Racial-Ethnic Differences in Psychiatric Diagnoses and Treatment Across 11 Health Care Systems in the Mental Health Research Network

Characterizing psychopharmacological prescribing practices in a large cohort of adolescents with borderline personality disorder

BACKGROUND

Psychiatric medications are not efficacious for treating borderline personality disorder (BPD), yet many patients with BPD are prescribed multiple psychiatric medications. This study aimed to (1) characterize psychiatric medication prescribing practices in adolescents with BPD and (2) assess whether demographic features are associated with prescribing practices.

METHOD

This sample was N = 2950 pediatric patients with BPD (ages 10-19) across the U.S. Data came from the NeuroBlu database, which includes data from 30 U.S. healthcare systems and hundreds of hospitals. Poisson regressions and chi-squared tests determined whether gender, race, and ethnicity were associated with (1) number of unique psychiatric medications prescribed and (2) number of unique medication classes prescribed.

RESULTS

Roughly two-thirds (64.85%) of youth were prescribed any medications. Of these youth, 79.40% were prescribed ≥ 2 unique medications and 72.66% were prescribed ≥ 2 unique medications classes. The mean number of unique medications was 3.50 (SD = 2.50). The mean number of unique medication classes was 2.35 (SD = 1.15). The most commonly prescribed medication classes were antidepressants and antipsychotics, which were often prescribed in combination. Poisson regressions showed that boys were prescribed more unique medications (M = 3.67) than girls (M = 3.47). Non-Latinx youth were prescribed significantly more unique medications (M = 44.12) than Latinx youth (M = 3.60, p = .01).

CONCLUSIONS

Results characterize psychiatric medication prescribing practices in youth with BPD. Prescribing practices vary by demographics, such that boys and non-Latinx youth are prescribed more medications than girls and Latinx youth, respectively. These demographic differences suggest that prescribers may treat BPD differently based on patient demographic characteristics.

Mental Health and Black Male Graduate Students

The purpose of this study was to understand how masculinity and race impact mental health among Black male graduate students. A qualitative study using in-depth interviews recruited Black male graduate students enrolled at a private university in the southern United States. Data were collected over zoom and recorded. Interviews were transcribed and the data were analyzed for similar themes. Twenty-nine Black male graduate students 23 to 51 were recruited. Participants reported the three main elements that impacted their mental health were (1) expectations, (2) pressure, and (3) being strong. These findings suggest that colleges need to develop programming to help Black men learn how to handle racial discrimination in positive ways. Additionally, findings also highlight the need for culturally relevant mental health services that let Black men know seeking help is ok and is what men do.

Variation in completeness of coding external cause of injuries under ICD-10-CM

INTRODUCTION

Information about causes of injury is key for injury prevention efforts. Historically, cause-of-injury coding in clinical practice has been incomplete due to the need for extra diagnosis codes in the International Classification of Diseases-Ninth Revision-Clinical Modification (ICD-9-CM) coding. The transition to ICD-10-CM and increased use of clinical support software for diagnosis coding is expected to improve completeness of cause-of-injury coding. This paper assesses the recording of external cause-of-injury codes specifically for those diagnoses where an additional code is still required.

METHODS

We used electronic health record and claims data from 10 health systems from October 2015 to December 2021 to identify all inpatient and emergency encounters with a primary diagnosis of injury. The proportion of encounters that also included a valid external cause-of-injury code is presented.

RESULTS

Most health systems had high rates of cause-of-injury coding: over 85% in emergency departments and over 75% in inpatient encounters with primary injury diagnoses. However, several sites had lower rates in both settings. State mandates were associated with consistently high external cause recording.

CONCLUSIONS

Completeness of cause-of-injury coding improved since the adoption of ICD-10-CM coding and increased slightly over the study period at most sites. However, significant variation remained, and completeness of cause-of-injury coding in any diagnosis data used for injury prevention planning should be empirically determined.

Racial and ethnic socioenvironmental inequity and neuroimaging in psychiatry: a brief review of the past and recommendations for the future

Neuroimaging is a major tool that holds immense translational potential for understanding psychiatric disorder phenomenology and treatment. However, although epidemiological and social research highlights the many ways inequity and representativeness influences mental health, there is a lack of consideration of how such issues may impact neuroimaging features in psychiatric research. More specifically, the potential extent to which racialized inequities may affect underlying neurobiology and impact the generalizability of neural models of disorders is unclear. The present review synthesizes research focused on understanding the potential consequences of racial/ethnic inequities relevant to neuroimaging in psychiatry. We first discuss historical and contemporary drivers of inequities that persist today. We then discuss the neurobiological consequences of these inequities as revealed through current research, and note emergent research demonstrating the impact such inequities have on our ability to use neuroimaging to understand psychiatric disease. We end with a set of recommendations and practices to move the field towards more equitable approaches that will advance our abilities to develop truly generalizable neurobiological models of psychiatric disorders.

Ethnoracial Risk Variation Across the Psychosis Continuum in the US: A Systematic Review and Meta-Analysis

Importance

Studies suggest a higher risk of schizophrenia diagnoses in Black vs White Americans, yet a systematic investigation of disparities that include other ethnoracial groups and multiple outcomes on the psychosis continuum is lacking.

Objective

To identify ethnoracial risk variation in the US across 3 psychosis continuum outcomes (ie, schizophrenia and other psychotic disorders, clinical high risk for psychosis [CHR-P], and psychotic symptoms [PSs] and psychotic experiences [PEs]).

Data Sources

PubMed, PsycINFO and Embase were searched up to December 2022.

Study Selection

Observational studies on ethnoracial differences in risk of 3 psychosis outcomes.

Data Extraction and Synthesis

Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines were followed. Using a random-effects model, estimates for ethnoracial differences in schizophrenia and PSs/PEs were pooled and moderation by sampling and setting was determined, along with the assessment of heterogeneity and risk of bias.

Main Outcomes and Measures

Risk of schizophrenia and other psychotic disorder, CHR-P, and conversion to psychosis among CHR-P and PSs/PEs.

Results

Of 64 studies in the systematic review, 47 were included in the meta-analysis comprising 54 929 people with schizophrenia and 223 097 with data on PSs/PEs. Compared with White individuals, Black individuals had increased risk of schizophrenia (pooled odds ratio [OR], 2.07; 95% CI, 1.64-2.61) and PSs/PEs (pooled standardized mean difference [SMD], 0.10; 95% CI, 0.03-0.16), Latinx individuals had higher risk of PSs/PEs (pooled SMD, 0.15; 95% CI, 0.08-0.22), and individuals classified as other ethnoracial group were at significantly higher risk of schizophrenia than White individuals (pooled OR, 1.81; 95% CI, 1.31-2.50). The results regarding CHR-P studies were mixed and inconsistent. Sensitivity analyses showed elevated odds of schizophrenia in Asian individuals in inpatient settings (pooled OR, 1.84; 95% CI, 1.19-2.84) and increased risk of PEs among Asian compared with White individuals, specifically in college samples (pooled SMD, 0.16; 95% CI, 0.02-0.29). Heterogeneity across studies was high, and there was substantial risk of bias in most studies.

Conclusions and Relevance

Findings of this systematic review and meta-analysis revealed widespread ethnoracial risk variation across multiple psychosis outcomes. In addition to diagnostic, measurement, and hospital bias, systemic influences such as structural racism should be considered as drivers of ethnoracial disparities in outcomes across the psychosis continuum in the US.

Access to healthcare and depression severity in vulnerable groups the US: NHANES 2013-2018

BACKGROUND

Access to healthcare is essential for managing chronic diseases, yet it often poses a barrier, contributing to a significant burden of conditions like depression. This study aimed to investigate the association between healthcare access and depression severity in contemporary free-living adults in the US, with a focus on identifying vulnerable populations.

METHOD

Data from the National Health and Nutrition Examination Survey cycles 2013-2018 were utilized, involving 13,689 participants aged 20 years or older. Multivariable multinomial logistic regression models were conducted, adjusting for various confounding variables.

RESULTS

Approximately 17 % of US adults lacked access to healthcare, while 24 % experienced varying levels of depression severity, with 8 % having moderate-to-severe depression. More males faced challenges accessing healthcare, while more females reported diverse levels of depression. Both healthcare access and depression severity were associated with low educational attainment, low familial income, lacking spousal support, lacking health insurance coverage, and worse self-reported overall health. We found a higher vulnerability to moderate-to-severe depression among females (OR (95 % CI): 1.20 (0.91, 1.59)), individuals identifying as the Other ethnic group (1.69 (1.02, 2.79)), and those living without a spouse (1.57 (1.10, 2.26)).

LIMITATIONS

Our cross-sectional study cannot establish causality, and potential biases related to self-reported data exist.

CONCLUSIONS

Access to healthcare emerged as a crucial predictor of moderate-to-severe depression among females, individuals of the Other ethnic group, and those without a spouse. Longitudinal research is needed to confirm and enhance our understanding of factors that shape the relationship between healthcare access and depression in free-living US adults.

Short report: Transition to International Classification of Diseases, 10th Revision and the prevalence of autism in a cohort of healthcare systems

LAY ABSTRACT

Currently, the prevalence of autism spectrum disorder (henceforth "autism") is 1 in 36, an increasing trend from previous estimates. In 2015, the United States adopted a new version (International Classification of Diseases, 10th Revision) of the World Health Organization coding system, a standard for classifying medical conditions. Our goal was to examine how the transition to this new coding system impacted autism diagnoses in 10 healthcare systems. We obtained information from electronic medical records and insurance claims data from July 2014 through December 2016 for each healthcare system. We used member enrollment data for 30 consecutive months to observe changes 15 months before and after adoption of the new coding system. Overall, the rates of autism per 1000 enrolled members was increasing for 0- to 5-year-olds before transition to International Classification of Diseases, 10th Revision and did not substantively change after the new coding was in place. There was variation observed in autism diagnoses before and after transition to International Classification of Diseases, 10th Revision for other age groups. The change to the new coding system did not meaningfully affect autism rates at the participating healthcare systems. The increase observed among 0- to 5-year-olds is likely indicative of an ongoing trend related to increases in screening for autism rather than a shift associated with the new coding.

Differences in schizophrenia treatments by race and ethnicity-analysis of electronic health records

Racial disparities in prescriptions of anti-psychotics have been highlighted before. However, (i) the evidence on other medications, including anti-depressant or mood stabilizing medications is lacking, and (ii) the role of potentially confounding factors and (iii) specificity of such disparities to schizophrenia (SCZ), are still unknown. We used electronic health records (EHRs) from 224,212 adults to estimate the odds ratios of receiving a prescription for different nervous system medications among patients with SCZ of different race/ethnicity, and analogous linear models to investigate differences in prescribed medication doses. To verify specificity of the observed patterns to SCZ, we conducted analogous analyses in depression and bipolar disorder (BD) patients. We found that Black/African American (AA) and Hispanic patients with SCZ were more likely to be prescribed haloperidol (Black/AA: OR = 1.52 (1.33-1.74); Hispanic: OR = 1.32 (1.12-1.55)) or risperidone (Black/AA: OR = 1.27 (1.11-1.45); Hispanic: OR = 1.40 (1.19-1.64)), but less likely to be prescribed clozapine (Black/AA: OR = 0.40 (0.33-0.49); Hispanic: OR = 0.45 (0.35-0.58)), compared to white patients. There were no race/ethnicity-related differences in the prescribed medication doses. These patterns were not specific to SCZ: Asian, Hispanic and Black/AA patients with BD or depression were more likely to be prescribed anti-psychotics, but less likely to be prescribed antidepressants or mood-stabilizers. In conclusion, we found racial/ethnic disparities in the medications prescribed to patients with SCZ and other psychiatric conditions. We discuss the potential implications for the quality of care for patients of diverse races/ethnicities.

Analysis of Hospitals Switching From a "Danger to Self" Question to Universal Columbia-Suicide Severity Rating Scale Screening: Impact on Screenings, Identification of Suicide Risk, and Documented Psychiatric Care

Objective

Sutter Health launched system-wide general population standardized suicide screening with the Columbia-Suicide Severity Rating Scale (C-SSRS) screen (triage) version in 23 hospitals in 2019, replacing a one-question "danger to self" (DTS) assessment. This study analyzed the impact of C-SSRS implementation on screening rates, positive screenings, and documented psychiatric care within 90 days for all patients and a subgroup diagnosed with Major Depressive Disorder (MDD).

Methods

Adults seen at hospitals in the pre-period (July 1, 2017-June 30, 2019) and post-period (July 1, 2019-December 31, 2020) were identified using electronic health records. Outcomes were compared using chi-square statistics and interrupted time series (ITS) models.

Results

Pre-period, 92.8% (740,984/798,653) of patients were screened by DTS versus 84.6% (504,015/595,915) by C-SSRS in the post-period. Positive screening rates were 1.5% pre-period and 2.2% post-period, and 9.2% pre-period versus 10.8% post-period for those with MDD. Among individuals with positive screenings, 64.0% (pre-period) had documented follow-up psychiatric care versus 52.5% post-period and 66.4% of those with moderate or high-risk. Among all patients seen there was an overall increase in documentation of psychiatric care within 90 days (0.87% pre- to 0.96% post-period). ITS models revealed a 9.6% decline in screening, 1.3% increase in positive screenings, and 12.9% decline in documented psychiatric care following C-SSRS implementation (all p < 0.01).

Conclusions

Following implementation, there was meaningful increase in suicide risk identification, and an increase in the proportion of patients with documented psychiatric care. Observed relative declines in screening warrant future research examining opportunities and barriers to general population C-SSRS use.

Predicting suicide death after emergency department visits with mental health or self-harm diagnoses

OBJECTIVE

Use health records data to predict suicide death following emergency department visits.

METHODS

Electronic health records and insurance claims from seven health systems were used to: identify emergency department visits with mental health or self-harm diagnoses by members aged 11 or older; extract approximately 2500 potential predictors including demographic, historical, and baseline clinical characteristics; and ascertain subsequent deaths by self-harm. Logistic regression with lasso and random forest models predicted self-harm death over 90 days after each visit.

RESULTS

Records identified 2,069,170 eligible visits, 899 followed by suicide death within 90 days. The best-fitting logistic regression with lasso model yielded an area under the receiver operating curve of 0.823 (95% CI 0.810-0.836). Visits above the 95th percentile of predicted risk included 34.8% (95% CI 31.1-38.7) of subsequent suicide deaths and had a 0.303% (95% CI 0.261-0.346) suicide death rate over the following 90 days. Model performance was similar across subgroups defined by age, sex, race, and ethnicity.

CONCLUSIONS

Machine learning models using coded data from health records have moderate performance in predicting suicide death following emergency department visits for mental health or self-harm diagnosis and could be used to identify patients needing more systematic follow-up.

Psychotherapy Disruption Before and After the Transition to Virtual Mental Health Care Induced by the COVID-19 Pandemic

OBJECTIVE

This study aimed to examine population-level disruption in psychotherapy before and after the rapid shift to virtual mental health care induced by the onset of the COVID-19 pandemic in the United States.

METHODS

This retrospective study used electronic health record and insurance claims data from three U.S. health systems. The sample included 110,089 patients with mental health conditions who were members of the health systems' affiliated health plans and attended at least two psychotherapy visits from June 14, 2019, through December 15, 2020. Data were subdivided into two 9-month periods (before vs. after COVID-19 onset, defined in this study as March 14, 2020). Psychotherapy visits were measured via health records and categorized as in person or virtual. Disruption was defined as a gap of >45 days between visits.

RESULTS

Visits in the preonset period were almost exclusively in person (97%), whereas over half of visits in the postonset period were virtual (52%). Approximately 35% of psychotherapy visits were followed by a disruption in the preonset period, compared with 18% in the postonset period. Disruption continued to be less common (adjusted OR=0.45) during the postonset period after adjustment for visit, mental health, and sociodemographic factors. The magnitude of the difference in disruption between periods was homogeneous across sociodemographic characteristics but heterogeneous across psychiatric diagnoses.

CONCLUSIONS

This study found fewer population-level disruptions in psychotherapy receipt after rapid transition to virtual mental health care following COVID-19 onset. These data support the continued availability of virtual psychotherapy.

Stability of Suicide Risk Prediction Models During Changes in Health Care Delivery

OBJECTIVE

The authors aimed to use health records data to examine how the accuracy of statistical models predicting self-harm or suicide changed between 2015 and 2019, as health systems implemented suicide prevention programs.

METHODS

Data from four large health systems were used to identify specialty mental health visits by patients ages ≥11 years, assess 311 potential predictors of self-harm (including demographic characteristics, historical risk factors, and index visit characteristics), and ascertain fatal or nonfatal self-harm events over 90 days after each visit. New prediction models were developed with logistic regression with LASSO (least absolute shrinkage and selection operator) in random samples of visits (65%) from each calendar year and were validated in the remaining portion of the sample (35%).

RESULTS

A model developed for visits from 2009 to mid-2015 showed similar classification performance and calibration accuracy in a new sample of about 13.1 million visits from late 2015 to 2019. Area under the receiver operating characteristic curve (AUC) ranged from 0.840 to 0.849 in the new sample, compared with 0.851 in the original sample. New models developed for each year for 2015-2019 had classification performance (AUC range 0.790-0.853), sensitivity, and positive predictive value similar to those of the previously developed model. Models selected similar predictors from 2015 to 2019, except for more frequent selection of depression questionnaire data in later years, when questionnaires were more frequently recorded.

CONCLUSIONS

A self-harm prediction model developed with 2009-2015 visit data performed similarly when applied to 2015-2019 visits. New models did not yield superior performance or identify different predictors.

Racial-Ethnic Differences in Receipt of Past-Year Health Care Services Among Suicide Decedents: A Case-Control Study

OBJECTIVE

Suicide remains an urgent public health crisis. Although some sociodemographic characteristics are associated with greater suicide risk in the general population, it is unclear whether individuals utilizing health care in the United States have similar suicide incidence patterns. The authors examined whether race-ethnicity is associated with suicide death among patients seeking health care and investigated health care utilization patterns.

METHODS

Data were collected from electronic health records and government mortality records for patients seeking health care across nine health care systems in the United States. Patients who died by suicide (N=1,935) were matched with patients in a control group (N=19,350) within each health care system.

RESULTS

Patients who died by suicide were significantly more likely to be White, older, male, living in low-education areas, living in rural areas, or diagnosed as having mental health conditions or were significantly less likely to have commercial insurance (p<0.05). Among most racial-ethnic groups, those who died by suicide had a higher number of past-year mental health, primary care, and total health care visits; for American Indian/Alaska Native patients, the number of health care visits tended to be lower among suicide decedents.

CONCLUSIONS

These findings suggest that higher past-year health care utilization was associated with increased likelihood of suicide death across several racial-ethnic groups. This observation underscores the need for identifying and managing suicide risk in health care settings, including outside of mental health visits, among most racial-ethnic groups.

Ethnoracial disparities in care on a consultation-liaison service at an academic hospital

BACKGROUND

There is currently an increasing recognition of and focus on structural and institutional racism and its impacts on health disparities. In psychiatry and mental health, research has focused on racial and ethnic disparities in the availability and utilization of mental health services, care in emergency departments, and inpatient psychiatric services. Little is known about disparities in care on general hospital psychiatry consultation-liaison (CL) services.

METHODS

In this exploratory study, we conducted a retrospective chart review using electronic health record (EHR) data of all adults (≥ 18 years of age) admitted to inpatient medical or surgical floors at an urban academic medical center for whom a psychiatric consultation was requested during the study period. We examined differences by race and ethnicity in: rates of consultation requests; use of legal holds, constant observation, restraints; follow-up by the CL service; and ultimate disposition.

RESULTS

The service received 310 unique consults during the study period. Compared to hospital-wide numbers, Black-identifying patients were over-represented in our sample (11.9% vs 6.6%), while Latinx patients were underrepresented (6.1% vs 9.8%). Of the clinical and outcome variables collected, there were higher odds of being placed on a legal hold both prior to (OR 2.6) and after the consult question (OR 2.98) and in the odds of having a one-to-one observer prior to (OR 2.47) and after (OR 2.9) the initial consult visit for Black-identifying patients, when adjusting for confounders. There were no other measurable differences in care or outcomes by racial or ethnic categories.

CONCLUSION

Black-identifying patients may be more likely to receive psychiatric consultation and be placed on legal holds because of a combination of chronic adverse social determinants of health and race-based bias. Conversely, Latinx patients may be less likely to receive psychiatric consultation because of language barriers among other factors. The lack of disparities identified in other domains may be encouraging, but larger studies are needed. Further research is also needed to identify causality and interventions that could help close the gap in care and outcomes for racial and ethnic minorities.

Predicting risk of suicidal behavior from insurance claims data vs. linked data from insurance claims and electronic health records

PURPOSE

Observational studies assessing effects of medical products on suicidal behavior often rely on health record data to account for pre-existing risk. We assess whether high-dimensional models predicting suicide risk using data derived from insurance claims and electronic health records (EHRs) are superior to models using data from insurance claims alone.

METHODS

Data were from seven large health systems identified outpatient mental health visits by patients aged 11 or older between 1/1/2009 and 9/30/2017. Data for the 5 years prior to each visit identified potential predictors of suicidal behavior typically available from insurance claims (e.g., mental health diagnoses, procedure codes, medication dispensings) and additional potential predictors available from EHRs (self-reported race and ethnicity, responses to Patient Health Questionnaire or PHQ-9 depression questionnaires). Nonfatal self-harm events following each visit were identified from insurance claims data and fatal self-harm events were identified by linkage to state mortality records. Random forest models predicting nonfatal or fatal self-harm over 90 days following each visit were developed in a 70% random sample of visits and validated in a held-out sample of 30%. Performance of models using linked claims and EHR data was compared to models using claims data only.

RESULTS

Among 15 845 047 encounters by 1 574 612 patients, 99 098 (0.6%) were followed by a self-harm event within 90 days. Overall classification performance did not differ between the best-fitting model using all data (area under the receiver operating curve or AUC = 0.846, 95% CI 0.839-0.854) and the best-fitting model limited to data available from insurance claims (AUC = 0.846, 95% CI 0.838-0.853). Competing models showed similar classification performance across a range of cut-points and similar calibration performance across a range of risk strata. Results were similar when the sample was limited to health systems and time periods where PHQ-9 depression questionnaires were recorded more frequently.

CONCLUSION

Investigators using health record data to account for pre-existing risk in observational studies of suicidal behavior need not limit that research to databases including linked EHR data.

Ethnic differences in receipt of psychological interventions in Early Intervention in Psychosis services in England - a cross-sectional study

There is some evidence of differences in psychosis care provision by ethnicity. We investigated variations in the receipt of Cognitive Behavioural Therapy for psychosis (CBTp) and family intervention across ethnic groups in Early Intervention in Psychosis (EIP) teams throughout England, where national policy mandates offering these interventions to all. We included data on 29,610 service users from the National Clinical Audit of Psychosis (NCAP), collected between 2018 and 2021. We conducted mixed effects logistic regression analyses to examine odds ratios of receiving an intervention (CBTp, family intervention, either intervention) across 17 ethnic groups while accounting for the effect of years and variance between teams and adjusting for individual- (age, gender, occupational status) and team-level covariates (care-coordinator caseload, inequalities strategies). Compared with White British people, every minoritized ethnic group, except those of mixed Asian-White and mixed Black African-White ethnicities, had significantly lower adjusted odds of receiving CBTp. People of Black African, Black Caribbean, non-African/Caribbean Black, non-British/Irish White, and of "any other" ethnicity also experienced significantly lower adjusted odds of receiving family intervention. Pervasive inequalities in receiving CBTp for first episode psychosis exist for almost all minoritized ethnic groups, and family intervention for many groups. Investigating how these inequalities arise should be a research priority.

Outcomes of People of Color in an Efficacy Trial of Cognitive-Behavioral Treatments for Anxiety, Depression, and Related Disorders: Preliminary Evidence

ABSTRACT

Although evidence-based psychological treatments such as cognitive behavioral therapy (CBT) have strong empirical support for reducing anxiety and depression symptoms, CBT outcome research often does not report race and ethnicity variables, or assess how well CBT works for people from historically excluded racial and ethnic groups. This study presents post hoc analyses comparing treatment retention and symptom outcomes for participants of color ( n = 43) and White participants ( n = 136) from a randomized controlled efficacy trial of CBT. χ 2 tests and one-way ANCOVA showed no observable differences between the two samples on attrition or on clinician-rated measures of anxiety and depression at posttreatment and follow-up. Moderate to large within-group effect sizes on anxiety and depression were found for Black, Latinx, and Asian American participants at almost all time points. These preliminary findings suggest that CBT for anxiety and comorbid depression may be efficacious for Black, Asian American, and Latinx individuals.

Diagnosed Posttraumatic Stress Disorder and Other Trauma-Associated Stress Disorders and Risk for Suicide Mortality

OBJECTIVE

Strong evidence exists for posttraumatic stress disorder (PTSD) as a risk factor for suicidal thoughts and behaviors across diverse populations. However, few empirical studies have examined PTSD and other trauma-associated stress disorders as risk factors for suicide mortality among health system populations. This study aimed to assess trauma-associated stress diagnoses as risk factors for suicide mortality in a U.S. health system population.

METHODS

This case-control, matched-design study examined individuals who died by suicide between 2000 and 2015 and had received care from nine U.S. health systems affiliated with the Mental Health Research Network (N=3,330). Individuals who died by suicide were matched with individuals from the general health system population (N=333,000): 120 individuals with PTSD who died by suicide were matched with 1,592 control group members, 84 with acute reaction to stress were matched with 2,218 control individuals, and 331 with other stress reactions were matched with 8,174 control individuals.

RESULTS

After analyses were adjusted for age and sex, individuals with any trauma-associated stress condition were more likely to have died by suicide. Risk was highest among individuals with PTSD (adjusted OR [AOR]=10.10, 95% CI=8.31-12.27), followed by those with other stress reactions (AOR=5.38, 95% CI=4.78-6.06) and those with acute reaction to stress (AOR=4.49, 95% CI=3.58-5.62). Patterns of risk remained the same when the analyses were adjusted for any comorbid psychiatric condition.

CONCLUSIONS

All trauma-associated stress disorders are risk factors for suicide mortality, highlighting the importance of health system suicide prevention protocols that consider the full spectrum of traumatic stress diagnoses.

Mental Health Outcomes Among American Indian and Alaska Native U.S. Army Soldiers: A Serial Cross-Sectional Analysis

INTRODUCTION

American Indian and Alaska Native (AI/AN) individuals in the USA experience higher rates of mental illness and preventable death than the general population. Published research demonstrates that AI/AN veterans experience similar disparities to other minorities compared to non-minority veterans; few studies, however, have assessed mental health outcomes in AI/AN active duty military members. The objective of this study was to determine differences in depression, anxiety, hazardous alcohol consumption, and suicidal ideation among AI/AN soldiers compared to soldiers of other races during the Coronavirus Disease 2019 (COVID-19) pandemic.

MATERIALS AND METHODS

We conducted repeated cross-sectional electronic surveys to assess the mental health of active duty and activated reserve U.S. Army soldiers within three commands in the Northwestern Continental United States , Republic of Korea, and Germany during May-June 2020 (T1) and December 2020-January 2021 (T2). The primary exposure of interest in the present analysis was race and ethnicity, and the primary outcomes were probable depression with functional impairment (subsequently "depression"), probable anxiety with functional impairment (subsequently "anxiety"), hazardous alcohol use, and suicidal ideation. Multivariable logistic regression models were used to determine the association between demographics and COVID-19 concerns on mental health outcomes for each time point.

RESULTS

A total of 21,293 participants responded to the survey at T1 (participation rate = 28.0%), and 10,861 participants responded to the survey at T2 (participation rate = 14.7%). In the multivariable model, AI/AN participants had 1.36 higher adjusted odds of suicidal ideation (95% CI: 1.02-1.82) at T1 and 1.50 greater adjusted odds of suicidal ideation at T2 (95% CI: 1.00-2.24), when compared to non-Hispanic White participants. During T1, there was no significant difference detected between AI/AN and non-Hispanic White participants for anxiety (adjusted odds ratio: 1.21; 95% CI: 0.91-1.60) (Table IV). However, AI/AN participants had 1.82 greater adjusted odds of anxiety when compared to non-Hispanic White participants at T2 (adjusted odds ratio: 1.82; 95% CI: 1.29-2.57). There were no significant differences detected between AI/AN participants and non-Hispanic White participants in multivariable models for either depression or hazardous alcohol use at both time points.

CONCLUSIONS

Although we hypothesized that all adverse mental health outcomes would be higher for AI/AN service members at both time points, there were no significant differences at each of the time points analyzed for most of the outcomes analyzed. However, differences in suicidal ideation were found at both time points. Analyses and proposed interventions should account for diversity and heterogeneity of AI/AN populations.

Screening for Anxiety Disorders in Adults: US Preventive Services Task Force Recommendation Statement

Importance

Anxiety disorders are commonly occurring mental health conditions. They are often unrecognized in primary care settings and substantial delays in treatment initiation occur.

Objective

The US Preventive Services Task Force (USPSTF) commissioned a systematic review to evaluate the benefits and harms of screening for anxiety disorders in asymptomatic adults.

Population

Asymptomatic adults 19 years or older, including pregnant and postpartum persons. Older adults are defined as those 65 years or older.

Evidence Assessment

The USPSTF concludes with moderate certainty that screening for anxiety disorders in adults, including pregnant and postpartum persons, has a moderate net benefit. The USPSTF concludes that the evidence is insufficient on screening for anxiety disorders in older adults.

Recommendation

The USPSTF recommends screening for anxiety disorders in adults, including pregnant and postpartum persons. (B recommendation) The USPSTF concludes that the current evidence is insufficient to assess the balance of benefits and harms of screening for anxiety disorders in older adults. (I statement).

Depression and Suicide Risk Screening: Updated Evidence Report and Systematic Review for the US Preventive Services Task Force

Importance

Depression is common and associated with substantial burden. Suicide rates have increased over the past decade, and both suicide attempts and deaths have devastating effects on individuals and families.

Objective

To review the benefits and harms of screening and treatment for depression and suicide risk and the accuracy of instruments to detect these conditions among primary care patients.

Data Sources

MEDLINE, PsychINFO, Cochrane library through September 7, 2022; references of existing reviews; ongoing surveillance for relevant literature through November 25, 2022.

Study Selection

English-language studies of screening or treatment compared with control conditions, or test accuracy of screening instruments (for depression, instruments were selected a priori; for suicide risk, all were included). Existing systematic reviews were used for treatment and test accuracy for depression.

Data Extraction and Synthesis

One investigator abstracted data; a second checked accuracy. Two investigators independently rated study quality. Findings were synthesized qualitatively, including reporting of meta-analysis results from existing systematic reviews; meta-analyses were conducted on original research when evidence was sufficient.

Main Outcomes and Measures

Depression outcomes; suicidal ideation, attempts, and deaths; sensitivity and specificity of screening tools.

Results

For depression, 105 studies were included: 32 original studies (N=385 607) and 73 systematic reviews (including ≈2138 studies [N ≈ 9.8 million]). Depression screening interventions, many of which included additional components beyond screening, were associated with a lower prevalence of depression or clinically important depressive symptomatology after 6 to 12 months (pooled odds ratio, 0.60 [95% CI, 0.50-0.73]; reported in 8 randomized clinical trials [n=10 244]; I2 = 0%). Several instruments demonstrated adequate test accuracy (eg, for the 9-item Patient Health Questionnaire at a cutoff of 10 or greater, the pooled sensitivity was 0.85 [95% CI, 0.79-0.89] and specificity was 0.85 [95% CI, 0.82-0.88]; reported in 47 studies [n = 11 234]). A large body of evidence supported benefits of psychological and pharmacologic treatment of depression. A pooled estimate from trials used for US Food and Drug Administration approval suggested a very small increase in the absolute risk of a suicide attempt with second-generation antidepressants (odds ratio, 1.53 [95% CI, 1.09-2.15]; n = 40 857; 0.7% of antidepressant users had a suicide attempt vs 0.3% of placebo users; median follow-up, 8 weeks). Twenty-seven studies (n = 24 826) addressed suicide risk. One randomized clinical trial (n=443) of a suicide risk screening intervention found no difference in suicidal ideation after 2 weeks between primary care patients who were and were not screened for suicide risk. Three studies of suicide risk test accuracy were included; none included replication of any instrument. The included suicide prevention studies generally did not demonstrate an improvement over usual care, which typically included specialty mental health treatment.

Conclusions and Relevance

Evidence supported depression screening in primary care settings, including during pregnancy and postpartum. There are numerous important gaps in the evidence for suicide risk screening in primary care settings.

Income-related disparities in Medicare advantage behavioral health care quality

OBJECTIVE

To inform efforts to improve equity in the quality of behavioral health care by examining income-related differences in performance on HEDIS behavioral health measures in Medicare Advantage (MA) plans.

DATA SOURCES AND STUDY SETTING

Reporting Year 2019 MA HEDIS data were obtained and analyzed.

STUDY DESIGN

Logistic regression models were used to estimate differences in performance related to enrollee income, adjusting for sex, age, and race-and-ethnicity. Low-income enrollees were identified by Dual Eligibility for Medicare and Medicaid or receipt of the Low-Income Subsidy (DE/LIS). Models without and with random effects for plans were used to estimate overall and within-plan differences in measure performance. Heterogeneity by race-and-ethnicity in the associations of low-income with behavioral health quality were examined using models with interaction terms.

DATA COLLECTION/EXTRACTION METHODS

Data were included for all MA contracts in the 50 states and the District of Columbia that collect HEDIS data.

PRINCIPAL FINDINGS

For six of the eight measures, enrollees with DE/LIS coverage were more likely to have behavioral health conditions that qualify for HEDIS measures than higher income enrollees. In mixed-effects logistic regression models, DE/LIS coverage was associated with statistically significantly worse overall performance on five measures, with four large (>5 percentage point) differences (-7.5 to -11.1 percentage points) related to follow-up after hospitalization and avoidance of drug-disease interactions. Where the differences were large, they were primarily within-plan rather than between-plan. Interactions between DE/LIS and race-and-ethnicity were statistically significant (p < 0.05) for all measures; income-based quality gaps were larger for White enrollees than for Black or Hispanic enrollees.

CONCLUSIONS

Low income is associated with lower performance on behavioral health HEDIS measures in MA, but these associations differ across racial-and-ethnic groups. Improving care integration and addressing barriers to care for low-income enrollees may improve equity across income levels in behavioral health care.

Racial and Ethnic Variation in Complementary and Integrative Health Therapy Use Among US Veterans

Importance

White individuals are the greatest users of complementary and integrative health (CIH) therapies in the general population, but this might partially be due to differences in age, health condition, and location. Identifying the nuances in racial and ethnic differences in care is one important step to addressing them.

Objective

To evaluate racial and ethnic differences in Veterans Affairs (VA)-covered CIH therapy use in a more nuanced manner by examining the association of 5 demographic characteristics, health conditions, and medical facility locations with those differences.

Design, Setting, and Participants

Retrospective cross-sectional observational study of VA health care system users, using electronic health record and administrative data at all VA medical facilities and community-based clinics. Participants included veterans with nonmissing race and ethnicity data using VA-funded health care between October 2018 and September 2019. Data were analyzed from June 2022 to April 2023.

Main Outcome and Measure

Any use of VA-covered acupuncture, chiropractic care, massage therapy, yoga, or meditation/mindfulness.

Results

The sample consisted of 5 260 807 veterans with a mean (SD) age of 62.3 (16.4) years and was 91% male (4 788 267 veterans), 67% non-Hispanic White (3 547 140 veterans), 6% Hispanic (328 396 veterans), and 17% Black (903 699 veterans). Chiropractic care was the most used CIH therapy among non-Hispanic White veterans, Hispanic veterans, and veterans of other races and ethnicities, while acupuncture was the most commonly used therapy among Black veterans. When not accounting for the location of the VA medical facilities in which veterans used health care, Black veterans appeared more likely to use yoga and meditation than non-Hispanic White veterans and far less likely to use chiropractic care, while those of Hispanic or other race and ethnicity appeared more likely to use massage than non-Hispanic White veterans. However, those differences mostly disappeared once controlling for medical facility location, with few exceptions-after adjustment Black veterans were less likely than non-Hispanic White veterans to use yoga and more likely to use chiropractic care.

Conclusions and Relevance

This large-scale, cross-sectional study found racial and ethnic differences in use of 4 of 5 CIH therapies among VA health care system users when not considering their medical facility location. Given those differences mostly disappeared once medical facilities were accounted for, the results demonstrated the importance of considering facilities and residential locations when examining racial differences in CIH therapy use. Medical facilities could be a proxy for the racial and ethnic composition of their patients, CIH therapy availability, regional patient or clinician attitudes, or therapy availability.

Assessment of Disruptive Life Events for Individuals Diagnosed With Schizophrenia or Bipolar I Disorder Using Data From a Consumer Credit Reporting Agency

Importance

There is a dearth of population-level data on major disruptive life events (defined here as arrests by a legal authority, address changes, bankruptcy, lien, and judgment filings) for patients with bipolar I disorder (BPI) or schizophrenia, which has limited studies on mental health and treatment outcomes.

Objective

To conduct a population-level study on disruptive life events by using publicly available data on disruptive life events, aggregated by a consumer credit reporting agency in conjunction with electronic health record (EHR) data.

Design, Setting, and Participants

This study used EHR data from 2 large, integrated health care systems, Kaiser Permanente Southern California and Henry Ford Health. Cohorts of patients diagnosed from 2007 to 2019 with BPI or schizophrenia were matched 1:1 by age at analysis, age at diagnosis (if applicable), sex, race and ethnicity, and Medicaid status to (1) an active comparison group with diagnoses of major depressive disorder (MDD) and (2) a general health (GH) cohort without diagnoses of BPI, schizophrenia, or MDD. Patients with diagnoses of BPI or schizophrenia and their respective comparison cohorts were matched to public records data aggregated by a consumer credit reporting agency (98% match rate). Analysis took place between November 2020 and December 2022.

Main Outcomes and Measures

The differences in the occurrence of disruptive life events among patients with BPI or schizophrenia and their comparison groups.

Results

Of 46 167 patients, 30 008 (65%) had BPI (mean [SD] age, 42.6 [14.2] years) and 16 159 (35%) had schizophrenia (mean [SD], 41.4 [15.1] years). The majoriy of patients were White (30 167 [65%]). In addition, 18 500 patients with BPI (62%) and 6552 patients with schizophrenia (41%) were female. Patients with BPI were more likely to change addresses than patients in either comparison cohort (with the incidence ratio being as high as 1.25 [95% CI, 1.23-1.28]) when compared with GH cohort. Patients with BPI were also more likely to experience any of the financial disruptive life events with odds ratio ranging from 1.15 [95% CI, 1.07-1.24] to 1.50 [95% CI, 1.42-1.58]). The largest differences in disruptive life events were seen in arrests of patients with either BPI or schizophrenia compared with GH peers (3.27 [95% CI, 2.84-3.78] and 3.04 [95% CI, 2.57-3.59], respectively). Patients with schizophrenia had fewer address changes and were less likely to experience a financial event than their matched comparison cohorts.

Conclusions and Relevance

This study demonstrated that data aggregated by a consumer credit reporting agency can support population-level studies on disruptive life events among patients with BPI or schizophrenia.

A systematic review of persons of color participation in first episode psychosis coordinated specialty care randomized controlled trials in North America

The population of persons of color (POC) are increasing in the United States. Unfortunately, POC are significantly impacted by serious mental illness; psychosis represents a mental health disparity among POC. Fortunately, first episode coordinated specialty care (CSC) is an effective treatment for individuals who are in the early phases of a psychotic disorder. This systematic review of the literature examined POC inclusion rates in randomized controlled trials (RCT) examining First Episode Psychosis (FEP) programs. Our review yielded seven articles that met inclusion criteria. Our findings were mixed-researchers conducting RCTs on FEP programs did an excellent job including African American participants suggesting that findings from RCTs on FEP programs may generalize to African American participants. Regarding Latines, they were broadly underrepresented in RCTs on FEP CSC. Based on the data, we cannot definitively conclude to what extent findings from RCTs on FEP CSC generalize to Latines although results from studies that included a reasonable number of Latines offer promising results. Asians were overrepresented in three of the seven studies included in this review; thus it seems that the findings from RCTs on FEP CSC generalize to the Asian population in the United States.

Racial disparities in the pharmacological treatment of insomnia: A time-to-event analysis using real-world data

OBJECTIVE

Examine the association between race and time to pharmacologic treatment of insomnia in a large multi-institutional cohort.

METHODS

Retrospective analysis of electronic medical records from a regional health information exchange. Eligible patients included adults with at least one healthcare visit per year from 2010 to 2019, a new insomnia diagnosis code during the study period, and no prior insomnia diagnosis codes or medications. A Cox frailty model was used to examine the association between race and time to an insomnia medication after diagnosis.

RESULTS

In total, 9557 patients were analyzed, 7773 (81.3%) of whom where White, 1294 (13.5%) Black, 238 (2.5%) Other, and 252 (2.6%) unknown race. About 6.2% of Black and 8% of Other race patients received an order for a Food and Drug Administration-approved insomnia medication after diagnosis compared with 13.5% of White patients. Black patients were significantly less likely to have an order for a Food and Drug Administration-approved insomnia medication at all time points (adjusted hazard ratio [aHR] range: 0.37-0.73), and patients reporting Other race were less likely to have received an order at 2 (aHR 0.51, 95% confidence interval [CI] 0.28-0.94), 3 (aHR 0.33, 95% CI 0.13-0.79), and 4 years (aHR 0.21, 95% CI 0.06-0.71) of follow-up. Similar results were observed in a sensitivity analysis including off-label medications.

CONCLUSIONS

Patients belonging to racial minority groups are less likely to be prescribed an insomnia medication than White patients after accounting for sociodemographic and clinical factors. Further research is needed to determine the extent to which patient preferences and physician perceptions affect these prescribing patterns and investigate potential disparities in nonpharmacologic treatment.

International rates of receipt of psychological therapy for psychosis and schizophrenia: systematic review and meta-analysis

BACKGROUND

International clinical practice guidelines commonly recommend the provision of psychological therapies for psychosis and schizophrenia as an adjunct to medication. However, access to recommended therapies in routine clinical practice is limited. The aim of this review was to synthesise the available data on the provision of recommended psychological therapies for psychosis and schizophrenia across international mental health systems.

METHODS

Electronic databases (PsychINFO, Pubmed and EMBASE) were searched for audits, service evaluation projects, or surveys, which reported data on rates of offer or receipt of any recommended psychological therapy or therapeutic intervention as part of routine clinical care.

RESULTS

Twenty-two eligible studies from 9 countries were identified (N participants = 79,407). The most commonly recommended therapies in national guidelines were Cognitive-Behavioural Therapy for Psychosis (CBTp) and Family Interventions (FI). The overall pooled prevalence of rate of receipt of CBTp was 24% [95% CI 0.15-0.32] based on 15 studies (N = 42,494), with a higher rate of receipt of therapy found when pooling data from Early Intervention services only (41% [95% CI 0.21-0.60], 6 studies, N = 11,068). The overall pooled prevalence of rate of receipt of FI was 30% [95% CI 0.22-0.37] based on 14 studies (N = 13,863).

CONCLUSIONS

Overall rates of receipt of recommended psychological therapies for psychosis were low across the 9 countries data were available for in this review. However, there were high rates of heterogeneity across studies, meaning that pooled estimates should be interpreted with caution. Sources of heterogeneity included different service settings (e.g. early intervention vs. non-early intervention services), and varying methods used to collect the data (e.g. audit of electronic health records vs. self-report etc.). There were no available data from the continents of South America, Asia, or Africa, meaning that a truly global picture of provision of psychological therapies for psychosis and schizophrenia is currently lacking.

Comparison of Black and White participants with severe mental illness in response to cognitive remediation as an augmentation of vocational rehabilitation

PURPOSE

Despite evidence that cognitive remediation improves cognitive and employment outcomes in persons with severe mental illnesses (SMI), its effects have not been systematically compared between Black and White participants. Considering that Black adults have more negative experiences receiving mental health treatment, providers may have greater difficulty engaging and retaining Black Americans in cognitive remediation. Due to the effects of structural racism on reducing employment opportunities for Black Americans, it is unclear whether Black participants will reap the same benefits of cognitive remediation on work outcomes as White Americans. This paper addressed this question.

METHODS

A secondary analysis was conducted of five randomized controlled trials comparing cognitive remediation (the Thinking Skills for Work program: TSW) and vocational rehabilitation vs. vocational rehabilitation only in 137 Black and 147 White Americans (64.2% schizophrenia-schizoaffective disorder) who were followed up for two years.

RESULTS

Comparable proportions of Black and White participants were engaged and retained in TSW (>75%). Participants who received TSW improved significantly more in cognition than those receiving vocational services alone, with no racial differences in benefit. Participants in TSW obtained more work, earned more wages, and worked more weeks than those receiving vocational services alone, with no differences between the races.

CONCLUSIONS

The findings indicate that Black Americans with SMI receiving vocational services could be successfully engaged in and benefit from cognitive remediation, highlighting the vital role of healthcare service systems in giving credence to structural racism to more effectively mitigate racial disparities in treatment outcomes.

Comparison of Black and white individuals who report diagnoses of schizophrenia in a national sample of US adults: Discrimination and service use

BACKGROUND

While there is increasing recognition of disparities in healthcare for Black Americans, there have been no comparisons in a nationally representative U.S. sample of Black and White adults with clinical diagnoses of schizophrenia.

METHODS

Using nationally representative survey data from the National Epidemiologic Survey on Alcohol and Related Conditions-III, we compared Black (n = 240, 36.2%) and White (n = 423, 63.8%) adults who report having been told by a physician that they have schizophrenia. Due to the large sample size, effect sizes (risk ratios and Cohen's d), rather than p-values, were used to identify the magnitude of differences in sociodemographic and clinical characteristics, including experiences of discrimination and service use. Multivariate analyses were used to identify independent factors.

RESULTS

Black individuals with diagnoses of schizophrenia reported multiple sociodemographic disadvantages, including lower rates of employment, educational attainment, income, marriage, and social support, with little difference in incarceration, violent behavior, and quality of life. They reported much higher scores on a general lifetime discrimination scale (Cohen's d = 0.75) and subscales representing job discrimination (d = 0.85), health system discrimination (d = 0.70), and public race-based abuse (d = 0.55) along with higher rates of past year alcohol and drug use disorders, but lower rates of co-morbid psychiatric disorders. Multivariable-adjusted regression analyses highlighted the independent association of Black race with measures of discrimination and religious service attendance; less likelihood of receiving psychiatric treatment (p = 0.02) but no difference in substance use treatment.

CONCLUSION

Black adults with schizophrenia report numerous social disadvantages, especially discrimination, but religious service attendance may be an important social asset.

Functional and molecular characterization of suicidality factors using phenotypic and genome-wide data

Genome-wide association studies (GWAS) of suicidal thoughts and behaviors support the existence of genetic contributions. Continuous measures of psychiatric disorder symptom severity can sometimes model polygenic risk better than binarized definitions. We compared two severity measures of suicidal thoughts and behaviors at the molecular and functional levels using genome-wide data. We used summary association data from GWAS of four traits analyzed in 122,935 individuals of European ancestry: thought life was not worth living (TLNWL), thoughts of self-harm, actual self-harm, and attempted suicide. A new trait for suicidal thoughts and behaviors was constructed first, phenotypically, by aggregating the previous four traits (termed "suicidality") and second, genetically, by using genomic structural equation modeling (gSEM; termed S-factor). Suicidality and S-factor were compared using SNP-heritability (h2) estimates, genetic correlation (rg), partitioned h2, effect size distribution, transcriptomic correlations (ρGE) in the brain, and cross-population polygenic scoring (PGS). The S-factor had good model fit (χ2 = 0.21, AIC = 16.21, CFI = 1.00, SRMR = 0.024). Suicidality (h2 = 7.6%) had higher h2 than the S-factor (h2 = 2.54, Pdiff = 4.78 × 10-13). Although the S-factor had a larger number of non-null susceptibility loci (πc = 0.010), these loci had small effect sizes compared to those influencing suicidality (πc = 0.005, Pdiff = 0.045). The h2 of both traits was enriched for conserved biological pathways. The rg and ρGE support highly overlapping genetic and transcriptomic features between suicidality and the S-factor. PGS using European-ancestry SNP effect sizes strongly associated with TLNWL in Admixed Americans: Nagelkerke's R2 = 8.56%, P = 0.009 (PGSsuicidality) and Nagelkerke's R2 = 7.48%, P = 0.045 (PGSS-factor). An aggregate suicidality phenotype was statistically more heritable than the S-factor across all analyses and may be more informative for future genetic study designs interested in common genetic factors among different suicide related phenotypes.

Dynamic relationships between depressive symptoms and insulin resistance over 20 years of adulthood

BACKGROUND

Bidirectional longitudinal relationships between depression and diabetes have been observed, but the dominant direction of their temporal relationships remains controversial.

METHODS

The random-intercept cross-lagged panel model decomposes observed variables into a latent intercept representing the traits, and occasion-specific latent 'state' variables. This permits correlations to be assessed between the traits, while longitudinal 'cross-lagged' associations and cross-sectional correlations can be assessed between occasion-specific latent variables. We examined dynamic relationships between depressive symptoms and insulin resistance across five visits over 20 years of adulthood in the population-based Coronary Artery Risk Development in Young Adults (CARDIA) study. Possible differences based on population group (Black v. White participants), sex and years of education were tested. Depressive symptoms and insulin resistance were quantified using the Center for Epidemiologic Studies Depression (CES-D) scale and the homeostatic model assessment for insulin resistance (HOMA-IR), respectively.

RESULTS

Among 4044 participants (baseline mean age 34.9 ± 3.7 years, 53% women, 51% Black participants), HOMA-IR and CES-D traits were weakly correlated (r = 0.081, p = 0.002). Some occasion-specific correlations, but no cross-lagged associations were observed overall. Longitudinal dynamics of these relationships differed by population groups such that HOMA-IR at age 50 was associated with CES-D score at age 55 (β = 0.076, p = 0.038) in White participants only. Longitudinal dynamics were consistent between sexes and based on education.

CONCLUSIONS

The relationship between depressive symptoms and insulin resistance was best characterized by weak correlations between occasion-specific states and enduring traits, with weak evidence that insulin resistance might be temporally associated with subsequent depressive symptoms among White participants later in adulthood.

Barriers to Accessing Mental Health Care Under the Mental Health Services Act: A Qualitative Case Study in Orange County, California

Despite progress made under California's Mental Health Services Act, limited access to care for cultural and linguistic minority groups remains a serious issue in community mental health. In this qualitative study we report findings from a large-scale community-level assessment that explored barriers to accessing care from the perspectives of multiple stakeholders including county advisors, advocates, community members, and consumers representing a range of cultural and linguistic communities in Orange County, California. We conducted 14 focus groups with N = 112 participants. Qualitative analysis revealed that system fragmentation, limited availability of linguistically appropriate care, and stigma continue to undermine access to mental health care. Peer health navigation and culturally responsive peer support are potential ways to promote service engagement with persons from cultural and linguistic minority groups that encounter barriers when accessing mental health services.

Implementing universal suicide screening in a large healthcare system's hospitals: rates of screening, suicide risk, and documentation of subsequent psychiatric care

Implementation of suicide risk screening may improve prevention and facilitate mental health treatment. This study analyzed implementation of universal general population screening using the Columbia-Suicide Severity Rating Scale (C-SSRS) within hospitals. The study included adults seen at 23 hospitals from 7/1/2019-12/31/2020. We describe rates of screening, suicide risk, and documented subsequent psychiatric care (i.e., transfer/discharge to psychiatric acute care, or referral/consultation with system-affiliated behavioral health providers). Patients with suicide risk (including those with Major Depressive Disorder [MDD]) were compared to those without using Wilcoxon rank-sum -tests for continuous variables and χ2 tests for categorical variables. Results reported are statistically significant at p < 0.05 level. Among 595,915 patients, 84.5% were screened by C-SSRS with 2.2% of them screening positive (37.6% low risk [i.e., ideation only], and 62.4% moderate or high risk [i.e., with a plan, intent, or suicidal behaviors]). Of individuals with suicide risk, 52.5% had documentation of psychiatric care within 90 days. Individuals with suicide risk (vs. without) were male (48.1% vs 43.0%), Non-Hispanic White (55.0% vs 47.8%), younger (mean age 41.0 [SD: 17.7] vs. 49.8 [SD: 20.4]), housing insecure (12.5% vs 2.6%), with mental health diagnoses (80.3% vs 25.1%), including MDD (41.3% vs 6.7%). Universal screening identified 2.2% of screened adults with suicide risk; 62.4% expressed a plan, intent or suicidal behaviors, and 80.3% had mental health diagnoses. Documented subsequent psychiatric care likely underestimates true rates due to care fragmentation. These findings reinforce the need for screening, and research on whether screening leads to improved care and fewer suicides.

Leading Predictors of COVID-19-Related Poor Mental Health in Adult Asian Indians: An Application of Extreme Gradient Boosting and Shapley Additive Explanations

During the COVID-19 pandemic, an increase in poor mental health among Asian Indians was observed in the United States. However, the leading predictors of poor mental health during the COVID-19 pandemic in Asian Indians remained unknown. A cross-sectional online survey was administered to self-identified Asian Indians aged 18 and older (N = 289). Survey collected information on demographic and socio-economic characteristics and the COVID-19 burden. Two novel machine learning techniques-eXtreme Gradient Boosting and Shapley Additive exPlanations (SHAP) were used to identify the leading predictors and explain their associations with poor mental health. A majority of the study participants were female (65.1%), below 50 years of age (73.3%), and had income ≥ $75,000 (81.0%). The six leading predictors of poor mental health among Asian Indians were sleep disturbance, age, general health, income, wearing a mask, and self-reported discrimination. SHAP plots indicated that higher age, wearing a mask, and maintaining social distancing all the time were negatively associated with poor mental health while having sleep disturbance and imputed income levels were positively associated with poor mental health. The model performance metrics indicated high accuracy (0.77), precision (0.78), F1 score (0.77), recall (0.77), and AUROC (0.87). Nearly one in two adults reported poor mental health, and one in five reported sleep disturbance. Findings from our study suggest a paradoxical relationship between income and poor mental health; further studies are needed to confirm our study findings. Sleep disturbance and perceived discrimination can be targeted through tailored intervention to reduce the risk of poor mental health in Asian Indians.

Accuracy of ICD-10-CM encounter diagnoses from health records for identifying self-harm events

OBJECTIVE

Assess the accuracy of ICD-10-CM coding of self-harm injuries and poisonings to identify self-harm events.

MATERIALS AND METHODS

In 7 integrated health systems, records data identified patients reporting frequent suicidal ideation. Records then identified subsequent ICD-10-CM injury and poisoning codes indicating self-harm as well as selected codes in 3 categories where uncoded self-harm events might be found: injuries and poisonings coded as undetermined intent, those coded accidental, and injuries with no coding of intent. For injury and poisoning encounters with diagnoses in those 4 groups, relevant clinical text was extracted from records and assessed by a blinded panel regarding documentation of self-harm intent.

RESULTS

Diagnostic codes selected for review include all codes for self-harm, 43 codes for undetermined intent, 26 codes for accidental intent, and 46 codes for injuries without coding of intent. Clinical text was available for review for 285 events originally coded as self-harm, 85 coded as undetermined intent, 302 coded as accidents, and 438 injury events with no coding of intent. Blinded review of full-text clinical records found documentation of self-harm intent in 254 (89.1%) of those originally coded as self-harm, 24 (28.2%) of those coded as undetermined, 24 (7.9%) of those coded as accidental, and 48 (11.0%) of those without coding of intent.

CONCLUSIONS

Among patients at high risk, nearly 90% of injuries and poisonings with ICD-10-CM coding of self-harm have documentation of self-harm intent. Reliance on ICD-10-CM coding of intent to identify self-harm would fail to include a small proportion of true self-harm events.

Mental health care for older adults: recent advances and new directions in clinical practice and research

The world's population is aging, bringing about an ever-greater burden of mental disorders in older adults. Given multimorbidities, the mental health care of these people and their family caregivers is labor-intensive. At the same time, ageism is a big problem for older people, with and without mental disorders. Positive elements of aging, such as resilience, wisdom and prosocial behaviors, need to be highlighted and promoted, both to combat stigma and to help protect and improve mental health in older adults. The positive psychiatry of aging is not an oxymoron, but a scientific construct strongly informed by research evidence. We champion a broader concept of geriatric psychiatry - one that encompasses health as well as illness. In the present paper, we address these issues in the context of four disorders that are the greatest source of years lived with disability: neurocognitive disorders, major depression, schizophrenia, and substance use disorders. We emphasize the need for implementation of multidisciplinary team care, with comprehensive assessment, clinical management, intensive outreach, and coordination of mental, physical and social health services. We also underscore the need for further research into moderators and mediators of treatment response variability. Because optimal care of older adults with mental disorders is both patient-focused and family-centered, we call for further research into enhancing the well-being of family caregivers. To optimize both the safety and efficacy of pharmacotherapy, further attention to metabolic, cardiovascular and neurological tolerability is much needed, together with further development and testing of medications that reduce the risk for suicide. At the same time, we also address positive aging and normal cognitive aging, both as an antidote to ageism and as a catalyst for change in the way we think about aging per se and late-life mental disorders more specifically. It is in this context that we provide directions for future clinical care and research.

Comparative Safety and Effectiveness of Roux-en-Y Gastric Bypass and Sleeve Gastrectomy for Weight Loss and Type 2 Diabetes Across Race and Ethnicity in the PCORnet Bariatric Study Cohort

Importance

Bariatric surgery is the most effective treatment for severe obesity; yet it is unclear whether the long-term safety and comparative effectiveness of these operations differ across racial and ethnic groups.

Objective

To compare outcomes of Roux-en-Y gastric bypass (RYGB) and sleeve gastrectomy (SG) across racial and ethnic groups in the National Patient-Centered Clinical Research Network (PCORnet) Bariatric Study.

Design, Setting, and Participants

This was a retrospective, observational, comparative effectiveness cohort study that comprised 25 health care systems in the PCORnet Bariatric Study. Patients were adults and adolescents aged 12 to 79 years who underwent a primary (first nonrevisional) RYGB or SG operation between January 1, 2005, and September 30, 2015, at participating health systems. Patient race and ethnicity included Black, Hispanic, White, other, and unrecorded. Data were analyzed from July 1, 2021, to January 17, 2022.

Exposure

RYGB or SG.

Outcomes

Percentage total weight loss (%TWL); type 2 diabetes remission, relapse, and change in hemoglobin A1c (HbA1c) level; and postsurgical safety and utilization outcomes (operations, interventions, revisions/conversions, endoscopy, hospitalizations, mortality, 30-day major adverse events) at 1, 3, and 5 years after surgery.

Results

A total of 36 871 patients (mean [SE] age, 45.0 [11.7] years; 29 746 female patients [81%]) were included in the weight analysis. Patients identified with the following race and ethnic categories: 6891 Black (19%), 8756 Hispanic (24%), 19 645 White (53%), 826 other (2%), and 783 unrecorded (2%). Weight loss and mean reductions in HbA1c level were larger for RYGB than SG in all years for Black, Hispanic, and White patients (difference in 5-year weight loss: Black, -7.6%; 95% CI, -8.0 to -7.1; P < .001; Hispanic, -6.2%; 95% CI, -6.6 to -5.9; P < .001; White, -5.9%; 95% CI, -6.3 to -5.7; P < .001; difference in change in year 5 HbA1c level: Black, -0.29; 95% CI, -0.51 to -0.08; P = .009; Hispanic, -0.45; 95% CI, -0.61 to -0.29; P < .001; and White, -0.25; 95% CI, -0.40 to -0.11; P = .001.) The magnitude of these differences was small among racial and ethnic groups (1%-3% of %TWL). Black and Hispanic patients had higher risk of hospitalization when they had RYGB compared with SG (hazard ratio [HR], 1.45; 95% CI, 1.17-1.79; P = .001 and 1.48; 95% CI, 1.22-1.79; P < .001, respectively). Hispanic patients had greater risk of all-cause mortality (HR, 2.41; 95% CI, 1.24-4.70; P = .01) and higher odds of a 30-day major adverse event (odds ratio, 1.92; 95% CI, 1.38-2.68; P < .001) for RYGB compared with SG. There was no interaction between race and ethnicity and operation type for diabetes remission and relapse.

Conclusions and Relevance

Variability of the comparative effectiveness of operations for %TWL and HbA1c level across race and ethnicity was clinically small; however, differences in safety and utilization outcomes were clinically and statistically significant for Black and Hispanic patients who had RYGB compared with SG. These findings can inform shared decision-making regarding bariatric operation choice for different racial and ethnic groups of patients.

Transgender and Gender Diverse Patients in Intensive Mood Disorder Treatment: A Comparative Examination of Clinical Presentation and Treatment Outcomes

Individuals who are transgender and gender diverse (TGD) are more likely to suffer from and to seek mental health services for mood disorders. Some literature suggests that TGD individuals, because of pervasive and systemic minority stress, may have more complex clinical presentations (i.e., psychiatric conditions and severity of symptoms) and may benefit from empirically based treatments to a lesser degree than their cisgender peers. However, research has yet to examine individuals who are TGD receiving treatment in specialized, intensive mood disorder treatment despite the propensity for them to be diagnosed with and treated for mood disorders. Using a sample of 1,326 adult patients in intensive mood disorder treatment (3.8% TGD), the clinical presentation and treatment outcomes were compared between patients who are TGD and cisgender. Contrary to previous research, TGD patients were largely similar if not healthier than their cisgender counterparts, including similar depression severity, quality of life, emotion dysregulation, and behavioral activation, and less severe rumination at admission. Despite similar to better reported mental health symptoms, TGD patients were diagnosed with more psychiatric conditions overall, including greater prevalence of social anxiety and neurodevelopmental diagnoses. Those who are TGD did not experience attenuated treatment response as predicted. Findings suggest that patients in intensive mood disorder treatment who are TGD may be more resilient than previously assumed, or supports may have increased to buffer effects of stigma on mental health, and emphasize the need to exercise discretion and sensitivity in diagnostic practices to prevent over-diagnosis and pathologizing of TGD individuals.

Detecting and distinguishing indicators of risk for suicide using clinical records

Health systems are essential for suicide risk detection. Most efforts target people with mental health (MH) diagnoses, but this only represents half of the people who die by suicide. This study seeks to discover and validate health indicators of suicide death among those with, and without, MH diagnoses. This case-control study used statistical modeling with health record data on diagnoses, procedures, and encounters. The study included 3,195 individuals who died by suicide from 2000 to 2015 and 249,092 randomly selected matched controls, who were age 18+ and affiliated with nine Mental Health Research Network affiliated health systems. Of the 202 indicators studied, 170 (84%) were associated with suicide in the discovery cohort, with 148 (86%) of those in the validation cohort. Malignant cancer diagnoses were risk factors for suicide in those without MH diagnoses, and multiple individual psychiatric-related indicators were unique to the MH subgroup. Protective effects across MH-stratified models included diagnoses of benign neoplasms, respiratory infections, and utilization of reproductive services. MH-stratified latent class models validated five subgroups with distinct patterns of indicators in both those with and without MH. The highest risk groups were characterized via high utilization with multiple healthcare concerns in both groups. The lowest risk groups were characterized as predominantly young, female, and high utilizers of preventive services. Healthcare data include many indicators of suicide risk for those with and without MH diagnoses, which may be used to support the identification and understanding of risk as well as targeting of prevention in health systems.

Effect of Offering Care Management or Online Dialectical Behavior Therapy Skills Training vs Usual Care on Self-harm Among Adult Outpatients With Suicidal Ideation: A Randomized Clinical Trial

IMPORTANCE

People at risk of self-harm or suicidal behavior can be accurately identified, but effective prevention will require effective scalable interventions.

OBJECTIVE

To compare 2 low-intensity outreach programs with usual care for prevention of suicidal behavior among outpatients who report recent frequent suicidal thoughts.

DESIGN, SETTING, AND PARTICIPANTS

Pragmatic randomized clinical trial including outpatients reporting frequent suicidal thoughts identified using routine Patient Health Questionnaire depression screening at 4 US integrated health systems. A total of 18 882 patients were randomized between March 2015 and September 2018, and ascertainment of outcomes continued through March 2020.

INTERVENTIONS

Patients were randomized to a care management intervention (n = 6230) that included systematic outreach and care, a skills training intervention (n = 6227) that introduced 4 dialectical behavior therapy skills (mindfulness, mindfulness of current emotion, opposite action, and paced breathing), or usual care (n = 6187). Interventions, lasting up to 12 months, were delivered primarily through electronic health record online messaging and were intended to supplement ongoing mental health care.

MAIN OUTCOMES AND MEASURES

The primary outcome was time to first nonfatal or fatal self-harm. Nonfatal self-harm was ascertained from health system records, and fatal self-harm was ascertained from state mortality data. Secondary outcomes included more severe self-harm (leading to death or hospitalization) and a broader definition of self-harm (selected injuries and poisonings not originally coded as self-harm).

RESULTS

A total of 18 644 patients (9009 [48%] aged 45 years or older; 12 543 [67%] female; 9222 [50%] from mental health specialty clinics and the remainder from primary care) contributed at least 1 day of follow-up data and were included in analyses. Thirty-one percent of participants offered care management and 39% offered skills training actively engaged in intervention programs. A total of 540 participants had a self-harm event (including 45 deaths attributed to self-harm and 495 nonfatal self-harm events) over 18 months following randomization: 172 (3.27%) in care management, 206 (3.92%) in skills training, and 162 (3.27%) in usual care. Risk of fatal or nonfatal self-harm over 18 months did not differ significantly between the care management and usual care groups (hazard ratio [HR], 1.07; 97.5% CI, 0.84-1.37) but was significantly higher in the skills training group than in usual care (HR, 1.29; 97.5% CI, 1.02-1.64). For severe self-harm, care management vs usual care had an HR of 1.03 (97.5% CI, 0.71-1.51); skills training vs usual care had an HR of 1.34 (97.5% CI, 0.94-1.91). For the broader self-harm definition, care management vs usual care had an HR of 1.10 (97.5% CI, 0.92-1.33); skills training vs usual care had an HR of 1.17 (97.5% CI, 0.97-1.41).

CONCLUSIONS AND RELEVANCE

Among adult outpatients with frequent suicidal ideation, offering care management did not significantly reduce risk of self-harm, and offering brief dialectical behavior therapy skills training significantly increased risk of self-harm, compared with usual care. These findings do not support implementation of the programs tested in this study.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT02326883.

Uterine fibroids and incidence of depression, anxiety and self-directed violence: a cohort study

BACKGROUND

Depression and anxiety are prevalent among women with uterine fibroids (UF). The rate of mental health diagnoses in women with UF has not been studied.

METHODS

Women aged 18-50 years with diagnosed UF were identified in the Optum Clinformatics commercial insurance claims database (OptumInsight, Eden Prairie, Minnesota) from 1 May 2000 to 31 March 2020 (n=313 754) and were matched 1:2 on age and calendar time to women without (n=627 539). Cox proportional hazards models estimated HRs and 95% CIs between UF and diagnosed depression, anxiety and self-directed violence, adjusting for demographics and comorbidities. Among women with diagnosed UF, the association between hysterectomy and mental health outcomes was estimated.

RESULTS

After adjusting for confounders, women with diagnosed UF had a higher rate of depression (HR: 1.12; 95% CI 1.10 to 1.13), anxiety (HR: 1.12; 95% CI 1.10 to 1.13) and self-directed violence (HR: 1.46; 95% CI 1.29 to 1.64) than women without. Among women with pain symptoms and heavy menstrual bleeding, the HR comparing women with diagnosed UF to women without was 1.21 (95% CI 1.18 to 1.25) for depression, 1.18 (95% CI 1.15 to 1.21) for anxiety and 1.68 (95% CI 1.35 to 2.09) for self-directed violence. Among women with diagnosed UF, the HR comparing women who underwent a hysterectomy to women who did not was 1.22 (95% CI 1.17 to 1.27) for depression, 1.13 (95% CI 1.09 to 1.17) for anxiety and 1.86 (95% CI 1.39 to 2.49) for self-directed violence.

CONCLUSIONS

Rates of depression, anxiety and self-directed violence were higher among women with diagnosed UF, particularly among those who experienced pain symptoms or who underwent hysterectomy.

Moving Toward a Human Rights Approach to Mental Health

The University of Florida Counseling and Wellness Center (UFCWC) has implemented peer support and professional training programs to address human rights identified within advocacy groups comprised of individuals who have, themselves, been diagnosed with mental illness. These programs are moving the UFCWC toward fulfilling a 2017 United Nations report emphasizing rights-based professional training, provision of genuine informed consent, and availability of non-compromised peer support alternatives. Collaborating with student peers, four UFCWC faculty members have facilitated forms of peer support developed within service-user movements, while openly identifying experiences of reclaiming their own lives from the impacts of adversity, intense mental distress, and traumatizing responses of others to their distress. In the wake of the current pervasive health, economic, and social justice crises, professionals have a collective opportunity to recognize the human experience and rights of those suffering mental distress. These UFCWC programs offer one example of steps taken toward that goal.

Self-reported Access to Firearms Among Patients Receiving Care for Mental Health and Substance Use

Question

Did patients respond to a standard question about firearm access on a mental health questionnaire, and, if so, how did they respond?

Findings

In this cross-sectional study of 128 802 patients receiving care for mental health and substance use, 83% of primary care patients answered a standard question about firearm access and 21% reported access. In mental health clinics, 92% of patients answered the question and 15% reported access.

Meaning

In this study, most patients reported firearm access on standard questionnaires; this screening practice may improve efforts to identify and engage patients at risk of suicide in discussions about securing firearms.

Importance

Firearms are the most common method of suicide, one of the “diseases of despair” driving increased mortality in the US over the past decade. However, routine standardized questions about firearm access are uncommon, particularly among adult populations, who are more often asked at the discretion of health care clinicians. Because standard questions are rare, patterns of patient-reported access are unknown.

Objective

To evaluate whether and how patients self-report firearm access information on a routine mental health monitoring questionnaire and additionally to examine sociodemographic and clinical associations of reported access.

Design, Setting, and Participants

Cross-sectional study of patients receiving care for mental health and/or substance use in primary care or outpatient mental health specialty clinics of Kaiser Permanente Washington, an integrated health insurance provider and care delivery system.

Main Outcomes and Measures

Electronic health records were used to identify patients who completed a standardized self-reported mental health monitoring questionnaire after a single question about firearm access was added from January 1, 2016, through December 31, 2019. Primary analyses evaluated response (answered vs not answered) and reported access (yes vs no) among those who answered, separately for patients seen in primary care and mental health. These analyses also evaluated associations between patient characteristics and reported firearm access. Data analysis took place from February 2020 through May 2021.

Results

Among patients (n = 128 802) who completed a mental health monitoring questionnaire during the study period, 74.4% (n = 95 875) saw a primary care clinician and 39.3% (n = 50 631) saw a mental health specialty clinician. The primary care and mental health samples were predominantly female (63.1% and 64.9%, respectively) and White (75.7% and 77.0%), with a mean age of 42.8 and 51.1 years. In primary care, 83.4% of patients answered the question about firearm access, and 20.9% of patients who responded to the firearm question reported having access. In mental health, 91.8% of patients answered the question, and 15.3% reported having access.

Conclusions and Relevance

In this cross-sectional study of adult patients receiving care for mental health and substance use, most patients answered a question about firearm access on a standardized mental health questionnaire. These findings provide a critical foundation to help advance understanding of the utility of standardized firearm access assessment and to inform development of practice guidelines and recommendations. Responses to standard firearm access questions used in combination with dialogue and decision-making resources about firearm access and storage may improve suicide prevention practices and outcomes.

Racial/Ethnic Disparities in the Performance of Prediction Models for Death by Suicide After Mental Health Visits

IMPORTANCE

Clinical prediction models estimated with health records data may perpetuate inequities.

OBJECTIVE

To evaluate racial/ethnic differences in the performance of statistical models that predict suicide.

DESIGN, SETTING, AND PARTICIPANTS

In this diagnostic/prognostic study, performed from January 1, 2009, to September 30, 2017, with follow-up through December 31, 2017, all outpatient mental health visits to 7 large integrated health care systems by patients 13 years or older were evaluated. Prediction models were estimated using logistic regression with LASSO variable selection and random forest in a training set that contained all visits from a 50% random sample of patients (6 984 184 visits). Performance was evaluated in the remaining 6 996 386 visits, including visits from White (4 031 135 visits), Hispanic (1 664 166 visits), Black (578 508 visits), Asian (313 011 visits), and American Indian/Alaskan Native (48 025 visits) patients and patients without race/ethnicity recorded (274 702 visits). Data analysis was performed from January 1, 2019, to February 1, 2021.

EXPOSURES

Demographic, diagnosis, prescription, and utilization variables and Patient Health Questionnaire 9 responses.

MAIN OUTCOMES AND MEASURES

Suicide death in the 90 days after a visit.

RESULTS

This study included 13 980 570 visits by 1 433 543 patients (64% female; mean [SD] age, 42 [18] years. A total of 768 suicide deaths were observed within 90 days after 3143 visits. Suicide rates were highest for visits by patients with no race/ethnicity recorded (n = 313 visits followed by suicide within 90 days, rate = 5.71 per 10 000 visits), followed by visits by Asian (n = 187 visits followed by suicide within 90 days, rate = 2.99 per 10 000 visits), White (n = 2134 visits followed by suicide within 90 days, rate = 2.65 per 10 000 visits), American Indian/Alaskan Native (n = 21 visits followed by suicide within 90 days, rate = 2.18 per 10 000 visits), Hispanic (n = 392 visits followed by suicide within 90 days, rate = 1.18 per 10 000 visits), and Black (n = 65 visits followed by suicide within 90 days, rate = 0.56 per 10 000 visits) patients. The area under the curve (AUC) and sensitivity of both models were high for White, Hispanic, and Asian patients and poor for Black and American Indian/Alaskan Native patients and patients without race/ethnicity recorded. For example, the AUC for the logistic regression model was 0.828 (95% CI, 0.815-0.840) for White patients compared with 0.640 (95% CI, 0.598-0.681) for patients with unrecorded race/ethnicity and 0.599 (95% CI, 0.513-0.686) for American Indian/Alaskan Native patients. Sensitivity at the 90th percentile was 62.2% (95% CI, 59.2%-65.0%) for White patients compared with 27.5% (95% CI, 21.0%-34.7%) for patients with unrecorded race/ethnicity and 10.0% (95% CI, 0%-23.0%) for Black patients. Results were similar for random forest models, with an AUC of 0.812 (95% CI, 0.800-0.826) for White patients compared with 0.676 (95% CI, 0.638-0.714) for patients with unrecorded race/ethnicity and 0.642 (95% CI, 0.579-0.710) for American Indian/Alaskan Native patients and sensitivities at the 90th percentile of 52.8% (95% CI, 50.0%-55.8%) for White patients, 29.3% (95% CI, 22.8%-36.5%) for patients with unrecorded race/ethnicity, and 6.7% (95% CI, 0%-16.7%) for Black patients.

CONCLUSIONS AND RELEVANCE

These suicide prediction models may provide fewer benefits and more potential harms to American Indian/Alaskan Native or Black patients or those with undrecorded race/ethnicity compared with White, Hispanic, and Asian patients. Improving predictive performance in disadvantaged populations should be prioritized to improve, rather than exacerbate, health disparities.

Trajectories of antidepressant use before and after a suicide attempt among refugees and Swedish-born individuals: a cohort study

Background

To identify key information regarding potential treatment differences in refugees and the host population, we aimed to investigate patterns (trajectories) of antidepressant use during 3 years before and after a suicide attempt in refugees, compared with Swedish-born. Association of the identified trajectory groups with individual characteristics were also investigated.

Methods

All 20–64-years-old refugees and Swedish-born individuals having specialised healthcare for suicide attempt during 2009–2015 (n = 62,442, 5.6% refugees) were followed 3 years before and after the index attempt. Trajectories of annual defined daily doses (DDDs) of antidepressants were analysed using group-based trajectory models. Associations between the identified trajectory groups and different covariates were estimated by chi²-tests and multinomial logistic regression.

Results

Among the four identified trajectory groups, antidepressant use was constantly low (≤15 DDDs) for 64.9% of refugees. A ‘low increasing’ group comprised 5.9% of refugees (60–260 annual DDDs before and 510–685 DDDs after index attempt). Two other trajectory groups had constant use at medium (110–190 DDDs) and high (630–765 DDDs) levels (22.5 and 6.6% of refugees, respectively). Method of suicide attempt and any use of psychotropic drugs during the year before index attempt discriminated between refugees’ trajectory groups. The patterns and composition of the trajectory groups and their association, discriminated with different covariates, were fairly similar among refugees and Swedish-born, with the exception of previous hypnotic and sedative drug use being more important in refugees.

Conclusions

Despite previous reports on refugees being undertreated regarding psychiatric healthcare, no major differences in antidepressant treatment between refugees and Swedish-born suicide attempters were found.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12939-021-01460-z.

Moving from Cultural Competence to Cultural Humility in Psychiatric Education

Given the significant, persistent health care inequities encountered by minority populations, health care organizations and training programs have sought to incorporate cultural competency training initiatives. However, the variety of pedagogical models demonstrate the current lack of a uniform standardized curriculum. Limitations of knowledge-based cultural competence initiatives have resulted in a shift toward attitude- and behavior-based "cultural humility." Cultural humility, the ability to maintain an interpersonal stance that is open in relation to aspects of cultural identity that are most important to the patient, expands on cultural competence, which is essential to improving patient care in mental health care settings.

The Use of Music in the Treatment and Management of Serious Mental Illness: A Global Scoping Review of the Literature

Mental and substance use disorders have been identified as the leading cause of global disability, and the global burden of mental illness is concentrated among those experiencing disability due to serious mental illness (SMI). Music has been studied as a support for SMIs for decades, with promising results; however, a lack of synthesized evidence has precluded increased uptake of and access to music-based approaches. The purpose of this scoping review was to identify the types and quantity of research at intersections of music and SMIs, document evidentiary gaps and opportunities, and generate recommendations for improving research and practice. Studies were included if they reported on music's utilization in treating or mitigating symptoms related to five SMIs: schizophrenia, bipolar disorder, generalized anxiety disorder, major depressive disorder, or post-traumatic stress disorder. Eight databases were searched; screening resulted in 349 included studies for data extraction. Schizophrenia was the most studied SMI, with bipolar disorder studied the least. Demographics, settings, and activity details were found to be inconsistently and insufficiently reported; however, listening to recorded music emerged as the most common musical activity, and activity details appeared to have been affected by the conditions under study. RCTs were the predominant study design, and 271 unique measures were utilized across 289 primary studies. Over two-thirds of primary studies (68.5%) reported positive results, with 2.8% reporting worse results than the comparator, and 12% producing indeterminate results. A key finding is that evidence synthesis is precluded by insufficient reporting, widely varied outcomes and measures, and intervention complexity; as a result, widespread changes are necessary to reduce heterogeneity (as feasible), increase replicability and transferability, and improve understandings of mechanisms and causal pathways. To that end, five detailed recommendations are offered to support the sharing and development of information across disciplines.

Impact of the Medicare Shared Savings Program on utilization of mental health and substance use services by eligibility and race/ethnicity

OBJECTIVE

To assess the impact of the Medicare Shared Savings Program (MSSP) ACOs on mental health and substance use services utilization and racial/ethnic disparities in care for these conditions.

DATA SOURCES

Five percent random sample of Medicare claims from 2009 to 2016.

STUDY DESIGN

We compared Medicare beneficiaries in MSSP ACOs to non-MSSP beneficiaries, stratifying analyses by Medicare eligibility (disability vs age 65+). We estimated difference-in-difference models of MSSP ACOs on mental health and substance use visits (outpatient and inpatient), medication fills, and adequate care for depression adjusting for age, sex, race/ethnicity, region, and chronic medical and behavioral health conditions. To examine the differential impact of MSSP on our outcomes by race/ethnicity, we used a difference-in-difference-in-differences (DDD) design.

DATA COLLECTION/EXTRACTION METHODS

Not applicable.

PRINCIPAL FINDINGS

MSSP ACOs were associated with small reductions in outpatient mental health (Coeff: -0.012, P < .001) and substance use (Coeff: -0.001, P < .01) visits in the disability population, and in adequate care for depression for both the disability- and age-eligible populations (Coeff: -0.028, P < .001; Coeff: -0.012, P < .001, respectively). MSSP ACO's were also associated with increases in psychotropic medications (Coeff: 0.007 and Coeff: 0.0213, for disability- and age-eligible populations, respectively, both P < .001) and reductions in inpatient mental health stays (Coeff:-0.004, P < .001, and Coeff:-0.0002, P < .01 for disability- and age-eligible populations, respectively) and substance use-related stays for disability-eligible populations (Coeff:-0.0005, P<.05). The MSSP effect on disparities varied depending on type of service.

CONCLUSIONS

We found small reductions in outpatient and inpatient stays and in rates of adequate care for depression associated with MSSP ACOs. As MSSP ACOs are placed at more financial risk for population-based treatment, it will be important to include more robust behavioral health quality measures in their contracts and to monitor disparities in care.