Mental Health

The US Food and Drug Administration (FDA) has approved Onyda XR (clonidine hydrochloride) for the treatment of attention-deficit/hyperactivity disorder (ADHD), drug manufacturer Tris Pharma announced in a statement.

The drug is the first approved liquid nonstimulant ADHD medication. The once-daily extended-release oral suspension, with nighttime dosing, can be used alone or as an adjunctive therapy to FDA-approved stimulant medications in pediatric patients 6 years of age or older.

“People with ADHD require a range of therapeutic options that are designed for their individual needs, because not every medication or type of therapy works for every patient,” Ann Childress, MD, a psychiatrist and president of the Las Vegas–based Center for Psychiatry and Behavioral Medicine, said in the release. 

“The approval of Onyda XR, the only liquid non-stimulant ADHD medication, with nighttime dosing that shifts the release profile, is a convenient option for patients needing better ADHD control,” she added.

The approval was based on “adequate and well-controlled studies” of the company’s extended-release tablets.

Onyda XR is contraindicated in patients with a history of a hypersensitivity reaction to clonidine. 

The medication can cause dose-related decreases in blood pressure and heart rate. Vital signs should be monitored frequently in at-risk patients. In studies with the extended-release tablets, somnolence and sedation were commonly reported adverse reactions. The sympatholytic action of clonidine may worsen sinus node dysfunction and atrioventricular block, especially in patients taking other sympatholytic drugs, the company noted.

Onyda XR should be available in pharmacies in the second half of 2024.
 

A version of this article appeared on Medscape.com.

The US Food and Drug Administration (FDA) has approved Onyda XR (clonidine hydrochloride) for the treatment of attention-deficit/hyperactivity disorder (ADHD), drug manufacturer Tris Pharma announced in a statement.

The drug is the first approved liquid nonstimulant ADHD medication. The once-daily extended-release oral suspension, with nighttime dosing, can be used alone or as an adjunctive therapy to FDA-approved stimulant medications in pediatric patients 6 years of age or older.

“People with ADHD require a range of therapeutic options that are designed for their individual needs, because not every medication or type of therapy works for every patient,” Ann Childress, MD, a psychiatrist and president of the Las Vegas–based Center for Psychiatry and Behavioral Medicine, said in the release. 

“The approval of Onyda XR, the only liquid non-stimulant ADHD medication, with nighttime dosing that shifts the release profile, is a convenient option for patients needing better ADHD control,” she added.

The approval was based on “adequate and well-controlled studies” of the company’s extended-release tablets.

Onyda XR is contraindicated in patients with a history of a hypersensitivity reaction to clonidine. 

The medication can cause dose-related decreases in blood pressure and heart rate. Vital signs should be monitored frequently in at-risk patients. In studies with the extended-release tablets, somnolence and sedation were commonly reported adverse reactions. The sympatholytic action of clonidine may worsen sinus node dysfunction and atrioventricular block, especially in patients taking other sympatholytic drugs, the company noted.

Onyda XR should be available in pharmacies in the second half of 2024.
 

A version of this article appeared on Medscape.com.

The US Food and Drug Administration (FDA) has approved Onyda XR (clonidine hydrochloride) for the treatment of attention-deficit/hyperactivity disorder (ADHD), drug manufacturer Tris Pharma announced in a statement.

The drug is the first approved liquid nonstimulant ADHD medication. The once-daily extended-release oral suspension, with nighttime dosing, can be used alone or as an adjunctive therapy to FDA-approved stimulant medications in pediatric patients 6 years of age or older.

“People with ADHD require a range of therapeutic options that are designed for their individual needs, because not every medication or type of therapy works for every patient,” Ann Childress, MD, a psychiatrist and president of the Las Vegas–based Center for Psychiatry and Behavioral Medicine, said in the release. 

“The approval of Onyda XR, the only liquid non-stimulant ADHD medication, with nighttime dosing that shifts the release profile, is a convenient option for patients needing better ADHD control,” she added.

The approval was based on “adequate and well-controlled studies” of the company’s extended-release tablets.

Onyda XR is contraindicated in patients with a history of a hypersensitivity reaction to clonidine. 

The medication can cause dose-related decreases in blood pressure and heart rate. Vital signs should be monitored frequently in at-risk patients. In studies with the extended-release tablets, somnolence and sedation were commonly reported adverse reactions. The sympatholytic action of clonidine may worsen sinus node dysfunction and atrioventricular block, especially in patients taking other sympatholytic drugs, the company noted.

Onyda XR should be available in pharmacies in the second half of 2024.
 

A version of this article appeared on Medscape.com.

Teens with classmates who have a mental illness have a significantly greater risk for a psychiatric diagnosis later in life, even after controlling for parents’ mental health history and other factors, a new study suggested.

The research provides new evidence that adolescents within a specific peer network may possibly “transmit” mental disorders such as depression and anxiety to each other, the investigators noted.

Having a classmate with a mental illness was associated with a 3% higher risk for subsequent psychiatric diagnosis, researchers found. The risk was highest — 13% — in the first year of follow-up and was strongest for mood, anxiety, and eating disorders.

The study is said to the be the largest to date on the topic, including data on more than 700,000 ninth graders in Finland who were followed for up to 18 years.

At least one expert noted that the numbers are higher than he would have expected, but the investigators were quick to caution the study doesn’t prove having a classmate with a mental illness leads to later psychiatric diagnosis among peers.

“The associations observed in the study are not necessarily causal,” lead investigator Jussi Alho, PhD, a postdoctoral researcher at the University of Helsinki, Finland, told this news organization. “The study did not investigate the mechanisms that explain the observed associations.”

The results were published online on May 22 in JAMA Psychiatry.
 

Few Data

Previous studies have reported a clustering of mood symptoms, eating disorders, and other psychiatric illnesses among adolescent and adult social networks. But most involve self-selected peer groups.

“Investigating the transmission of mental disorders is especially important in childhood and adolescence,” the authors noted. “Yet, despite a few survey studies reporting that adolescents may experience increased mental health symptoms when exposed to friends or peers with mental health problems, large-scale studies on the potential peer influences of mental disorders in youth are lacking,” the authors wrote.

Researchers used a database of 713,809 students in the ninth grade, about half boys and half girls. All were born between January 1, 1985, and December 31, 1997. About 47,000 were excluded as they had a mental disorder diagnosis before the study began.

Some 666,000 students in 860 schools were followed from ninth grade until the first diagnosed mental disorder, death, emigration, or the end of the study in 2019. Median follow-up was 11.4 years.

Diagnoses were gathered from Finnish registries for inpatient, outpatient, and primary care and included ICD-9 and ICD-10 diagnoses for substance misuse disorders, schizophrenia spectrum disorders, mood disorders, anxiety disorders, eating disorders, emotional and social-functioning disorders, and hyperkinetic and conduct disorders.

The authors adjusted for sex, birth year, school and ninth-grade class size, area-level urbanicity, area-level morbidity, area-level education, area-level employment rate, parental educational level, and parental mental health, with a random intercept per school.
 

Dose-Response Relationship

Overall, a quarter (167,227) of the students were diagnosed with a mental disorder.

The risk of being diagnosed with any mental disorder was 3% higher during the entire follow-up period (hazard ratio [HR], 1.03; 95% CI, 1.02-1.04). Risk was highest in the first year of follow-up (HR, 1.13; 95% CI, 1.08-1.18) and then rose again in years 4 and 5, when the risk was 5% higher with one diagnosed classmate and 10% higher with more than one diagnosed classmate.

The risk was significantly increased for mood, anxiety, and eating disorders in each follow-up time window. Investigators also noted a dose-response relationship: The more classmates with a psychiatric illness, the greater the risk for later mental illness.

“These findings suggest that mental disorders may be transmitted within adolescent peer networks,” the authors wrote.

The researchers chose to describe the spread of mental disorders among peer classmates as “transmission” in part because it has been previously used in the literature, Dr. Alho said.

Alho said the researchers also believe that transmission is an accurate term to describe the potential mechanisms by which mental disorders may spread.

The authors hypothesized that more students might be diagnosed when disorders are normalized, through increased awareness and receptivity to diagnosis and treatment.

Conversely, the rate of disorders might also have increased — especially in the first year of follow-up — if there were no students in the peer network who had been diagnosed, the authors added. Without an example, it might discourage a student to seek help.

The authors also noted that it’s “conceivable that long-term exposure to a depressive individual could lead to gradual development of depressive symptoms through the well-established neural mechanisms of emotional contagion.”
 

New Direction for Treatment?

Commenting on the findings, Madhukar H. Trivedi, MD, the Betty Jo Hay Distinguished Chair in Mental Health at UT Southwestern Medical School, Dallas, said that the theory that having classmates with psychiatric illness could normalize these conditions has merit.

Once someone is diagnosed or receives treatment, “their peers kind of get implicit permission to be able to then express their own symptoms or express their own problems, which they may have been hiding or not recognized,” he said.

However, Dr. Trivedi disagreed with the authors’ suggestion that the rate of disorders might also have increased if no classmates had received a psychiatric diagnosis, noting that it was unlikely that a student would not have been exposed to depression, anxiety, or another mood disorder — through a peer or family member — given how common those illnesses are.

“The numbers are slightly higher than I would have expected,” Dr. Trivedi said, adding that peer influence having that type of impact “is something that has not been shown before.”

The study is notable for its use of comprehensive registries, which helped solidify the data integrity, Trivedi said, and the results offer some potential new directions for treatment, such as adding peer support. That has been found useful in adult treatment but has been less utilized with adolescents, he said.

The study was funded by the European Union and the Academy of Finland. The authors reported no relevant financial relationships.
 

A version of this article appeared on Medscape.com.

Teens with classmates who have a mental illness have a significantly greater risk for a psychiatric diagnosis later in life, even after controlling for parents’ mental health history and other factors, a new study suggested.

The research provides new evidence that adolescents within a specific peer network may possibly “transmit” mental disorders such as depression and anxiety to each other, the investigators noted.

Having a classmate with a mental illness was associated with a 3% higher risk for subsequent psychiatric diagnosis, researchers found. The risk was highest — 13% — in the first year of follow-up and was strongest for mood, anxiety, and eating disorders.

The study is said to the be the largest to date on the topic, including data on more than 700,000 ninth graders in Finland who were followed for up to 18 years.

At least one expert noted that the numbers are higher than he would have expected, but the investigators were quick to caution the study doesn’t prove having a classmate with a mental illness leads to later psychiatric diagnosis among peers.

“The associations observed in the study are not necessarily causal,” lead investigator Jussi Alho, PhD, a postdoctoral researcher at the University of Helsinki, Finland, told this news organization. “The study did not investigate the mechanisms that explain the observed associations.”

The results were published online on May 22 in JAMA Psychiatry.
 

Few Data

Previous studies have reported a clustering of mood symptoms, eating disorders, and other psychiatric illnesses among adolescent and adult social networks. But most involve self-selected peer groups.

“Investigating the transmission of mental disorders is especially important in childhood and adolescence,” the authors noted. “Yet, despite a few survey studies reporting that adolescents may experience increased mental health symptoms when exposed to friends or peers with mental health problems, large-scale studies on the potential peer influences of mental disorders in youth are lacking,” the authors wrote.

Researchers used a database of 713,809 students in the ninth grade, about half boys and half girls. All were born between January 1, 1985, and December 31, 1997. About 47,000 were excluded as they had a mental disorder diagnosis before the study began.

Some 666,000 students in 860 schools were followed from ninth grade until the first diagnosed mental disorder, death, emigration, or the end of the study in 2019. Median follow-up was 11.4 years.

Diagnoses were gathered from Finnish registries for inpatient, outpatient, and primary care and included ICD-9 and ICD-10 diagnoses for substance misuse disorders, schizophrenia spectrum disorders, mood disorders, anxiety disorders, eating disorders, emotional and social-functioning disorders, and hyperkinetic and conduct disorders.

The authors adjusted for sex, birth year, school and ninth-grade class size, area-level urbanicity, area-level morbidity, area-level education, area-level employment rate, parental educational level, and parental mental health, with a random intercept per school.
 

Dose-Response Relationship

Overall, a quarter (167,227) of the students were diagnosed with a mental disorder.

The risk of being diagnosed with any mental disorder was 3% higher during the entire follow-up period (hazard ratio [HR], 1.03; 95% CI, 1.02-1.04). Risk was highest in the first year of follow-up (HR, 1.13; 95% CI, 1.08-1.18) and then rose again in years 4 and 5, when the risk was 5% higher with one diagnosed classmate and 10% higher with more than one diagnosed classmate.

The risk was significantly increased for mood, anxiety, and eating disorders in each follow-up time window. Investigators also noted a dose-response relationship: The more classmates with a psychiatric illness, the greater the risk for later mental illness.

“These findings suggest that mental disorders may be transmitted within adolescent peer networks,” the authors wrote.

The researchers chose to describe the spread of mental disorders among peer classmates as “transmission” in part because it has been previously used in the literature, Dr. Alho said.

Alho said the researchers also believe that transmission is an accurate term to describe the potential mechanisms by which mental disorders may spread.

The authors hypothesized that more students might be diagnosed when disorders are normalized, through increased awareness and receptivity to diagnosis and treatment.

Conversely, the rate of disorders might also have increased — especially in the first year of follow-up — if there were no students in the peer network who had been diagnosed, the authors added. Without an example, it might discourage a student to seek help.

The authors also noted that it’s “conceivable that long-term exposure to a depressive individual could lead to gradual development of depressive symptoms through the well-established neural mechanisms of emotional contagion.”
 

New Direction for Treatment?

Commenting on the findings, Madhukar H. Trivedi, MD, the Betty Jo Hay Distinguished Chair in Mental Health at UT Southwestern Medical School, Dallas, said that the theory that having classmates with psychiatric illness could normalize these conditions has merit.

Once someone is diagnosed or receives treatment, “their peers kind of get implicit permission to be able to then express their own symptoms or express their own problems, which they may have been hiding or not recognized,” he said.

However, Dr. Trivedi disagreed with the authors’ suggestion that the rate of disorders might also have increased if no classmates had received a psychiatric diagnosis, noting that it was unlikely that a student would not have been exposed to depression, anxiety, or another mood disorder — through a peer or family member — given how common those illnesses are.

“The numbers are slightly higher than I would have expected,” Dr. Trivedi said, adding that peer influence having that type of impact “is something that has not been shown before.”

The study is notable for its use of comprehensive registries, which helped solidify the data integrity, Trivedi said, and the results offer some potential new directions for treatment, such as adding peer support. That has been found useful in adult treatment but has been less utilized with adolescents, he said.

The study was funded by the European Union and the Academy of Finland. The authors reported no relevant financial relationships.
 

A version of this article appeared on Medscape.com.

Teens with classmates who have a mental illness have a significantly greater risk for a psychiatric diagnosis later in life, even after controlling for parents’ mental health history and other factors, a new study suggested.

The research provides new evidence that adolescents within a specific peer network may possibly “transmit” mental disorders such as depression and anxiety to each other, the investigators noted.

Having a classmate with a mental illness was associated with a 3% higher risk for subsequent psychiatric diagnosis, researchers found. The risk was highest — 13% — in the first year of follow-up and was strongest for mood, anxiety, and eating disorders.

The study is said to the be the largest to date on the topic, including data on more than 700,000 ninth graders in Finland who were followed for up to 18 years.

At least one expert noted that the numbers are higher than he would have expected, but the investigators were quick to caution the study doesn’t prove having a classmate with a mental illness leads to later psychiatric diagnosis among peers.

“The associations observed in the study are not necessarily causal,” lead investigator Jussi Alho, PhD, a postdoctoral researcher at the University of Helsinki, Finland, told this news organization. “The study did not investigate the mechanisms that explain the observed associations.”

The results were published online on May 22 in JAMA Psychiatry.
 

Few Data

Previous studies have reported a clustering of mood symptoms, eating disorders, and other psychiatric illnesses among adolescent and adult social networks. But most involve self-selected peer groups.

“Investigating the transmission of mental disorders is especially important in childhood and adolescence,” the authors noted. “Yet, despite a few survey studies reporting that adolescents may experience increased mental health symptoms when exposed to friends or peers with mental health problems, large-scale studies on the potential peer influences of mental disorders in youth are lacking,” the authors wrote.

Researchers used a database of 713,809 students in the ninth grade, about half boys and half girls. All were born between January 1, 1985, and December 31, 1997. About 47,000 were excluded as they had a mental disorder diagnosis before the study began.

Some 666,000 students in 860 schools were followed from ninth grade until the first diagnosed mental disorder, death, emigration, or the end of the study in 2019. Median follow-up was 11.4 years.

Diagnoses were gathered from Finnish registries for inpatient, outpatient, and primary care and included ICD-9 and ICD-10 diagnoses for substance misuse disorders, schizophrenia spectrum disorders, mood disorders, anxiety disorders, eating disorders, emotional and social-functioning disorders, and hyperkinetic and conduct disorders.

The authors adjusted for sex, birth year, school and ninth-grade class size, area-level urbanicity, area-level morbidity, area-level education, area-level employment rate, parental educational level, and parental mental health, with a random intercept per school.
 

Dose-Response Relationship

Overall, a quarter (167,227) of the students were diagnosed with a mental disorder.

The risk of being diagnosed with any mental disorder was 3% higher during the entire follow-up period (hazard ratio [HR], 1.03; 95% CI, 1.02-1.04). Risk was highest in the first year of follow-up (HR, 1.13; 95% CI, 1.08-1.18) and then rose again in years 4 and 5, when the risk was 5% higher with one diagnosed classmate and 10% higher with more than one diagnosed classmate.

The risk was significantly increased for mood, anxiety, and eating disorders in each follow-up time window. Investigators also noted a dose-response relationship: The more classmates with a psychiatric illness, the greater the risk for later mental illness.

“These findings suggest that mental disorders may be transmitted within adolescent peer networks,” the authors wrote.

The researchers chose to describe the spread of mental disorders among peer classmates as “transmission” in part because it has been previously used in the literature, Dr. Alho said.

Alho said the researchers also believe that transmission is an accurate term to describe the potential mechanisms by which mental disorders may spread.

The authors hypothesized that more students might be diagnosed when disorders are normalized, through increased awareness and receptivity to diagnosis and treatment.

Conversely, the rate of disorders might also have increased — especially in the first year of follow-up — if there were no students in the peer network who had been diagnosed, the authors added. Without an example, it might discourage a student to seek help.

The authors also noted that it’s “conceivable that long-term exposure to a depressive individual could lead to gradual development of depressive symptoms through the well-established neural mechanisms of emotional contagion.”
 

New Direction for Treatment?

Commenting on the findings, Madhukar H. Trivedi, MD, the Betty Jo Hay Distinguished Chair in Mental Health at UT Southwestern Medical School, Dallas, said that the theory that having classmates with psychiatric illness could normalize these conditions has merit.

Once someone is diagnosed or receives treatment, “their peers kind of get implicit permission to be able to then express their own symptoms or express their own problems, which they may have been hiding or not recognized,” he said.

However, Dr. Trivedi disagreed with the authors’ suggestion that the rate of disorders might also have increased if no classmates had received a psychiatric diagnosis, noting that it was unlikely that a student would not have been exposed to depression, anxiety, or another mood disorder — through a peer or family member — given how common those illnesses are.

“The numbers are slightly higher than I would have expected,” Dr. Trivedi said, adding that peer influence having that type of impact “is something that has not been shown before.”

The study is notable for its use of comprehensive registries, which helped solidify the data integrity, Trivedi said, and the results offer some potential new directions for treatment, such as adding peer support. That has been found useful in adult treatment but has been less utilized with adolescents, he said.

The study was funded by the European Union and the Academy of Finland. The authors reported no relevant financial relationships.
 

A version of this article appeared on Medscape.com.

Nearly one-fifth of suicides in the United States occur in people who were incarcerated in the previous year, a new study showed.

An analysis of more than seven million recently incarcerated US adults revealed a nearly ninefold increased risk for suicide within 1 year after release and an almost sevenfold higher risk during the 2 years following release compared with nonincarcerated people.

The findings suggest that recent incarceration should be considered a risk factor for suicide, investigators said.

“Suicide prevention efforts should focus on people who have spent at least 1 night in jail in the past year,” investigator Ted R. Miller, PhD, of the Pacific Institute for Research and Evaluation, Beltsville, Maryland, and Curtin University School of Public Health, Silver Spring, Maryland, and colleagues wrote. “Health systems could develop infrastructure to identify these high-risk adults and provide community-based suicide screening and prevention.” 

The study was published online on May 10, 2024, in JAMA Network Open.

To address the lack of data on suicide risk after recent incarceration, researchers used estimates from meta-analyses and jail census counts.

In 2019, a little more than seven million people (77% male), or 2.8% of the US adult population, were released from US jails at least once, typically after brief pretrial stays. Of those, 9121 died by suicide.

Compared with suicide risk in people who had never been incarcerated, risk was nearly nine times higher within 1 year of release (relative risk [RR], 8.95; 95% CI, 7.21-10.69) and nearly seven times higher during the second year after release (RR, 6.98; 95% CI, 4.21-9.76), researchers found.

Over a quarter (27%) of all adult suicides in the United States occurred in formerly incarcerated people within 2 years of jail release, and one fifth occurred within 1 year of release.

“The results suggest that better integration of suicide risk detection and prevention across health and criminal justice systems is critical to advancing population-level suicide-prevention efforts,” the authors wrote.

High volumes of jail admissions and discharges, short jail stays, and understaffing limit the capacity of many jails to coordinate care with outside health agencies, researchers acknowledged.

“The suicide rate after the return to the community after jail stay is higher than the suicide rate in jail, but local jails have limited capacity to coordinate postrelease health activities,” authors wrote. “Thus, a comprehensive approach to reducing the population-level US suicide rate would include health systems screening their subscribers or patients for recent arrest or police involvement and reaching out to those recently released to prevent suicide.”

In an accompanying editorial, Stuart A. Kinner, PhD, and Rohan Borschmann, PhD, both with the Melbourne School of Population and Global Health, University of Melbourne, Australia, noted that people who experience incarceration “are distinguished by complex health problems that necessitate coordinated, multisectoral care.”

“Miller and colleagues’ findings provide further evidence that incarceration serves as an important marker for disease vulnerability and risk,” Dr. Kinner and Borschmann wrote. “Yet, all too often, the health care provided to these individuals before, during, and after incarceration is underresourced, interrupted, and fragmented.”

Coordinating care for recently incarcerated individuals will require a coordinated effort by all stakeholders, including those in the criminal justice system, they argued.

“The systems that incarcerate 7.1 million people in the United States each year should not be given a get-out-of-jail-free card,” they wrote.

This study was supported by grants from the National Institutes of Mental Health (NIMH)/National Institutes of Health (NIH) and from the National Center for Health and Justice Integration for Suicide Prevention. Dr. Miller reported receiving grants from the NIMH/NIH with his employer as a subcontractor during the conduct of the study and a contract from government plaintiffs in Opioid Litigation: Epidemiology/Abatement Planning outside the submitted work. The other authors’ disclosures are listed on the original paper. Dr. Kinner and Borschmann declared no relevant financial relationships. 
 

A version of this article appeared on Medscape.com.

Nearly one-fifth of suicides in the United States occur in people who were incarcerated in the previous year, a new study showed.

An analysis of more than seven million recently incarcerated US adults revealed a nearly ninefold increased risk for suicide within 1 year after release and an almost sevenfold higher risk during the 2 years following release compared with nonincarcerated people.

The findings suggest that recent incarceration should be considered a risk factor for suicide, investigators said.

“Suicide prevention efforts should focus on people who have spent at least 1 night in jail in the past year,” investigator Ted R. Miller, PhD, of the Pacific Institute for Research and Evaluation, Beltsville, Maryland, and Curtin University School of Public Health, Silver Spring, Maryland, and colleagues wrote. “Health systems could develop infrastructure to identify these high-risk adults and provide community-based suicide screening and prevention.” 

The study was published online on May 10, 2024, in JAMA Network Open.

To address the lack of data on suicide risk after recent incarceration, researchers used estimates from meta-analyses and jail census counts.

In 2019, a little more than seven million people (77% male), or 2.8% of the US adult population, were released from US jails at least once, typically after brief pretrial stays. Of those, 9121 died by suicide.

Compared with suicide risk in people who had never been incarcerated, risk was nearly nine times higher within 1 year of release (relative risk [RR], 8.95; 95% CI, 7.21-10.69) and nearly seven times higher during the second year after release (RR, 6.98; 95% CI, 4.21-9.76), researchers found.

Over a quarter (27%) of all adult suicides in the United States occurred in formerly incarcerated people within 2 years of jail release, and one fifth occurred within 1 year of release.

“The results suggest that better integration of suicide risk detection and prevention across health and criminal justice systems is critical to advancing population-level suicide-prevention efforts,” the authors wrote.

High volumes of jail admissions and discharges, short jail stays, and understaffing limit the capacity of many jails to coordinate care with outside health agencies, researchers acknowledged.

“The suicide rate after the return to the community after jail stay is higher than the suicide rate in jail, but local jails have limited capacity to coordinate postrelease health activities,” authors wrote. “Thus, a comprehensive approach to reducing the population-level US suicide rate would include health systems screening their subscribers or patients for recent arrest or police involvement and reaching out to those recently released to prevent suicide.”

In an accompanying editorial, Stuart A. Kinner, PhD, and Rohan Borschmann, PhD, both with the Melbourne School of Population and Global Health, University of Melbourne, Australia, noted that people who experience incarceration “are distinguished by complex health problems that necessitate coordinated, multisectoral care.”

“Miller and colleagues’ findings provide further evidence that incarceration serves as an important marker for disease vulnerability and risk,” Dr. Kinner and Borschmann wrote. “Yet, all too often, the health care provided to these individuals before, during, and after incarceration is underresourced, interrupted, and fragmented.”

Coordinating care for recently incarcerated individuals will require a coordinated effort by all stakeholders, including those in the criminal justice system, they argued.

“The systems that incarcerate 7.1 million people in the United States each year should not be given a get-out-of-jail-free card,” they wrote.

This study was supported by grants from the National Institutes of Mental Health (NIMH)/National Institutes of Health (NIH) and from the National Center for Health and Justice Integration for Suicide Prevention. Dr. Miller reported receiving grants from the NIMH/NIH with his employer as a subcontractor during the conduct of the study and a contract from government plaintiffs in Opioid Litigation: Epidemiology/Abatement Planning outside the submitted work. The other authors’ disclosures are listed on the original paper. Dr. Kinner and Borschmann declared no relevant financial relationships. 
 

A version of this article appeared on Medscape.com.

Nearly one-fifth of suicides in the United States occur in people who were incarcerated in the previous year, a new study showed.

An analysis of more than seven million recently incarcerated US adults revealed a nearly ninefold increased risk for suicide within 1 year after release and an almost sevenfold higher risk during the 2 years following release compared with nonincarcerated people.

The findings suggest that recent incarceration should be considered a risk factor for suicide, investigators said.

“Suicide prevention efforts should focus on people who have spent at least 1 night in jail in the past year,” investigator Ted R. Miller, PhD, of the Pacific Institute for Research and Evaluation, Beltsville, Maryland, and Curtin University School of Public Health, Silver Spring, Maryland, and colleagues wrote. “Health systems could develop infrastructure to identify these high-risk adults and provide community-based suicide screening and prevention.” 

The study was published online on May 10, 2024, in JAMA Network Open.

To address the lack of data on suicide risk after recent incarceration, researchers used estimates from meta-analyses and jail census counts.

In 2019, a little more than seven million people (77% male), or 2.8% of the US adult population, were released from US jails at least once, typically after brief pretrial stays. Of those, 9121 died by suicide.

Compared with suicide risk in people who had never been incarcerated, risk was nearly nine times higher within 1 year of release (relative risk [RR], 8.95; 95% CI, 7.21-10.69) and nearly seven times higher during the second year after release (RR, 6.98; 95% CI, 4.21-9.76), researchers found.

Over a quarter (27%) of all adult suicides in the United States occurred in formerly incarcerated people within 2 years of jail release, and one fifth occurred within 1 year of release.

“The results suggest that better integration of suicide risk detection and prevention across health and criminal justice systems is critical to advancing population-level suicide-prevention efforts,” the authors wrote.

High volumes of jail admissions and discharges, short jail stays, and understaffing limit the capacity of many jails to coordinate care with outside health agencies, researchers acknowledged.

“The suicide rate after the return to the community after jail stay is higher than the suicide rate in jail, but local jails have limited capacity to coordinate postrelease health activities,” authors wrote. “Thus, a comprehensive approach to reducing the population-level US suicide rate would include health systems screening their subscribers or patients for recent arrest or police involvement and reaching out to those recently released to prevent suicide.”

In an accompanying editorial, Stuart A. Kinner, PhD, and Rohan Borschmann, PhD, both with the Melbourne School of Population and Global Health, University of Melbourne, Australia, noted that people who experience incarceration “are distinguished by complex health problems that necessitate coordinated, multisectoral care.”

“Miller and colleagues’ findings provide further evidence that incarceration serves as an important marker for disease vulnerability and risk,” Dr. Kinner and Borschmann wrote. “Yet, all too often, the health care provided to these individuals before, during, and after incarceration is underresourced, interrupted, and fragmented.”

Coordinating care for recently incarcerated individuals will require a coordinated effort by all stakeholders, including those in the criminal justice system, they argued.

“The systems that incarcerate 7.1 million people in the United States each year should not be given a get-out-of-jail-free card,” they wrote.

This study was supported by grants from the National Institutes of Mental Health (NIMH)/National Institutes of Health (NIH) and from the National Center for Health and Justice Integration for Suicide Prevention. Dr. Miller reported receiving grants from the NIMH/NIH with his employer as a subcontractor during the conduct of the study and a contract from government plaintiffs in Opioid Litigation: Epidemiology/Abatement Planning outside the submitted work. The other authors’ disclosures are listed on the original paper. Dr. Kinner and Borschmann declared no relevant financial relationships. 
 

A version of this article appeared on Medscape.com.

TOPLINE:

Individuals with severe maternal morbidity (SMM) are at an increased risk for mental health condition–related hospitalization or emergency department (ED) visits up to 13 years after delivery.

METHODOLOGY:

• This retrospective cohort study compared mental health hospitalizations and ED visits in postpartum individuals with and without SMM over 13 years after delivery from April 2008 to March 2021.
• The study analyzed 1,579,392 individuals aged 18-55 years with a first recorded liveborn or stillborn delivery from a pregnancy lasting 20-43 weeks, of which 35,825 (2.3%) had exposure to SMM.
• The SMM exposure was analyzed for events occurring after 20 weeks’ gestation and up to 42 days after delivery hospital discharge in the first recorded birth; those without SMM were considered unexposed.
• The main outcome was a combination of mental health hospitalizations or ED visits occurring at least 43 days after the index birth hospitalization.

TAKEAWAY:

• Individuals with SMM had a 1.3-fold increased risk of mental health hospitalizations or ED visits.
• The hospital or ED visits per 10,000 person-years were 59.2 for mood and anxiety disorders, 17.1 for substance abuse and related disorders, 4.8 for suicidality or self-harm, and 4.1 for schizophrenia spectrum or other psychotic disorders.
• Following SMM, an elevated risk was observed for all mental health outcomes except one (schizophrenia spectrum and other psychotic disorders), with the highest risk seen for suicidality and self-harm (aHR, 1.54).

IN PRACTICE:

“Knowledge of the short- and long-term risks of serious mental health conditions after SMM and its subtypes could inform the need for enhanced postpartum supportive resources,” the authors wrote.

SOURCE:

This study was led by Asia Blackman, MSc, Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Québec, Canada. It was published online in JAMA Network Open.

LIMITATIONS:

The study is limited by its observational design, missing data, and misclassification bias.

DISCLOSURES:

This study was supported by funding from the Canadian Institutes of Health Research. Three authors reported receiving personal fees or grants outside the submitted work. No other conflicts of interest were reported.

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

TOPLINE:

Individuals with severe maternal morbidity (SMM) are at an increased risk for mental health condition–related hospitalization or emergency department (ED) visits up to 13 years after delivery.

METHODOLOGY:

• This retrospective cohort study compared mental health hospitalizations and ED visits in postpartum individuals with and without SMM over 13 years after delivery from April 2008 to March 2021.
• The study analyzed 1,579,392 individuals aged 18-55 years with a first recorded liveborn or stillborn delivery from a pregnancy lasting 20-43 weeks, of which 35,825 (2.3%) had exposure to SMM.
• The SMM exposure was analyzed for events occurring after 20 weeks’ gestation and up to 42 days after delivery hospital discharge in the first recorded birth; those without SMM were considered unexposed.
• The main outcome was a combination of mental health hospitalizations or ED visits occurring at least 43 days after the index birth hospitalization.

TAKEAWAY:

• Individuals with SMM had a 1.3-fold increased risk of mental health hospitalizations or ED visits.
• The hospital or ED visits per 10,000 person-years were 59.2 for mood and anxiety disorders, 17.1 for substance abuse and related disorders, 4.8 for suicidality or self-harm, and 4.1 for schizophrenia spectrum or other psychotic disorders.
• Following SMM, an elevated risk was observed for all mental health outcomes except one (schizophrenia spectrum and other psychotic disorders), with the highest risk seen for suicidality and self-harm (aHR, 1.54).

IN PRACTICE:

“Knowledge of the short- and long-term risks of serious mental health conditions after SMM and its subtypes could inform the need for enhanced postpartum supportive resources,” the authors wrote.

SOURCE:

This study was led by Asia Blackman, MSc, Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Québec, Canada. It was published online in JAMA Network Open.

LIMITATIONS:

The study is limited by its observational design, missing data, and misclassification bias.

DISCLOSURES:

This study was supported by funding from the Canadian Institutes of Health Research. Three authors reported receiving personal fees or grants outside the submitted work. No other conflicts of interest were reported.

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

TOPLINE:

Individuals with severe maternal morbidity (SMM) are at an increased risk for mental health condition–related hospitalization or emergency department (ED) visits up to 13 years after delivery.

METHODOLOGY:

• This retrospective cohort study compared mental health hospitalizations and ED visits in postpartum individuals with and without SMM over 13 years after delivery from April 2008 to March 2021.
• The study analyzed 1,579,392 individuals aged 18-55 years with a first recorded liveborn or stillborn delivery from a pregnancy lasting 20-43 weeks, of which 35,825 (2.3%) had exposure to SMM.
• The SMM exposure was analyzed for events occurring after 20 weeks’ gestation and up to 42 days after delivery hospital discharge in the first recorded birth; those without SMM were considered unexposed.
• The main outcome was a combination of mental health hospitalizations or ED visits occurring at least 43 days after the index birth hospitalization.

TAKEAWAY:

• Individuals with SMM had a 1.3-fold increased risk of mental health hospitalizations or ED visits.
• The hospital or ED visits per 10,000 person-years were 59.2 for mood and anxiety disorders, 17.1 for substance abuse and related disorders, 4.8 for suicidality or self-harm, and 4.1 for schizophrenia spectrum or other psychotic disorders.
• Following SMM, an elevated risk was observed for all mental health outcomes except one (schizophrenia spectrum and other psychotic disorders), with the highest risk seen for suicidality and self-harm (aHR, 1.54).

IN PRACTICE:

“Knowledge of the short- and long-term risks of serious mental health conditions after SMM and its subtypes could inform the need for enhanced postpartum supportive resources,” the authors wrote.

SOURCE:

This study was led by Asia Blackman, MSc, Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Québec, Canada. It was published online in JAMA Network Open.

LIMITATIONS:

The study is limited by its observational design, missing data, and misclassification bias.

DISCLOSURES:

This study was supported by funding from the Canadian Institutes of Health Research. Three authors reported receiving personal fees or grants outside the submitted work. No other conflicts of interest were reported.

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

Seniors are increasingly targeted in ever-sophisticated online financial cybercrimes, but mental health clinicians can play a key role in protecting their patients.

Elizabeth J. Santos, MD, clinical chief, Division of Geriatric Mental Health & Memory Care, and associate professor of psychiatry, neurology & medicine, University of Rochester School of Medicine and Dentistry, Rochester, New York, provided tips to attendees of the American Psychiatric Association (APA) 2024 Annual Meeting, and elaborated on these for this news organization.

Cybercrimes targeting seniors are common. A 2023 University of Michigan National Poll on Healthy Aging found 75% of adults aged 50-80 years experienced a fraud attempt either online or by phone, text, email, or mail in the past 2 years.

The poll found about 30% of respondents reported experiencing financial fraud, which could involve compromising credit cards, hacking bank accounts, or identity theft.

Older age is a risk factor for cybercrime. Seniors may have lower cognitive functioning and/or impaired decision-making. In addition, they are often socially isolated, dependent on others, and have poor health and financial literacy.
 

Romance Scams Common

Romance scams are another common financial fraud. Stephanie Garayalde, MD, a geriatric psychiatrist at the University of Florida, Gainesville, Florida, and another presenter at the APA session, used the example of Mr. L, a 74-year-old outpatient under treatment for depression who was unable to pay his rent.

Mr. L was giving money to his “girlfriend” he met online. Their relationship was totally virtual; she always had constant excuses for not meeting in person. He was funneling increasing funds to pay what he believed were medical bills and to bail her out of various other emergencies.

Once the fraud was discovered, Mr. L not only felt the loneliness of a lost romantic connection but also grappled with feelings of embarrassment and guilt.

“I see older patients who have been scammed who feel ashamed that they haven’t left enough money for their families,” said Dr. Santos.

Another well-known scam targets grandparents. Fraudsters sometimes use an artificial intelligence–generated voice mimicking a young family member and pretend to need money right away for bail or another problem.

In such situations, Dr. Santos advises patients to “hang up and call your family” to verify the call “no matter what the person says or who they sound like.”

Scammers may impersonate government officials to try to get social insurance information. Dr. Santos stresses the importance of never giving out this information. “If someone says they’re from your bank or a government agency like the IRS, hang up and call the bank or agency yourself.”

Evidence suggests this and other cybercrimes are on the rise. The Federal Bureau of Investigation’s Internet Crime Complaint Center received 888,000 complaints in 2023, a 10% increase from 2022, and losses of about $12.5 billion, which is a 22% increase over 2022.

It’s not that uncommon for the same older person to be scammed by numerous people and fall for it again and again, said Dr. Santos.

To mitigate the risk to this vulnerable group, researchers at the University of Central Florida, Orlando, Florida, are developing a scam screener for the elderly that will provide tools to help doctors screen older adults. The screen will focus on identifying factors that make victims most vulnerable, including seniors’ ability to think critically, a necessary skill for guarding against cybercrime.
 

Red Flags

In the meantime, Dr. Santos identified red flags for clinicians. Patients may show deviations in their typical behaviors; for example, they may seem sadder, more subdued, or more withdrawn than usual.

As loneliness and isolation can be a signal of victimization, “ask patients about their connectedness and be suspicious if the connectedness is all virtual,” she said.

Learning about the quality of their relationships is also important. “Instead of asking the superficial question of ‘Do you have friends’, ask ‘How do you talk to your friends? Are you actually getting out and meeting them?’”

If patients report they have never actually seen these so-called friends in-person, it should raise a red flag.

Another clue something may be amiss is “needing to be on their device or be home to get a call at a certain time.” Dr. Santos recalled a patient whose cell phone rang constantly during an evaluation, even after she had changed her phone number several times. “The scammers kept tracking her down,” she said.

Patients who are victims of cybercrime may stop taking their medications, fail to follow up on ordered tests, or miss paying for medical services.

Dr. Santos recommended screening for conditions known to be linked to cybercrime victimization such as depression. One of her patients was attending her memory clinic, but their cognitive issues were due to depression, not dementia.

It is important to identify subtle cognitive impairments. Dr. Santos recommended using the Saint Louis University Mental Status Examination, which she says is easier to use than the Montreal Cognitive Assessment.
 

Avoid Shaming

When managing patients who are potential cybercrime victims, she also suggests doctors be careful about their tone and their attitude. “Don’t shame someone for becoming a victim because it happens to everyone.”

When patients show signs of victimization, physicians could consider asking about their Internet use, social media practices, and general safety surrounding their finances.

They should emphasize the importance of protecting accounts through strong passwords, multifactor authentication when possible, and avoidance of sharing personal information with anyone who calls, emails, or texts.

Clinicians might also consider asking patients to review bills for new or unusual charges, check their bank account statements for withdrawals they didn’t make, and review credit reports for accounts in their name they don’t recognize.

Clinicians should also encourage patients to have a healthcare proxy, power of attorney, and advanced directives and recommend resources that can help victims. These include:

Federal Trade Commission (to report identity theft): https://reportfraud.ftc.gov;  https://www.identitytheft.gov

Federal Bureau of Investigation – Internet Crime and Complaint Center https://www.ic3.gov

National Elder Fraud Hotline (1-833-372-8311) or 1-833-FRAUD-11

http://ovc.ojp.gov/program/stop-elder-fraud/providing-help-restoring-hope

A version of this article appeared on Medscape.com.

Seniors are increasingly targeted in ever-sophisticated online financial cybercrimes, but mental health clinicians can play a key role in protecting their patients.

Elizabeth J. Santos, MD, clinical chief, Division of Geriatric Mental Health & Memory Care, and associate professor of psychiatry, neurology & medicine, University of Rochester School of Medicine and Dentistry, Rochester, New York, provided tips to attendees of the American Psychiatric Association (APA) 2024 Annual Meeting, and elaborated on these for this news organization.

Cybercrimes targeting seniors are common. A 2023 University of Michigan National Poll on Healthy Aging found 75% of adults aged 50-80 years experienced a fraud attempt either online or by phone, text, email, or mail in the past 2 years.

The poll found about 30% of respondents reported experiencing financial fraud, which could involve compromising credit cards, hacking bank accounts, or identity theft.

Older age is a risk factor for cybercrime. Seniors may have lower cognitive functioning and/or impaired decision-making. In addition, they are often socially isolated, dependent on others, and have poor health and financial literacy.
 

Romance Scams Common

Romance scams are another common financial fraud. Stephanie Garayalde, MD, a geriatric psychiatrist at the University of Florida, Gainesville, Florida, and another presenter at the APA session, used the example of Mr. L, a 74-year-old outpatient under treatment for depression who was unable to pay his rent.

Mr. L was giving money to his “girlfriend” he met online. Their relationship was totally virtual; she always had constant excuses for not meeting in person. He was funneling increasing funds to pay what he believed were medical bills and to bail her out of various other emergencies.

Once the fraud was discovered, Mr. L not only felt the loneliness of a lost romantic connection but also grappled with feelings of embarrassment and guilt.

“I see older patients who have been scammed who feel ashamed that they haven’t left enough money for their families,” said Dr. Santos.

Another well-known scam targets grandparents. Fraudsters sometimes use an artificial intelligence–generated voice mimicking a young family member and pretend to need money right away for bail or another problem.

In such situations, Dr. Santos advises patients to “hang up and call your family” to verify the call “no matter what the person says or who they sound like.”

Scammers may impersonate government officials to try to get social insurance information. Dr. Santos stresses the importance of never giving out this information. “If someone says they’re from your bank or a government agency like the IRS, hang up and call the bank or agency yourself.”

Evidence suggests this and other cybercrimes are on the rise. The Federal Bureau of Investigation’s Internet Crime Complaint Center received 888,000 complaints in 2023, a 10% increase from 2022, and losses of about $12.5 billion, which is a 22% increase over 2022.

It’s not that uncommon for the same older person to be scammed by numerous people and fall for it again and again, said Dr. Santos.

To mitigate the risk to this vulnerable group, researchers at the University of Central Florida, Orlando, Florida, are developing a scam screener for the elderly that will provide tools to help doctors screen older adults. The screen will focus on identifying factors that make victims most vulnerable, including seniors’ ability to think critically, a necessary skill for guarding against cybercrime.
 

Red Flags

In the meantime, Dr. Santos identified red flags for clinicians. Patients may show deviations in their typical behaviors; for example, they may seem sadder, more subdued, or more withdrawn than usual.

As loneliness and isolation can be a signal of victimization, “ask patients about their connectedness and be suspicious if the connectedness is all virtual,” she said.

Learning about the quality of their relationships is also important. “Instead of asking the superficial question of ‘Do you have friends’, ask ‘How do you talk to your friends? Are you actually getting out and meeting them?’”

If patients report they have never actually seen these so-called friends in-person, it should raise a red flag.

Another clue something may be amiss is “needing to be on their device or be home to get a call at a certain time.” Dr. Santos recalled a patient whose cell phone rang constantly during an evaluation, even after she had changed her phone number several times. “The scammers kept tracking her down,” she said.

Patients who are victims of cybercrime may stop taking their medications, fail to follow up on ordered tests, or miss paying for medical services.

Dr. Santos recommended screening for conditions known to be linked to cybercrime victimization such as depression. One of her patients was attending her memory clinic, but their cognitive issues were due to depression, not dementia.

It is important to identify subtle cognitive impairments. Dr. Santos recommended using the Saint Louis University Mental Status Examination, which she says is easier to use than the Montreal Cognitive Assessment.
 

Avoid Shaming

When managing patients who are potential cybercrime victims, she also suggests doctors be careful about their tone and their attitude. “Don’t shame someone for becoming a victim because it happens to everyone.”

When patients show signs of victimization, physicians could consider asking about their Internet use, social media practices, and general safety surrounding their finances.

They should emphasize the importance of protecting accounts through strong passwords, multifactor authentication when possible, and avoidance of sharing personal information with anyone who calls, emails, or texts.

Clinicians might also consider asking patients to review bills for new or unusual charges, check their bank account statements for withdrawals they didn’t make, and review credit reports for accounts in their name they don’t recognize.

Clinicians should also encourage patients to have a healthcare proxy, power of attorney, and advanced directives and recommend resources that can help victims. These include:

Federal Trade Commission (to report identity theft): https://reportfraud.ftc.gov;  https://www.identitytheft.gov

Federal Bureau of Investigation – Internet Crime and Complaint Center https://www.ic3.gov

National Elder Fraud Hotline (1-833-372-8311) or 1-833-FRAUD-11

http://ovc.ojp.gov/program/stop-elder-fraud/providing-help-restoring-hope

A version of this article appeared on Medscape.com.

Seniors are increasingly targeted in ever-sophisticated online financial cybercrimes, but mental health clinicians can play a key role in protecting their patients.

Elizabeth J. Santos, MD, clinical chief, Division of Geriatric Mental Health & Memory Care, and associate professor of psychiatry, neurology & medicine, University of Rochester School of Medicine and Dentistry, Rochester, New York, provided tips to attendees of the American Psychiatric Association (APA) 2024 Annual Meeting, and elaborated on these for this news organization.

Cybercrimes targeting seniors are common. A 2023 University of Michigan National Poll on Healthy Aging found 75% of adults aged 50-80 years experienced a fraud attempt either online or by phone, text, email, or mail in the past 2 years.

The poll found about 30% of respondents reported experiencing financial fraud, which could involve compromising credit cards, hacking bank accounts, or identity theft.

Older age is a risk factor for cybercrime. Seniors may have lower cognitive functioning and/or impaired decision-making. In addition, they are often socially isolated, dependent on others, and have poor health and financial literacy.
 

Romance Scams Common

Romance scams are another common financial fraud. Stephanie Garayalde, MD, a geriatric psychiatrist at the University of Florida, Gainesville, Florida, and another presenter at the APA session, used the example of Mr. L, a 74-year-old outpatient under treatment for depression who was unable to pay his rent.

Mr. L was giving money to his “girlfriend” he met online. Their relationship was totally virtual; she always had constant excuses for not meeting in person. He was funneling increasing funds to pay what he believed were medical bills and to bail her out of various other emergencies.

Once the fraud was discovered, Mr. L not only felt the loneliness of a lost romantic connection but also grappled with feelings of embarrassment and guilt.

“I see older patients who have been scammed who feel ashamed that they haven’t left enough money for their families,” said Dr. Santos.

Another well-known scam targets grandparents. Fraudsters sometimes use an artificial intelligence–generated voice mimicking a young family member and pretend to need money right away for bail or another problem.

In such situations, Dr. Santos advises patients to “hang up and call your family” to verify the call “no matter what the person says or who they sound like.”

Scammers may impersonate government officials to try to get social insurance information. Dr. Santos stresses the importance of never giving out this information. “If someone says they’re from your bank or a government agency like the IRS, hang up and call the bank or agency yourself.”

Evidence suggests this and other cybercrimes are on the rise. The Federal Bureau of Investigation’s Internet Crime Complaint Center received 888,000 complaints in 2023, a 10% increase from 2022, and losses of about $12.5 billion, which is a 22% increase over 2022.

It’s not that uncommon for the same older person to be scammed by numerous people and fall for it again and again, said Dr. Santos.

To mitigate the risk to this vulnerable group, researchers at the University of Central Florida, Orlando, Florida, are developing a scam screener for the elderly that will provide tools to help doctors screen older adults. The screen will focus on identifying factors that make victims most vulnerable, including seniors’ ability to think critically, a necessary skill for guarding against cybercrime.
 

Red Flags

In the meantime, Dr. Santos identified red flags for clinicians. Patients may show deviations in their typical behaviors; for example, they may seem sadder, more subdued, or more withdrawn than usual.

As loneliness and isolation can be a signal of victimization, “ask patients about their connectedness and be suspicious if the connectedness is all virtual,” she said.

Learning about the quality of their relationships is also important. “Instead of asking the superficial question of ‘Do you have friends’, ask ‘How do you talk to your friends? Are you actually getting out and meeting them?’”

If patients report they have never actually seen these so-called friends in-person, it should raise a red flag.

Another clue something may be amiss is “needing to be on their device or be home to get a call at a certain time.” Dr. Santos recalled a patient whose cell phone rang constantly during an evaluation, even after she had changed her phone number several times. “The scammers kept tracking her down,” she said.

Patients who are victims of cybercrime may stop taking their medications, fail to follow up on ordered tests, or miss paying for medical services.

Dr. Santos recommended screening for conditions known to be linked to cybercrime victimization such as depression. One of her patients was attending her memory clinic, but their cognitive issues were due to depression, not dementia.

It is important to identify subtle cognitive impairments. Dr. Santos recommended using the Saint Louis University Mental Status Examination, which she says is easier to use than the Montreal Cognitive Assessment.
 

Avoid Shaming

When managing patients who are potential cybercrime victims, she also suggests doctors be careful about their tone and their attitude. “Don’t shame someone for becoming a victim because it happens to everyone.”

When patients show signs of victimization, physicians could consider asking about their Internet use, social media practices, and general safety surrounding their finances.

They should emphasize the importance of protecting accounts through strong passwords, multifactor authentication when possible, and avoidance of sharing personal information with anyone who calls, emails, or texts.

Clinicians might also consider asking patients to review bills for new or unusual charges, check their bank account statements for withdrawals they didn’t make, and review credit reports for accounts in their name they don’t recognize.

Clinicians should also encourage patients to have a healthcare proxy, power of attorney, and advanced directives and recommend resources that can help victims. These include:

Federal Trade Commission (to report identity theft): https://reportfraud.ftc.gov;  https://www.identitytheft.gov

Federal Bureau of Investigation – Internet Crime and Complaint Center https://www.ic3.gov

National Elder Fraud Hotline (1-833-372-8311) or 1-833-FRAUD-11

http://ovc.ojp.gov/program/stop-elder-fraud/providing-help-restoring-hope

A version of this article appeared on Medscape.com.

NEW YORK — Psychiatric comorbidities are highly prevalent in patients with eating disorders (EDs), a large study showed.

In a propensity-matched cohort of young adults with and without EDs, a wide variety of psychiatric disorders including depression and anxiety, as well as cannabis and alcohol use disorders, were more common in those with EDs, investigators found.

Comorbid psychiatric disorders should be “top of mind when working with someone with an eating disorder. If you are able to treat the comorbid psychiatric conditions, they might have a better recovery from the eating disorder,” study investigator Angela Liu, MD, with Northwell Health at Zucker Hillside Hospital, Glen Oaks, New York, told this news organization.

The findings were presented at the annual meeting of the American Psychiatric Association.
 

Data Gap

As previously reported by this news organization, more than one in five children worldwide are at risk for an ED and US medical admissions for adolescents with restrictive EDs more than doubled during the pandemic.

Yet there remains a “gap in the literature” about the prevalence of comorbid psychiatric conditions in people with EDs, specifically in young people, Dr. Liu explained.

“To our knowledge, this is the first study using a real-world, multistate administrative dataset to estimate the prevalence of psychiatric comorbidities in young people diagnosed with an eating disorder,” Dr. Liu said.

Using the TriNetX database, the researchers identified through ICD-10 codes 14,524 individuals with EDs (mean age, 15.9 years; 79% women) and 110,051 without EDs who were receiving antidepressants (mean age, 17.8 years; 65% women).

“There was a much higher prevalence of almost all other psychiatric conditions in those with an eating disorder compared to the general psychiatry population,” coinvestigator Binx Y. Lin, MD, MSc, with Virginia Tech Carilion School of Medicine in Roanoke, Virginia, told this news organization.

In the baseline comparison (before matching), psychiatric disorders seen more often in adults with than in those without EDs included (but were not limited to) mood disorders (51% vs 23%), generalized anxiety disorder (GAD; 30% vs 8%), posttraumatic stress disorder (PTSD; 10% vs 2%), obsessive-compulsive disorder (OCD; 8% vs 1%), panic disorder (6% vs 2%), substance use disorder (8% vs 5%), and adjustment disorders (5% vs 2%).

The results held after propensity score matching, with numerous psychiatric conditions significantly (P < .001) more prevalent in the ED cohort.

Understanding the burden of comorbid psychiatric disorders in young people with EDs is important to design comprehensive, evidence-based interventions, the researchers said.

Providing perspective on this topic, Petros Levounis, MD, professor and chair, Department of Psychiatry, Rutgers New Jersey Medical School, Newark, New Jersey, noted that “comorbidity between substance use disorders and other psychiatric disorders has both been grossly underestimated and grossly overestimated.

“I go around the country and see rehab programs, and there are people that very strongly believe that if you stop using the drugs, you won’t have problems with depression or anxiety or whatever,” Dr. Levounis, immediate past president of the APA, shared with this news organization.

“Others say they have never seen somebody who’s addicted to something that doesn’t also have some other psychiatric disorders and if you just scratch the surface, you always find some other psychological or psychiatric problem lying behind. Neither of them are true,” he cautioned.

Dr. Levounis said it’s important to recognize that “some people with addiction will also have another psychiatric disorder. But clearly there are people who just have a mental illness without addiction, and there are clearly people who will just have addiction without other mental illness.”

This research had no commercial funding and was supported in part by the American Psychiatric Association Research Fellowship. Dr. Liu, Dr. Lin, and Dr. Levounis had no relevant disclosures.

A version of this article appeared on Medscape.com .

NEW YORK — Psychiatric comorbidities are highly prevalent in patients with eating disorders (EDs), a large study showed.

In a propensity-matched cohort of young adults with and without EDs, a wide variety of psychiatric disorders including depression and anxiety, as well as cannabis and alcohol use disorders, were more common in those with EDs, investigators found.

Comorbid psychiatric disorders should be “top of mind when working with someone with an eating disorder. If you are able to treat the comorbid psychiatric conditions, they might have a better recovery from the eating disorder,” study investigator Angela Liu, MD, with Northwell Health at Zucker Hillside Hospital, Glen Oaks, New York, told this news organization.

The findings were presented at the annual meeting of the American Psychiatric Association.
 

Data Gap

As previously reported by this news organization, more than one in five children worldwide are at risk for an ED and US medical admissions for adolescents with restrictive EDs more than doubled during the pandemic.

Yet there remains a “gap in the literature” about the prevalence of comorbid psychiatric conditions in people with EDs, specifically in young people, Dr. Liu explained.

“To our knowledge, this is the first study using a real-world, multistate administrative dataset to estimate the prevalence of psychiatric comorbidities in young people diagnosed with an eating disorder,” Dr. Liu said.

Using the TriNetX database, the researchers identified through ICD-10 codes 14,524 individuals with EDs (mean age, 15.9 years; 79% women) and 110,051 without EDs who were receiving antidepressants (mean age, 17.8 years; 65% women).

“There was a much higher prevalence of almost all other psychiatric conditions in those with an eating disorder compared to the general psychiatry population,” coinvestigator Binx Y. Lin, MD, MSc, with Virginia Tech Carilion School of Medicine in Roanoke, Virginia, told this news organization.

In the baseline comparison (before matching), psychiatric disorders seen more often in adults with than in those without EDs included (but were not limited to) mood disorders (51% vs 23%), generalized anxiety disorder (GAD; 30% vs 8%), posttraumatic stress disorder (PTSD; 10% vs 2%), obsessive-compulsive disorder (OCD; 8% vs 1%), panic disorder (6% vs 2%), substance use disorder (8% vs 5%), and adjustment disorders (5% vs 2%).

The results held after propensity score matching, with numerous psychiatric conditions significantly (P < .001) more prevalent in the ED cohort.

Understanding the burden of comorbid psychiatric disorders in young people with EDs is important to design comprehensive, evidence-based interventions, the researchers said.

Providing perspective on this topic, Petros Levounis, MD, professor and chair, Department of Psychiatry, Rutgers New Jersey Medical School, Newark, New Jersey, noted that “comorbidity between substance use disorders and other psychiatric disorders has both been grossly underestimated and grossly overestimated.

“I go around the country and see rehab programs, and there are people that very strongly believe that if you stop using the drugs, you won’t have problems with depression or anxiety or whatever,” Dr. Levounis, immediate past president of the APA, shared with this news organization.

“Others say they have never seen somebody who’s addicted to something that doesn’t also have some other psychiatric disorders and if you just scratch the surface, you always find some other psychological or psychiatric problem lying behind. Neither of them are true,” he cautioned.

Dr. Levounis said it’s important to recognize that “some people with addiction will also have another psychiatric disorder. But clearly there are people who just have a mental illness without addiction, and there are clearly people who will just have addiction without other mental illness.”

This research had no commercial funding and was supported in part by the American Psychiatric Association Research Fellowship. Dr. Liu, Dr. Lin, and Dr. Levounis had no relevant disclosures.

A version of this article appeared on Medscape.com .

NEW YORK — Psychiatric comorbidities are highly prevalent in patients with eating disorders (EDs), a large study showed.

In a propensity-matched cohort of young adults with and without EDs, a wide variety of psychiatric disorders including depression and anxiety, as well as cannabis and alcohol use disorders, were more common in those with EDs, investigators found.

Comorbid psychiatric disorders should be “top of mind when working with someone with an eating disorder. If you are able to treat the comorbid psychiatric conditions, they might have a better recovery from the eating disorder,” study investigator Angela Liu, MD, with Northwell Health at Zucker Hillside Hospital, Glen Oaks, New York, told this news organization.

The findings were presented at the annual meeting of the American Psychiatric Association.
 

Data Gap

As previously reported by this news organization, more than one in five children worldwide are at risk for an ED and US medical admissions for adolescents with restrictive EDs more than doubled during the pandemic.

Yet there remains a “gap in the literature” about the prevalence of comorbid psychiatric conditions in people with EDs, specifically in young people, Dr. Liu explained.

“To our knowledge, this is the first study using a real-world, multistate administrative dataset to estimate the prevalence of psychiatric comorbidities in young people diagnosed with an eating disorder,” Dr. Liu said.

Using the TriNetX database, the researchers identified through ICD-10 codes 14,524 individuals with EDs (mean age, 15.9 years; 79% women) and 110,051 without EDs who were receiving antidepressants (mean age, 17.8 years; 65% women).

“There was a much higher prevalence of almost all other psychiatric conditions in those with an eating disorder compared to the general psychiatry population,” coinvestigator Binx Y. Lin, MD, MSc, with Virginia Tech Carilion School of Medicine in Roanoke, Virginia, told this news organization.

In the baseline comparison (before matching), psychiatric disorders seen more often in adults with than in those without EDs included (but were not limited to) mood disorders (51% vs 23%), generalized anxiety disorder (GAD; 30% vs 8%), posttraumatic stress disorder (PTSD; 10% vs 2%), obsessive-compulsive disorder (OCD; 8% vs 1%), panic disorder (6% vs 2%), substance use disorder (8% vs 5%), and adjustment disorders (5% vs 2%).

The results held after propensity score matching, with numerous psychiatric conditions significantly (P < .001) more prevalent in the ED cohort.

Understanding the burden of comorbid psychiatric disorders in young people with EDs is important to design comprehensive, evidence-based interventions, the researchers said.

Providing perspective on this topic, Petros Levounis, MD, professor and chair, Department of Psychiatry, Rutgers New Jersey Medical School, Newark, New Jersey, noted that “comorbidity between substance use disorders and other psychiatric disorders has both been grossly underestimated and grossly overestimated.

“I go around the country and see rehab programs, and there are people that very strongly believe that if you stop using the drugs, you won’t have problems with depression or anxiety or whatever,” Dr. Levounis, immediate past president of the APA, shared with this news organization.

“Others say they have never seen somebody who’s addicted to something that doesn’t also have some other psychiatric disorders and if you just scratch the surface, you always find some other psychological or psychiatric problem lying behind. Neither of them are true,” he cautioned.

Dr. Levounis said it’s important to recognize that “some people with addiction will also have another psychiatric disorder. But clearly there are people who just have a mental illness without addiction, and there are clearly people who will just have addiction without other mental illness.”

This research had no commercial funding and was supported in part by the American Psychiatric Association Research Fellowship. Dr. Liu, Dr. Lin, and Dr. Levounis had no relevant disclosures.

A version of this article appeared on Medscape.com .

No matter where one looks for the statistics, no matter what words one chooses to describe it, this country has a child and adolescent mental health crisis. Almost 20% of young people in the 3-17 age bracket have a mental, emotional, developmental, or behavioral disorder. COVID-19 has certainly exacerbated the problem, but the downward trend in the mental health of this nation has been going on for decades.

The voices calling for more services to address the problem are getting more numerous and louder. But, what exactly should those services look like and who should be delivering them?

Wilkoff_William_G_2_web.jpg

Dr. Wilkoff practiced primary care pediatrics in Brunswick, Maine, for nearly 40 years. He has authored several books on behavioral pediatrics, including “How to Say No to Your Toddler.” Other than a Littman stethoscope he accepted as a first-year medical student in 1966, Dr. Wilkoff reports having nothing to disclose. Email him at pdnews@mdedge.com.

No matter where one looks for the statistics, no matter what words one chooses to describe it, this country has a child and adolescent mental health crisis. Almost 20% of young people in the 3-17 age bracket have a mental, emotional, developmental, or behavioral disorder. COVID-19 has certainly exacerbated the problem, but the downward trend in the mental health of this nation has been going on for decades.

The voices calling for more services to address the problem are getting more numerous and louder. But, what exactly should those services look like and who should be delivering them?

Wilkoff_William_G_2_web.jpg

Dr. Wilkoff practiced primary care pediatrics in Brunswick, Maine, for nearly 40 years. He has authored several books on behavioral pediatrics, including “How to Say No to Your Toddler.” Other than a Littman stethoscope he accepted as a first-year medical student in 1966, Dr. Wilkoff reports having nothing to disclose. Email him at pdnews@mdedge.com.

No matter where one looks for the statistics, no matter what words one chooses to describe it, this country has a child and adolescent mental health crisis. Almost 20% of young people in the 3-17 age bracket have a mental, emotional, developmental, or behavioral disorder. COVID-19 has certainly exacerbated the problem, but the downward trend in the mental health of this nation has been going on for decades.

The voices calling for more services to address the problem are getting more numerous and louder. But, what exactly should those services look like and who should be delivering them?

Wilkoff_William_G_2_web.jpg

Dr. Wilkoff practiced primary care pediatrics in Brunswick, Maine, for nearly 40 years. He has authored several books on behavioral pediatrics, including “How to Say No to Your Toddler.” Other than a Littman stethoscope he accepted as a first-year medical student in 1966, Dr. Wilkoff reports having nothing to disclose. Email him at pdnews@mdedge.com.

Serious mental illness (SMI), including bipolar disorder or schizophrenia spectrum disorders, is associated with a twofold increased risk for comorbid physical illness, results of a new meta-analysis showed.

“Although treatment of physical and mental health remains siloed in many health services globally, the high prevalence of physical multimorbidity attests to the urgent need for integrated care models that address both physical and mental health outcomes in people with severe mental illness,” the authors, led by Sean Halstead, MD, of The University of Queensland Medical School in Brisbane, Australia, wrote.

The findings were published online in The Lancet Psychiatry.
 

Shorter Lifespan?

SMI is associated with reduced life expectancy, and experts speculate that additional chronic illnesses — whether physical or psychiatric — may underlie this association.

While previous research has paired SMI with comorbid physical illnesses, the researchers noted that this study is the first to focus on both physical and psychiatric multimorbidity in individuals with SMI.

The investigators conducted a meta-analysis of 82 observational studies comprising 1.6 million individuals with SMI and 13.2 million control subjects to determine the risk for physical or psychiatric multimorbidity.

Studies were included if participants were diagnosed with either a schizophrenia spectrum disorder or bipolar disorder, and the study assessed either physical multimorbidity (at least two physical health conditions) or psychiatric multimorbidity (at least three psychiatric conditions), including the initial SMI.

Investigators found that individuals with SMI had more than a twofold increased risk for physical multimorbidity than those without SMI (odds ratio [OR], 2.40; 95% CI, 1.57-3.65; P = .0009).

Physical multimorbidity, which included cardiovascular, endocrine, neurological rental, gastrointestinal, musculoskeletal, and infectious disorders, was prevalent at similar rates in both schizophrenia spectrum disorder and bipolar disorder.

The ratio of physical multimorbidity was about four times higher in younger populations with SMI (mean age ≤ 40; OR, 3.99; 95% CI, 1.43-11.10) than in older populations (mean age > 40; OR, 1.55; 95% CI, 0.96-2.51; subgroup differences, P = .0013).

In terms of absolute prevalence, 25% of those with SMI had a physical multimorbidity, and 14% had a psychiatric multimorbidity, which were primarily anxiety and substance use disorders.

Investigators speculated that physical multimorbidity in SMI could stem from side effects of psychotropic medications, which are known to cause rapid cardiometabolic changes, including weight gain. In addition, lifestyle factors or nonmodifiable risk factors could also contribute to physical multimorbidity.

The study’s limitations included its small sample sizes for subgroup analyses and insufficient analysis for significant covariates, including smoking rates and symptom severity.

“While health services and treatment guidelines often operate on the assumption that individuals have a single principal diagnosis, these results attest to the clinical complexity many people with severe mental illness face in relation to burden of chronic disease,” the investigators wrote. They added that a greater understanding of the epidemiological manifestations of multimorbidity in SMI is “imperative.”

There was no source of funding for this study. Dr. Halstead is supported by the Australian Research Training Program scholarship. Other disclosures were noted in the original article.

A version of this article appeared on Medscape.com .

Serious mental illness (SMI), including bipolar disorder or schizophrenia spectrum disorders, is associated with a twofold increased risk for comorbid physical illness, results of a new meta-analysis showed.

“Although treatment of physical and mental health remains siloed in many health services globally, the high prevalence of physical multimorbidity attests to the urgent need for integrated care models that address both physical and mental health outcomes in people with severe mental illness,” the authors, led by Sean Halstead, MD, of The University of Queensland Medical School in Brisbane, Australia, wrote.

The findings were published online in The Lancet Psychiatry.
 

Shorter Lifespan?

SMI is associated with reduced life expectancy, and experts speculate that additional chronic illnesses — whether physical or psychiatric — may underlie this association.

While previous research has paired SMI with comorbid physical illnesses, the researchers noted that this study is the first to focus on both physical and psychiatric multimorbidity in individuals with SMI.

The investigators conducted a meta-analysis of 82 observational studies comprising 1.6 million individuals with SMI and 13.2 million control subjects to determine the risk for physical or psychiatric multimorbidity.

Studies were included if participants were diagnosed with either a schizophrenia spectrum disorder or bipolar disorder, and the study assessed either physical multimorbidity (at least two physical health conditions) or psychiatric multimorbidity (at least three psychiatric conditions), including the initial SMI.

Investigators found that individuals with SMI had more than a twofold increased risk for physical multimorbidity than those without SMI (odds ratio [OR], 2.40; 95% CI, 1.57-3.65; P = .0009).

Physical multimorbidity, which included cardiovascular, endocrine, neurological rental, gastrointestinal, musculoskeletal, and infectious disorders, was prevalent at similar rates in both schizophrenia spectrum disorder and bipolar disorder.

The ratio of physical multimorbidity was about four times higher in younger populations with SMI (mean age ≤ 40; OR, 3.99; 95% CI, 1.43-11.10) than in older populations (mean age > 40; OR, 1.55; 95% CI, 0.96-2.51; subgroup differences, P = .0013).

In terms of absolute prevalence, 25% of those with SMI had a physical multimorbidity, and 14% had a psychiatric multimorbidity, which were primarily anxiety and substance use disorders.

Investigators speculated that physical multimorbidity in SMI could stem from side effects of psychotropic medications, which are known to cause rapid cardiometabolic changes, including weight gain. In addition, lifestyle factors or nonmodifiable risk factors could also contribute to physical multimorbidity.

The study’s limitations included its small sample sizes for subgroup analyses and insufficient analysis for significant covariates, including smoking rates and symptom severity.

“While health services and treatment guidelines often operate on the assumption that individuals have a single principal diagnosis, these results attest to the clinical complexity many people with severe mental illness face in relation to burden of chronic disease,” the investigators wrote. They added that a greater understanding of the epidemiological manifestations of multimorbidity in SMI is “imperative.”

There was no source of funding for this study. Dr. Halstead is supported by the Australian Research Training Program scholarship. Other disclosures were noted in the original article.

A version of this article appeared on Medscape.com .

Serious mental illness (SMI), including bipolar disorder or schizophrenia spectrum disorders, is associated with a twofold increased risk for comorbid physical illness, results of a new meta-analysis showed.

“Although treatment of physical and mental health remains siloed in many health services globally, the high prevalence of physical multimorbidity attests to the urgent need for integrated care models that address both physical and mental health outcomes in people with severe mental illness,” the authors, led by Sean Halstead, MD, of The University of Queensland Medical School in Brisbane, Australia, wrote.

The findings were published online in The Lancet Psychiatry.
 

Shorter Lifespan?

SMI is associated with reduced life expectancy, and experts speculate that additional chronic illnesses — whether physical or psychiatric — may underlie this association.

While previous research has paired SMI with comorbid physical illnesses, the researchers noted that this study is the first to focus on both physical and psychiatric multimorbidity in individuals with SMI.

The investigators conducted a meta-analysis of 82 observational studies comprising 1.6 million individuals with SMI and 13.2 million control subjects to determine the risk for physical or psychiatric multimorbidity.

Studies were included if participants were diagnosed with either a schizophrenia spectrum disorder or bipolar disorder, and the study assessed either physical multimorbidity (at least two physical health conditions) or psychiatric multimorbidity (at least three psychiatric conditions), including the initial SMI.

Investigators found that individuals with SMI had more than a twofold increased risk for physical multimorbidity than those without SMI (odds ratio [OR], 2.40; 95% CI, 1.57-3.65; P = .0009).

Physical multimorbidity, which included cardiovascular, endocrine, neurological rental, gastrointestinal, musculoskeletal, and infectious disorders, was prevalent at similar rates in both schizophrenia spectrum disorder and bipolar disorder.

The ratio of physical multimorbidity was about four times higher in younger populations with SMI (mean age ≤ 40; OR, 3.99; 95% CI, 1.43-11.10) than in older populations (mean age > 40; OR, 1.55; 95% CI, 0.96-2.51; subgroup differences, P = .0013).

In terms of absolute prevalence, 25% of those with SMI had a physical multimorbidity, and 14% had a psychiatric multimorbidity, which were primarily anxiety and substance use disorders.

Investigators speculated that physical multimorbidity in SMI could stem from side effects of psychotropic medications, which are known to cause rapid cardiometabolic changes, including weight gain. In addition, lifestyle factors or nonmodifiable risk factors could also contribute to physical multimorbidity.

The study’s limitations included its small sample sizes for subgroup analyses and insufficient analysis for significant covariates, including smoking rates and symptom severity.

“While health services and treatment guidelines often operate on the assumption that individuals have a single principal diagnosis, these results attest to the clinical complexity many people with severe mental illness face in relation to burden of chronic disease,” the investigators wrote. They added that a greater understanding of the epidemiological manifestations of multimorbidity in SMI is “imperative.”

There was no source of funding for this study. Dr. Halstead is supported by the Australian Research Training Program scholarship. Other disclosures were noted in the original article.

A version of this article appeared on Medscape.com .

Warning letters to primary care physicians (PCPs) regarding overprescription of quetiapine were helpful in reducing overprescribing of this agent, new research suggested.

Investigators analyzed data from an earlier trial that compared prescribing patterns in 5055 PCPs who receive a placebo letter or three warning letters informing them that their prescribing of quetiapine was high and under review by Medicare. Patients in question all had dementia and were either living in nursing homes or in the community.

The intervention reduced quetiapine use among all patients with dementia, with no detectable adverse effects on cognitive function, behavioral symptoms, depression, metabolic diagnoses, hospitalization, or death.

“This study found that overprescribing warning letters to PCPs safely reduced quetiapine prescribing to their patients with dementia,” wrote investigators led by Adam Sacarny, PhD, of the Department of Health Policy and Management, Mailman School of Public Health, Columbia University, New York. 

“This intervention and other[s] like it may be useful for future efforts to promote guideline-concordant care,” they added.

The study was published online in JAMA Network Open.
 

Off-Label Prescribing Common

The off-label use of antipsychotics in patients with dementia is fairly common, the investigators noted, affecting roughly one in seven nursing home residents and a similar number of community-dwelling older adults with dementia.

The agents are often prescribed to treat behavioral symptoms associated with dementia, including agitation and aggression. Although some evidence supports this use, antipsychotics in dementia patients can also cause an increased risk for weight gain, cognitive decline, falls and other injuries, cerebrovascular events, and mortality.

While some professional societies have called for “judicious use of antipsychotics in dementia care,” there is little evidence that reducing antipsychotic use in people with dementia might result in a benefit, investigators wrote.

The researchers analyzed data from a previous trial that focused on quetiapine, which is the most prescribed antipsychotic in the United States and is frequently used for patients with dementia.

In the original study, 2528 PCPs received a placebo letter and 2527 received three warning letters sent by the Centers for Medicare & Medicaid Services (CMS), which identified the highest-volume PCP prescribers of quetiapine.

The warning letters stated that the recipient’s quetiapine prescribing was high relative to their peers and was under review by Medicare. The placebo letter clarified an unrelated regulation. 

The current secondary analysis followed the providers and a cohort of their patients from their first receipt of the letters in 2015 through April 2017. The current evaluation analyzes patients’ outcomes through December 2018, utilizing Medicare fee-for-service claims, Minimum Data Set nursing home assessment, and Medicare enrollment data.
 

Low-Cost, Effective Intervention

While the original study focused on total quetiapine prescribing by study PCPs, the current analysis focused on patients’ total quetiapine use per 90-day period. Additional secondary outcomes included measures of cognitive function and behavioral symptoms, indicators of depression, metabolic diagnoses, indicators of use of hospital and healthcare services, and death.

PCPs in the study had a total of 84,881 patients with dementia living in nursing homes and 261,288 living in the community. At baseline, there were 92,874 patients (mean age, 82 years; 69% female).

The warning letters were associated with reduced quetiapine use among both nursing home patients and community-dwelling patients (adjusted difference, –0.7 days; P = .02 and adjusted difference, −1.5 days; P < .001, respectively).

Among nursing home patients, there were no statistically significant adverse changes in cognitive of behavioral health measures that coincided with reduction in quetiapine use.

Although a higher percentage of treatment vs control patients reported weight loss, the difference was not significant, and rates of metabolic diagnoses were similar in both groups. There were also no significant differences between the groups in emergency department use, inpatient hospital admission, or use of restraints.

Results were similar for patients living in the community.

Additionally, no adverse effects on more severe health endpoints, including rates of hospital use or entry to nursing facilities, were detected. Importantly, the risk for death was statistically significantly lower for patients whose PCPs had received warning letters vs control patients (P = .04).

The analysis “provides evidence that a low-cost letter intervention informed by behavioral science can reduce prescribing of quetiapine to patients with dementia in nursing home and community settings,” the authors wrote.

Researchers did not directly observe the administration of the medication but instead used prescription drug fills as a proxy. Moreover, they could not observe results for patients enrolled in Medicare Advantage, and claims-based and assessment-based outcomes might have been subject to measurement errors and under-ascertainment of diagnoses.

The authors received support from the National Institute on Aging. They reported no relevant financial relationships.

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

Warning letters to primary care physicians (PCPs) regarding overprescription of quetiapine were helpful in reducing overprescribing of this agent, new research suggested.

Investigators analyzed data from an earlier trial that compared prescribing patterns in 5055 PCPs who receive a placebo letter or three warning letters informing them that their prescribing of quetiapine was high and under review by Medicare. Patients in question all had dementia and were either living in nursing homes or in the community.

The intervention reduced quetiapine use among all patients with dementia, with no detectable adverse effects on cognitive function, behavioral symptoms, depression, metabolic diagnoses, hospitalization, or death.

“This study found that overprescribing warning letters to PCPs safely reduced quetiapine prescribing to their patients with dementia,” wrote investigators led by Adam Sacarny, PhD, of the Department of Health Policy and Management, Mailman School of Public Health, Columbia University, New York. 

“This intervention and other[s] like it may be useful for future efforts to promote guideline-concordant care,” they added.

The study was published online in JAMA Network Open.
 

Off-Label Prescribing Common

The off-label use of antipsychotics in patients with dementia is fairly common, the investigators noted, affecting roughly one in seven nursing home residents and a similar number of community-dwelling older adults with dementia.

The agents are often prescribed to treat behavioral symptoms associated with dementia, including agitation and aggression. Although some evidence supports this use, antipsychotics in dementia patients can also cause an increased risk for weight gain, cognitive decline, falls and other injuries, cerebrovascular events, and mortality.

While some professional societies have called for “judicious use of antipsychotics in dementia care,” there is little evidence that reducing antipsychotic use in people with dementia might result in a benefit, investigators wrote.

The researchers analyzed data from a previous trial that focused on quetiapine, which is the most prescribed antipsychotic in the United States and is frequently used for patients with dementia.

In the original study, 2528 PCPs received a placebo letter and 2527 received three warning letters sent by the Centers for Medicare & Medicaid Services (CMS), which identified the highest-volume PCP prescribers of quetiapine.

The warning letters stated that the recipient’s quetiapine prescribing was high relative to their peers and was under review by Medicare. The placebo letter clarified an unrelated regulation. 

The current secondary analysis followed the providers and a cohort of their patients from their first receipt of the letters in 2015 through April 2017. The current evaluation analyzes patients’ outcomes through December 2018, utilizing Medicare fee-for-service claims, Minimum Data Set nursing home assessment, and Medicare enrollment data.
 

Low-Cost, Effective Intervention

While the original study focused on total quetiapine prescribing by study PCPs, the current analysis focused on patients’ total quetiapine use per 90-day period. Additional secondary outcomes included measures of cognitive function and behavioral symptoms, indicators of depression, metabolic diagnoses, indicators of use of hospital and healthcare services, and death.

PCPs in the study had a total of 84,881 patients with dementia living in nursing homes and 261,288 living in the community. At baseline, there were 92,874 patients (mean age, 82 years; 69% female).

The warning letters were associated with reduced quetiapine use among both nursing home patients and community-dwelling patients (adjusted difference, –0.7 days; P = .02 and adjusted difference, −1.5 days; P < .001, respectively).

Among nursing home patients, there were no statistically significant adverse changes in cognitive of behavioral health measures that coincided with reduction in quetiapine use.

Although a higher percentage of treatment vs control patients reported weight loss, the difference was not significant, and rates of metabolic diagnoses were similar in both groups. There were also no significant differences between the groups in emergency department use, inpatient hospital admission, or use of restraints.

Results were similar for patients living in the community.

Additionally, no adverse effects on more severe health endpoints, including rates of hospital use or entry to nursing facilities, were detected. Importantly, the risk for death was statistically significantly lower for patients whose PCPs had received warning letters vs control patients (P = .04).

The analysis “provides evidence that a low-cost letter intervention informed by behavioral science can reduce prescribing of quetiapine to patients with dementia in nursing home and community settings,” the authors wrote.

Researchers did not directly observe the administration of the medication but instead used prescription drug fills as a proxy. Moreover, they could not observe results for patients enrolled in Medicare Advantage, and claims-based and assessment-based outcomes might have been subject to measurement errors and under-ascertainment of diagnoses.

The authors received support from the National Institute on Aging. They reported no relevant financial relationships.

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

Warning letters to primary care physicians (PCPs) regarding overprescription of quetiapine were helpful in reducing overprescribing of this agent, new research suggested.

Investigators analyzed data from an earlier trial that compared prescribing patterns in 5055 PCPs who receive a placebo letter or three warning letters informing them that their prescribing of quetiapine was high and under review by Medicare. Patients in question all had dementia and were either living in nursing homes or in the community.

The intervention reduced quetiapine use among all patients with dementia, with no detectable adverse effects on cognitive function, behavioral symptoms, depression, metabolic diagnoses, hospitalization, or death.

“This study found that overprescribing warning letters to PCPs safely reduced quetiapine prescribing to their patients with dementia,” wrote investigators led by Adam Sacarny, PhD, of the Department of Health Policy and Management, Mailman School of Public Health, Columbia University, New York. 

“This intervention and other[s] like it may be useful for future efforts to promote guideline-concordant care,” they added.

The study was published online in JAMA Network Open.
 

Off-Label Prescribing Common

The off-label use of antipsychotics in patients with dementia is fairly common, the investigators noted, affecting roughly one in seven nursing home residents and a similar number of community-dwelling older adults with dementia.

The agents are often prescribed to treat behavioral symptoms associated with dementia, including agitation and aggression. Although some evidence supports this use, antipsychotics in dementia patients can also cause an increased risk for weight gain, cognitive decline, falls and other injuries, cerebrovascular events, and mortality.

While some professional societies have called for “judicious use of antipsychotics in dementia care,” there is little evidence that reducing antipsychotic use in people with dementia might result in a benefit, investigators wrote.

The researchers analyzed data from a previous trial that focused on quetiapine, which is the most prescribed antipsychotic in the United States and is frequently used for patients with dementia.

In the original study, 2528 PCPs received a placebo letter and 2527 received three warning letters sent by the Centers for Medicare & Medicaid Services (CMS), which identified the highest-volume PCP prescribers of quetiapine.

The warning letters stated that the recipient’s quetiapine prescribing was high relative to their peers and was under review by Medicare. The placebo letter clarified an unrelated regulation. 

The current secondary analysis followed the providers and a cohort of their patients from their first receipt of the letters in 2015 through April 2017. The current evaluation analyzes patients’ outcomes through December 2018, utilizing Medicare fee-for-service claims, Minimum Data Set nursing home assessment, and Medicare enrollment data.
 

Low-Cost, Effective Intervention

While the original study focused on total quetiapine prescribing by study PCPs, the current analysis focused on patients’ total quetiapine use per 90-day period. Additional secondary outcomes included measures of cognitive function and behavioral symptoms, indicators of depression, metabolic diagnoses, indicators of use of hospital and healthcare services, and death.

PCPs in the study had a total of 84,881 patients with dementia living in nursing homes and 261,288 living in the community. At baseline, there were 92,874 patients (mean age, 82 years; 69% female).

The warning letters were associated with reduced quetiapine use among both nursing home patients and community-dwelling patients (adjusted difference, –0.7 days; P = .02 and adjusted difference, −1.5 days; P < .001, respectively).

Among nursing home patients, there were no statistically significant adverse changes in cognitive of behavioral health measures that coincided with reduction in quetiapine use.

Although a higher percentage of treatment vs control patients reported weight loss, the difference was not significant, and rates of metabolic diagnoses were similar in both groups. There were also no significant differences between the groups in emergency department use, inpatient hospital admission, or use of restraints.

Results were similar for patients living in the community.

Additionally, no adverse effects on more severe health endpoints, including rates of hospital use or entry to nursing facilities, were detected. Importantly, the risk for death was statistically significantly lower for patients whose PCPs had received warning letters vs control patients (P = .04).

The analysis “provides evidence that a low-cost letter intervention informed by behavioral science can reduce prescribing of quetiapine to patients with dementia in nursing home and community settings,” the authors wrote.

Researchers did not directly observe the administration of the medication but instead used prescription drug fills as a proxy. Moreover, they could not observe results for patients enrolled in Medicare Advantage, and claims-based and assessment-based outcomes might have been subject to measurement errors and under-ascertainment of diagnoses.

The authors received support from the National Institute on Aging. They reported no relevant financial relationships.

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

Amid the declarations about the current mental health crisis among youth, it has become increasingly common to link rising rates of anxiety and depression among youth to screen time, and more specifically to hours spent on social media. But in truth, this matter is far from settled. The evidence linking mood and anxiety disorders to social media use is inconsistent. And where the evidence is stronger, causality has not been established. Does screen time precipitate an episode of depression or does a preteen at risk for depression, in the midst of a divorce or burdened by learning problems, use screen time excessively as a solution to these problems? There is also substantial variation across age groups, genders, and other factors that suggests that time spent on smartphone apps may not be the primary factor creating risk. Indeed, there is growing uncertainty about whether the climbing rates of anxiety and mood disorders among youth reflect yet to be identified factors increasing the burden of mental illness or the altered screening and tracking landscape in the United States after COVID and the Affordable Care Act. This uncertainty does not mean that we cannot make recommendations about how to guide patients and their families. Smartphones (and watches, glasses, etc) are here to stay. We can help young people and their families to be smart users of their smartphones and social media as we learn more detail about risk and vulnerability.

Start by asking your patients how much time they spend on screens of all sorts and on social media in particular. Find out if there are rules at school or at home limiting screen time or social media. Are there disagreements about screen time? Are patients frustrated with their parents’ use of screens? What are their favorite apps to use? How much time do they think they spend on them? If they don’t know, point out how they can track it on their phone directly. Is it painful to be separated from their phone? Do they have interests or hobbies that are not screen-based? What would they do if the power or Wi-Fi was out for a week? These questions can be the start of an ongoing project for screen time and social media literacy.

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Recognize That Apps Are Designed to Be Addictive

Smartphones are useful tools designed to help people stay connected, manage their bank accounts, keep up with current events, access entertainment, and much more. It is easy to spend more time than one intended on them. The applications developed for smartphones promise, and often deliver, efficiency and ease, including staying connected to friends and families. But social media applications have been developed to make their parent companies profit from ad revenue or selling user data. They are designed to encourage more and more use, and for some may become addictive. Start the literacy course with a clear statement of this fact. Remind teenagers that they are often the target audience for the corporations making money from these apps. They are especially sensitive to the likes and followers that can be the currency of social media. For every minute they spend on the apps, a corporation is profiting. It can be helpful to remind teenagers to bring their healthy skepticism of authority to their use of these corporate products.

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Develop Awareness of Their Time, Energy, and Mood

Time is our most precious commodity, and most teenagers are stressed by not having enough of it. Ask your patients about the variety of things they need to do and want to do each day. Do they have enough time to do the things they want beyond their smartphones? Is the time on their smartphones more or less than they want? How do they feel when they finish with different activities? Energized? Engaged? Exhilarated? Drained? Irritable? Sad? Do they feel connected? Lonely? Loved? Left out? Suggest that they pay attention to how they feel after engaging in all kinds of activities (including homework, sports, hobbies, and time with friends), as these are the types of choices they will make throughout their adult lives. Some tasks are simply required (homework), some are relaxing (leaving us feeling calm and even sleepy), and some are recharging (leaving us feeling focused and energized). If an activity consistently leaves them drained and irritable, sad, and lonely or discouraged and insecure, they need to step back and ask themselves why they are making this choice and if that is the choice they want to make. Support their developing self-awareness, activating their sense of agency and independence in making choices that will serve them.

Develop Awareness of Their Sense of Connection to Others

As your patients are paying attention to their mood, focus, interest, and energy, they can also pay attention to these components of their social life. How do they feel with individual friends? With different groups? In different settings? How does this compare with how they feel when engaged with social media? In general, when technology is supporting strong connections with friends, it can enhance their health and well-being. When it helps youth isolated by interests or identity to become connected to supportive youth who are physically far away, it can be a social lifeline. But sometimes, social media exploits youth sensitivity to peer opinions and social comparison to keep their attention without the payoff of deepened or new relationships. Do they know the youth they are chatting with or following? Could they spend 2 hours with them offline? How do they feel after spending 2 hours “with” them online? Once again, the goal is to develop teens’ awareness of the quality of their relationships and of their control over how to manage this.

Acknowledge Their Own Vulnerabilities

Does your patient have attention-deficit/hyperactivity disorder (ADHD)? Are they being treated for depression? An anxiety disorder? An eating disorder? While we cannot say whether excessive use of social media can cause these problems, we know that it can be counterproductive to their treatment. Youth with ADHD have great difficulty switching their cognitive focus away from something rewarding, so are particularly prone to spending excessive time in addictive apps. Those with depression often have low energy and initiative alongside feelings of worthlessness that can make engaging in physical, in-person activities challenging. Those with anxiety disorders are prone to rumination and avoidance. The possibility of escaping into virtual social activities or distractions can be very hard to resist and counter-therapeutic for these youth (and adults). Those with eating disorders are vulnerable to comparing themselves with idealized (airbrushed) images online, which can intensify the body image distortion and competitiveness that are common in eating disorders. While there may be helpful information about diagnoses, treatment, and support, there is also troubling information about self-injury, restrictive eating, and even suicide that can increase the risk for these behaviors in vulnerable youth. You can help your patients cultivate awareness of how to take good care of themselves.

Create Habits That Support Sleep, Exercise, and Relationships

Talk with your patients and their parents about strategies to set habits that will make it easier for them to be smart users of their smartphones. Can they explore new apps or games together? Can they talk together about how each of them relaxes and recharges? Then they can work together on how this tool (and toy) can fit into a healthy life. The task is to prioritize sleep, exercise, and live, in-person social time, so virtual activities don’t take over the time needed for them. This can be as simple as consistent bed and waking times and ensuring that smartphones are not at the dining table or in bedrooms at night. Having dinner together as a family most nights (an especially positive habit), going for walks, runs, or hikes together, or doing activities that everyone enjoys (playing music or board games, making cookies or art, gardening) are beneficial for every family member’s physical and mental health and ensure that screen time is not at the expense of real connection. Invite your patients to tell you how they practice putting their smartphones away, getting their homework done, or making time for activities that matter to them. And find out how they relax and recharge beyond using their smartphones. Healthy habits evolve over a lifetime, and there will surely be new technologies that require new limits in the coming years. Helping your patients to make good choices will serve them well as they enter adulthood and throughout their lives.

Dr. Swick is physician in chief at Ohana Center for Child and Adolescent Behavioral Health, Community Hospital of the Monterey (California) Peninsula. Dr. Michael S. Jellinek is professor emeritus of psychiatry and pediatrics, Harvard Medical School, Boston. Email them at pdnews@mdedge.com.

Amid the declarations about the current mental health crisis among youth, it has become increasingly common to link rising rates of anxiety and depression among youth to screen time, and more specifically to hours spent on social media. But in truth, this matter is far from settled. The evidence linking mood and anxiety disorders to social media use is inconsistent. And where the evidence is stronger, causality has not been established. Does screen time precipitate an episode of depression or does a preteen at risk for depression, in the midst of a divorce or burdened by learning problems, use screen time excessively as a solution to these problems? There is also substantial variation across age groups, genders, and other factors that suggests that time spent on smartphone apps may not be the primary factor creating risk. Indeed, there is growing uncertainty about whether the climbing rates of anxiety and mood disorders among youth reflect yet to be identified factors increasing the burden of mental illness or the altered screening and tracking landscape in the United States after COVID and the Affordable Care Act. This uncertainty does not mean that we cannot make recommendations about how to guide patients and their families. Smartphones (and watches, glasses, etc) are here to stay. We can help young people and their families to be smart users of their smartphones and social media as we learn more detail about risk and vulnerability.

Start by asking your patients how much time they spend on screens of all sorts and on social media in particular. Find out if there are rules at school or at home limiting screen time or social media. Are there disagreements about screen time? Are patients frustrated with their parents’ use of screens? What are their favorite apps to use? How much time do they think they spend on them? If they don’t know, point out how they can track it on their phone directly. Is it painful to be separated from their phone? Do they have interests or hobbies that are not screen-based? What would they do if the power or Wi-Fi was out for a week? These questions can be the start of an ongoing project for screen time and social media literacy.

Swick_Susan_D_CA_web.jpg

Recognize That Apps Are Designed to Be Addictive

Smartphones are useful tools designed to help people stay connected, manage their bank accounts, keep up with current events, access entertainment, and much more. It is easy to spend more time than one intended on them. The applications developed for smartphones promise, and often deliver, efficiency and ease, including staying connected to friends and families. But social media applications have been developed to make their parent companies profit from ad revenue or selling user data. They are designed to encourage more and more use, and for some may become addictive. Start the literacy course with a clear statement of this fact. Remind teenagers that they are often the target audience for the corporations making money from these apps. They are especially sensitive to the likes and followers that can be the currency of social media. For every minute they spend on the apps, a corporation is profiting. It can be helpful to remind teenagers to bring their healthy skepticism of authority to their use of these corporate products.

Jellinek_Michael_S 2019_web.jpg

Develop Awareness of Their Time, Energy, and Mood

Time is our most precious commodity, and most teenagers are stressed by not having enough of it. Ask your patients about the variety of things they need to do and want to do each day. Do they have enough time to do the things they want beyond their smartphones? Is the time on their smartphones more or less than they want? How do they feel when they finish with different activities? Energized? Engaged? Exhilarated? Drained? Irritable? Sad? Do they feel connected? Lonely? Loved? Left out? Suggest that they pay attention to how they feel after engaging in all kinds of activities (including homework, sports, hobbies, and time with friends), as these are the types of choices they will make throughout their adult lives. Some tasks are simply required (homework), some are relaxing (leaving us feeling calm and even sleepy), and some are recharging (leaving us feeling focused and energized). If an activity consistently leaves them drained and irritable, sad, and lonely or discouraged and insecure, they need to step back and ask themselves why they are making this choice and if that is the choice they want to make. Support their developing self-awareness, activating their sense of agency and independence in making choices that will serve them.

Develop Awareness of Their Sense of Connection to Others

As your patients are paying attention to their mood, focus, interest, and energy, they can also pay attention to these components of their social life. How do they feel with individual friends? With different groups? In different settings? How does this compare with how they feel when engaged with social media? In general, when technology is supporting strong connections with friends, it can enhance their health and well-being. When it helps youth isolated by interests or identity to become connected to supportive youth who are physically far away, it can be a social lifeline. But sometimes, social media exploits youth sensitivity to peer opinions and social comparison to keep their attention without the payoff of deepened or new relationships. Do they know the youth they are chatting with or following? Could they spend 2 hours with them offline? How do they feel after spending 2 hours “with” them online? Once again, the goal is to develop teens’ awareness of the quality of their relationships and of their control over how to manage this.

Acknowledge Their Own Vulnerabilities

Does your patient have attention-deficit/hyperactivity disorder (ADHD)? Are they being treated for depression? An anxiety disorder? An eating disorder? While we cannot say whether excessive use of social media can cause these problems, we know that it can be counterproductive to their treatment. Youth with ADHD have great difficulty switching their cognitive focus away from something rewarding, so are particularly prone to spending excessive time in addictive apps. Those with depression often have low energy and initiative alongside feelings of worthlessness that can make engaging in physical, in-person activities challenging. Those with anxiety disorders are prone to rumination and avoidance. The possibility of escaping into virtual social activities or distractions can be very hard to resist and counter-therapeutic for these youth (and adults). Those with eating disorders are vulnerable to comparing themselves with idealized (airbrushed) images online, which can intensify the body image distortion and competitiveness that are common in eating disorders. While there may be helpful information about diagnoses, treatment, and support, there is also troubling information about self-injury, restrictive eating, and even suicide that can increase the risk for these behaviors in vulnerable youth. You can help your patients cultivate awareness of how to take good care of themselves.

Create Habits That Support Sleep, Exercise, and Relationships

Talk with your patients and their parents about strategies to set habits that will make it easier for them to be smart users of their smartphones. Can they explore new apps or games together? Can they talk together about how each of them relaxes and recharges? Then they can work together on how this tool (and toy) can fit into a healthy life. The task is to prioritize sleep, exercise, and live, in-person social time, so virtual activities don’t take over the time needed for them. This can be as simple as consistent bed and waking times and ensuring that smartphones are not at the dining table or in bedrooms at night. Having dinner together as a family most nights (an especially positive habit), going for walks, runs, or hikes together, or doing activities that everyone enjoys (playing music or board games, making cookies or art, gardening) are beneficial for every family member’s physical and mental health and ensure that screen time is not at the expense of real connection. Invite your patients to tell you how they practice putting their smartphones away, getting their homework done, or making time for activities that matter to them. And find out how they relax and recharge beyond using their smartphones. Healthy habits evolve over a lifetime, and there will surely be new technologies that require new limits in the coming years. Helping your patients to make good choices will serve them well as they enter adulthood and throughout their lives.

Dr. Swick is physician in chief at Ohana Center for Child and Adolescent Behavioral Health, Community Hospital of the Monterey (California) Peninsula. Dr. Michael S. Jellinek is professor emeritus of psychiatry and pediatrics, Harvard Medical School, Boston. Email them at pdnews@mdedge.com.

Amid the declarations about the current mental health crisis among youth, it has become increasingly common to link rising rates of anxiety and depression among youth to screen time, and more specifically to hours spent on social media. But in truth, this matter is far from settled. The evidence linking mood and anxiety disorders to social media use is inconsistent. And where the evidence is stronger, causality has not been established. Does screen time precipitate an episode of depression or does a preteen at risk for depression, in the midst of a divorce or burdened by learning problems, use screen time excessively as a solution to these problems? There is also substantial variation across age groups, genders, and other factors that suggests that time spent on smartphone apps may not be the primary factor creating risk. Indeed, there is growing uncertainty about whether the climbing rates of anxiety and mood disorders among youth reflect yet to be identified factors increasing the burden of mental illness or the altered screening and tracking landscape in the United States after COVID and the Affordable Care Act. This uncertainty does not mean that we cannot make recommendations about how to guide patients and their families. Smartphones (and watches, glasses, etc) are here to stay. We can help young people and their families to be smart users of their smartphones and social media as we learn more detail about risk and vulnerability.

Start by asking your patients how much time they spend on screens of all sorts and on social media in particular. Find out if there are rules at school or at home limiting screen time or social media. Are there disagreements about screen time? Are patients frustrated with their parents’ use of screens? What are their favorite apps to use? How much time do they think they spend on them? If they don’t know, point out how they can track it on their phone directly. Is it painful to be separated from their phone? Do they have interests or hobbies that are not screen-based? What would they do if the power or Wi-Fi was out for a week? These questions can be the start of an ongoing project for screen time and social media literacy.

Swick_Susan_D_CA_web.jpg

Recognize That Apps Are Designed to Be Addictive

Smartphones are useful tools designed to help people stay connected, manage their bank accounts, keep up with current events, access entertainment, and much more. It is easy to spend more time than one intended on them. The applications developed for smartphones promise, and often deliver, efficiency and ease, including staying connected to friends and families. But social media applications have been developed to make their parent companies profit from ad revenue or selling user data. They are designed to encourage more and more use, and for some may become addictive. Start the literacy course with a clear statement of this fact. Remind teenagers that they are often the target audience for the corporations making money from these apps. They are especially sensitive to the likes and followers that can be the currency of social media. For every minute they spend on the apps, a corporation is profiting. It can be helpful to remind teenagers to bring their healthy skepticism of authority to their use of these corporate products.

Jellinek_Michael_S 2019_web.jpg

Develop Awareness of Their Time, Energy, and Mood

Time is our most precious commodity, and most teenagers are stressed by not having enough of it. Ask your patients about the variety of things they need to do and want to do each day. Do they have enough time to do the things they want beyond their smartphones? Is the time on their smartphones more or less than they want? How do they feel when they finish with different activities? Energized? Engaged? Exhilarated? Drained? Irritable? Sad? Do they feel connected? Lonely? Loved? Left out? Suggest that they pay attention to how they feel after engaging in all kinds of activities (including homework, sports, hobbies, and time with friends), as these are the types of choices they will make throughout their adult lives. Some tasks are simply required (homework), some are relaxing (leaving us feeling calm and even sleepy), and some are recharging (leaving us feeling focused and energized). If an activity consistently leaves them drained and irritable, sad, and lonely or discouraged and insecure, they need to step back and ask themselves why they are making this choice and if that is the choice they want to make. Support their developing self-awareness, activating their sense of agency and independence in making choices that will serve them.

Develop Awareness of Their Sense of Connection to Others

As your patients are paying attention to their mood, focus, interest, and energy, they can also pay attention to these components of their social life. How do they feel with individual friends? With different groups? In different settings? How does this compare with how they feel when engaged with social media? In general, when technology is supporting strong connections with friends, it can enhance their health and well-being. When it helps youth isolated by interests or identity to become connected to supportive youth who are physically far away, it can be a social lifeline. But sometimes, social media exploits youth sensitivity to peer opinions and social comparison to keep their attention without the payoff of deepened or new relationships. Do they know the youth they are chatting with or following? Could they spend 2 hours with them offline? How do they feel after spending 2 hours “with” them online? Once again, the goal is to develop teens’ awareness of the quality of their relationships and of their control over how to manage this.

Acknowledge Their Own Vulnerabilities

Does your patient have attention-deficit/hyperactivity disorder (ADHD)? Are they being treated for depression? An anxiety disorder? An eating disorder? While we cannot say whether excessive use of social media can cause these problems, we know that it can be counterproductive to their treatment. Youth with ADHD have great difficulty switching their cognitive focus away from something rewarding, so are particularly prone to spending excessive time in addictive apps. Those with depression often have low energy and initiative alongside feelings of worthlessness that can make engaging in physical, in-person activities challenging. Those with anxiety disorders are prone to rumination and avoidance. The possibility of escaping into virtual social activities or distractions can be very hard to resist and counter-therapeutic for these youth (and adults). Those with eating disorders are vulnerable to comparing themselves with idealized (airbrushed) images online, which can intensify the body image distortion and competitiveness that are common in eating disorders. While there may be helpful information about diagnoses, treatment, and support, there is also troubling information about self-injury, restrictive eating, and even suicide that can increase the risk for these behaviors in vulnerable youth. You can help your patients cultivate awareness of how to take good care of themselves.

Create Habits That Support Sleep, Exercise, and Relationships

Talk with your patients and their parents about strategies to set habits that will make it easier for them to be smart users of their smartphones. Can they explore new apps or games together? Can they talk together about how each of them relaxes and recharges? Then they can work together on how this tool (and toy) can fit into a healthy life. The task is to prioritize sleep, exercise, and live, in-person social time, so virtual activities don’t take over the time needed for them. This can be as simple as consistent bed and waking times and ensuring that smartphones are not at the dining table or in bedrooms at night. Having dinner together as a family most nights (an especially positive habit), going for walks, runs, or hikes together, or doing activities that everyone enjoys (playing music or board games, making cookies or art, gardening) are beneficial for every family member’s physical and mental health and ensure that screen time is not at the expense of real connection. Invite your patients to tell you how they practice putting their smartphones away, getting their homework done, or making time for activities that matter to them. And find out how they relax and recharge beyond using their smartphones. Healthy habits evolve over a lifetime, and there will surely be new technologies that require new limits in the coming years. Helping your patients to make good choices will serve them well as they enter adulthood and throughout their lives.

Dr. Swick is physician in chief at Ohana Center for Child and Adolescent Behavioral Health, Community Hospital of the Monterey (California) Peninsula. Dr. Michael S. Jellinek is professor emeritus of psychiatry and pediatrics, Harvard Medical School, Boston. Email them at pdnews@mdedge.com.