Clinical Endocrinology News

TOPLINE:

Reaching age 65 years and enrolling in Medicare is associated with a $23 increase in quarterly out-of-pocket costs for type 2 diabetes (T2D) medications. Medication usage decreased by 5.3%, with a notable shift toward more expensive insulin use.

METHODOLOGY:

• Researchers conducted a retrospective cohort study using 2012-2020 prescription drug claims data from the TriNetX Diamond Network.
• A total of 129,997 individuals diagnosed with T2D were included, with claims observed both before and after age 65 years.
• The primary outcome was patient out-of-pocket costs for T2D drugs per quarter, adjusted to 2020 dollars.
• Drugs measured included biguanides (metformin), sulfonylureas, thiazolidinediones, insulin, dipeptidyl peptidase 4 (DPP-4) inhibitors, glucagon-like peptide 1 (GLP-1) receptor agonists, sodium-glucose cotransporter 2 (SGLT-2 inhibitors), and amylin analogs, among others.
• Regression discontinuity design was used to examine the outcomes, adjusting for differential linear quarterly time trends, year fixed effects, and utilization composition and intensity.

TAKEAWAY:

• Reaching age 65 years was associated with an increase of $23.04 in mean quarterly out-of-pocket costs for T2D drugs (95% confidence interval [CI], $19.86-$26.22).
• The 95th percentile of out-of-pocket spending increased by $56.36 (95% CI, $51.48-$61.23) after utilization adjustment.
• T2D medication usage decreased by 5.3% at age 65 years, from 3.40 claims per quarter to 3.22 claims per quarter.
• Higher out-of-pockets were associated with insulin use, DPP-4 inhibitors, GLP-1s, and SGLT2 inhibitors.

IN PRACTICE:

“Our results have important implications for the provisions of the Inflation Reduction Act, many of which aim to reduce these costs. Reduced patient cost burden will improve adherence and the management of type 2 diabetes, likely leading to reductions in T2D complications,” wrote the authors of the study.

SOURCE:

The study was led by Douglas Barthold, PhD, Jing Li, MA, PhD, and Anirban Basu, MS, PhD, at the Comparative Health Outcomes, Policy, and Economics Institute, School of Pharmacy, University of Washington, Seattle. It was published online in JAMA Network Open.

LIMITATIONS:

The study’s limitations include the possibility that not all claims of an individual were observed, as TriNetX claims data may not capture individuals who leave the healthcare system or have inaccurate or changing diagnoses. Additionally, the data lack individual-level insurance characteristics. The assumption that individuals transition to Medicare at age 65 years may not be true for all participants. The study also lacks clinical information regarding the severity of T2D, which could influence medication usage and out-of-pocket costs.

DISCLOSURES:

The study was supported by grants from the National Institute on Aging (NIA) and the University of Washington’s Population Health Initiative, Student Technology Fee program, and Provost’s office. Dr. Barthold and Dr. Li received grants from the NIA. Dr. Basu reported receiving personal fees from Salutis Consulting LLC outside the submitted work. Additional disclosures are noted in the original article.

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

TOPLINE:

Reaching age 65 years and enrolling in Medicare is associated with a $23 increase in quarterly out-of-pocket costs for type 2 diabetes (T2D) medications. Medication usage decreased by 5.3%, with a notable shift toward more expensive insulin use.

METHODOLOGY:

• Researchers conducted a retrospective cohort study using 2012-2020 prescription drug claims data from the TriNetX Diamond Network.
• A total of 129,997 individuals diagnosed with T2D were included, with claims observed both before and after age 65 years.
• The primary outcome was patient out-of-pocket costs for T2D drugs per quarter, adjusted to 2020 dollars.
• Drugs measured included biguanides (metformin), sulfonylureas, thiazolidinediones, insulin, dipeptidyl peptidase 4 (DPP-4) inhibitors, glucagon-like peptide 1 (GLP-1) receptor agonists, sodium-glucose cotransporter 2 (SGLT-2 inhibitors), and amylin analogs, among others.
• Regression discontinuity design was used to examine the outcomes, adjusting for differential linear quarterly time trends, year fixed effects, and utilization composition and intensity.

TAKEAWAY:

• Reaching age 65 years was associated with an increase of $23.04 in mean quarterly out-of-pocket costs for T2D drugs (95% confidence interval [CI], $19.86-$26.22).
• The 95th percentile of out-of-pocket spending increased by $56.36 (95% CI, $51.48-$61.23) after utilization adjustment.
• T2D medication usage decreased by 5.3% at age 65 years, from 3.40 claims per quarter to 3.22 claims per quarter.
• Higher out-of-pockets were associated with insulin use, DPP-4 inhibitors, GLP-1s, and SGLT2 inhibitors.

IN PRACTICE:

“Our results have important implications for the provisions of the Inflation Reduction Act, many of which aim to reduce these costs. Reduced patient cost burden will improve adherence and the management of type 2 diabetes, likely leading to reductions in T2D complications,” wrote the authors of the study.

SOURCE:

The study was led by Douglas Barthold, PhD, Jing Li, MA, PhD, and Anirban Basu, MS, PhD, at the Comparative Health Outcomes, Policy, and Economics Institute, School of Pharmacy, University of Washington, Seattle. It was published online in JAMA Network Open.

LIMITATIONS:

The study’s limitations include the possibility that not all claims of an individual were observed, as TriNetX claims data may not capture individuals who leave the healthcare system or have inaccurate or changing diagnoses. Additionally, the data lack individual-level insurance characteristics. The assumption that individuals transition to Medicare at age 65 years may not be true for all participants. The study also lacks clinical information regarding the severity of T2D, which could influence medication usage and out-of-pocket costs.

DISCLOSURES:

The study was supported by grants from the National Institute on Aging (NIA) and the University of Washington’s Population Health Initiative, Student Technology Fee program, and Provost’s office. Dr. Barthold and Dr. Li received grants from the NIA. Dr. Basu reported receiving personal fees from Salutis Consulting LLC outside the submitted work. Additional disclosures are noted in the original article.

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

TOPLINE:

Reaching age 65 years and enrolling in Medicare is associated with a $23 increase in quarterly out-of-pocket costs for type 2 diabetes (T2D) medications. Medication usage decreased by 5.3%, with a notable shift toward more expensive insulin use.

METHODOLOGY:

• Researchers conducted a retrospective cohort study using 2012-2020 prescription drug claims data from the TriNetX Diamond Network.
• A total of 129,997 individuals diagnosed with T2D were included, with claims observed both before and after age 65 years.
• The primary outcome was patient out-of-pocket costs for T2D drugs per quarter, adjusted to 2020 dollars.
• Drugs measured included biguanides (metformin), sulfonylureas, thiazolidinediones, insulin, dipeptidyl peptidase 4 (DPP-4) inhibitors, glucagon-like peptide 1 (GLP-1) receptor agonists, sodium-glucose cotransporter 2 (SGLT-2 inhibitors), and amylin analogs, among others.
• Regression discontinuity design was used to examine the outcomes, adjusting for differential linear quarterly time trends, year fixed effects, and utilization composition and intensity.

TAKEAWAY:

• Reaching age 65 years was associated with an increase of $23.04 in mean quarterly out-of-pocket costs for T2D drugs (95% confidence interval [CI], $19.86-$26.22).
• The 95th percentile of out-of-pocket spending increased by $56.36 (95% CI, $51.48-$61.23) after utilization adjustment.
• T2D medication usage decreased by 5.3% at age 65 years, from 3.40 claims per quarter to 3.22 claims per quarter.
• Higher out-of-pockets were associated with insulin use, DPP-4 inhibitors, GLP-1s, and SGLT2 inhibitors.

IN PRACTICE:

“Our results have important implications for the provisions of the Inflation Reduction Act, many of which aim to reduce these costs. Reduced patient cost burden will improve adherence and the management of type 2 diabetes, likely leading to reductions in T2D complications,” wrote the authors of the study.

SOURCE:

The study was led by Douglas Barthold, PhD, Jing Li, MA, PhD, and Anirban Basu, MS, PhD, at the Comparative Health Outcomes, Policy, and Economics Institute, School of Pharmacy, University of Washington, Seattle. It was published online in JAMA Network Open.

LIMITATIONS:

The study’s limitations include the possibility that not all claims of an individual were observed, as TriNetX claims data may not capture individuals who leave the healthcare system or have inaccurate or changing diagnoses. Additionally, the data lack individual-level insurance characteristics. The assumption that individuals transition to Medicare at age 65 years may not be true for all participants. The study also lacks clinical information regarding the severity of T2D, which could influence medication usage and out-of-pocket costs.

DISCLOSURES:

The study was supported by grants from the National Institute on Aging (NIA) and the University of Washington’s Population Health Initiative, Student Technology Fee program, and Provost’s office. Dr. Barthold and Dr. Li received grants from the NIA. Dr. Basu reported receiving personal fees from Salutis Consulting LLC outside the submitted work. Additional disclosures are noted in the original article.

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

Concerned about your patient’s type 2 diabetes risk? Along with the usual preventive strategies — like diet and exercise and, when appropriate, glucagon-like peptide 1 (GLP-1) agonists — there’s another simple, no-risk strategy that just might help: Turning off the light at night.

A study in The Lancet found that people who were exposed to the most light between 12:30 a.m. and 6 a.m. were 1.5 times more likely to develop diabetes than those who remained in darkness during that time frame.

The study builds on growing evidence linking nighttime light exposure to type 2 diabetes risk. But unlike previous large studies that relied on satellite data of outdoor light levels (an indirect measure of light exposure), the recent study looked at personal light exposure — that is, light measured directly on individuals — as recorded by a wrist-worn sensor.

“Those previous studies likely underestimated the effect,” said study author Andrew Phillips, PhD, professor of sleep health at Flinders University in Adelaide, Australia, “since they did not capture indoor light environments.”

Using data from 85,000 participants from the UK Biobank, the recent study is the largest to date linking diabetes risk to personal light exposure at night.

“This is really a phenomenal study,” said Courtney Peterson, PhD, a scientist at the University of Alabama at Birmingham’s Diabetes Research Center, who was not involved in the study. “This is the first large-scale study we have looking at people’s light exposure patterns and linking it to their long-term health.”
 

What the Study Showed

The participants wore the light sensors for a week, recording day and night light from all sources — whether from sunlight, lamps, streetlights, or digital screens. The researchers then tracked participants for 8 years.

“About half of the people that we looked at had very dim levels of light at night, so less than 1 lux — that basically means less than candlelight,” said Dr. Phillips. “They were the people who were protected against type 2 diabetes.”

Those exposed to more light at night — defined in the study as 12:30 a.m.–6 a.m. — had a higher risk for type 2 diabetes. The risk went up as a dose response, Phillips said: The brighter the light exposure, the higher the diabetes risk.

Participants in the top 10% of light exposure — who were exposed to about 48 lux , or the equivalent of relatively dim overhead lighting — were 1.5 times more likely to develop diabetes than those in the dark. That’s about the risk increase you’d get from having a family history of type 2 diabetes, the researchers said.

Even when they controlled for factors like socioeconomic status, smoking, diet, exercise, and shift work, “we still found there was this very strong relationship between light exposure and risk of type 2 diabetes,” said Dr. Phillips.
 

How Light at Night May Increase Diabetes Risk

The results are not entirely surprising, said endocrinologist Susanne Miedlich, MD, a professor at the University of Rochester Medical Center, Rochester, New York, who was not involved in the study.

Light at night can disrupt the circadian rhythm, or your body’s internal 24-hour cycle. And scientists have long known that circadian rhythm is important for all kinds of biologic processes, including how the body manages blood sugar.

One’s internal clock regulates food intake, sugar absorption, and the release of insulin. Dysregulation in the circadian rhythm is associated with insulin resistance, a precursor to type 2 diabetes.

Dr. Phillips speculated that the sleep hormone melatonin also plays a role.

“Melatonin does a lot of things, but one of the things that it does is it manages our glucose and our insulin responses,” Dr. Phillips said. “So if you’re chronically getting light exposure at night, that’s reducing a level of melatonin that, in the long term, could lead to poor metabolic outcomes.”

Previous studies have explored melatonin supplementation to help manage diabetes. “However, while melatonin clearly regulates circadian rhythms, its utility as a drug to prevent diabetes has not really panned out thus far,” Dr. Miedlich said.
 

Takeaways

Interventional studies are needed to confirm whether strategies like powering down screens, turning off lights, or using blackout curtains could reduce diabetes risk.

That said, “there’s no reason not to tell people to get healthy light exposure patterns and sleep, especially in the context of diabetes,” said Dr. Phillips.

Other known strategies for reducing diabetes risk include intensive lifestyle programs, which reduce risk by up to 58%, and GLP-1 agonists.

“Probably a GLP-1 agonist is going to be more effective,” Dr. Peterson said. “But this is still a fairly large effect without having to go through the expense of buying a GLP-1 or losing a lot of weight or making a big lifestyle change.”

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

Concerned about your patient’s type 2 diabetes risk? Along with the usual preventive strategies — like diet and exercise and, when appropriate, glucagon-like peptide 1 (GLP-1) agonists — there’s another simple, no-risk strategy that just might help: Turning off the light at night.

A study in The Lancet found that people who were exposed to the most light between 12:30 a.m. and 6 a.m. were 1.5 times more likely to develop diabetes than those who remained in darkness during that time frame.

The study builds on growing evidence linking nighttime light exposure to type 2 diabetes risk. But unlike previous large studies that relied on satellite data of outdoor light levels (an indirect measure of light exposure), the recent study looked at personal light exposure — that is, light measured directly on individuals — as recorded by a wrist-worn sensor.

“Those previous studies likely underestimated the effect,” said study author Andrew Phillips, PhD, professor of sleep health at Flinders University in Adelaide, Australia, “since they did not capture indoor light environments.”

Using data from 85,000 participants from the UK Biobank, the recent study is the largest to date linking diabetes risk to personal light exposure at night.

“This is really a phenomenal study,” said Courtney Peterson, PhD, a scientist at the University of Alabama at Birmingham’s Diabetes Research Center, who was not involved in the study. “This is the first large-scale study we have looking at people’s light exposure patterns and linking it to their long-term health.”
 

What the Study Showed

The participants wore the light sensors for a week, recording day and night light from all sources — whether from sunlight, lamps, streetlights, or digital screens. The researchers then tracked participants for 8 years.

“About half of the people that we looked at had very dim levels of light at night, so less than 1 lux — that basically means less than candlelight,” said Dr. Phillips. “They were the people who were protected against type 2 diabetes.”

Those exposed to more light at night — defined in the study as 12:30 a.m.–6 a.m. — had a higher risk for type 2 diabetes. The risk went up as a dose response, Phillips said: The brighter the light exposure, the higher the diabetes risk.

Participants in the top 10% of light exposure — who were exposed to about 48 lux , or the equivalent of relatively dim overhead lighting — were 1.5 times more likely to develop diabetes than those in the dark. That’s about the risk increase you’d get from having a family history of type 2 diabetes, the researchers said.

Even when they controlled for factors like socioeconomic status, smoking, diet, exercise, and shift work, “we still found there was this very strong relationship between light exposure and risk of type 2 diabetes,” said Dr. Phillips.
 

How Light at Night May Increase Diabetes Risk

The results are not entirely surprising, said endocrinologist Susanne Miedlich, MD, a professor at the University of Rochester Medical Center, Rochester, New York, who was not involved in the study.

Light at night can disrupt the circadian rhythm, or your body’s internal 24-hour cycle. And scientists have long known that circadian rhythm is important for all kinds of biologic processes, including how the body manages blood sugar.

One’s internal clock regulates food intake, sugar absorption, and the release of insulin. Dysregulation in the circadian rhythm is associated with insulin resistance, a precursor to type 2 diabetes.

Dr. Phillips speculated that the sleep hormone melatonin also plays a role.

“Melatonin does a lot of things, but one of the things that it does is it manages our glucose and our insulin responses,” Dr. Phillips said. “So if you’re chronically getting light exposure at night, that’s reducing a level of melatonin that, in the long term, could lead to poor metabolic outcomes.”

Previous studies have explored melatonin supplementation to help manage diabetes. “However, while melatonin clearly regulates circadian rhythms, its utility as a drug to prevent diabetes has not really panned out thus far,” Dr. Miedlich said.
 

Takeaways

Interventional studies are needed to confirm whether strategies like powering down screens, turning off lights, or using blackout curtains could reduce diabetes risk.

That said, “there’s no reason not to tell people to get healthy light exposure patterns and sleep, especially in the context of diabetes,” said Dr. Phillips.

Other known strategies for reducing diabetes risk include intensive lifestyle programs, which reduce risk by up to 58%, and GLP-1 agonists.

“Probably a GLP-1 agonist is going to be more effective,” Dr. Peterson said. “But this is still a fairly large effect without having to go through the expense of buying a GLP-1 or losing a lot of weight or making a big lifestyle change.”

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

Concerned about your patient’s type 2 diabetes risk? Along with the usual preventive strategies — like diet and exercise and, when appropriate, glucagon-like peptide 1 (GLP-1) agonists — there’s another simple, no-risk strategy that just might help: Turning off the light at night.

A study in The Lancet found that people who were exposed to the most light between 12:30 a.m. and 6 a.m. were 1.5 times more likely to develop diabetes than those who remained in darkness during that time frame.

The study builds on growing evidence linking nighttime light exposure to type 2 diabetes risk. But unlike previous large studies that relied on satellite data of outdoor light levels (an indirect measure of light exposure), the recent study looked at personal light exposure — that is, light measured directly on individuals — as recorded by a wrist-worn sensor.

“Those previous studies likely underestimated the effect,” said study author Andrew Phillips, PhD, professor of sleep health at Flinders University in Adelaide, Australia, “since they did not capture indoor light environments.”

Using data from 85,000 participants from the UK Biobank, the recent study is the largest to date linking diabetes risk to personal light exposure at night.

“This is really a phenomenal study,” said Courtney Peterson, PhD, a scientist at the University of Alabama at Birmingham’s Diabetes Research Center, who was not involved in the study. “This is the first large-scale study we have looking at people’s light exposure patterns and linking it to their long-term health.”
 

What the Study Showed

The participants wore the light sensors for a week, recording day and night light from all sources — whether from sunlight, lamps, streetlights, or digital screens. The researchers then tracked participants for 8 years.

“About half of the people that we looked at had very dim levels of light at night, so less than 1 lux — that basically means less than candlelight,” said Dr. Phillips. “They were the people who were protected against type 2 diabetes.”

Those exposed to more light at night — defined in the study as 12:30 a.m.–6 a.m. — had a higher risk for type 2 diabetes. The risk went up as a dose response, Phillips said: The brighter the light exposure, the higher the diabetes risk.

Participants in the top 10% of light exposure — who were exposed to about 48 lux , or the equivalent of relatively dim overhead lighting — were 1.5 times more likely to develop diabetes than those in the dark. That’s about the risk increase you’d get from having a family history of type 2 diabetes, the researchers said.

Even when they controlled for factors like socioeconomic status, smoking, diet, exercise, and shift work, “we still found there was this very strong relationship between light exposure and risk of type 2 diabetes,” said Dr. Phillips.
 

How Light at Night May Increase Diabetes Risk

The results are not entirely surprising, said endocrinologist Susanne Miedlich, MD, a professor at the University of Rochester Medical Center, Rochester, New York, who was not involved in the study.

Light at night can disrupt the circadian rhythm, or your body’s internal 24-hour cycle. And scientists have long known that circadian rhythm is important for all kinds of biologic processes, including how the body manages blood sugar.

One’s internal clock regulates food intake, sugar absorption, and the release of insulin. Dysregulation in the circadian rhythm is associated with insulin resistance, a precursor to type 2 diabetes.

Dr. Phillips speculated that the sleep hormone melatonin also plays a role.

“Melatonin does a lot of things, but one of the things that it does is it manages our glucose and our insulin responses,” Dr. Phillips said. “So if you’re chronically getting light exposure at night, that’s reducing a level of melatonin that, in the long term, could lead to poor metabolic outcomes.”

Previous studies have explored melatonin supplementation to help manage diabetes. “However, while melatonin clearly regulates circadian rhythms, its utility as a drug to prevent diabetes has not really panned out thus far,” Dr. Miedlich said.
 

Takeaways

Interventional studies are needed to confirm whether strategies like powering down screens, turning off lights, or using blackout curtains could reduce diabetes risk.

That said, “there’s no reason not to tell people to get healthy light exposure patterns and sleep, especially in the context of diabetes,” said Dr. Phillips.

Other known strategies for reducing diabetes risk include intensive lifestyle programs, which reduce risk by up to 58%, and GLP-1 agonists.

“Probably a GLP-1 agonist is going to be more effective,” Dr. Peterson said. “But this is still a fairly large effect without having to go through the expense of buying a GLP-1 or losing a lot of weight or making a big lifestyle change.”

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

Federal officials on July 11 proposed Medicare rates that effectively would cut physician pay by about 3% in 2025, touching off a fresh round of protests from medical associations.

The 2025 draft base rate, or conversion factor, is slated to drop to $32.36 from the current level of $33.29, the Centers for Medicare & Medicaid Services said.

The American Medical Association (AMA), the American Academy of Family Physicians (AAFP) and other groups on July 10 reiterated calls on Congress to revise the law on Medicare payment for physicians and move away from short-term tweaks.

This proposed cut is mostly due to the 5-year freeze in the physician schedule base rate mandated by the 2015 Medicare Access and CHIP Reauthorization Act (MACRA). Congress designed MACRA with an aim of shifting clinicians toward programs that would peg pay increases to quality measures.

Lawmakers have since had to soften the blow of that freeze, acknowledging flaws in MACRA and inflation’s significant toll on medical practices. Yet lawmakers have made temporary fixes, such as a 2.93% increase in current payment that’s set to expire.

“Previous quick fixes have been insufficient — this situation requires a bold, substantial approach,” Bruce A. Scott, MD, the AMA president, said in a statement. “A Band-Aid goes only so far when the patient is in dire need.”

Dr. Scott noted that the Medicare Economic Index — a measure of practice cost inflation — is expected to rise by 3.6% in 2025.

“As a first step, Congress must enact an annual inflationary update to help physician payment rates keep pace with rising practice costs,” Steven P. Furr, MD, AAFP’s president, said in a statement released July 10. “Any payment reductions will threaten practices and exacerbate workforce shortages, preventing patients from accessing the primary care, behavioral health care, and other critical preventive services they need.”

Many medical groups, including the AMA, AAFP, and the Medical Group Management Association, are pressing Congress to pass a law that would tie the conversion factor of the physician fee schedule to inflation.

Influential advisory groups also have backed the idea of increasing the conversion factor. For example, the Medicare Payment Advisory Commission in March recommended to Congress that it increase the 2025 conversion factor, suggesting a bump of half of the projected increase in the Medicare Economic Index.

Congress seems unlikely to revamp the physician fee schedule this year, with members spending significant time away from Washington ahead of the November election.

That could make it likely that Congress’ next action on Medicare payment rates would be another short-term tweak — instead of long-lasting change.

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

Federal officials on July 11 proposed Medicare rates that effectively would cut physician pay by about 3% in 2025, touching off a fresh round of protests from medical associations.

The 2025 draft base rate, or conversion factor, is slated to drop to $32.36 from the current level of $33.29, the Centers for Medicare & Medicaid Services said.

The American Medical Association (AMA), the American Academy of Family Physicians (AAFP) and other groups on July 10 reiterated calls on Congress to revise the law on Medicare payment for physicians and move away from short-term tweaks.

This proposed cut is mostly due to the 5-year freeze in the physician schedule base rate mandated by the 2015 Medicare Access and CHIP Reauthorization Act (MACRA). Congress designed MACRA with an aim of shifting clinicians toward programs that would peg pay increases to quality measures.

Lawmakers have since had to soften the blow of that freeze, acknowledging flaws in MACRA and inflation’s significant toll on medical practices. Yet lawmakers have made temporary fixes, such as a 2.93% increase in current payment that’s set to expire.

“Previous quick fixes have been insufficient — this situation requires a bold, substantial approach,” Bruce A. Scott, MD, the AMA president, said in a statement. “A Band-Aid goes only so far when the patient is in dire need.”

Dr. Scott noted that the Medicare Economic Index — a measure of practice cost inflation — is expected to rise by 3.6% in 2025.

“As a first step, Congress must enact an annual inflationary update to help physician payment rates keep pace with rising practice costs,” Steven P. Furr, MD, AAFP’s president, said in a statement released July 10. “Any payment reductions will threaten practices and exacerbate workforce shortages, preventing patients from accessing the primary care, behavioral health care, and other critical preventive services they need.”

Many medical groups, including the AMA, AAFP, and the Medical Group Management Association, are pressing Congress to pass a law that would tie the conversion factor of the physician fee schedule to inflation.

Influential advisory groups also have backed the idea of increasing the conversion factor. For example, the Medicare Payment Advisory Commission in March recommended to Congress that it increase the 2025 conversion factor, suggesting a bump of half of the projected increase in the Medicare Economic Index.

Congress seems unlikely to revamp the physician fee schedule this year, with members spending significant time away from Washington ahead of the November election.

That could make it likely that Congress’ next action on Medicare payment rates would be another short-term tweak — instead of long-lasting change.

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

Federal officials on July 11 proposed Medicare rates that effectively would cut physician pay by about 3% in 2025, touching off a fresh round of protests from medical associations.

The 2025 draft base rate, or conversion factor, is slated to drop to $32.36 from the current level of $33.29, the Centers for Medicare & Medicaid Services said.

The American Medical Association (AMA), the American Academy of Family Physicians (AAFP) and other groups on July 10 reiterated calls on Congress to revise the law on Medicare payment for physicians and move away from short-term tweaks.

This proposed cut is mostly due to the 5-year freeze in the physician schedule base rate mandated by the 2015 Medicare Access and CHIP Reauthorization Act (MACRA). Congress designed MACRA with an aim of shifting clinicians toward programs that would peg pay increases to quality measures.

Lawmakers have since had to soften the blow of that freeze, acknowledging flaws in MACRA and inflation’s significant toll on medical practices. Yet lawmakers have made temporary fixes, such as a 2.93% increase in current payment that’s set to expire.

“Previous quick fixes have been insufficient — this situation requires a bold, substantial approach,” Bruce A. Scott, MD, the AMA president, said in a statement. “A Band-Aid goes only so far when the patient is in dire need.”

Dr. Scott noted that the Medicare Economic Index — a measure of practice cost inflation — is expected to rise by 3.6% in 2025.

“As a first step, Congress must enact an annual inflationary update to help physician payment rates keep pace with rising practice costs,” Steven P. Furr, MD, AAFP’s president, said in a statement released July 10. “Any payment reductions will threaten practices and exacerbate workforce shortages, preventing patients from accessing the primary care, behavioral health care, and other critical preventive services they need.”

Many medical groups, including the AMA, AAFP, and the Medical Group Management Association, are pressing Congress to pass a law that would tie the conversion factor of the physician fee schedule to inflation.

Influential advisory groups also have backed the idea of increasing the conversion factor. For example, the Medicare Payment Advisory Commission in March recommended to Congress that it increase the 2025 conversion factor, suggesting a bump of half of the projected increase in the Medicare Economic Index.

Congress seems unlikely to revamp the physician fee schedule this year, with members spending significant time away from Washington ahead of the November election.

That could make it likely that Congress’ next action on Medicare payment rates would be another short-term tweak — instead of long-lasting change.

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

Moving for any new opportunity in medicine can feel like starting a new life, not just a new job. This is especially true for residency or fellowships, as taking a step forward in your career is exciting. But in the process, you may be leaving family and friends for an unknown city or region where you will need to find a community. And the changes could be long-term. According to the Association of American Medical Colleges’ 2023 Report on Residents, 57.1% of the individuals who completed residency training between 2013 and 2022 are still practicing in the state where they completed their residency.

The process of planning out the right timeline; securing a comfortable, convenient, and affordable place to live; and meeting people while working long hours in an unfamiliar location can be overwhelming. And in the case of many residency programs and healthcare settings, financial assistance, relocation information, and other resources are scarce.

This news organization spoke to recent residents and medical school faculty members about how to navigate a medical move and set yourself up for success.
 

1. Find Relocation Resources

First things first. Find out what your program or hospital has to offer.

Some institutions help incoming residents by providing housing options or information. The Icahn School of Medicine at Mount Sinai’s Real Estate Division, for example, provides off-campus housing resources that guide new residents and faculty toward safe, convenient places to live in New York City. It also guarantees on-campus or block-leased housing offers to all incoming residents who apply.

Michael Leitman, MD, FACS, professor of surgery and medical education and dean for Graduate Medical Education at the Icahn School of Medicine at Mount Sinai in New York City, recommends connecting with colleagues at your program for guidance on navigating a new city and a new healthcare setting. He encourages incoming residents to use the contact information they receive during the interview and orientation processes to reach out to co-residents and faculty members.

Other residency programs offer partial reimbursement or need-based financial aid to help with the expense of relocation. But this is unlikely to cover all or even most of the cost of a cross-country move.

When Morgen Owens, MD, moved from Alabama to New York City for a physical medicine and rehabilitation residency at Mount Sinai in 2021, her program offered subsidized housing options. But there was little reimbursement for relocation. She paid around $3000 for a one-way rental truck, gas, one night in a hotel, and movers to unload her belongings. She says driving herself kept the price down because full-service movers would have cost her between $4000 and $6000.

If this will strain your finances, several banks offer loans specifically for medical school graduates to cover residency and internship expenses. But be aware that these loans tend to have higher interest rates than federal student loans because they are based on credit score rather than fixed.
 

2. Reach Out and Buddy Up

Reaching out to more senior residents is essential, and some programs facilitate a buddy system for relocation advice.

Family physician Mursal Sekandari, MD, known as “Dr. Mursi,” attended a residency program at St. Luke’s University Hospital–Bethlehem Campus, in Bethlehem, Pennsylvania. The program’s official buddy system paired her with a senior resident who advised her on the area and gave tips for her apartment search.

On the other hand, when America Revere, MD, moved from Texas to Georgia for a surgery residency, she found that her program offered little relocation assistance, financial or otherwise. She leaned on her co-residents, and especially senior ones, for support while she settled in.

Dr. Revere also discovered the importance of accepting invitations to events hosted by both her fellow residents and her program itself, especially in the early stages of residency. “Accepting social invitations is really the only way to get to know people,” she said. “Sure, you’ll meet people at work and get to know their ‘work’ personalities.” But Dr. Revere’s attendings also threw parties, which she says were a great way to connect with a wider group and build a community.

To meet people both within and beyond her own residency program, Dr. Owens joined a group chat for physical medicine and rehab residents in the New York City area. She suggests looking into GroupMe or WhatsApp groups specific to your specialty.
 

3. Play the ‘Doctor Card’

Finding a place to live in an unfamiliar and competitive housing market can be one of the biggest challenges of any move. Dr. Owens’ options were limited by owning a dog, which wouldn’t be allowed in her hospital’s subsidized housing. Instead, she opted to find her own apartment in New York City. Her strategy: Playing the “doctor card.”

“I explained my situation: ‘I’m a doctor moving from out of state,’ ” Owens said. “Own that! These companies and brokers will look at you as a student and think, ‘Oh, she has no money, she has no savings, she’s got all of these loans, how is she going to pay for this apartment?’ But you have to say, ‘I’m a doctor. I’m an incoming resident who has X amount of years of job security. I’m not going to lose my job while living here.’ ”
 

4. Move Early

Dr. Revere found it important to move into her new home 2 weeks before the start of her residency program. Moving in early allowed her to settle in, get to know her area, neighbors, and co-residents, and generally prepare for her first day. It also gave her time to put furniture together — her new vanity alone took 12 hours.

Having a larger window of time before residency can also benefit those who hire movers or have their furniture shipped. When it comes to a cross-country move, it can take a few days to a few weeks for the truck to arrive — which could translate to a few nights or a few weeks without a bed.

“When residency comes, it comes fast,” Dr. Revere said. “It’s very confusing, and the last thing you need is to have half of your stuff unpacked or have no idea where you are or know nobody around you.”
 

5. Make Your New Home Your Sanctuary

During the stress of residency, your home can be a source of peace, and finding that might require trade-offs.

Dr. Sekandari’s parents urged her to live with roommates to save money on rent, but she insisted that spending more for solitude would be worth it. For her first year of residency, she barely saw her apartment. But when she did, she felt grateful to be in such a tranquil place to ease some of the stress of studying. “If you feel uncomfortable while you’re dealing with something stressful, the stress just exponentially increases,” she said. Creating an environment where you can really relax “makes a difference in how you respond to everything else around you.”

Dr. Revere agrees, urging medical professionals — and particularly residents — to invest in the most comfortable mattresses and bedding they can. Whether you are working nights, she also recommends blackout curtains to help facilitate daytime naps or better sleep in general, especially among the bright lights of bigger cities.

“You’re going to need somewhere to decompress,” she said. “That will look different for everyone. But I would definitely invest in your apartment to make it a sanctuary away from work.”
 

6. Consider a ‘Live’ Stress Reliever

When it comes to crucial stress relief during residency, “I like mine live,” Dr. Revere said in a YouTube vlog while petting her cat, Calyx.

Taking on the added responsibility of a pet during residency or any medical role may seem counterintuitive. But Revere has zero regrets about bringing Calyx along on her journey. “Cats are very easy,” she said. “I have nothing but wonderful things to say about having a cat during my difficult surgical residency.”

Dr. Owens admits that moving to New York City with her dog was difficult during her first years of residency. She worked an average of 80 hours each week and had little time for walks. She made room in her budget for dog walkers. Thankfully, her hours have eased up as she has progressed through her program, and she can now take her dog on longer walks every day. “He definitely has a better life now that I work fewer hours,” she said.

Once you’ve prepared, made the move, and found your village, it’s time for the real work to begin. “The first couple of months are certainly a challenge of adjusting to a new hospital, a new electronic medical record, a new culture, and a new geographic location,” said Dr. Leitman, who has relocated several times. “But at the end of the day ... it’s you and the patient.” By minimizing stress and getting the support you need, it can even be “a fun process,” Dr. Mursi added, “so make it an exciting chapter in your life.”

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

Moving for any new opportunity in medicine can feel like starting a new life, not just a new job. This is especially true for residency or fellowships, as taking a step forward in your career is exciting. But in the process, you may be leaving family and friends for an unknown city or region where you will need to find a community. And the changes could be long-term. According to the Association of American Medical Colleges’ 2023 Report on Residents, 57.1% of the individuals who completed residency training between 2013 and 2022 are still practicing in the state where they completed their residency.

The process of planning out the right timeline; securing a comfortable, convenient, and affordable place to live; and meeting people while working long hours in an unfamiliar location can be overwhelming. And in the case of many residency programs and healthcare settings, financial assistance, relocation information, and other resources are scarce.

This news organization spoke to recent residents and medical school faculty members about how to navigate a medical move and set yourself up for success.
 

1. Find Relocation Resources

First things first. Find out what your program or hospital has to offer.

Some institutions help incoming residents by providing housing options or information. The Icahn School of Medicine at Mount Sinai’s Real Estate Division, for example, provides off-campus housing resources that guide new residents and faculty toward safe, convenient places to live in New York City. It also guarantees on-campus or block-leased housing offers to all incoming residents who apply.

Michael Leitman, MD, FACS, professor of surgery and medical education and dean for Graduate Medical Education at the Icahn School of Medicine at Mount Sinai in New York City, recommends connecting with colleagues at your program for guidance on navigating a new city and a new healthcare setting. He encourages incoming residents to use the contact information they receive during the interview and orientation processes to reach out to co-residents and faculty members.

Other residency programs offer partial reimbursement or need-based financial aid to help with the expense of relocation. But this is unlikely to cover all or even most of the cost of a cross-country move.

When Morgen Owens, MD, moved from Alabama to New York City for a physical medicine and rehabilitation residency at Mount Sinai in 2021, her program offered subsidized housing options. But there was little reimbursement for relocation. She paid around $3000 for a one-way rental truck, gas, one night in a hotel, and movers to unload her belongings. She says driving herself kept the price down because full-service movers would have cost her between $4000 and $6000.

If this will strain your finances, several banks offer loans specifically for medical school graduates to cover residency and internship expenses. But be aware that these loans tend to have higher interest rates than federal student loans because they are based on credit score rather than fixed.
 

2. Reach Out and Buddy Up

Reaching out to more senior residents is essential, and some programs facilitate a buddy system for relocation advice.

Family physician Mursal Sekandari, MD, known as “Dr. Mursi,” attended a residency program at St. Luke’s University Hospital–Bethlehem Campus, in Bethlehem, Pennsylvania. The program’s official buddy system paired her with a senior resident who advised her on the area and gave tips for her apartment search.

On the other hand, when America Revere, MD, moved from Texas to Georgia for a surgery residency, she found that her program offered little relocation assistance, financial or otherwise. She leaned on her co-residents, and especially senior ones, for support while she settled in.

Dr. Revere also discovered the importance of accepting invitations to events hosted by both her fellow residents and her program itself, especially in the early stages of residency. “Accepting social invitations is really the only way to get to know people,” she said. “Sure, you’ll meet people at work and get to know their ‘work’ personalities.” But Dr. Revere’s attendings also threw parties, which she says were a great way to connect with a wider group and build a community.

To meet people both within and beyond her own residency program, Dr. Owens joined a group chat for physical medicine and rehab residents in the New York City area. She suggests looking into GroupMe or WhatsApp groups specific to your specialty.
 

3. Play the ‘Doctor Card’

Finding a place to live in an unfamiliar and competitive housing market can be one of the biggest challenges of any move. Dr. Owens’ options were limited by owning a dog, which wouldn’t be allowed in her hospital’s subsidized housing. Instead, she opted to find her own apartment in New York City. Her strategy: Playing the “doctor card.”

“I explained my situation: ‘I’m a doctor moving from out of state,’ ” Owens said. “Own that! These companies and brokers will look at you as a student and think, ‘Oh, she has no money, she has no savings, she’s got all of these loans, how is she going to pay for this apartment?’ But you have to say, ‘I’m a doctor. I’m an incoming resident who has X amount of years of job security. I’m not going to lose my job while living here.’ ”
 

4. Move Early

Dr. Revere found it important to move into her new home 2 weeks before the start of her residency program. Moving in early allowed her to settle in, get to know her area, neighbors, and co-residents, and generally prepare for her first day. It also gave her time to put furniture together — her new vanity alone took 12 hours.

Having a larger window of time before residency can also benefit those who hire movers or have their furniture shipped. When it comes to a cross-country move, it can take a few days to a few weeks for the truck to arrive — which could translate to a few nights or a few weeks without a bed.

“When residency comes, it comes fast,” Dr. Revere said. “It’s very confusing, and the last thing you need is to have half of your stuff unpacked or have no idea where you are or know nobody around you.”
 

5. Make Your New Home Your Sanctuary

During the stress of residency, your home can be a source of peace, and finding that might require trade-offs.

Dr. Sekandari’s parents urged her to live with roommates to save money on rent, but she insisted that spending more for solitude would be worth it. For her first year of residency, she barely saw her apartment. But when she did, she felt grateful to be in such a tranquil place to ease some of the stress of studying. “If you feel uncomfortable while you’re dealing with something stressful, the stress just exponentially increases,” she said. Creating an environment where you can really relax “makes a difference in how you respond to everything else around you.”

Dr. Revere agrees, urging medical professionals — and particularly residents — to invest in the most comfortable mattresses and bedding they can. Whether you are working nights, she also recommends blackout curtains to help facilitate daytime naps or better sleep in general, especially among the bright lights of bigger cities.

“You’re going to need somewhere to decompress,” she said. “That will look different for everyone. But I would definitely invest in your apartment to make it a sanctuary away from work.”
 

6. Consider a ‘Live’ Stress Reliever

When it comes to crucial stress relief during residency, “I like mine live,” Dr. Revere said in a YouTube vlog while petting her cat, Calyx.

Taking on the added responsibility of a pet during residency or any medical role may seem counterintuitive. But Revere has zero regrets about bringing Calyx along on her journey. “Cats are very easy,” she said. “I have nothing but wonderful things to say about having a cat during my difficult surgical residency.”

Dr. Owens admits that moving to New York City with her dog was difficult during her first years of residency. She worked an average of 80 hours each week and had little time for walks. She made room in her budget for dog walkers. Thankfully, her hours have eased up as she has progressed through her program, and she can now take her dog on longer walks every day. “He definitely has a better life now that I work fewer hours,” she said.

Once you’ve prepared, made the move, and found your village, it’s time for the real work to begin. “The first couple of months are certainly a challenge of adjusting to a new hospital, a new electronic medical record, a new culture, and a new geographic location,” said Dr. Leitman, who has relocated several times. “But at the end of the day ... it’s you and the patient.” By minimizing stress and getting the support you need, it can even be “a fun process,” Dr. Mursi added, “so make it an exciting chapter in your life.”

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

Moving for any new opportunity in medicine can feel like starting a new life, not just a new job. This is especially true for residency or fellowships, as taking a step forward in your career is exciting. But in the process, you may be leaving family and friends for an unknown city or region where you will need to find a community. And the changes could be long-term. According to the Association of American Medical Colleges’ 2023 Report on Residents, 57.1% of the individuals who completed residency training between 2013 and 2022 are still practicing in the state where they completed their residency.

The process of planning out the right timeline; securing a comfortable, convenient, and affordable place to live; and meeting people while working long hours in an unfamiliar location can be overwhelming. And in the case of many residency programs and healthcare settings, financial assistance, relocation information, and other resources are scarce.

This news organization spoke to recent residents and medical school faculty members about how to navigate a medical move and set yourself up for success.
 

1. Find Relocation Resources

First things first. Find out what your program or hospital has to offer.

Some institutions help incoming residents by providing housing options or information. The Icahn School of Medicine at Mount Sinai’s Real Estate Division, for example, provides off-campus housing resources that guide new residents and faculty toward safe, convenient places to live in New York City. It also guarantees on-campus or block-leased housing offers to all incoming residents who apply.

Michael Leitman, MD, FACS, professor of surgery and medical education and dean for Graduate Medical Education at the Icahn School of Medicine at Mount Sinai in New York City, recommends connecting with colleagues at your program for guidance on navigating a new city and a new healthcare setting. He encourages incoming residents to use the contact information they receive during the interview and orientation processes to reach out to co-residents and faculty members.

Other residency programs offer partial reimbursement or need-based financial aid to help with the expense of relocation. But this is unlikely to cover all or even most of the cost of a cross-country move.

When Morgen Owens, MD, moved from Alabama to New York City for a physical medicine and rehabilitation residency at Mount Sinai in 2021, her program offered subsidized housing options. But there was little reimbursement for relocation. She paid around $3000 for a one-way rental truck, gas, one night in a hotel, and movers to unload her belongings. She says driving herself kept the price down because full-service movers would have cost her between $4000 and $6000.

If this will strain your finances, several banks offer loans specifically for medical school graduates to cover residency and internship expenses. But be aware that these loans tend to have higher interest rates than federal student loans because they are based on credit score rather than fixed.
 

2. Reach Out and Buddy Up

Reaching out to more senior residents is essential, and some programs facilitate a buddy system for relocation advice.

Family physician Mursal Sekandari, MD, known as “Dr. Mursi,” attended a residency program at St. Luke’s University Hospital–Bethlehem Campus, in Bethlehem, Pennsylvania. The program’s official buddy system paired her with a senior resident who advised her on the area and gave tips for her apartment search.

On the other hand, when America Revere, MD, moved from Texas to Georgia for a surgery residency, she found that her program offered little relocation assistance, financial or otherwise. She leaned on her co-residents, and especially senior ones, for support while she settled in.

Dr. Revere also discovered the importance of accepting invitations to events hosted by both her fellow residents and her program itself, especially in the early stages of residency. “Accepting social invitations is really the only way to get to know people,” she said. “Sure, you’ll meet people at work and get to know their ‘work’ personalities.” But Dr. Revere’s attendings also threw parties, which she says were a great way to connect with a wider group and build a community.

To meet people both within and beyond her own residency program, Dr. Owens joined a group chat for physical medicine and rehab residents in the New York City area. She suggests looking into GroupMe or WhatsApp groups specific to your specialty.
 

3. Play the ‘Doctor Card’

Finding a place to live in an unfamiliar and competitive housing market can be one of the biggest challenges of any move. Dr. Owens’ options were limited by owning a dog, which wouldn’t be allowed in her hospital’s subsidized housing. Instead, she opted to find her own apartment in New York City. Her strategy: Playing the “doctor card.”

“I explained my situation: ‘I’m a doctor moving from out of state,’ ” Owens said. “Own that! These companies and brokers will look at you as a student and think, ‘Oh, she has no money, she has no savings, she’s got all of these loans, how is she going to pay for this apartment?’ But you have to say, ‘I’m a doctor. I’m an incoming resident who has X amount of years of job security. I’m not going to lose my job while living here.’ ”
 

4. Move Early

Dr. Revere found it important to move into her new home 2 weeks before the start of her residency program. Moving in early allowed her to settle in, get to know her area, neighbors, and co-residents, and generally prepare for her first day. It also gave her time to put furniture together — her new vanity alone took 12 hours.

Having a larger window of time before residency can also benefit those who hire movers or have their furniture shipped. When it comes to a cross-country move, it can take a few days to a few weeks for the truck to arrive — which could translate to a few nights or a few weeks without a bed.

“When residency comes, it comes fast,” Dr. Revere said. “It’s very confusing, and the last thing you need is to have half of your stuff unpacked or have no idea where you are or know nobody around you.”
 

5. Make Your New Home Your Sanctuary

During the stress of residency, your home can be a source of peace, and finding that might require trade-offs.

Dr. Sekandari’s parents urged her to live with roommates to save money on rent, but she insisted that spending more for solitude would be worth it. For her first year of residency, she barely saw her apartment. But when she did, she felt grateful to be in such a tranquil place to ease some of the stress of studying. “If you feel uncomfortable while you’re dealing with something stressful, the stress just exponentially increases,” she said. Creating an environment where you can really relax “makes a difference in how you respond to everything else around you.”

Dr. Revere agrees, urging medical professionals — and particularly residents — to invest in the most comfortable mattresses and bedding they can. Whether you are working nights, she also recommends blackout curtains to help facilitate daytime naps or better sleep in general, especially among the bright lights of bigger cities.

“You’re going to need somewhere to decompress,” she said. “That will look different for everyone. But I would definitely invest in your apartment to make it a sanctuary away from work.”
 

6. Consider a ‘Live’ Stress Reliever

When it comes to crucial stress relief during residency, “I like mine live,” Dr. Revere said in a YouTube vlog while petting her cat, Calyx.

Taking on the added responsibility of a pet during residency or any medical role may seem counterintuitive. But Revere has zero regrets about bringing Calyx along on her journey. “Cats are very easy,” she said. “I have nothing but wonderful things to say about having a cat during my difficult surgical residency.”

Dr. Owens admits that moving to New York City with her dog was difficult during her first years of residency. She worked an average of 80 hours each week and had little time for walks. She made room in her budget for dog walkers. Thankfully, her hours have eased up as she has progressed through her program, and she can now take her dog on longer walks every day. “He definitely has a better life now that I work fewer hours,” she said.

Once you’ve prepared, made the move, and found your village, it’s time for the real work to begin. “The first couple of months are certainly a challenge of adjusting to a new hospital, a new electronic medical record, a new culture, and a new geographic location,” said Dr. Leitman, who has relocated several times. “But at the end of the day ... it’s you and the patient.” By minimizing stress and getting the support you need, it can even be “a fun process,” Dr. Mursi added, “so make it an exciting chapter in your life.”

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

More than 90% of internet users are active on social media, which had 4.76 billion users worldwide in January 2023. The digital revolution has reshaped the news landscape and changed how users interact with information. Social media has fostered an active relationship with the media, including the ability to interact directly with the content presented. It also has augmented media’s ability to reach a large audience with tight deadlines.

These developments suggest that social media can be a useful tool in everyday medical practice for professionals and patients. But social media also can spread misinformation, as happened during the COVID-19 pandemic.

This characteristic is the focus of the latest research by Fabiana Zollo, a computer science professor at Ca’ Foscari University of Venice, Italy, and coordinator of the Data Science for Society laboratory. The research was published in The BMJ. Ms. Zollo’s research group aims to assess the effect of social media on misinformation and consequent behaviors related to health. “The study results focus primarily on two topics, the COVID-19 pandemic and vaccinations, but can also be applied to other health-related behaviors such as smoking and diet,” Ms. Zollo told Univadis Italy.

Social media has become an important tool for public health organizations to inform and educate citizens. Institutions can use it to monitor choices and understand which topics are being discussed most at a given time, thus comprehending how the topics evolve and take shape in public discourse. “This could lead to the emergence of people’s perceptions, allowing us to understand, among other things, what the population’s needs might be, including informational needs,” said Ms. Zollo.
 

Tenuous Causal Link

While social media offers public health organizations the opportunity to inform and engage the public, it also raises concerns about misinformation and the difficulty of measuring its effect on health behavior. Although some studies have observed correlations between exposure to misinformation on social media and levels of adherence to vaccination campaigns, establishing a causal link is complex. As the authors emphasize, “despite the importance of the effect of social media and misinformation on people’s behavior and the broad hypotheses within public and political debates, the current state of the art cannot provide definitive conclusions on a clear causal association between social media and health behaviors.” Establishing a clear causal link between information obtained from social media and offline behavior is challenging due to methodologic limitations and the complexity of connections between online and offline behaviors. Studies often rely on self-reported data, which may not accurately reflect real behaviors, and struggle to isolate the effect of social media from other external influences. Moreover, many studies primarily focus on Western countries, limiting the generalizability of the results to other cultural and geographical conditions.

Another issue highlighted by Ms. Zollo and colleagues is the lack of complete and representative data. Studies often lack detailed information about participants, such as demographic or geolocation data, and rely on limited samples. This lack makes it difficult to assess the effect of misinformation on different segments of the population and in different geographic areas.

“The main methodologic difficulty concerns behavior, which is difficult to measure because it would require tracking a person’s actions over time and having a shared methodology to do so. We need to understand whether online stated intentions do or do not translate into actual behaviors,” said Ms. Zollo. Therefore, despite the recognized importance of the effect of social media and misinformation on people’s general behavior and the broad hypotheses expressed within public and political debates, the current state of the art cannot provide definitive conclusions on a causal association between social media and health behaviors.
 

Institutions’ Role

Social media is a fertile ground for the formation of echo chambers (where users find themselves dialoguing with like-minded people, forming a distorted impression of the real prevalence of that opinion) and for reinforcing polarized positions around certain topics. “We know that on certain topics, especially those related to health, there is a lot of misinformation circulating precisely because it is easy to leverage factors such as fear and beliefs, even the difficulties in understanding the technical aspects of a message,” said Ms. Zollo. Moreover, institutions have not always provided timely information during the pandemic. “Often, when there is a gap in response to a specific informational need, people turn elsewhere, where those questions find answers. And even if the response is not of high quality, it sometimes confirms the idea that the user had already created in their mind.”

The article published in The BMJ aims primarily to provide information and evaluation insights to institutions rather than professionals or healthcare workers. “We would like to spark the interest of institutions and ministries that can analyze this type of data and integrate it into their monitoring system. Social monitoring (the observation of what happens on social media) is a practice that the World Health Organization is also evaluating and trying to integrate with more traditional tools, such as questionnaires. The aim is to understand as well as possible what a population thinks about a particular health measure, such as a vaccine: Through data obtained from social monitoring, a more realistic and comprehensive view of the problem could be achieved,” said Ms. Zollo.
 

A Doctor’s Role

And this is where the doctor comes in: All the information thus obtained allows for identifying the needs that the population expresses and that “could push a patient to turn elsewhere, toward sources that provide answers even if of dubious quality or extremely oversimplified.” The doctor can enter this landscape by trying to understand, even with the data provided by institutions, what needs the patients are trying to fill and what drives them to seek elsewhere and to look for a reference community that offers the relevant confirmations.

From the doctor’s perspective, therefore, it can be useful to understand how these dynamics arise and evolve because they could help improve interactions with patients. At the institutional level, social monitoring would be an excellent tool for providing services to doctors who, in turn, offer a service to patients. If it were possible to identify areas where a disinformation narrative is developing from the outset, both the doctor and the institutions would benefit.
 

Misinformation vs Disinformation

The rapid spread of false or misleading information on social media can undermine trust in healthcare institutions and negatively influence health-related behaviors. Ms. Zollo and colleagues, in fact, speak of misinformation in their discussion, not disinformation. “In English, a distinction is made between misinformation and disinformation, a distinction that we are also adopting in Italian. When we talk about misinformation, we mean information that is generally false, inaccurate, or misleading but has not been created with the intention to harm, an intention that is present in disinformation,” said Ms. Zollo.

The distinction is often not easy to define even at the operational level, but in her studies, Ms. Zollo is mainly interested in understanding how the end user interacts with content, not the purposes for which that content was created. “This allows us to focus on users and the relationships that are created on various social platforms, thus bypassing the author of that information and focusing on how misinformation arises and evolves so that it can be effectively combated before it translates into action (ie, into incorrect health choices),” said Ms. Zollo.
 

This story was translated from Univadis Italy, which is part of the Medscape Professional Network, using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article appeared on Medscape.com.

More than 90% of internet users are active on social media, which had 4.76 billion users worldwide in January 2023. The digital revolution has reshaped the news landscape and changed how users interact with information. Social media has fostered an active relationship with the media, including the ability to interact directly with the content presented. It also has augmented media’s ability to reach a large audience with tight deadlines.

These developments suggest that social media can be a useful tool in everyday medical practice for professionals and patients. But social media also can spread misinformation, as happened during the COVID-19 pandemic.

This characteristic is the focus of the latest research by Fabiana Zollo, a computer science professor at Ca’ Foscari University of Venice, Italy, and coordinator of the Data Science for Society laboratory. The research was published in The BMJ. Ms. Zollo’s research group aims to assess the effect of social media on misinformation and consequent behaviors related to health. “The study results focus primarily on two topics, the COVID-19 pandemic and vaccinations, but can also be applied to other health-related behaviors such as smoking and diet,” Ms. Zollo told Univadis Italy.

Social media has become an important tool for public health organizations to inform and educate citizens. Institutions can use it to monitor choices and understand which topics are being discussed most at a given time, thus comprehending how the topics evolve and take shape in public discourse. “This could lead to the emergence of people’s perceptions, allowing us to understand, among other things, what the population’s needs might be, including informational needs,” said Ms. Zollo.
 

Tenuous Causal Link

While social media offers public health organizations the opportunity to inform and engage the public, it also raises concerns about misinformation and the difficulty of measuring its effect on health behavior. Although some studies have observed correlations between exposure to misinformation on social media and levels of adherence to vaccination campaigns, establishing a causal link is complex. As the authors emphasize, “despite the importance of the effect of social media and misinformation on people’s behavior and the broad hypotheses within public and political debates, the current state of the art cannot provide definitive conclusions on a clear causal association between social media and health behaviors.” Establishing a clear causal link between information obtained from social media and offline behavior is challenging due to methodologic limitations and the complexity of connections between online and offline behaviors. Studies often rely on self-reported data, which may not accurately reflect real behaviors, and struggle to isolate the effect of social media from other external influences. Moreover, many studies primarily focus on Western countries, limiting the generalizability of the results to other cultural and geographical conditions.

Another issue highlighted by Ms. Zollo and colleagues is the lack of complete and representative data. Studies often lack detailed information about participants, such as demographic or geolocation data, and rely on limited samples. This lack makes it difficult to assess the effect of misinformation on different segments of the population and in different geographic areas.

“The main methodologic difficulty concerns behavior, which is difficult to measure because it would require tracking a person’s actions over time and having a shared methodology to do so. We need to understand whether online stated intentions do or do not translate into actual behaviors,” said Ms. Zollo. Therefore, despite the recognized importance of the effect of social media and misinformation on people’s general behavior and the broad hypotheses expressed within public and political debates, the current state of the art cannot provide definitive conclusions on a causal association between social media and health behaviors.
 

Institutions’ Role

Social media is a fertile ground for the formation of echo chambers (where users find themselves dialoguing with like-minded people, forming a distorted impression of the real prevalence of that opinion) and for reinforcing polarized positions around certain topics. “We know that on certain topics, especially those related to health, there is a lot of misinformation circulating precisely because it is easy to leverage factors such as fear and beliefs, even the difficulties in understanding the technical aspects of a message,” said Ms. Zollo. Moreover, institutions have not always provided timely information during the pandemic. “Often, when there is a gap in response to a specific informational need, people turn elsewhere, where those questions find answers. And even if the response is not of high quality, it sometimes confirms the idea that the user had already created in their mind.”

The article published in The BMJ aims primarily to provide information and evaluation insights to institutions rather than professionals or healthcare workers. “We would like to spark the interest of institutions and ministries that can analyze this type of data and integrate it into their monitoring system. Social monitoring (the observation of what happens on social media) is a practice that the World Health Organization is also evaluating and trying to integrate with more traditional tools, such as questionnaires. The aim is to understand as well as possible what a population thinks about a particular health measure, such as a vaccine: Through data obtained from social monitoring, a more realistic and comprehensive view of the problem could be achieved,” said Ms. Zollo.
 

A Doctor’s Role

And this is where the doctor comes in: All the information thus obtained allows for identifying the needs that the population expresses and that “could push a patient to turn elsewhere, toward sources that provide answers even if of dubious quality or extremely oversimplified.” The doctor can enter this landscape by trying to understand, even with the data provided by institutions, what needs the patients are trying to fill and what drives them to seek elsewhere and to look for a reference community that offers the relevant confirmations.

From the doctor’s perspective, therefore, it can be useful to understand how these dynamics arise and evolve because they could help improve interactions with patients. At the institutional level, social monitoring would be an excellent tool for providing services to doctors who, in turn, offer a service to patients. If it were possible to identify areas where a disinformation narrative is developing from the outset, both the doctor and the institutions would benefit.
 

Misinformation vs Disinformation

The rapid spread of false or misleading information on social media can undermine trust in healthcare institutions and negatively influence health-related behaviors. Ms. Zollo and colleagues, in fact, speak of misinformation in their discussion, not disinformation. “In English, a distinction is made between misinformation and disinformation, a distinction that we are also adopting in Italian. When we talk about misinformation, we mean information that is generally false, inaccurate, or misleading but has not been created with the intention to harm, an intention that is present in disinformation,” said Ms. Zollo.

The distinction is often not easy to define even at the operational level, but in her studies, Ms. Zollo is mainly interested in understanding how the end user interacts with content, not the purposes for which that content was created. “This allows us to focus on users and the relationships that are created on various social platforms, thus bypassing the author of that information and focusing on how misinformation arises and evolves so that it can be effectively combated before it translates into action (ie, into incorrect health choices),” said Ms. Zollo.
 

This story was translated from Univadis Italy, which is part of the Medscape Professional Network, using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article appeared on Medscape.com.

More than 90% of internet users are active on social media, which had 4.76 billion users worldwide in January 2023. The digital revolution has reshaped the news landscape and changed how users interact with information. Social media has fostered an active relationship with the media, including the ability to interact directly with the content presented. It also has augmented media’s ability to reach a large audience with tight deadlines.

These developments suggest that social media can be a useful tool in everyday medical practice for professionals and patients. But social media also can spread misinformation, as happened during the COVID-19 pandemic.

This characteristic is the focus of the latest research by Fabiana Zollo, a computer science professor at Ca’ Foscari University of Venice, Italy, and coordinator of the Data Science for Society laboratory. The research was published in The BMJ. Ms. Zollo’s research group aims to assess the effect of social media on misinformation and consequent behaviors related to health. “The study results focus primarily on two topics, the COVID-19 pandemic and vaccinations, but can also be applied to other health-related behaviors such as smoking and diet,” Ms. Zollo told Univadis Italy.

Social media has become an important tool for public health organizations to inform and educate citizens. Institutions can use it to monitor choices and understand which topics are being discussed most at a given time, thus comprehending how the topics evolve and take shape in public discourse. “This could lead to the emergence of people’s perceptions, allowing us to understand, among other things, what the population’s needs might be, including informational needs,” said Ms. Zollo.
 

Tenuous Causal Link

While social media offers public health organizations the opportunity to inform and engage the public, it also raises concerns about misinformation and the difficulty of measuring its effect on health behavior. Although some studies have observed correlations between exposure to misinformation on social media and levels of adherence to vaccination campaigns, establishing a causal link is complex. As the authors emphasize, “despite the importance of the effect of social media and misinformation on people’s behavior and the broad hypotheses within public and political debates, the current state of the art cannot provide definitive conclusions on a clear causal association between social media and health behaviors.” Establishing a clear causal link between information obtained from social media and offline behavior is challenging due to methodologic limitations and the complexity of connections between online and offline behaviors. Studies often rely on self-reported data, which may not accurately reflect real behaviors, and struggle to isolate the effect of social media from other external influences. Moreover, many studies primarily focus on Western countries, limiting the generalizability of the results to other cultural and geographical conditions.

Another issue highlighted by Ms. Zollo and colleagues is the lack of complete and representative data. Studies often lack detailed information about participants, such as demographic or geolocation data, and rely on limited samples. This lack makes it difficult to assess the effect of misinformation on different segments of the population and in different geographic areas.

“The main methodologic difficulty concerns behavior, which is difficult to measure because it would require tracking a person’s actions over time and having a shared methodology to do so. We need to understand whether online stated intentions do or do not translate into actual behaviors,” said Ms. Zollo. Therefore, despite the recognized importance of the effect of social media and misinformation on people’s general behavior and the broad hypotheses expressed within public and political debates, the current state of the art cannot provide definitive conclusions on a causal association between social media and health behaviors.
 

Institutions’ Role

Social media is a fertile ground for the formation of echo chambers (where users find themselves dialoguing with like-minded people, forming a distorted impression of the real prevalence of that opinion) and for reinforcing polarized positions around certain topics. “We know that on certain topics, especially those related to health, there is a lot of misinformation circulating precisely because it is easy to leverage factors such as fear and beliefs, even the difficulties in understanding the technical aspects of a message,” said Ms. Zollo. Moreover, institutions have not always provided timely information during the pandemic. “Often, when there is a gap in response to a specific informational need, people turn elsewhere, where those questions find answers. And even if the response is not of high quality, it sometimes confirms the idea that the user had already created in their mind.”

The article published in The BMJ aims primarily to provide information and evaluation insights to institutions rather than professionals or healthcare workers. “We would like to spark the interest of institutions and ministries that can analyze this type of data and integrate it into their monitoring system. Social monitoring (the observation of what happens on social media) is a practice that the World Health Organization is also evaluating and trying to integrate with more traditional tools, such as questionnaires. The aim is to understand as well as possible what a population thinks about a particular health measure, such as a vaccine: Through data obtained from social monitoring, a more realistic and comprehensive view of the problem could be achieved,” said Ms. Zollo.
 

A Doctor’s Role

And this is where the doctor comes in: All the information thus obtained allows for identifying the needs that the population expresses and that “could push a patient to turn elsewhere, toward sources that provide answers even if of dubious quality or extremely oversimplified.” The doctor can enter this landscape by trying to understand, even with the data provided by institutions, what needs the patients are trying to fill and what drives them to seek elsewhere and to look for a reference community that offers the relevant confirmations.

From the doctor’s perspective, therefore, it can be useful to understand how these dynamics arise and evolve because they could help improve interactions with patients. At the institutional level, social monitoring would be an excellent tool for providing services to doctors who, in turn, offer a service to patients. If it were possible to identify areas where a disinformation narrative is developing from the outset, both the doctor and the institutions would benefit.
 

Misinformation vs Disinformation

The rapid spread of false or misleading information on social media can undermine trust in healthcare institutions and negatively influence health-related behaviors. Ms. Zollo and colleagues, in fact, speak of misinformation in their discussion, not disinformation. “In English, a distinction is made between misinformation and disinformation, a distinction that we are also adopting in Italian. When we talk about misinformation, we mean information that is generally false, inaccurate, or misleading but has not been created with the intention to harm, an intention that is present in disinformation,” said Ms. Zollo.

The distinction is often not easy to define even at the operational level, but in her studies, Ms. Zollo is mainly interested in understanding how the end user interacts with content, not the purposes for which that content was created. “This allows us to focus on users and the relationships that are created on various social platforms, thus bypassing the author of that information and focusing on how misinformation arises and evolves so that it can be effectively combated before it translates into action (ie, into incorrect health choices),” said Ms. Zollo.
 

This story was translated from Univadis Italy, which is part of the Medscape Professional Network, 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.

Patients with treatment-refractory cancers who did not meet eligibility criteria for a pan-cancer clinical trial but received waivers allowing them to participate had similar outcomes to patients who participated without waivers, a new analysis revealed.

The study, published online in Clinical Cancer Research, highlighted the potential benefits of broadening eligibility criteria for clinical trials.

“It is well known that results in an ‘ideal’ population do not always translate to the real-world population,” senior author Hans Gelderblom, MD, chair of the Department of Medical Oncology at the Leiden University Medical Center, Leiden, the Netherlands, said in a press release. “Eligibility criteria are often too strict, and educated exemptions by experienced investigators can help individual patients, especially in a last-resort trial.”

Although experts have expressed interest in improving trial inclusivity, it’s unclear how doing so might impact treatment safety and efficacy.

In the Drug Rediscovery Protocol (DRUP), Dr. Gelderblom and colleagues examined the impact of broadening trial eligibility on patient outcomes. DRUP is an ongoing Dutch national, multicenter, pan-cancer, nonrandomized clinical trial in which patients are treated off-label with approved molecularly targeted or immunotherapies.

In the trial, 1019 patients with treatment-refractory disease were matched to one of the available study drugs based on their tumor molecular profile and enrolled in parallel cohorts. Cohorts were defined by tumor type, molecular profile, and study drug.

Among these patients, 82 patients — 8% of the cohort — were granted waivers to participate. Most waivers (45%) were granted as exceptions to general- or drug-related eligibility criteria, often because of out-of-range lab results. Other categories included treatment and testing exceptions, as well as out-of-window testing. 

The researchers then compared safety and efficacy outcomes between the 82 participants granted waivers and the 937 who did not receive waivers. 

Overall, Dr. Gelderblom’s team found that the rate of serious adverse events was similar between patients who received a waiver and those who did not: 39% vs 41%, respectively.

A relationship between waivers and serious adverse events was deemed “unlikely” for 86% of patients and “possible” for 14%. In two cases concerning a direct relationship, for instance, patients who received waivers for decreased hemoglobin levels developed anemia.

The rate of clinical benefit — defined as an objective response or stable disease for at least 16 weeks — was similar between the groups. Overall, 40% of patients who received a waiver (33 of 82) had a clinical benefit vs 33% of patients without a waiver (P = .43). Median overall survival for patients that received a waiver was also similar — 11 months in the waiver group and 8 months in the nonwaiver group (hazard ratio, 0.87; P = .33).

“Safety and clinical benefit were preserved in patients for whom a waiver was granted,” the authors concluded.

The study had several limitations. The diversity of cancer types, treatments, and reasons for protocol exemptions precluded subgroup analyses. In addition, because the decision to grant waivers depended in large part on the likelihood of clinical benefit, “it is possible that patients who received waivers were positively selected for clinical benefit compared with the general study population,” the authors wrote.

So, “although the clinical benefit rate of the patient group for whom a waiver was granted appears to be slightly higher, this difference might be explained by the selection process of the central study team, in which each waiver request was carefully considered, weighing the risks and potential benefits for the patient in question,” the authors explained.

Overall, “these findings advocate for a broader and more inclusive design when establishing novel trials, paving the way for a more effective and tailored application of cancer therapies in patients with advanced or refractory disease,” Dr. Gelderblom said.

Commenting on the study, Bishal Gyawali, MD, PhD, said that “relaxing eligibility criteria is important, and I support this. Trials should include patients that are more representative of the real-world, so that results are generalizable.”

However, “the paper overemphasized efficacy,” said Dr. Gyawali, from Queen’s University, Kingston, Ontario, Canada. The sample size of waiver-granted patients was small, plus “the clinical benefit rate is not a marker of efficacy.

“The response rate is somewhat better, but for a heterogeneous study with multiple targets and drugs, it is difficult to say much about treatment effects here,” Dr. Gyawali added. Overall, “we shouldn’t read too much into treatment benefits based on these numbers.”

Funding for the study was provided by the Stelvio for Life Foundation, the Dutch Cancer Society, Amgen, AstraZeneca, Bayer, Boehringer Ingelheim, Bristol Myers Squibb, pharma&, Eisai Co., Ipsen, Merck Sharp & Dohme, Novartis, Pfizer, and Roche. Dr. Gelderblom declared no conflicts of interest, and Dr. Gyawali declared no conflicts of interest related to his comment.
 

A version of this article appeared on Medscape.com.

Patients with treatment-refractory cancers who did not meet eligibility criteria for a pan-cancer clinical trial but received waivers allowing them to participate had similar outcomes to patients who participated without waivers, a new analysis revealed.

The study, published online in Clinical Cancer Research, highlighted the potential benefits of broadening eligibility criteria for clinical trials.

“It is well known that results in an ‘ideal’ population do not always translate to the real-world population,” senior author Hans Gelderblom, MD, chair of the Department of Medical Oncology at the Leiden University Medical Center, Leiden, the Netherlands, said in a press release. “Eligibility criteria are often too strict, and educated exemptions by experienced investigators can help individual patients, especially in a last-resort trial.”

Although experts have expressed interest in improving trial inclusivity, it’s unclear how doing so might impact treatment safety and efficacy.

In the Drug Rediscovery Protocol (DRUP), Dr. Gelderblom and colleagues examined the impact of broadening trial eligibility on patient outcomes. DRUP is an ongoing Dutch national, multicenter, pan-cancer, nonrandomized clinical trial in which patients are treated off-label with approved molecularly targeted or immunotherapies.

In the trial, 1019 patients with treatment-refractory disease were matched to one of the available study drugs based on their tumor molecular profile and enrolled in parallel cohorts. Cohorts were defined by tumor type, molecular profile, and study drug.

Among these patients, 82 patients — 8% of the cohort — were granted waivers to participate. Most waivers (45%) were granted as exceptions to general- or drug-related eligibility criteria, often because of out-of-range lab results. Other categories included treatment and testing exceptions, as well as out-of-window testing. 

The researchers then compared safety and efficacy outcomes between the 82 participants granted waivers and the 937 who did not receive waivers. 

Overall, Dr. Gelderblom’s team found that the rate of serious adverse events was similar between patients who received a waiver and those who did not: 39% vs 41%, respectively.

A relationship between waivers and serious adverse events was deemed “unlikely” for 86% of patients and “possible” for 14%. In two cases concerning a direct relationship, for instance, patients who received waivers for decreased hemoglobin levels developed anemia.

The rate of clinical benefit — defined as an objective response or stable disease for at least 16 weeks — was similar between the groups. Overall, 40% of patients who received a waiver (33 of 82) had a clinical benefit vs 33% of patients without a waiver (P = .43). Median overall survival for patients that received a waiver was also similar — 11 months in the waiver group and 8 months in the nonwaiver group (hazard ratio, 0.87; P = .33).

“Safety and clinical benefit were preserved in patients for whom a waiver was granted,” the authors concluded.

The study had several limitations. The diversity of cancer types, treatments, and reasons for protocol exemptions precluded subgroup analyses. In addition, because the decision to grant waivers depended in large part on the likelihood of clinical benefit, “it is possible that patients who received waivers were positively selected for clinical benefit compared with the general study population,” the authors wrote.

So, “although the clinical benefit rate of the patient group for whom a waiver was granted appears to be slightly higher, this difference might be explained by the selection process of the central study team, in which each waiver request was carefully considered, weighing the risks and potential benefits for the patient in question,” the authors explained.

Overall, “these findings advocate for a broader and more inclusive design when establishing novel trials, paving the way for a more effective and tailored application of cancer therapies in patients with advanced or refractory disease,” Dr. Gelderblom said.

Commenting on the study, Bishal Gyawali, MD, PhD, said that “relaxing eligibility criteria is important, and I support this. Trials should include patients that are more representative of the real-world, so that results are generalizable.”

However, “the paper overemphasized efficacy,” said Dr. Gyawali, from Queen’s University, Kingston, Ontario, Canada. The sample size of waiver-granted patients was small, plus “the clinical benefit rate is not a marker of efficacy.

“The response rate is somewhat better, but for a heterogeneous study with multiple targets and drugs, it is difficult to say much about treatment effects here,” Dr. Gyawali added. Overall, “we shouldn’t read too much into treatment benefits based on these numbers.”

Funding for the study was provided by the Stelvio for Life Foundation, the Dutch Cancer Society, Amgen, AstraZeneca, Bayer, Boehringer Ingelheim, Bristol Myers Squibb, pharma&, Eisai Co., Ipsen, Merck Sharp & Dohme, Novartis, Pfizer, and Roche. Dr. Gelderblom declared no conflicts of interest, and Dr. Gyawali declared no conflicts of interest related to his comment.
 

A version of this article appeared on Medscape.com.

Patients with treatment-refractory cancers who did not meet eligibility criteria for a pan-cancer clinical trial but received waivers allowing them to participate had similar outcomes to patients who participated without waivers, a new analysis revealed.

The study, published online in Clinical Cancer Research, highlighted the potential benefits of broadening eligibility criteria for clinical trials.

“It is well known that results in an ‘ideal’ population do not always translate to the real-world population,” senior author Hans Gelderblom, MD, chair of the Department of Medical Oncology at the Leiden University Medical Center, Leiden, the Netherlands, said in a press release. “Eligibility criteria are often too strict, and educated exemptions by experienced investigators can help individual patients, especially in a last-resort trial.”

Although experts have expressed interest in improving trial inclusivity, it’s unclear how doing so might impact treatment safety and efficacy.

In the Drug Rediscovery Protocol (DRUP), Dr. Gelderblom and colleagues examined the impact of broadening trial eligibility on patient outcomes. DRUP is an ongoing Dutch national, multicenter, pan-cancer, nonrandomized clinical trial in which patients are treated off-label with approved molecularly targeted or immunotherapies.

In the trial, 1019 patients with treatment-refractory disease were matched to one of the available study drugs based on their tumor molecular profile and enrolled in parallel cohorts. Cohorts were defined by tumor type, molecular profile, and study drug.

Among these patients, 82 patients — 8% of the cohort — were granted waivers to participate. Most waivers (45%) were granted as exceptions to general- or drug-related eligibility criteria, often because of out-of-range lab results. Other categories included treatment and testing exceptions, as well as out-of-window testing. 

The researchers then compared safety and efficacy outcomes between the 82 participants granted waivers and the 937 who did not receive waivers. 

Overall, Dr. Gelderblom’s team found that the rate of serious adverse events was similar between patients who received a waiver and those who did not: 39% vs 41%, respectively.

A relationship between waivers and serious adverse events was deemed “unlikely” for 86% of patients and “possible” for 14%. In two cases concerning a direct relationship, for instance, patients who received waivers for decreased hemoglobin levels developed anemia.

The rate of clinical benefit — defined as an objective response or stable disease for at least 16 weeks — was similar between the groups. Overall, 40% of patients who received a waiver (33 of 82) had a clinical benefit vs 33% of patients without a waiver (P = .43). Median overall survival for patients that received a waiver was also similar — 11 months in the waiver group and 8 months in the nonwaiver group (hazard ratio, 0.87; P = .33).

“Safety and clinical benefit were preserved in patients for whom a waiver was granted,” the authors concluded.

The study had several limitations. The diversity of cancer types, treatments, and reasons for protocol exemptions precluded subgroup analyses. In addition, because the decision to grant waivers depended in large part on the likelihood of clinical benefit, “it is possible that patients who received waivers were positively selected for clinical benefit compared with the general study population,” the authors wrote.

So, “although the clinical benefit rate of the patient group for whom a waiver was granted appears to be slightly higher, this difference might be explained by the selection process of the central study team, in which each waiver request was carefully considered, weighing the risks and potential benefits for the patient in question,” the authors explained.

Overall, “these findings advocate for a broader and more inclusive design when establishing novel trials, paving the way for a more effective and tailored application of cancer therapies in patients with advanced or refractory disease,” Dr. Gelderblom said.

Commenting on the study, Bishal Gyawali, MD, PhD, said that “relaxing eligibility criteria is important, and I support this. Trials should include patients that are more representative of the real-world, so that results are generalizable.”

However, “the paper overemphasized efficacy,” said Dr. Gyawali, from Queen’s University, Kingston, Ontario, Canada. The sample size of waiver-granted patients was small, plus “the clinical benefit rate is not a marker of efficacy.

“The response rate is somewhat better, but for a heterogeneous study with multiple targets and drugs, it is difficult to say much about treatment effects here,” Dr. Gyawali added. Overall, “we shouldn’t read too much into treatment benefits based on these numbers.”

Funding for the study was provided by the Stelvio for Life Foundation, the Dutch Cancer Society, Amgen, AstraZeneca, Bayer, Boehringer Ingelheim, Bristol Myers Squibb, pharma&, Eisai Co., Ipsen, Merck Sharp & Dohme, Novartis, Pfizer, and Roche. Dr. Gelderblom declared no conflicts of interest, and Dr. Gyawali declared no conflicts of interest related to his comment.
 

A version of this article appeared on Medscape.com.

TOPLINE: 

Patients with type 2 diabetes, overweight, or obesity taking the glucagon-like peptide receptor agonist (GLP-1 RA) semaglutide appear to have an increased risk for an uncommon condition that can cause vision loss. 
 

METHODOLOGY:

• Researchers conducted a retrospective study of 16,827 patients at Massachusetts Eye and Ear in Boston.
• Their analysis focused on 710 patients with type 2 diabetes (194 of whom had been prescribed semaglutide) and 979 patients with overweight or obesity (361 prescribed semaglutide).
• The researchers compared patients prescribed semaglutide with those prescribed a medication other than a GLP-1 agent. They matched patients by factors such as age and sex and whether they had hypertension, obstructive sleep apnea, or coronary artery disease.
• They assessed the cumulative incidence of nonarteritic anterior ischemic optic neuropathy (NAION) during 36 months of follow-up. 
•  

TAKEAWAY: 

• Semaglutide use was associated with a higher risk for NAION in patients with type 2 diabetes (hazard ratio [HR], 4.28; 95% CI, 1.62-11.29).
• In patients with overweight or obesity, semaglutide again was linked to a higher risk for NAION (HR, 7.64; 95% CI, 2.21-26.36).
• Among patients with type 2 diabetes, the cumulative incidence of NAION over 36 months was 8.9% for those prescribed semaglutide vs 1.8% among those taking non–GLP-1 medications.
• For patients with overweight or obesity, the cumulative incidence of NAION over 36 months was 6.7% for the semaglutide cohort vs 0.8% for those in the other group. 

IN PRACTICE:

Semaglutide has “provided very significant benefits in many ways, but future discussions between a patient and their physician should include NAION as a potential risk,” study leader Joseph Rizzo, MD, with Mass Eye and Ear and Harvard Medical School, said in a news release about the findings. “It is important to appreciate, however, that the increased risk relates to a disorder that is relatively uncommon.”

“Given the numbers of participants who have been recruited to clinical trials and the large number of people globally who use GLP-1 RAs, we should be confident that if corroborated, the absolute risk of developing NAION in direct relation to taking semaglutide must indeed be rare,” Susan P. Mollan, MBcHB, of University Hospitals Birmingham NHS Foundation Trust, in England, wrote in a commentary published with the study. 
 

SOURCE:

The study was published online on July 3 in JAMA Ophthalmology.
 

LIMITATIONS: 

The patients were seen at a hospital that specializes in ophthalmology and has a specialized neuro-ophthalmology service, so the results may not fully apply to other settings. The results were driven by a relatively small number of NAION cases in the patients exposed to semaglutide. The study does not establish that semaglutide directly causes NAION, the researchers noted. “The best approaches to confirm, refute, or refine our findings would be to conduct a much larger, retrospective, multicenter population-based cohort study; a prospective, randomized clinical study; or a postmarket analysis of all GLP-1 RA drugs,” they wrote.

DISCLOSURES:

The study was supported by a grant from Research to Prevent Blindness. 
 

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: 

Patients with type 2 diabetes, overweight, or obesity taking the glucagon-like peptide receptor agonist (GLP-1 RA) semaglutide appear to have an increased risk for an uncommon condition that can cause vision loss. 
 

METHODOLOGY:

• Researchers conducted a retrospective study of 16,827 patients at Massachusetts Eye and Ear in Boston.
• Their analysis focused on 710 patients with type 2 diabetes (194 of whom had been prescribed semaglutide) and 979 patients with overweight or obesity (361 prescribed semaglutide).
• The researchers compared patients prescribed semaglutide with those prescribed a medication other than a GLP-1 agent. They matched patients by factors such as age and sex and whether they had hypertension, obstructive sleep apnea, or coronary artery disease.
• They assessed the cumulative incidence of nonarteritic anterior ischemic optic neuropathy (NAION) during 36 months of follow-up. 
•  

TAKEAWAY: 

• Semaglutide use was associated with a higher risk for NAION in patients with type 2 diabetes (hazard ratio [HR], 4.28; 95% CI, 1.62-11.29).
• In patients with overweight or obesity, semaglutide again was linked to a higher risk for NAION (HR, 7.64; 95% CI, 2.21-26.36).
• Among patients with type 2 diabetes, the cumulative incidence of NAION over 36 months was 8.9% for those prescribed semaglutide vs 1.8% among those taking non–GLP-1 medications.
• For patients with overweight or obesity, the cumulative incidence of NAION over 36 months was 6.7% for the semaglutide cohort vs 0.8% for those in the other group. 

IN PRACTICE:

Semaglutide has “provided very significant benefits in many ways, but future discussions between a patient and their physician should include NAION as a potential risk,” study leader Joseph Rizzo, MD, with Mass Eye and Ear and Harvard Medical School, said in a news release about the findings. “It is important to appreciate, however, that the increased risk relates to a disorder that is relatively uncommon.”

“Given the numbers of participants who have been recruited to clinical trials and the large number of people globally who use GLP-1 RAs, we should be confident that if corroborated, the absolute risk of developing NAION in direct relation to taking semaglutide must indeed be rare,” Susan P. Mollan, MBcHB, of University Hospitals Birmingham NHS Foundation Trust, in England, wrote in a commentary published with the study. 
 

SOURCE:

The study was published online on July 3 in JAMA Ophthalmology.
 

LIMITATIONS: 

The patients were seen at a hospital that specializes in ophthalmology and has a specialized neuro-ophthalmology service, so the results may not fully apply to other settings. The results were driven by a relatively small number of NAION cases in the patients exposed to semaglutide. The study does not establish that semaglutide directly causes NAION, the researchers noted. “The best approaches to confirm, refute, or refine our findings would be to conduct a much larger, retrospective, multicenter population-based cohort study; a prospective, randomized clinical study; or a postmarket analysis of all GLP-1 RA drugs,” they wrote.

DISCLOSURES:

The study was supported by a grant from Research to Prevent Blindness. 
 

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: 

Patients with type 2 diabetes, overweight, or obesity taking the glucagon-like peptide receptor agonist (GLP-1 RA) semaglutide appear to have an increased risk for an uncommon condition that can cause vision loss. 
 

METHODOLOGY:

• Researchers conducted a retrospective study of 16,827 patients at Massachusetts Eye and Ear in Boston.
• Their analysis focused on 710 patients with type 2 diabetes (194 of whom had been prescribed semaglutide) and 979 patients with overweight or obesity (361 prescribed semaglutide).
• The researchers compared patients prescribed semaglutide with those prescribed a medication other than a GLP-1 agent. They matched patients by factors such as age and sex and whether they had hypertension, obstructive sleep apnea, or coronary artery disease.
• They assessed the cumulative incidence of nonarteritic anterior ischemic optic neuropathy (NAION) during 36 months of follow-up. 
•  

TAKEAWAY: 

• Semaglutide use was associated with a higher risk for NAION in patients with type 2 diabetes (hazard ratio [HR], 4.28; 95% CI, 1.62-11.29).
• In patients with overweight or obesity, semaglutide again was linked to a higher risk for NAION (HR, 7.64; 95% CI, 2.21-26.36).
• Among patients with type 2 diabetes, the cumulative incidence of NAION over 36 months was 8.9% for those prescribed semaglutide vs 1.8% among those taking non–GLP-1 medications.
• For patients with overweight or obesity, the cumulative incidence of NAION over 36 months was 6.7% for the semaglutide cohort vs 0.8% for those in the other group. 

IN PRACTICE:

Semaglutide has “provided very significant benefits in many ways, but future discussions between a patient and their physician should include NAION as a potential risk,” study leader Joseph Rizzo, MD, with Mass Eye and Ear and Harvard Medical School, said in a news release about the findings. “It is important to appreciate, however, that the increased risk relates to a disorder that is relatively uncommon.”

“Given the numbers of participants who have been recruited to clinical trials and the large number of people globally who use GLP-1 RAs, we should be confident that if corroborated, the absolute risk of developing NAION in direct relation to taking semaglutide must indeed be rare,” Susan P. Mollan, MBcHB, of University Hospitals Birmingham NHS Foundation Trust, in England, wrote in a commentary published with the study. 
 

SOURCE:

The study was published online on July 3 in JAMA Ophthalmology.
 

LIMITATIONS: 

The patients were seen at a hospital that specializes in ophthalmology and has a specialized neuro-ophthalmology service, so the results may not fully apply to other settings. The results were driven by a relatively small number of NAION cases in the patients exposed to semaglutide. The study does not establish that semaglutide directly causes NAION, the researchers noted. “The best approaches to confirm, refute, or refine our findings would be to conduct a much larger, retrospective, multicenter population-based cohort study; a prospective, randomized clinical study; or a postmarket analysis of all GLP-1 RA drugs,” they wrote.

DISCLOSURES:

The study was supported by a grant from Research to Prevent Blindness. 
 

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.

Recent research on popular weight loss drugs has uncovered surprising benefits beyond their intended use, like lowering the risk of fatal heart attacks. And now there may be another unforeseen advantage: People with type 2 diabetes who took these drugs had a lower risk of having 10 out of 13 obesity-related cancers, compared to those who used insulin therapy.

That’s according to a study published July 5 in JAMA Network Open where researchers studied glucagon-like peptide receptor agonists (known as GLP-1RAs), a class of drugs used to treat diabetes and obesity. Ozempic, Wegovy, Mounjaro, and Zepbound, which have become well-known recently because they are linked to rapid weight loss, contain GLP-1RAs.

For the study, they looked at electronic health records of 1.7 million patients who had type 2 diabetes, no prior diagnosis of obesity-related cancers, and had been prescribed GLP-1RAs, insulins, or metformin from March 2005 to November 2018.

The scientists found that compared to patients who took insulin, people who took GLP-1RAs had a “significant risk reduction” in 10 of 13 obesity-related cancers. Those 10 cancers were esophageal, colorectal, endometrial, gallbladder, kidney, liver, ovarian, and pancreatic cancers, as well as meningioma and multiple myeloma.

Compared with patients taking insulin, patients taking GLP-1RAs showed no statistically significant reduction in stomach cancer and no reduced risk of breast and thyroid cancers, the study said.

But the study found no decrease in cancer risk with GLP-1RAs compared with metformin.

While the study results suggest that these drugs may reduce the risk of certain obesity-related cancers better than insulins, more research is needed, they said.

A version of this article appeared on WebMD.com.

Recent research on popular weight loss drugs has uncovered surprising benefits beyond their intended use, like lowering the risk of fatal heart attacks. And now there may be another unforeseen advantage: People with type 2 diabetes who took these drugs had a lower risk of having 10 out of 13 obesity-related cancers, compared to those who used insulin therapy.

That’s according to a study published July 5 in JAMA Network Open where researchers studied glucagon-like peptide receptor agonists (known as GLP-1RAs), a class of drugs used to treat diabetes and obesity. Ozempic, Wegovy, Mounjaro, and Zepbound, which have become well-known recently because they are linked to rapid weight loss, contain GLP-1RAs.

For the study, they looked at electronic health records of 1.7 million patients who had type 2 diabetes, no prior diagnosis of obesity-related cancers, and had been prescribed GLP-1RAs, insulins, or metformin from March 2005 to November 2018.

The scientists found that compared to patients who took insulin, people who took GLP-1RAs had a “significant risk reduction” in 10 of 13 obesity-related cancers. Those 10 cancers were esophageal, colorectal, endometrial, gallbladder, kidney, liver, ovarian, and pancreatic cancers, as well as meningioma and multiple myeloma.

Compared with patients taking insulin, patients taking GLP-1RAs showed no statistically significant reduction in stomach cancer and no reduced risk of breast and thyroid cancers, the study said.

But the study found no decrease in cancer risk with GLP-1RAs compared with metformin.

While the study results suggest that these drugs may reduce the risk of certain obesity-related cancers better than insulins, more research is needed, they said.

A version of this article appeared on WebMD.com.

Recent research on popular weight loss drugs has uncovered surprising benefits beyond their intended use, like lowering the risk of fatal heart attacks. And now there may be another unforeseen advantage: People with type 2 diabetes who took these drugs had a lower risk of having 10 out of 13 obesity-related cancers, compared to those who used insulin therapy.

That’s according to a study published July 5 in JAMA Network Open where researchers studied glucagon-like peptide receptor agonists (known as GLP-1RAs), a class of drugs used to treat diabetes and obesity. Ozempic, Wegovy, Mounjaro, and Zepbound, which have become well-known recently because they are linked to rapid weight loss, contain GLP-1RAs.

For the study, they looked at electronic health records of 1.7 million patients who had type 2 diabetes, no prior diagnosis of obesity-related cancers, and had been prescribed GLP-1RAs, insulins, or metformin from March 2005 to November 2018.

The scientists found that compared to patients who took insulin, people who took GLP-1RAs had a “significant risk reduction” in 10 of 13 obesity-related cancers. Those 10 cancers were esophageal, colorectal, endometrial, gallbladder, kidney, liver, ovarian, and pancreatic cancers, as well as meningioma and multiple myeloma.

Compared with patients taking insulin, patients taking GLP-1RAs showed no statistically significant reduction in stomach cancer and no reduced risk of breast and thyroid cancers, the study said.

But the study found no decrease in cancer risk with GLP-1RAs compared with metformin.

While the study results suggest that these drugs may reduce the risk of certain obesity-related cancers better than insulins, more research is needed, they said.

A version of this article appeared on WebMD.com.

Mount Sinai Health System in New York City is forcing part-time physicians to sign employment contracts that violate their labor rights, according to a June 2024 complaint by the National Labor Relations Board (NLRB). 

The complaint stems from no-poaching and confidentiality clauses in the agreements required as a condition of employment, NLRB officials alleged.

The contracts state that, for 1 year following termination, part-time physicians may not recruit, solicit, or induce to terminate the employment of any hospital system employee or independent contractor, according to a copy of the terms included in NLRB’s June 18 complaint. 

By requiring the agreements, NLRB officials claimed, Mount Sinai is “interfering with, restraining, and coercing employees” in violation of the National Labor Relations Act. The health system’s “unfair labor practices” affects commerce as outlined under the law, according to the NLRB. The Act bans employers from burdening or obstructing commerce or the free flow of commerce.

Mount Sinai did not respond to requests for comment.

The NLRB’s complaint follows a landmark decision by the Federal Trade Commission (FTC) to ban noncompete agreements nationwide. In April 2024, the FTC voted to prohibit noncompetes indefinitely in an effort to protect workers.

“Noncompete clauses keep wages low, suppress new ideas, and rob the American economy of dynamism, including from the more than 8500 new startups that would be created a year once noncompetes are banned,” FTC Chair Lina M. Khan said in a statement. “The FTC’s final rule to ban noncompetes will ensure Americans have the freedom to pursue a new job, start a new business, or bring a new idea to market.”

Business groups and agencies have since sued to challenge against the ban, including the Chamber of Commerce. The Chamber and other business groups argue that noncompete agreements are important for companies to protect trade secrets, shield recruiting investments, and hide confidential information. The lawsuits are ongoing. 
 

A Physician Blows the Whistle

An anonymous physician first alerted the NLRB to the contract language in November 2023. The doctor was required the sign the hospital system’s agreement for part-time physicians. The complaint does not say if the employee is still employed by the hospital system. 

To remedy the unfair labor practices alleged, the NLRB seeks an order requiring the health system to rescind the contract language, stop any actions against current or former employees to enforce the provisions, and make whole any employees who suffered financial losses related to the contract terms. 

The allegation against Mount Sinai is among a rising number of grievances filed with the NLRB that claim unfair labor practices. During the first 6 months of fiscal year 2024, unfair labor practice charges filed across the NLRB’s field offices increased 7% — from 9612 in 2023 to 10,278 in 2024, according to a news release. 

NLRB, meanwhile has been cracking down on anticompetitive labor practices and confidentiality provisions that prevent employees from speaking out. 

In a February 2023 decision for instance, NLRB ruled that an employer violates the National Labor Relations Act by offering severance agreements to workers that include restrictive confidentiality and nondisparagement terms. In 2022, the NLRB and the Federal Trade Commission forged a partnership to more widely combat unfair, anticompetitive, and deceptive business practices. 

“Noncompete provisions reasonably tend to chill employees in the exercise of Section 7 rights when the provisions could reasonably be construed by employees to deny them the ability to quit or change jobs by cutting off their access to other employment opportunities that they are qualified for,” NLRB General Counsel Jennifer Abruzzo said in a 2023 release. 

Ms. Abruzzo stressed in a memo that NLR Act is committed to an interagency approach to restrictions on the exercise of employee rights, “including limits to workers’ job mobility, information sharing, and referrals to other agencies.” 

Mount Sinai Health System must respond to the NLRB’s complaint by July 16, and an administrative law judge is scheduled to hear the case on September 24.

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

Mount Sinai Health System in New York City is forcing part-time physicians to sign employment contracts that violate their labor rights, according to a June 2024 complaint by the National Labor Relations Board (NLRB). 

The complaint stems from no-poaching and confidentiality clauses in the agreements required as a condition of employment, NLRB officials alleged.

The contracts state that, for 1 year following termination, part-time physicians may not recruit, solicit, or induce to terminate the employment of any hospital system employee or independent contractor, according to a copy of the terms included in NLRB’s June 18 complaint. 

By requiring the agreements, NLRB officials claimed, Mount Sinai is “interfering with, restraining, and coercing employees” in violation of the National Labor Relations Act. The health system’s “unfair labor practices” affects commerce as outlined under the law, according to the NLRB. The Act bans employers from burdening or obstructing commerce or the free flow of commerce.

Mount Sinai did not respond to requests for comment.

The NLRB’s complaint follows a landmark decision by the Federal Trade Commission (FTC) to ban noncompete agreements nationwide. In April 2024, the FTC voted to prohibit noncompetes indefinitely in an effort to protect workers.

“Noncompete clauses keep wages low, suppress new ideas, and rob the American economy of dynamism, including from the more than 8500 new startups that would be created a year once noncompetes are banned,” FTC Chair Lina M. Khan said in a statement. “The FTC’s final rule to ban noncompetes will ensure Americans have the freedom to pursue a new job, start a new business, or bring a new idea to market.”

Business groups and agencies have since sued to challenge against the ban, including the Chamber of Commerce. The Chamber and other business groups argue that noncompete agreements are important for companies to protect trade secrets, shield recruiting investments, and hide confidential information. The lawsuits are ongoing. 
 

A Physician Blows the Whistle

An anonymous physician first alerted the NLRB to the contract language in November 2023. The doctor was required the sign the hospital system’s agreement for part-time physicians. The complaint does not say if the employee is still employed by the hospital system. 

To remedy the unfair labor practices alleged, the NLRB seeks an order requiring the health system to rescind the contract language, stop any actions against current or former employees to enforce the provisions, and make whole any employees who suffered financial losses related to the contract terms. 

The allegation against Mount Sinai is among a rising number of grievances filed with the NLRB that claim unfair labor practices. During the first 6 months of fiscal year 2024, unfair labor practice charges filed across the NLRB’s field offices increased 7% — from 9612 in 2023 to 10,278 in 2024, according to a news release. 

NLRB, meanwhile has been cracking down on anticompetitive labor practices and confidentiality provisions that prevent employees from speaking out. 

In a February 2023 decision for instance, NLRB ruled that an employer violates the National Labor Relations Act by offering severance agreements to workers that include restrictive confidentiality and nondisparagement terms. In 2022, the NLRB and the Federal Trade Commission forged a partnership to more widely combat unfair, anticompetitive, and deceptive business practices. 

“Noncompete provisions reasonably tend to chill employees in the exercise of Section 7 rights when the provisions could reasonably be construed by employees to deny them the ability to quit or change jobs by cutting off their access to other employment opportunities that they are qualified for,” NLRB General Counsel Jennifer Abruzzo said in a 2023 release. 

Ms. Abruzzo stressed in a memo that NLR Act is committed to an interagency approach to restrictions on the exercise of employee rights, “including limits to workers’ job mobility, information sharing, and referrals to other agencies.” 

Mount Sinai Health System must respond to the NLRB’s complaint by July 16, and an administrative law judge is scheduled to hear the case on September 24.

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

Mount Sinai Health System in New York City is forcing part-time physicians to sign employment contracts that violate their labor rights, according to a June 2024 complaint by the National Labor Relations Board (NLRB). 

The complaint stems from no-poaching and confidentiality clauses in the agreements required as a condition of employment, NLRB officials alleged.

The contracts state that, for 1 year following termination, part-time physicians may not recruit, solicit, or induce to terminate the employment of any hospital system employee or independent contractor, according to a copy of the terms included in NLRB’s June 18 complaint. 

By requiring the agreements, NLRB officials claimed, Mount Sinai is “interfering with, restraining, and coercing employees” in violation of the National Labor Relations Act. The health system’s “unfair labor practices” affects commerce as outlined under the law, according to the NLRB. The Act bans employers from burdening or obstructing commerce or the free flow of commerce.

Mount Sinai did not respond to requests for comment.

The NLRB’s complaint follows a landmark decision by the Federal Trade Commission (FTC) to ban noncompete agreements nationwide. In April 2024, the FTC voted to prohibit noncompetes indefinitely in an effort to protect workers.

“Noncompete clauses keep wages low, suppress new ideas, and rob the American economy of dynamism, including from the more than 8500 new startups that would be created a year once noncompetes are banned,” FTC Chair Lina M. Khan said in a statement. “The FTC’s final rule to ban noncompetes will ensure Americans have the freedom to pursue a new job, start a new business, or bring a new idea to market.”

Business groups and agencies have since sued to challenge against the ban, including the Chamber of Commerce. The Chamber and other business groups argue that noncompete agreements are important for companies to protect trade secrets, shield recruiting investments, and hide confidential information. The lawsuits are ongoing. 
 

A Physician Blows the Whistle

An anonymous physician first alerted the NLRB to the contract language in November 2023. The doctor was required the sign the hospital system’s agreement for part-time physicians. The complaint does not say if the employee is still employed by the hospital system. 

To remedy the unfair labor practices alleged, the NLRB seeks an order requiring the health system to rescind the contract language, stop any actions against current or former employees to enforce the provisions, and make whole any employees who suffered financial losses related to the contract terms. 

The allegation against Mount Sinai is among a rising number of grievances filed with the NLRB that claim unfair labor practices. During the first 6 months of fiscal year 2024, unfair labor practice charges filed across the NLRB’s field offices increased 7% — from 9612 in 2023 to 10,278 in 2024, according to a news release. 

NLRB, meanwhile has been cracking down on anticompetitive labor practices and confidentiality provisions that prevent employees from speaking out. 

In a February 2023 decision for instance, NLRB ruled that an employer violates the National Labor Relations Act by offering severance agreements to workers that include restrictive confidentiality and nondisparagement terms. In 2022, the NLRB and the Federal Trade Commission forged a partnership to more widely combat unfair, anticompetitive, and deceptive business practices. 

“Noncompete provisions reasonably tend to chill employees in the exercise of Section 7 rights when the provisions could reasonably be construed by employees to deny them the ability to quit or change jobs by cutting off their access to other employment opportunities that they are qualified for,” NLRB General Counsel Jennifer Abruzzo said in a 2023 release. 

Ms. Abruzzo stressed in a memo that NLR Act is committed to an interagency approach to restrictions on the exercise of employee rights, “including limits to workers’ job mobility, information sharing, and referrals to other agencies.” 

Mount Sinai Health System must respond to the NLRB’s complaint by July 16, and an administrative law judge is scheduled to hear the case on September 24.

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

ORLANDO, FLORIDA — Cannabis users may have a “healthier inflammatory cytokine profile, better insulin sensitivity, and higher levels of physical activity than nonusers,” all of which can be linked to a potentially lower risk for diabetes, ongoing research suggests.

In the findings from the SONIC trial, Angela Bryan, PhD, professor and codirector of CUChange at the University of Colorado, Boulder, and colleagues hypothesized that “those inflammatory profiles would improve over the course of 4 weeks, particularly for those using a CBD [cannabidiol] as opposed to a THC [tetrahydrocannabinol] product.”

She presented the findings at the American Diabetes Association (ADA) 84th Scientific Sessions.

Other recent work by Dr. Bryan and her colleagues focused on the public health implications of cannabis legalization. One study examined the acute effects of legal-market cannabis on regular users’ subjective responses while running and found that cannabis use prior to exercise may lead to more enjoyment and runner’s high symptoms, although it also led to feelings of greater exertion. The positive effects could make exercise more appealing to individuals — including those with or at risk for diabetes — who might not otherwise engage in it, Bryan suggested.

Another study found that CBD-dominant forms of cannabis were associated with acute tension reduction, which might lead to longer-term reductions in anxiety. Bryan said the findings could be relevant in the context of diabetes distress.
 

‘Complicated’ Connection to Diabetes

In the SONIC study, participants who were regular cannabis users had an average age of 30 years and had body mass index (BMI) in the healthy range; 86% were White individuals, and 59% were men. They were matched with a similar group of individuals who had not used cannabis for at least a year. At baseline, participants’ NSDR Healthy Eating Index score overall was 51.24, showing a “need for improvement/poor diet.” 

“Folks were maybe not killing it in the dietary domain,” Dr. Bryan acknowledged. “However, they were absolutely killing it in the physical activity domain.”

The researchers did oral glucose tolerance tests to calculate participants’ Matsuda index of insulin sensitivity and measured inflammatory markers, including tumor necrosis factor alpha, interleukin 6 (IL6), IL1 beta, IL12, interferon gamma, IL4, and monocyte chemoattractant protein 1 (MCP-1). In a “randomized encouragement” design, users were assigned to purchase and use a flower product for 4 weeks, however much they wanted. They completed daily assessments of their cannabis use, alcohol use, diet, and physical activity.

Between-group eating patterns were similar over the 4 weeks, with cannabis users reporting “marginally” more servings of salty snacks and food relative to nonusers. None of the daily associations were moderated by which cannabis product was used.

At 4 weeks, the team repeated the tests and, surprisingly, found no change in participants’ inflammatory markers. But what “popped out,” she said, was the “stark difference” between users and nonusers, with users having significantly lower levels of inflammatory biomarkers, circulating cytokines than the nonusers.

An exception were levels of MCP-1, which increased over time in the users but didn’t change in nonusers. Bryan said the finding is “perplexing” and asked the audience for thoughts, especially given that MCP-1 levels are positively associated with diabetes.

After controlling for BMI and inflammation, “we saw absolutely no effects of group or group by time interaction on the Matsuda index of insulin sensitivity,” she said. “Seemingly, there are no chronic effects of cannabis use on insulin sensitivity.”

Regarding limitations, Dr. Bryan acknowledged that the study is being conducted with “a very healthy sample of individuals who exercise a lot, and that might be factoring into our results, especially on insulin sensitivity.” The team could not use “gold standard” randomization because of the schedule-1 status of CannaVan cannabis, and the MCP-1 findings are difficult to interpret.

Furthermore, she noted, “our day-to-day level data show only slight differences in behavior between those who use cannabis and those who don’t and also very slight differences between users’ behavior on days that they use vs days that they don’t.

“I think all of this put together shows us that the relationship between cannabis use and potential implications for diabetes is a lot more complicated than just couch to couchlock [very deep relaxation/sedation] or runner’s high,” she said.
 

Bring On the CannaVan

The team’s next step, currently underway, is to get an acute response to cannabis with an oral glucose tolerance test that’s done immediately after the participant uses a product. Since cannabis is a schedule-1 drug, it can’t be taken into the laboratory. Therefore, the researchers are using a CannaVan — a mobile lab. “We drive it to their homes, they come out, we draw blood, and we send them back into their homes to use as much of their product as they want,” Bryan explained. “They come back out to the van. They do all the follow-up assessments. We take blood again to verify their exposure. And that’s how we collect those data.”

“Invite me back next year, and I will tell you what we found,” she quipped.

Dr. Bryan had no disclosures to report. 

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

ORLANDO, FLORIDA — Cannabis users may have a “healthier inflammatory cytokine profile, better insulin sensitivity, and higher levels of physical activity than nonusers,” all of which can be linked to a potentially lower risk for diabetes, ongoing research suggests.

In the findings from the SONIC trial, Angela Bryan, PhD, professor and codirector of CUChange at the University of Colorado, Boulder, and colleagues hypothesized that “those inflammatory profiles would improve over the course of 4 weeks, particularly for those using a CBD [cannabidiol] as opposed to a THC [tetrahydrocannabinol] product.”

She presented the findings at the American Diabetes Association (ADA) 84th Scientific Sessions.

Other recent work by Dr. Bryan and her colleagues focused on the public health implications of cannabis legalization. One study examined the acute effects of legal-market cannabis on regular users’ subjective responses while running and found that cannabis use prior to exercise may lead to more enjoyment and runner’s high symptoms, although it also led to feelings of greater exertion. The positive effects could make exercise more appealing to individuals — including those with or at risk for diabetes — who might not otherwise engage in it, Bryan suggested.

Another study found that CBD-dominant forms of cannabis were associated with acute tension reduction, which might lead to longer-term reductions in anxiety. Bryan said the findings could be relevant in the context of diabetes distress.
 

‘Complicated’ Connection to Diabetes

In the SONIC study, participants who were regular cannabis users had an average age of 30 years and had body mass index (BMI) in the healthy range; 86% were White individuals, and 59% were men. They were matched with a similar group of individuals who had not used cannabis for at least a year. At baseline, participants’ NSDR Healthy Eating Index score overall was 51.24, showing a “need for improvement/poor diet.” 

“Folks were maybe not killing it in the dietary domain,” Dr. Bryan acknowledged. “However, they were absolutely killing it in the physical activity domain.”

The researchers did oral glucose tolerance tests to calculate participants’ Matsuda index of insulin sensitivity and measured inflammatory markers, including tumor necrosis factor alpha, interleukin 6 (IL6), IL1 beta, IL12, interferon gamma, IL4, and monocyte chemoattractant protein 1 (MCP-1). In a “randomized encouragement” design, users were assigned to purchase and use a flower product for 4 weeks, however much they wanted. They completed daily assessments of their cannabis use, alcohol use, diet, and physical activity.

Between-group eating patterns were similar over the 4 weeks, with cannabis users reporting “marginally” more servings of salty snacks and food relative to nonusers. None of the daily associations were moderated by which cannabis product was used.

At 4 weeks, the team repeated the tests and, surprisingly, found no change in participants’ inflammatory markers. But what “popped out,” she said, was the “stark difference” between users and nonusers, with users having significantly lower levels of inflammatory biomarkers, circulating cytokines than the nonusers.

An exception were levels of MCP-1, which increased over time in the users but didn’t change in nonusers. Bryan said the finding is “perplexing” and asked the audience for thoughts, especially given that MCP-1 levels are positively associated with diabetes.

After controlling for BMI and inflammation, “we saw absolutely no effects of group or group by time interaction on the Matsuda index of insulin sensitivity,” she said. “Seemingly, there are no chronic effects of cannabis use on insulin sensitivity.”

Regarding limitations, Dr. Bryan acknowledged that the study is being conducted with “a very healthy sample of individuals who exercise a lot, and that might be factoring into our results, especially on insulin sensitivity.” The team could not use “gold standard” randomization because of the schedule-1 status of CannaVan cannabis, and the MCP-1 findings are difficult to interpret.

Furthermore, she noted, “our day-to-day level data show only slight differences in behavior between those who use cannabis and those who don’t and also very slight differences between users’ behavior on days that they use vs days that they don’t.

“I think all of this put together shows us that the relationship between cannabis use and potential implications for diabetes is a lot more complicated than just couch to couchlock [very deep relaxation/sedation] or runner’s high,” she said.
 

Bring On the CannaVan

The team’s next step, currently underway, is to get an acute response to cannabis with an oral glucose tolerance test that’s done immediately after the participant uses a product. Since cannabis is a schedule-1 drug, it can’t be taken into the laboratory. Therefore, the researchers are using a CannaVan — a mobile lab. “We drive it to their homes, they come out, we draw blood, and we send them back into their homes to use as much of their product as they want,” Bryan explained. “They come back out to the van. They do all the follow-up assessments. We take blood again to verify their exposure. And that’s how we collect those data.”

“Invite me back next year, and I will tell you what we found,” she quipped.

Dr. Bryan had no disclosures to report. 

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

ORLANDO, FLORIDA — Cannabis users may have a “healthier inflammatory cytokine profile, better insulin sensitivity, and higher levels of physical activity than nonusers,” all of which can be linked to a potentially lower risk for diabetes, ongoing research suggests.

In the findings from the SONIC trial, Angela Bryan, PhD, professor and codirector of CUChange at the University of Colorado, Boulder, and colleagues hypothesized that “those inflammatory profiles would improve over the course of 4 weeks, particularly for those using a CBD [cannabidiol] as opposed to a THC [tetrahydrocannabinol] product.”

She presented the findings at the American Diabetes Association (ADA) 84th Scientific Sessions.

Other recent work by Dr. Bryan and her colleagues focused on the public health implications of cannabis legalization. One study examined the acute effects of legal-market cannabis on regular users’ subjective responses while running and found that cannabis use prior to exercise may lead to more enjoyment and runner’s high symptoms, although it also led to feelings of greater exertion. The positive effects could make exercise more appealing to individuals — including those with or at risk for diabetes — who might not otherwise engage in it, Bryan suggested.

Another study found that CBD-dominant forms of cannabis were associated with acute tension reduction, which might lead to longer-term reductions in anxiety. Bryan said the findings could be relevant in the context of diabetes distress.
 

‘Complicated’ Connection to Diabetes

In the SONIC study, participants who were regular cannabis users had an average age of 30 years and had body mass index (BMI) in the healthy range; 86% were White individuals, and 59% were men. They were matched with a similar group of individuals who had not used cannabis for at least a year. At baseline, participants’ NSDR Healthy Eating Index score overall was 51.24, showing a “need for improvement/poor diet.” 

“Folks were maybe not killing it in the dietary domain,” Dr. Bryan acknowledged. “However, they were absolutely killing it in the physical activity domain.”

The researchers did oral glucose tolerance tests to calculate participants’ Matsuda index of insulin sensitivity and measured inflammatory markers, including tumor necrosis factor alpha, interleukin 6 (IL6), IL1 beta, IL12, interferon gamma, IL4, and monocyte chemoattractant protein 1 (MCP-1). In a “randomized encouragement” design, users were assigned to purchase and use a flower product for 4 weeks, however much they wanted. They completed daily assessments of their cannabis use, alcohol use, diet, and physical activity.

Between-group eating patterns were similar over the 4 weeks, with cannabis users reporting “marginally” more servings of salty snacks and food relative to nonusers. None of the daily associations were moderated by which cannabis product was used.

At 4 weeks, the team repeated the tests and, surprisingly, found no change in participants’ inflammatory markers. But what “popped out,” she said, was the “stark difference” between users and nonusers, with users having significantly lower levels of inflammatory biomarkers, circulating cytokines than the nonusers.

An exception were levels of MCP-1, which increased over time in the users but didn’t change in nonusers. Bryan said the finding is “perplexing” and asked the audience for thoughts, especially given that MCP-1 levels are positively associated with diabetes.

After controlling for BMI and inflammation, “we saw absolutely no effects of group or group by time interaction on the Matsuda index of insulin sensitivity,” she said. “Seemingly, there are no chronic effects of cannabis use on insulin sensitivity.”

Regarding limitations, Dr. Bryan acknowledged that the study is being conducted with “a very healthy sample of individuals who exercise a lot, and that might be factoring into our results, especially on insulin sensitivity.” The team could not use “gold standard” randomization because of the schedule-1 status of CannaVan cannabis, and the MCP-1 findings are difficult to interpret.

Furthermore, she noted, “our day-to-day level data show only slight differences in behavior between those who use cannabis and those who don’t and also very slight differences between users’ behavior on days that they use vs days that they don’t.

“I think all of this put together shows us that the relationship between cannabis use and potential implications for diabetes is a lot more complicated than just couch to couchlock [very deep relaxation/sedation] or runner’s high,” she said.
 

Bring On the CannaVan

The team’s next step, currently underway, is to get an acute response to cannabis with an oral glucose tolerance test that’s done immediately after the participant uses a product. Since cannabis is a schedule-1 drug, it can’t be taken into the laboratory. Therefore, the researchers are using a CannaVan — a mobile lab. “We drive it to their homes, they come out, we draw blood, and we send them back into their homes to use as much of their product as they want,” Bryan explained. “They come back out to the van. They do all the follow-up assessments. We take blood again to verify their exposure. And that’s how we collect those data.”

“Invite me back next year, and I will tell you what we found,” she quipped.

Dr. Bryan had no disclosures to report. 

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