortality” score which was similar across the groups as well.
Now, the female physicians were a bit different from the male physicians. The female hospitalists were slightly more likely to have an osteopathic degree, had slightly fewer admissions per year, and were a bit younger.
So, we have broadly similar patients regardless of who their hospitalist was, but hospitalists differ by factors other than their sex. Fine.
I’ve graphed the results here.
This is a relatively small effect, to be sure, but if you multiply it across the millions of hospitalist admissions per year, you can start to put up some real numbers.
So, what is going on here? I see four broad buckets of possibilities.
Let’s start with the obvious explanation: Women, on average, are better doctors than men. I am married to a woman doctor, and based on my personal experience, this explanation is undoubtedly true. But why would that be?
The authors cite data that suggest that female physicians are less likely than male physicians to dismiss patient concerns — and in particular, the concerns of female patients — perhaps leading to fewer missed diagnoses. But this is impossible to measure with administrative data, so this study can no more tell us whether these female hospitalists are more attentive than their male counterparts than it can suggest that the benefit is mediated by the shorter average height of female physicians. Perhaps the key is being closer to the patient?
The second possibility here is that this has nothing to do with the sex of the physician at all; it has to do with those other things that associate with the sex of the physician. We know, for example, that the female physicians saw fewer patients per year than the male physicians, but the study authors adjusted for this in the statistical models. Still, other unmeasured factors (confounders) could be present. By the way, confounders wouldn’t necessarily change the primary finding — you are better off being cared for by female physicians. It’s just not because they are female; it’s a convenient marker for some other quality, such as age.
The third possibility is that the study represents a phenomenon called collider bias. The idea here is that physicians only get into the study if they are hospitalists, and the quality of physicians who choose to become a hospitalist may differ by sex. When deciding on a specialty, a talented resident considering certain lifestyle issues may find hospital medicine particularly attractive — and that draw toward a more lifestyle-friendly specialty may differ by sex, as some prior studies have shown. If true, the pool of women hospitalists may be better than their male counterparts because male physicians of that caliber don’t become hospitalists.
Okay, don’t write in. I’m just trying to cite examples of how to think about collider bias. I can’t prove that this is the case, and in fact the authors do a sensitivity analysis of all physicians, not just hospitalists, and show the same thing. So this is probably not true, but epidemiology is fun, right?
And the fourth possibility: This is nothing but statistical noise. The effect size is incredibly small and just on the border of statistical significance. Especially when you’re working with very large datasets like this, you’ve got to be really careful about overinterpreting statistically significant findings that are nevertheless of small magnitude.
Regardless, it’s an interesting study, one that made me think and, of course, worry a bit about how I would present it. Forgive me if I’ve been indelicate in handling the complex issues of sex, gender, and society here. But I’m not sure what you expect; after all, I’m only a male doctor.
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.
Menopause, RSV, and More: 4 New Meds to Know
BOSTON — The US Food and Drug Administration (FDA) approved 55 new medications in 2023 and 11 more in 2024 to date.
A New First-Line for GERD?
Vonoprazan, an oral potassium-competitive acid blocker — which received FDA approval in November 2023 — may be a good alternative for patients whose symptoms continue to linger despite taking medications designated to treat gastroesophageal reflux disease (GERD).
GERD is the most common gastrointestinal symptom encountered by primary care physicians. Proton-pump inhibitors (PPIs) are the first-line treatment for the condition but can have long-term side effects such as Clostridioides difficile infection and kidney lesions.
“We know that not all patients are going to have symptom relief with H2 blockers and PPIs, so there’s an opportunity for patients who don’t get full symptom relief,” Dr. Smetana told attendees.
Vonoprazan blocks potassium binding to ATPase proton pumps and inhibits the secretion of gastric acid.
The approval of vonoprazan for erosive GERD was based on results from the phase 3 PHALCON-EE study, a randomized, double-blind, multicenter study that found the drug to be more effective than lansoprazole in treating erosive esophagitis.
Vonoprazan “has more rapid absorption than PPIs [and a] longer half-life and is more potent than PPIs, so theoretically it could be more effective in certain settings,” Dr. Smetana said.
Vonoprazan is FDA approved for only 6 months of use. Despite its efficacy, cost may be a barrier to many patients. H2 blockers generally cost patients less than $10 for 1 month’s supply, whereas vonoprazan can cost up to $650.
Nonhormonal Drug for Menopause
Fezolinetant, the first neurokinin receptor antagonist to receive approval from the FDA to treat vasomotor symptoms, may be an option for women concerned about hormone-based therapy for menopausal hot flashes.
“[Fezolinetant] specifically works in the area of the brain that’s involved in body temperature regulation and sweating,” Dr. Smetana said.
Results from the SKYLIGHT 1 randomized controlled trial of fezolinetant found the medication reduced the frequency and severity of hot flashes. Some of the side effects include abdominal pain, diarrhea, and insomnia.
Other nonestrogen treatments, including selective serotonin reuptake inhibitors (SSRIs), gabapentin, cognitive-behavioral therapy, and hypnosis, are modestly effective, according to the North American Menopause Society.
“[Fezolinetant] offers a different option that physicians may be more comfortable prescribing,” Dr. Smetana said. “And I think this will be an important addition to nonhormonal therapy.”
RSV Vaccine for Everyone
Once considered an illness that is more prevalent in young children, respiratory syncytial virus (RSV) has become more prevalent and severe among older adults. Between 60,000 and 120,000 older adults are hospitalized and 6000-10,000 die of RSV infection each year, according to the US Centers for Disease Control and Prevention.
The FDA has approved two RSV vaccines approved for older adults, but clinicians may find it challenging to get older patients vaccinated for this and other preventable illnesses.
Patients who received the RSV vaccine had an 83% relative risk reduction for the illness, according to a recent study, and an overall lower risk for hospitalization.
Moderna is developing an mRNA vaccine for RSV that is similar to many COVID-19 vaccines. A study published in 2023 in The New England Journal of Medicine found no cases of neuroinflammatory disorders among patients who received the mRNA RSV vaccine, with a median follow-up of 112 days.
“This is important given ongoing concerns of neurological safety,” among older adults who receive the RSV vaccine, Dr. Smetana said.
As of March 2024, the CDC recommends shared decision-making for adults older than 60 years and for healthcare providers to “consider” rather than “recommend” the vaccine for their patients. The agency’s Adult RSV Work Group plans to meet at June 2024 to reconsider whether shared clinical decision-making remains the preferred policy option.
New Antidepressants
A medication thrice rejected by the FDA is now heading a new class of drugs to treat major depressive disorder.
Gepirone, a 5-HT1A receptor agonist, has a different mechanism of action from that of SSRIs, which are currently considered the first-line treatment for depression.
Gepirone was rejected by the FDA in 2002, 2004, and 2007, with concerns that the efficacy studies were too small. In 2015, an FDA advisory committee agreed that the evidence to date did not support approval of an extended-release form of the drug. But the agency decided to approve the medication in September 2023.
“So why is this medication worth discussing now?” Dr. Smetana said. “It’s because the side effect profile is different from existing antidepressants.”
Many patients may stop using SSRIs because of side effects such as insomnia and loss of libido, Dr. Smetana said. Gepirone has the potential to avoid activation of other 5-HT receptors that mediate side effects, he said.
Studies suggest that gepirone reduces both anxiety and depression scores on the Hamilton Depression Rating Scale in patients who have both conditions and decreases rates of depression relapse compared with placebo through at least 48 weeks. The drug also may be less likely than SSRIs to cause sexual dysfunction in men, Dr. Smetana said.
Gepirone will be available to prescribe to patients in fall 2024.
Dr. Smetana reported no relevant financial conflicts of interest.
A version of this article appeared on Medscape.com.
BOSTON — The US Food and Drug Administration (FDA) approved 55 new medications in 2023 and 11 more in 2024 to date.
A New First-Line for GERD?
Vonoprazan, an oral potassium-competitive acid blocker — which received FDA approval in November 2023 — may be a good alternative for patients whose symptoms continue to linger despite taking medications designated to treat gastroesophageal reflux disease (GERD).
GERD is the most common gastrointestinal symptom encountered by primary care physicians. Proton-pump inhibitors (PPIs) are the first-line treatment for the condition but can have long-term side effects such as Clostridioides difficile infection and kidney lesions.
“We know that not all patients are going to have symptom relief with H2 blockers and PPIs, so there’s an opportunity for patients who don’t get full symptom relief,” Dr. Smetana told attendees.
Vonoprazan blocks potassium binding to ATPase proton pumps and inhibits the secretion of gastric acid.
The approval of vonoprazan for erosive GERD was based on results from the phase 3 PHALCON-EE study, a randomized, double-blind, multicenter study that found the drug to be more effective than lansoprazole in treating erosive esophagitis.
Vonoprazan “has more rapid absorption than PPIs [and a] longer half-life and is more potent than PPIs, so theoretically it could be more effective in certain settings,” Dr. Smetana said.
Vonoprazan is FDA approved for only 6 months of use. Despite its efficacy, cost may be a barrier to many patients. H2 blockers generally cost patients less than $10 for 1 month’s supply, whereas vonoprazan can cost up to $650.
Nonhormonal Drug for Menopause
Fezolinetant, the first neurokinin receptor antagonist to receive approval from the FDA to treat vasomotor symptoms, may be an option for women concerned about hormone-based therapy for menopausal hot flashes.
“[Fezolinetant] specifically works in the area of the brain that’s involved in body temperature regulation and sweating,” Dr. Smetana said.
Results from the SKYLIGHT 1 randomized controlled trial of fezolinetant found the medication reduced the frequency and severity of hot flashes. Some of the side effects include abdominal pain, diarrhea, and insomnia.
Other nonestrogen treatments, including selective serotonin reuptake inhibitors (SSRIs), gabapentin, cognitive-behavioral therapy, and hypnosis, are modestly effective, according to the North American Menopause Society.
“[Fezolinetant] offers a different option that physicians may be more comfortable prescribing,” Dr. Smetana said. “And I think this will be an important addition to nonhormonal therapy.”
RSV Vaccine for Everyone
Once considered an illness that is more prevalent in young children, respiratory syncytial virus (RSV) has become more prevalent and severe among older adults. Between 60,000 and 120,000 older adults are hospitalized and 6000-10,000 die of RSV infection each year, according to the US Centers for Disease Control and Prevention.
The FDA has approved two RSV vaccines approved for older adults, but clinicians may find it challenging to get older patients vaccinated for this and other preventable illnesses.
Patients who received the RSV vaccine had an 83% relative risk reduction for the illness, according to a recent study, and an overall lower risk for hospitalization.
Moderna is developing an mRNA vaccine for RSV that is similar to many COVID-19 vaccines. A study published in 2023 in The New England Journal of Medicine found no cases of neuroinflammatory disorders among patients who received the mRNA RSV vaccine, with a median follow-up of 112 days.
“This is important given ongoing concerns of neurological safety,” among older adults who receive the RSV vaccine, Dr. Smetana said.
As of March 2024, the CDC recommends shared decision-making for adults older than 60 years and for healthcare providers to “consider” rather than “recommend” the vaccine for their patients. The agency’s Adult RSV Work Group plans to meet at June 2024 to reconsider whether shared clinical decision-making remains the preferred policy option.
New Antidepressants
A medication thrice rejected by the FDA is now heading a new class of drugs to treat major depressive disorder.
Gepirone, a 5-HT1A receptor agonist, has a different mechanism of action from that of SSRIs, which are currently considered the first-line treatment for depression.
Gepirone was rejected by the FDA in 2002, 2004, and 2007, with concerns that the efficacy studies were too small. In 2015, an FDA advisory committee agreed that the evidence to date did not support approval of an extended-release form of the drug. But the agency decided to approve the medication in September 2023.
“So why is this medication worth discussing now?” Dr. Smetana said. “It’s because the side effect profile is different from existing antidepressants.”
Many patients may stop using SSRIs because of side effects such as insomnia and loss of libido, Dr. Smetana said. Gepirone has the potential to avoid activation of other 5-HT receptors that mediate side effects, he said.
Studies suggest that gepirone reduces both anxiety and depression scores on the Hamilton Depression Rating Scale in patients who have both conditions and decreases rates of depression relapse compared with placebo through at least 48 weeks. The drug also may be less likely than SSRIs to cause sexual dysfunction in men, Dr. Smetana said.
Gepirone will be available to prescribe to patients in fall 2024.
Dr. Smetana reported no relevant financial conflicts of interest.
A version of this article appeared on Medscape.com.
BOSTON — The US Food and Drug Administration (FDA) approved 55 new medications in 2023 and 11 more in 2024 to date.
A New First-Line for GERD?
Vonoprazan, an oral potassium-competitive acid blocker — which received FDA approval in November 2023 — may be a good alternative for patients whose symptoms continue to linger despite taking medications designated to treat gastroesophageal reflux disease (GERD).
GERD is the most common gastrointestinal symptom encountered by primary care physicians. Proton-pump inhibitors (PPIs) are the first-line treatment for the condition but can have long-term side effects such as Clostridioides difficile infection and kidney lesions.
“We know that not all patients are going to have symptom relief with H2 blockers and PPIs, so there’s an opportunity for patients who don’t get full symptom relief,” Dr. Smetana told attendees.
Vonoprazan blocks potassium binding to ATPase proton pumps and inhibits the secretion of gastric acid.
The approval of vonoprazan for erosive GERD was based on results from the phase 3 PHALCON-EE study, a randomized, double-blind, multicenter study that found the drug to be more effective than lansoprazole in treating erosive esophagitis.
Vonoprazan “has more rapid absorption than PPIs [and a] longer half-life and is more potent than PPIs, so theoretically it could be more effective in certain settings,” Dr. Smetana said.
Vonoprazan is FDA approved for only 6 months of use. Despite its efficacy, cost may be a barrier to many patients. H2 blockers generally cost patients less than $10 for 1 month’s supply, whereas vonoprazan can cost up to $650.
Nonhormonal Drug for Menopause
Fezolinetant, the first neurokinin receptor antagonist to receive approval from the FDA to treat vasomotor symptoms, may be an option for women concerned about hormone-based therapy for menopausal hot flashes.
“[Fezolinetant] specifically works in the area of the brain that’s involved in body temperature regulation and sweating,” Dr. Smetana said.
Results from the SKYLIGHT 1 randomized controlled trial of fezolinetant found the medication reduced the frequency and severity of hot flashes. Some of the side effects include abdominal pain, diarrhea, and insomnia.
Other nonestrogen treatments, including selective serotonin reuptake inhibitors (SSRIs), gabapentin, cognitive-behavioral therapy, and hypnosis, are modestly effective, according to the North American Menopause Society.
“[Fezolinetant] offers a different option that physicians may be more comfortable prescribing,” Dr. Smetana said. “And I think this will be an important addition to nonhormonal therapy.”
RSV Vaccine for Everyone
Once considered an illness that is more prevalent in young children, respiratory syncytial virus (RSV) has become more prevalent and severe among older adults. Between 60,000 and 120,000 older adults are hospitalized and 6000-10,000 die of RSV infection each year, according to the US Centers for Disease Control and Prevention.
The FDA has approved two RSV vaccines approved for older adults, but clinicians may find it challenging to get older patients vaccinated for this and other preventable illnesses.
Patients who received the RSV vaccine had an 83% relative risk reduction for the illness, according to a recent study, and an overall lower risk for hospitalization.
Moderna is developing an mRNA vaccine for RSV that is similar to many COVID-19 vaccines. A study published in 2023 in The New England Journal of Medicine found no cases of neuroinflammatory disorders among patients who received the mRNA RSV vaccine, with a median follow-up of 112 days.
“This is important given ongoing concerns of neurological safety,” among older adults who receive the RSV vaccine, Dr. Smetana said.
As of March 2024, the CDC recommends shared decision-making for adults older than 60 years and for healthcare providers to “consider” rather than “recommend” the vaccine for their patients. The agency’s Adult RSV Work Group plans to meet at June 2024 to reconsider whether shared clinical decision-making remains the preferred policy option.
New Antidepressants
A medication thrice rejected by the FDA is now heading a new class of drugs to treat major depressive disorder.
Gepirone, a 5-HT1A receptor agonist, has a different mechanism of action from that of SSRIs, which are currently considered the first-line treatment for depression.
Gepirone was rejected by the FDA in 2002, 2004, and 2007, with concerns that the efficacy studies were too small. In 2015, an FDA advisory committee agreed that the evidence to date did not support approval of an extended-release form of the drug. But the agency decided to approve the medication in September 2023.
“So why is this medication worth discussing now?” Dr. Smetana said. “It’s because the side effect profile is different from existing antidepressants.”
Many patients may stop using SSRIs because of side effects such as insomnia and loss of libido, Dr. Smetana said. Gepirone has the potential to avoid activation of other 5-HT receptors that mediate side effects, he said.
Studies suggest that gepirone reduces both anxiety and depression scores on the Hamilton Depression Rating Scale in patients who have both conditions and decreases rates of depression relapse compared with placebo through at least 48 weeks. The drug also may be less likely than SSRIs to cause sexual dysfunction in men, Dr. Smetana said.
Gepirone will be available to prescribe to patients in fall 2024.
Dr. Smetana reported no relevant financial conflicts of interest.
A version of this article appeared on Medscape.com.
How to Play Like a Masters Champ
You know what the happiest animal in the world is? A goldfish. You know why? It’s got a 10-second memory. Be a goldfish. — Ted Lasso
I don’t play much golf. When I do, it’s when my dad is in town. He shoots his age (78). I shoot double mine (52). He was recently here. We played and watched the Masters where he pointed out how I looked a lot like Scottie Scheffler, the now two-time Masters champion. On the 10th hole of his third round, you could see the resemblance. Scheffler’s third shot flew past the hole into the galley. He rifled the fourth past the hole on its way back toward the fairway. It was now a good distance further from the cup than a minute ago. He proceeded to misread his bogey putt, ending his misery with a double bogey. Scheffler went on to bogey the next hole and dropped from first on the leaderboard to fifth. Yes, I looked just like that on my last round. But here is where Scheffler and I differ. After a hole like that, I’d have been apoplectic, seething with self loathing. Scheffler was not. He kept moving. Head up, he sauntered to the next hole as if he had no awareness of what just transpired.
The ability to compartmentalize is useful not only to become the Masters champion, but also to become master of your day. In this way, golf is a nice approximation for life. The best golfers in the world will always have horrible shots and dreadful holes. The winning ones are often those who recover rather than continue in a downward spiral of one bad shot after another.
It’s easy to think of regular days that went just like Scheffler’s atrocious 10th hole. Getting pimped in front of distinguished faculty at Grand Rounds and whiffing (it was Sweet Syndrome). Calling a patient to let him know that his syphilis test did in fact come back positive (it was his father on the phone, also Mr. Rodham). Arguing with a patient that a biopsy was not needed for me to diagnose her with zoster (you’ve lost once, you’ve lost your temper). Each of these made me feel like slamming my club down, quitting the round right then and there. Losing control though, leads to flubbing the next question or arguing with the following patient. The masters let it go. Like goldfish, they live in the present without any thought of what happened 10 seconds ago.
We don’t have to take advice just from Ted Lasso here; there is plenty of research to support this concept of the critical relationship between resilience and psychological flexibility. Specifically, flexible cognitive control allows us to guide attention and to choose appropriate appraisal and good coping strategies. Ultimately, this leads to better performance. You might be a skilled athlete or presenter, but if you can’t regulate your emotions and something goes wrong, then you’ll perform as poorly as an amateur.
Scheffler went on to eagle the 13th hole on that round. He eventually won the 2024 Masters Tournament. Remember that the next time you find yourself in a day that feels like it is spiraling toward disaster. Close the door on the compartment that was the last miserable hole and saunter to the next patient like it never happened.
And maybe close the clubface a bit on address for your next drive.
Dr. Benabio is director of Healthcare Transformation and chief of dermatology at Kaiser Permanente San Diego. The opinions expressed in this column are his own and do not represent those of Kaiser Permanente. Dr. Benabio is @Dermdoc on X. Write to him at [email protected].
You know what the happiest animal in the world is? A goldfish. You know why? It’s got a 10-second memory. Be a goldfish. — Ted Lasso
I don’t play much golf. When I do, it’s when my dad is in town. He shoots his age (78). I shoot double mine (52). He was recently here. We played and watched the Masters where he pointed out how I looked a lot like Scottie Scheffler, the now two-time Masters champion. On the 10th hole of his third round, you could see the resemblance. Scheffler’s third shot flew past the hole into the galley. He rifled the fourth past the hole on its way back toward the fairway. It was now a good distance further from the cup than a minute ago. He proceeded to misread his bogey putt, ending his misery with a double bogey. Scheffler went on to bogey the next hole and dropped from first on the leaderboard to fifth. Yes, I looked just like that on my last round. But here is where Scheffler and I differ. After a hole like that, I’d have been apoplectic, seething with self loathing. Scheffler was not. He kept moving. Head up, he sauntered to the next hole as if he had no awareness of what just transpired.
The ability to compartmentalize is useful not only to become the Masters champion, but also to become master of your day. In this way, golf is a nice approximation for life. The best golfers in the world will always have horrible shots and dreadful holes. The winning ones are often those who recover rather than continue in a downward spiral of one bad shot after another.
It’s easy to think of regular days that went just like Scheffler’s atrocious 10th hole. Getting pimped in front of distinguished faculty at Grand Rounds and whiffing (it was Sweet Syndrome). Calling a patient to let him know that his syphilis test did in fact come back positive (it was his father on the phone, also Mr. Rodham). Arguing with a patient that a biopsy was not needed for me to diagnose her with zoster (you’ve lost once, you’ve lost your temper). Each of these made me feel like slamming my club down, quitting the round right then and there. Losing control though, leads to flubbing the next question or arguing with the following patient. The masters let it go. Like goldfish, they live in the present without any thought of what happened 10 seconds ago.
We don’t have to take advice just from Ted Lasso here; there is plenty of research to support this concept of the critical relationship between resilience and psychological flexibility. Specifically, flexible cognitive control allows us to guide attention and to choose appropriate appraisal and good coping strategies. Ultimately, this leads to better performance. You might be a skilled athlete or presenter, but if you can’t regulate your emotions and something goes wrong, then you’ll perform as poorly as an amateur.
Scheffler went on to eagle the 13th hole on that round. He eventually won the 2024 Masters Tournament. Remember that the next time you find yourself in a day that feels like it is spiraling toward disaster. Close the door on the compartment that was the last miserable hole and saunter to the next patient like it never happened.
And maybe close the clubface a bit on address for your next drive.
Dr. Benabio is director of Healthcare Transformation and chief of dermatology at Kaiser Permanente San Diego. The opinions expressed in this column are his own and do not represent those of Kaiser Permanente. Dr. Benabio is @Dermdoc on X. Write to him at [email protected].
You know what the happiest animal in the world is? A goldfish. You know why? It’s got a 10-second memory. Be a goldfish. — Ted Lasso
I don’t play much golf. When I do, it’s when my dad is in town. He shoots his age (78). I shoot double mine (52). He was recently here. We played and watched the Masters where he pointed out how I looked a lot like Scottie Scheffler, the now two-time Masters champion. On the 10th hole of his third round, you could see the resemblance. Scheffler’s third shot flew past the hole into the galley. He rifled the fourth past the hole on its way back toward the fairway. It was now a good distance further from the cup than a minute ago. He proceeded to misread his bogey putt, ending his misery with a double bogey. Scheffler went on to bogey the next hole and dropped from first on the leaderboard to fifth. Yes, I looked just like that on my last round. But here is where Scheffler and I differ. After a hole like that, I’d have been apoplectic, seething with self loathing. Scheffler was not. He kept moving. Head up, he sauntered to the next hole as if he had no awareness of what just transpired.
The ability to compartmentalize is useful not only to become the Masters champion, but also to become master of your day. In this way, golf is a nice approximation for life. The best golfers in the world will always have horrible shots and dreadful holes. The winning ones are often those who recover rather than continue in a downward spiral of one bad shot after another.
It’s easy to think of regular days that went just like Scheffler’s atrocious 10th hole. Getting pimped in front of distinguished faculty at Grand Rounds and whiffing (it was Sweet Syndrome). Calling a patient to let him know that his syphilis test did in fact come back positive (it was his father on the phone, also Mr. Rodham). Arguing with a patient that a biopsy was not needed for me to diagnose her with zoster (you’ve lost once, you’ve lost your temper). Each of these made me feel like slamming my club down, quitting the round right then and there. Losing control though, leads to flubbing the next question or arguing with the following patient. The masters let it go. Like goldfish, they live in the present without any thought of what happened 10 seconds ago.
We don’t have to take advice just from Ted Lasso here; there is plenty of research to support this concept of the critical relationship between resilience and psychological flexibility. Specifically, flexible cognitive control allows us to guide attention and to choose appropriate appraisal and good coping strategies. Ultimately, this leads to better performance. You might be a skilled athlete or presenter, but if you can’t regulate your emotions and something goes wrong, then you’ll perform as poorly as an amateur.
Scheffler went on to eagle the 13th hole on that round. He eventually won the 2024 Masters Tournament. Remember that the next time you find yourself in a day that feels like it is spiraling toward disaster. Close the door on the compartment that was the last miserable hole and saunter to the next patient like it never happened.
And maybe close the clubface a bit on address for your next drive.
Dr. Benabio is director of Healthcare Transformation and chief of dermatology at Kaiser Permanente San Diego. The opinions expressed in this column are his own and do not represent those of Kaiser Permanente. Dr. Benabio is @Dermdoc on X. Write to him at [email protected].
Weighing the Benefits of Integrating AI-based Clinical Notes Into Your Practice
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 [email protected] 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 [email protected] 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 [email protected] 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.
New Federal Rule Delivers Workplace Support, Time Off for Pregnant Docs
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.
AI Surpasses Harvard Docs on Clinical Reasoning Test
TOPLINE:
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:
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:
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.
Burnout
In last month’s column, I discussed employees who are “clock watchers” and how to address this issue in your practice if it exists. Here’s another scenario you may encounter from the Office Politics Forum at the recent American Academy of Dermatology annual meeting:
A 40-year-old dermatologist has practiced in the same office since residency and is loved by patients and staff. He remained with the practice through its takeover by a local hospital three years previously. Recently, over a 3-month period, everyone in the office notices a change in this dermatologist’s behavior. He no longer appears happy, is argumentative with staff and patients alike, often dismisses patients’ concerns, and calls in sick during the practice’s busiest days.
. According to the American Medical Association’s National Burnout Benchmarking report, over 50% of physicians report some characteristics of burnout, which include emotional exhaustion, depersonalization, and a feeling of decreased personal achievement.
The causes of physician burnout are multifactorial and vary in importance, depending on the individual and on which authorities you consult. Here are some of the most prevalent, based on my experience and research:
Bureaucratic and Administrative Tasks: The burden of paperwork and other administrative responsibilities has increased, consuming time that could be spent on patient care or personal well-being.
Electronic Health Record (EHR) Stress: As I (and many others) have predicted for decades, the demands of EHR documentation and the associated clerical tasks have become a major source of what is now called “technostress,” detracting from the efficiency and effectiveness of healthcare delivery.
Insurance and Regulatory Demands: Navigating insurance appeals and prior authorizations, meeting regulatory requirements, and dealing with the complexities of healthcare reimbursement systems add to the stress and frustration experienced by physicians.
Lack of Autonomy and Control: As small practices consolidate, physicians often face constraints on their professional autonomy, with limited control over their work environment, schedules, and clinical decision-making, leading to feelings of helplessness and dissatisfaction.
Emotional Exhaustion from Patient Care: The emotional toll of caring for patients, especially in high-stakes or emotionally charged specialties, can lead to compassion fatigue and burnout. This may account for the results of a 2023 Medscape report in which physicians reporting the most burnout worked in emergency medicine, internal medicine, pediatrics, obstetrics/gynecology, and infectious diseases.
Work-Life Imbalance: The demanding nature of the profession often leads to difficulties in balancing professional responsibilities with personal life, contributing to burnout.
Inadequate Support and Recognition: A lack of support from healthcare institutions and insufficient recognition of the challenges faced by physicians can exacerbate feelings of isolation and undervaluation.
Addressing physician burnout requires a systems-based approach that targets these root causes at all levels, from individual coping strategies to organizational and systemic changes in the healthcare industry. Here are some strategies that have worked for me and others:
Optimize Practice Efficiency: This is the consistent theme of this column over several decades: Streamline office processes to enhance the quality of care while reducing unnecessary workload. This can involve adopting efficient patient scheduling systems, improving clinic flow, and utilizing technology like patient portals judiciously to avoid increasing the task load without compensation.
Promote Work-Life Balance: Encourage a culture that values work-life balance. This can include flexible scheduling, respecting off-duty hours by limiting non-emergency work communications, and using your vacation time. Remember Eastern’s First Law: Your last words will NOT be, “I wish I had spent more time in the office.”
Implement Medical Scribes: I’ve written frequently about this, including a recent column on the new artificial intelligence (AI) scribes, such as DeepCura, DeepScribe, Nuance, Suki, Augmedix, Tali AI, Iodine Software, ScribeLink, and Amazon Web Services’ new HealthScribe product. Utilizing medical scribes to handle documentation can significantly reduce the administrative burden, allowing physicians to focus more on patient care rather than paperwork, potentially improving both physician and patient satisfaction. (As always, I have no financial interest in any product or service mentioned in this column.)
Provide Professional Development Opportunities: Offer opportunities for professional growth and development. This can include attending conferences, participating in research, or providing time and resources for continuing education. Such opportunities can reinvigorate a physician’s passion for medicine and improve job satisfaction.
Foster a Supportive Work Environment: Create a supportive work culture where staff and physicians feel comfortable discussing challenges and seeking support. Regular meetings or check-ins can help identify early signs of burnout and address them proactively.
Evaluate and Adjust Workloads: Regularly assess physician workloads to ensure they are manageable. Adjusting patient loads, redistributing tasks among team members, or hiring additional staff can help prevent burnout.
Leadership Training and Support: Provide training for leaders within the practice on recognizing signs of burnout and effective management strategies. Supportive leadership is crucial in creating an environment where physicians feel valued and heard.
Peer Support and Mentorship Programs: Establish peer support or mentorship programs where physicians can share experiences, offer advice, and provide emotional support to each other.
Feedback and Continuous Improvement: Managers should regularly solicit feedback from physicians regarding their workload, job satisfaction, and suggestions for improvements. Actively work on implementing feasible changes to address concerns.
Dr. Eastern practices dermatology and dermatologic surgery in Belleville, N.J. He is the author of numerous articles and textbook chapters, and is a longtime monthly columnist for Dermatology News. Write to him at [email protected].
In last month’s column, I discussed employees who are “clock watchers” and how to address this issue in your practice if it exists. Here’s another scenario you may encounter from the Office Politics Forum at the recent American Academy of Dermatology annual meeting:
A 40-year-old dermatologist has practiced in the same office since residency and is loved by patients and staff. He remained with the practice through its takeover by a local hospital three years previously. Recently, over a 3-month period, everyone in the office notices a change in this dermatologist’s behavior. He no longer appears happy, is argumentative with staff and patients alike, often dismisses patients’ concerns, and calls in sick during the practice’s busiest days.
. According to the American Medical Association’s National Burnout Benchmarking report, over 50% of physicians report some characteristics of burnout, which include emotional exhaustion, depersonalization, and a feeling of decreased personal achievement.
The causes of physician burnout are multifactorial and vary in importance, depending on the individual and on which authorities you consult. Here are some of the most prevalent, based on my experience and research:
Bureaucratic and Administrative Tasks: The burden of paperwork and other administrative responsibilities has increased, consuming time that could be spent on patient care or personal well-being.
Electronic Health Record (EHR) Stress: As I (and many others) have predicted for decades, the demands of EHR documentation and the associated clerical tasks have become a major source of what is now called “technostress,” detracting from the efficiency and effectiveness of healthcare delivery.
Insurance and Regulatory Demands: Navigating insurance appeals and prior authorizations, meeting regulatory requirements, and dealing with the complexities of healthcare reimbursement systems add to the stress and frustration experienced by physicians.
Lack of Autonomy and Control: As small practices consolidate, physicians often face constraints on their professional autonomy, with limited control over their work environment, schedules, and clinical decision-making, leading to feelings of helplessness and dissatisfaction.
Emotional Exhaustion from Patient Care: The emotional toll of caring for patients, especially in high-stakes or emotionally charged specialties, can lead to compassion fatigue and burnout. This may account for the results of a 2023 Medscape report in which physicians reporting the most burnout worked in emergency medicine, internal medicine, pediatrics, obstetrics/gynecology, and infectious diseases.
Work-Life Imbalance: The demanding nature of the profession often leads to difficulties in balancing professional responsibilities with personal life, contributing to burnout.
Inadequate Support and Recognition: A lack of support from healthcare institutions and insufficient recognition of the challenges faced by physicians can exacerbate feelings of isolation and undervaluation.
Addressing physician burnout requires a systems-based approach that targets these root causes at all levels, from individual coping strategies to organizational and systemic changes in the healthcare industry. Here are some strategies that have worked for me and others:
Optimize Practice Efficiency: This is the consistent theme of this column over several decades: Streamline office processes to enhance the quality of care while reducing unnecessary workload. This can involve adopting efficient patient scheduling systems, improving clinic flow, and utilizing technology like patient portals judiciously to avoid increasing the task load without compensation.
Promote Work-Life Balance: Encourage a culture that values work-life balance. This can include flexible scheduling, respecting off-duty hours by limiting non-emergency work communications, and using your vacation time. Remember Eastern’s First Law: Your last words will NOT be, “I wish I had spent more time in the office.”
Implement Medical Scribes: I’ve written frequently about this, including a recent column on the new artificial intelligence (AI) scribes, such as DeepCura, DeepScribe, Nuance, Suki, Augmedix, Tali AI, Iodine Software, ScribeLink, and Amazon Web Services’ new HealthScribe product. Utilizing medical scribes to handle documentation can significantly reduce the administrative burden, allowing physicians to focus more on patient care rather than paperwork, potentially improving both physician and patient satisfaction. (As always, I have no financial interest in any product or service mentioned in this column.)
Provide Professional Development Opportunities: Offer opportunities for professional growth and development. This can include attending conferences, participating in research, or providing time and resources for continuing education. Such opportunities can reinvigorate a physician’s passion for medicine and improve job satisfaction.
Foster a Supportive Work Environment: Create a supportive work culture where staff and physicians feel comfortable discussing challenges and seeking support. Regular meetings or check-ins can help identify early signs of burnout and address them proactively.
Evaluate and Adjust Workloads: Regularly assess physician workloads to ensure they are manageable. Adjusting patient loads, redistributing tasks among team members, or hiring additional staff can help prevent burnout.
Leadership Training and Support: Provide training for leaders within the practice on recognizing signs of burnout and effective management strategies. Supportive leadership is crucial in creating an environment where physicians feel valued and heard.
Peer Support and Mentorship Programs: Establish peer support or mentorship programs where physicians can share experiences, offer advice, and provide emotional support to each other.
Feedback and Continuous Improvement: Managers should regularly solicit feedback from physicians regarding their workload, job satisfaction, and suggestions for improvements. Actively work on implementing feasible changes to address concerns.
Dr. Eastern practices dermatology and dermatologic surgery in Belleville, N.J. He is the author of numerous articles and textbook chapters, and is a longtime monthly columnist for Dermatology News. Write to him at [email protected].
In last month’s column, I discussed employees who are “clock watchers” and how to address this issue in your practice if it exists. Here’s another scenario you may encounter from the Office Politics Forum at the recent American Academy of Dermatology annual meeting:
A 40-year-old dermatologist has practiced in the same office since residency and is loved by patients and staff. He remained with the practice through its takeover by a local hospital three years previously. Recently, over a 3-month period, everyone in the office notices a change in this dermatologist’s behavior. He no longer appears happy, is argumentative with staff and patients alike, often dismisses patients’ concerns, and calls in sick during the practice’s busiest days.
. According to the American Medical Association’s National Burnout Benchmarking report, over 50% of physicians report some characteristics of burnout, which include emotional exhaustion, depersonalization, and a feeling of decreased personal achievement.
The causes of physician burnout are multifactorial and vary in importance, depending on the individual and on which authorities you consult. Here are some of the most prevalent, based on my experience and research:
Bureaucratic and Administrative Tasks: The burden of paperwork and other administrative responsibilities has increased, consuming time that could be spent on patient care or personal well-being.
Electronic Health Record (EHR) Stress: As I (and many others) have predicted for decades, the demands of EHR documentation and the associated clerical tasks have become a major source of what is now called “technostress,” detracting from the efficiency and effectiveness of healthcare delivery.
Insurance and Regulatory Demands: Navigating insurance appeals and prior authorizations, meeting regulatory requirements, and dealing with the complexities of healthcare reimbursement systems add to the stress and frustration experienced by physicians.
Lack of Autonomy and Control: As small practices consolidate, physicians often face constraints on their professional autonomy, with limited control over their work environment, schedules, and clinical decision-making, leading to feelings of helplessness and dissatisfaction.
Emotional Exhaustion from Patient Care: The emotional toll of caring for patients, especially in high-stakes or emotionally charged specialties, can lead to compassion fatigue and burnout. This may account for the results of a 2023 Medscape report in which physicians reporting the most burnout worked in emergency medicine, internal medicine, pediatrics, obstetrics/gynecology, and infectious diseases.
Work-Life Imbalance: The demanding nature of the profession often leads to difficulties in balancing professional responsibilities with personal life, contributing to burnout.
Inadequate Support and Recognition: A lack of support from healthcare institutions and insufficient recognition of the challenges faced by physicians can exacerbate feelings of isolation and undervaluation.
Addressing physician burnout requires a systems-based approach that targets these root causes at all levels, from individual coping strategies to organizational and systemic changes in the healthcare industry. Here are some strategies that have worked for me and others:
Optimize Practice Efficiency: This is the consistent theme of this column over several decades: Streamline office processes to enhance the quality of care while reducing unnecessary workload. This can involve adopting efficient patient scheduling systems, improving clinic flow, and utilizing technology like patient portals judiciously to avoid increasing the task load without compensation.
Promote Work-Life Balance: Encourage a culture that values work-life balance. This can include flexible scheduling, respecting off-duty hours by limiting non-emergency work communications, and using your vacation time. Remember Eastern’s First Law: Your last words will NOT be, “I wish I had spent more time in the office.”
Implement Medical Scribes: I’ve written frequently about this, including a recent column on the new artificial intelligence (AI) scribes, such as DeepCura, DeepScribe, Nuance, Suki, Augmedix, Tali AI, Iodine Software, ScribeLink, and Amazon Web Services’ new HealthScribe product. Utilizing medical scribes to handle documentation can significantly reduce the administrative burden, allowing physicians to focus more on patient care rather than paperwork, potentially improving both physician and patient satisfaction. (As always, I have no financial interest in any product or service mentioned in this column.)
Provide Professional Development Opportunities: Offer opportunities for professional growth and development. This can include attending conferences, participating in research, or providing time and resources for continuing education. Such opportunities can reinvigorate a physician’s passion for medicine and improve job satisfaction.
Foster a Supportive Work Environment: Create a supportive work culture where staff and physicians feel comfortable discussing challenges and seeking support. Regular meetings or check-ins can help identify early signs of burnout and address them proactively.
Evaluate and Adjust Workloads: Regularly assess physician workloads to ensure they are manageable. Adjusting patient loads, redistributing tasks among team members, or hiring additional staff can help prevent burnout.
Leadership Training and Support: Provide training for leaders within the practice on recognizing signs of burnout and effective management strategies. Supportive leadership is crucial in creating an environment where physicians feel valued and heard.
Peer Support and Mentorship Programs: Establish peer support or mentorship programs where physicians can share experiences, offer advice, and provide emotional support to each other.
Feedback and Continuous Improvement: Managers should regularly solicit feedback from physicians regarding their workload, job satisfaction, and suggestions for improvements. Actively work on implementing feasible changes to address concerns.
Dr. Eastern practices dermatology and dermatologic surgery in Belleville, N.J. He is the author of numerous articles and textbook chapters, and is a longtime monthly columnist for Dermatology News. Write to him at [email protected].
How Long Should a Woman Wait Before Becoming Pregnant Again?
How long should a woman wait before becoming pregnant again? According to the World Health Organization (WHO), it is advisable to wait at least 24 months between childbirth and a new pregnancy. But a study published in February of this year in The Lancet Regional Health — Americas, using data from more than 4.7 million live births in Brazil, suggests that this recommendation should be individualized, considering factors such as maternal obstetric history.
Researchers from the Federal University of Grande Dourados (UFGD), Oswaldo Cruz Foundation, São José do Rio Preto Medical School, Federal University of Bahia, and the London School of Hygiene and Tropical Medicine in the United Kingdom, used a birth cohort from the Center for Data Integration and Knowledge for Health, which combines data from the Ministry of Health’s Information System on Live Births (SINASC) and from a cohort of 100 million Brazilians.
In total, the analysis included information on 3,804,152 women and 4,788,279 births. All participants had at least two consecutive live births.
Most interpregnancy intervals, ie, the difference between the previous childbirth and the subsequent conception, ranged from 23 to 58 months (39.1%). Extreme intervals of < 6 months and > 120 months occurred in 5.6% and 1.6% of cases, respectively.
Regarding adverse outcomes, the research indicated that, in the general population, small-for-gestational-age (SGA) babies were observed in 8.4% of subsequent births, while low birth weight (LBW) occurred in 5.9% and preterm birth in 7.5%.
Interpregnancy Interval and SGA Risk
The authors noted that the risk for subsequent adverse outcomes increased with extreme interpregnancy intervals, with SGA being the only exception. In this case, women who had an interval between the previous childbirth and the subsequent conception > 120 months had a lower risk for SGA.
According to João Guilherme Tedde, a medical student at UFGD and the first author of the study, similar patterns (extremely long interpregnancy intervals associated with a lower risk for subsequent SGA) have been described in the literature. In an interview with this news organization, he explained some hypotheses that could explain this phenomenon.
According to the researcher, the finding may reflect the distinct risk profile of mothers who wait a very long time to conceive again. “This group, composed of older women, likely has a higher prevalence of health problems, such as diabetes and obesity, which are known risk factors for having large-for-gestational-age (LGA) babies,” he said. He also highlighted the fact that the study showed that the risk for LGA also increased as the interval between pregnancies grew.
Another hypothesis suggested by the author is the possible occurrence of events between pregnancies, such as miscarriages or stillbirths. According to him, women who have experienced these events between two consecutive pregnancies may have falsely increased interpregnancy intervals, since miscarriages and stillbirths (which are considered conceptions) are not counted in SINASC.
“Thus, the lower occurrence of SGA in the group with very long intervals may reflect a competition of events between stillbirths or miscarriages and live SGAs,” he said.
Previous and Subsequent Adverse Events
The research also showed that the risks for subsequent SGA, LBW, and preterm birth were higher among women with a history of adverse events in previous pregnancies.
Furthermore, the authors noted that the previous occurrence of adverse outcomes seems to “have a more significant impact on the outcome of the current pregnancy than the interpregnancy interval.”
“We found that, for women with the same interpregnancy interval (say < 6 months), but with different obstetric history (zero previous events vs one event), the absolute risk for subsequent adverse outcomes increased much more than when we change only the duration of the interval in a group with the same number of previous adverse events,” said Dr. Tedde.
There is still no convincing explanation for this fact, he said, since the cause-and-effect relationship between interpregnancy intervals and perinatal events is not clear. But the obstetrics literature generally shows that among the main risk factors for an adverse event is the previous occurrence of the same event. This effect could be related to living conditions and maternal habits, genetics, epigenetics, among others.
The researcher observed that this study is one of the largest in terms of sampling to investigate how maternal obstetric history can modulate the effect of interpregnancy interval on the risk for adverse outcomes in subsequent pregnancies.
The findings of the research published this year reinforce the importance of individualizing recommendations regarding interpregnancy intervals, considering factors such as maternal obstetric history. However, the author warns that it is still too early to point out the “best” interval for each situation.
“We need more studies that reproduce our findings and that expand the analyzed outcomes to also include those of interest to the mother, such as maternal mortality,” he concluded.
This story was translated from the Medscape Portuguese edition 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.
How long should a woman wait before becoming pregnant again? According to the World Health Organization (WHO), it is advisable to wait at least 24 months between childbirth and a new pregnancy. But a study published in February of this year in The Lancet Regional Health — Americas, using data from more than 4.7 million live births in Brazil, suggests that this recommendation should be individualized, considering factors such as maternal obstetric history.
Researchers from the Federal University of Grande Dourados (UFGD), Oswaldo Cruz Foundation, São José do Rio Preto Medical School, Federal University of Bahia, and the London School of Hygiene and Tropical Medicine in the United Kingdom, used a birth cohort from the Center for Data Integration and Knowledge for Health, which combines data from the Ministry of Health’s Information System on Live Births (SINASC) and from a cohort of 100 million Brazilians.
In total, the analysis included information on 3,804,152 women and 4,788,279 births. All participants had at least two consecutive live births.
Most interpregnancy intervals, ie, the difference between the previous childbirth and the subsequent conception, ranged from 23 to 58 months (39.1%). Extreme intervals of < 6 months and > 120 months occurred in 5.6% and 1.6% of cases, respectively.
Regarding adverse outcomes, the research indicated that, in the general population, small-for-gestational-age (SGA) babies were observed in 8.4% of subsequent births, while low birth weight (LBW) occurred in 5.9% and preterm birth in 7.5%.
Interpregnancy Interval and SGA Risk
The authors noted that the risk for subsequent adverse outcomes increased with extreme interpregnancy intervals, with SGA being the only exception. In this case, women who had an interval between the previous childbirth and the subsequent conception > 120 months had a lower risk for SGA.
According to João Guilherme Tedde, a medical student at UFGD and the first author of the study, similar patterns (extremely long interpregnancy intervals associated with a lower risk for subsequent SGA) have been described in the literature. In an interview with this news organization, he explained some hypotheses that could explain this phenomenon.
According to the researcher, the finding may reflect the distinct risk profile of mothers who wait a very long time to conceive again. “This group, composed of older women, likely has a higher prevalence of health problems, such as diabetes and obesity, which are known risk factors for having large-for-gestational-age (LGA) babies,” he said. He also highlighted the fact that the study showed that the risk for LGA also increased as the interval between pregnancies grew.
Another hypothesis suggested by the author is the possible occurrence of events between pregnancies, such as miscarriages or stillbirths. According to him, women who have experienced these events between two consecutive pregnancies may have falsely increased interpregnancy intervals, since miscarriages and stillbirths (which are considered conceptions) are not counted in SINASC.
“Thus, the lower occurrence of SGA in the group with very long intervals may reflect a competition of events between stillbirths or miscarriages and live SGAs,” he said.
Previous and Subsequent Adverse Events
The research also showed that the risks for subsequent SGA, LBW, and preterm birth were higher among women with a history of adverse events in previous pregnancies.
Furthermore, the authors noted that the previous occurrence of adverse outcomes seems to “have a more significant impact on the outcome of the current pregnancy than the interpregnancy interval.”
“We found that, for women with the same interpregnancy interval (say < 6 months), but with different obstetric history (zero previous events vs one event), the absolute risk for subsequent adverse outcomes increased much more than when we change only the duration of the interval in a group with the same number of previous adverse events,” said Dr. Tedde.
There is still no convincing explanation for this fact, he said, since the cause-and-effect relationship between interpregnancy intervals and perinatal events is not clear. But the obstetrics literature generally shows that among the main risk factors for an adverse event is the previous occurrence of the same event. This effect could be related to living conditions and maternal habits, genetics, epigenetics, among others.
The researcher observed that this study is one of the largest in terms of sampling to investigate how maternal obstetric history can modulate the effect of interpregnancy interval on the risk for adverse outcomes in subsequent pregnancies.
The findings of the research published this year reinforce the importance of individualizing recommendations regarding interpregnancy intervals, considering factors such as maternal obstetric history. However, the author warns that it is still too early to point out the “best” interval for each situation.
“We need more studies that reproduce our findings and that expand the analyzed outcomes to also include those of interest to the mother, such as maternal mortality,” he concluded.
This story was translated from the Medscape Portuguese edition 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.
How long should a woman wait before becoming pregnant again? According to the World Health Organization (WHO), it is advisable to wait at least 24 months between childbirth and a new pregnancy. But a study published in February of this year in The Lancet Regional Health — Americas, using data from more than 4.7 million live births in Brazil, suggests that this recommendation should be individualized, considering factors such as maternal obstetric history.
Researchers from the Federal University of Grande Dourados (UFGD), Oswaldo Cruz Foundation, São José do Rio Preto Medical School, Federal University of Bahia, and the London School of Hygiene and Tropical Medicine in the United Kingdom, used a birth cohort from the Center for Data Integration and Knowledge for Health, which combines data from the Ministry of Health’s Information System on Live Births (SINASC) and from a cohort of 100 million Brazilians.
In total, the analysis included information on 3,804,152 women and 4,788,279 births. All participants had at least two consecutive live births.
Most interpregnancy intervals, ie, the difference between the previous childbirth and the subsequent conception, ranged from 23 to 58 months (39.1%). Extreme intervals of < 6 months and > 120 months occurred in 5.6% and 1.6% of cases, respectively.
Regarding adverse outcomes, the research indicated that, in the general population, small-for-gestational-age (SGA) babies were observed in 8.4% of subsequent births, while low birth weight (LBW) occurred in 5.9% and preterm birth in 7.5%.
Interpregnancy Interval and SGA Risk
The authors noted that the risk for subsequent adverse outcomes increased with extreme interpregnancy intervals, with SGA being the only exception. In this case, women who had an interval between the previous childbirth and the subsequent conception > 120 months had a lower risk for SGA.
According to João Guilherme Tedde, a medical student at UFGD and the first author of the study, similar patterns (extremely long interpregnancy intervals associated with a lower risk for subsequent SGA) have been described in the literature. In an interview with this news organization, he explained some hypotheses that could explain this phenomenon.
According to the researcher, the finding may reflect the distinct risk profile of mothers who wait a very long time to conceive again. “This group, composed of older women, likely has a higher prevalence of health problems, such as diabetes and obesity, which are known risk factors for having large-for-gestational-age (LGA) babies,” he said. He also highlighted the fact that the study showed that the risk for LGA also increased as the interval between pregnancies grew.
Another hypothesis suggested by the author is the possible occurrence of events between pregnancies, such as miscarriages or stillbirths. According to him, women who have experienced these events between two consecutive pregnancies may have falsely increased interpregnancy intervals, since miscarriages and stillbirths (which are considered conceptions) are not counted in SINASC.
“Thus, the lower occurrence of SGA in the group with very long intervals may reflect a competition of events between stillbirths or miscarriages and live SGAs,” he said.
Previous and Subsequent Adverse Events
The research also showed that the risks for subsequent SGA, LBW, and preterm birth were higher among women with a history of adverse events in previous pregnancies.
Furthermore, the authors noted that the previous occurrence of adverse outcomes seems to “have a more significant impact on the outcome of the current pregnancy than the interpregnancy interval.”
“We found that, for women with the same interpregnancy interval (say < 6 months), but with different obstetric history (zero previous events vs one event), the absolute risk for subsequent adverse outcomes increased much more than when we change only the duration of the interval in a group with the same number of previous adverse events,” said Dr. Tedde.
There is still no convincing explanation for this fact, he said, since the cause-and-effect relationship between interpregnancy intervals and perinatal events is not clear. But the obstetrics literature generally shows that among the main risk factors for an adverse event is the previous occurrence of the same event. This effect could be related to living conditions and maternal habits, genetics, epigenetics, among others.
The researcher observed that this study is one of the largest in terms of sampling to investigate how maternal obstetric history can modulate the effect of interpregnancy interval on the risk for adverse outcomes in subsequent pregnancies.
The findings of the research published this year reinforce the importance of individualizing recommendations regarding interpregnancy intervals, considering factors such as maternal obstetric history. However, the author warns that it is still too early to point out the “best” interval for each situation.
“We need more studies that reproduce our findings and that expand the analyzed outcomes to also include those of interest to the mother, such as maternal mortality,” he concluded.
This story was translated from the Medscape Portuguese edition 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.