Health Care Spending, Use, and Financial Hardship Among Traditional Medicare and Medicare Advantage Enrollees With Mental Health Symptoms.

OBJECTIVE: We examined the differences in health care spending and utilization, and financial hardship between Traditional Medicare (TM) and Medicare Advantage (MA) enrollees with mental health symptoms. DESIGN: Cross-sectional study. PARTICIPANTS: We identified Medicare beneficiaries with mental health symptoms using the Patient Health Questionnaire-2 and the Kessler-6 Psychological Distress Scale in the 2015-2021 Medical Expenditure Panel Survey. MEASUREMENTS: Outcomes included health care spending and utilization (both general and mental health services), and financial hardship. The primary independent variable was MA enrollment. RESULTS: MA enrollees with mental health symptoms were 2.3 percentage points (95% CI: -3.4, -1.2; relative difference: 16.1%) less likely to have specialty mental health visits than TM enrollees with mental health symptoms. There were no significant differences in total health care spending, but annual out-of-pocket spending was $292 (95% CI: 152-432; 18.2%) higher among MA enrollees with mental health symptoms than TM enrollees with mental health symptoms. Additionally, MA enrollees with mental health symptoms were 5.0 (95% CI: 2.9-7.2; 22.3%) and 2.5 percentage points (95% CI: 0.8-4.2; 20.9%) more likely to have difficulty paying medical bills over time and to experience high financial burden than TM enrollees with mental health symptoms. CONCLUSION: Our findings suggest that MA enrollees with mental health symptoms were more likely to experience limited access to mental health services and high financial hardship compared to TM enrollees with mental health symptoms. There is a need to develop policies aimed at improving access to mental health services while reducing financial burden for MA enrollees.

Effect of Cash Benefits on Health Care Utilization and Health: A Randomized Study.

Importance: Poverty is associated with greater barriers to health care and worse health outcomes, but it remains unclear whether income support can improve health. Objective: To examine the effect of cash benefits on health care utilization and health. Design, Setting, and Participants: The City of Chelsea, Massachusetts, a low-income community near Boston, randomly assigned individuals by lottery to receive cash benefits. Participants' medical records were linked across multiple health systems. Outcomes were assessed during the intervention period from November 24, 2020, to August 31, 2021. Intervention: Cash benefits via debit card of up to $400 per month for 9 months. Main Outcomes and Measures: The primary outcome was emergency department visits. Secondary outcomes included specific types of emergency department visits, outpatient use overall and by specialty, COVID-19 vaccination, and biomarkers such as cholesterol levels. Results: Among 2880 individuals who applied for the lottery, mean age was 45.1 years and 77% were female. The 1746 participants randomized to receive the cash benefits had significantly fewer emergency department visits compared with the control group (217.1 vs 317.5 emergency department visits per 1000 persons; adjusted difference, -87.0 per 1000 persons [95% CI, -160.2 to -13.8]). This included reductions in emergency department visits related to behavioral health (-21.6 visits per 1000 persons [95% CI, -40.2 to -3.1]) and substance use (-12.8 visits per 1000 persons [95% CI, -25.0 to -0.6]) as well as those that resulted in a hospitalization (-27.3 visits per 1000 persons [95% CI, -53.6 to -1.1]). The cash benefit had no statistically significant effect on total outpatient visits (424.3 visits per 1000 persons [95% CI, -118.6 to 967.2]), visits to primary care (-90.4 visits per 1000 persons [95% CI, -308.1 to 127.2]), or outpatient behavioral health (83.5 visits per 1000 persons [95% CI, -182.9 to 349.9]). Outpatient visits to other subspecialties were higher in the cash benefit group compared with the control group (303.1 visits per 1000 persons [95% CI, 32.9 to 573.2]), particularly for individuals without a car. The cash benefit had no statistically significant effect on COVID-19 vaccination, blood pressure, body weight, glycated hemoglobin, or cholesterol level. Conclusions and Relevance: In this randomized study, individuals who received a cash benefit had significantly fewer emergency department visits, including those related to behavioral health and substance use, fewer admissions to the hospital from the emergency department, and increased use of outpatient subspecialty care. Study results suggest that policies that seek to alleviate poverty by providing income support may have important benefits for health and access to care.

Effects of a trauma-informed mindful recovery program on comorbid pain, anxiety, and substance use during primary care buprenorphine treatment: A proof-of-concept study.

BACKGROUND: A mindfulness-based intervention that reduces comorbid pain, anxiety, and substance use during office-based opioid treatment (OBOT) could enhance retention and prevent overdose. We conducted a pilot study of the Mindful Recovery OUD Care Continuum (M-ROCC), a 24-week trauma-informed program with a motivationally-sensitive curriculum. METHODS: Patients prescribed buprenorphine (N = 18) enrolled in M-ROCC. We collected urine toxicology biweekly. At 0, 4, and 24 weeks, participants completed PROMIS-Pain, PROMIS-Anxiety, Mindfulness (FFMQ), Experiential Avoidance (BEAQ), Interoceptive Awareness (MAIA), and Self-Compassion (SCS-SF) scales. We estimated changes over time using mixed models. Participants completed qualitative interviews at 4 and 24 weeks. RESULTS: Positive urine toxicology decreased over time for cocaine (ß = -.266, p = .008) and benzodiazepines (ß = -.208, p = .028). M-ROCC reduced PROMIS-Pain (Z = -2.29; p = .022), BEAQ (Z = -2.83; p = .0005), and increased FFMQ (Z = 3.51; p < .001), MAIA (Z = 3.40; p = .001), and SCS-SF (Z = 2.29; p = .022). Participants with co-morbid anxiety had decreased PROMIS-Anxiety (Z = -2.53; p = .012). Interviewed participants commonly used mindfulness practices for stress and anxiety (12/12, 100%), and to reduce pain catastrophizing and rumination (7/12, 58%). CONCLUSION AND SCIENTIFIC SIGNIFICANCE: This is the first study to report the effects of a 24-week mindfulness program during buprenorphine treatment on common comorbidities, including pain interference, anxiety, cocaine, and benzodiazepine use. The findings that M-ROCC is associated with reduced experiential avoidance, as well as increased interoceptive awareness and self-compassion, align with proposed mechanisms that are now extended to OUD treatment. Future larger randomized controlled trials are needed before effectiveness can be established and the role of these mechanisms can be confirmed.

Depression Treatment Expenditures for Adults in the USA: a Systematic Review.

PURPOSE OF REVIEW: We review 2016-2019 peer-reviewed literature which summarizes the factors contributing to high expense of treating depression among adults in the USA, and interventions that have been conducted to decrease depression treatment expenditures. RECENT FINDINGS: Treatment expenditures associated with depression are high and growing, driven in part by increased health care utilization and a shift toward increased insurance coverage of medications and therapies. The majority of identified articles describe the elevated financial burden associated with treating individuals with chronic medical conditions who also have a depression diagnosis. The few available studies documenting health care system-level interventions identify that multi-target treatment for comorbid illness, collaborative care management, and integration of psychiatric treatment into primary care show promise for reducing depression treatment expenditures. Additional research is needed to identify innovative, cost-effective state, and federal payer-initiated depression treatment models, and evaluation of collaborative care and integrated care models implemented to scale across multiple health care systems.

Impact of comorbid mental health needs on racial/ethnic disparities in general medical care utilization among older adults.

OBJECTIVE: The objective is to apply the Institute of Medicine definition of healthcare disparities in order to compare (1) racial/ethnic disparities in general medical care use among older adults with and without comorbid mental health need and (2) racial/ethnic disparities in general medical care use within the group with comorbid mental health need. METHODS: Data were obtained from the Medical Expenditure Panel Survey (years 2004-2012). The sample included 21,263 participants aged 65+ years (14,973 non-Latino Caucasians, 3530 African-Americans, and 2760 Latinos). Physical illness was determined by having one of the 11 priority chronic health illnesses. Comorbid mental health need was defined as having one of the chronic illnesses plus a Kessler-6 Scale >12, or two-item Patient Health Questionnaire >2. General medical care use refers to receipt of non-mental health specialty care. Two-part generalized linear models were used to estimate and compare general medical care use and expenditures among older adults with and without a comorbid mental health need. RESULTS: Racial/ethnic disparities in general medical care expenditures were greater among those with comorbid mental health need compared with those without. Among those with comorbid mental health need, non-Latino Caucasians had significantly greater expenditures on prescription drug use than African-Americans and Latinos. CONCLUSIONS: Expenditure disparities reflect differences in the amount of resources provided to African-Americans and Latinos compared with non-Latino Caucasians. This is not equivalent to disparities in quality of care. Interventions and policies are needed to ensure that racial/ethnic minority older adults receive equitable services that enable them to manage effectively their comorbid mental and physical health needs. Copyright © 2016 John Wiley & Sons, Ltd.

Patient-Provider Therapeutic Alliance Contributes to Patient Activation in Community Mental Health Clinics.

Patient activation, often conceptualized as an individual trait, contributes to mental health outcomes. This study assessed the relational contributors to activation by estimating the longitudinal association of patient-provider communication and two factors of therapeutic alliance (agreement on tasks/goals and bond), with patient activation. Participants were patients (n = 264) from 13 community-based mental health clinics across the United States. In multivariate models, controlling for patients' individual and clinical characteristics, the task/goal factor of therapeutic alliance emerged as a significant and independent predictor of greater change in patient activation scores. Improving patient activation may require addressing patient-provider interactions such as coming to collaborative agreement on the tasks/goals of care.

Trends in smoking among adults with mental illness and association between mental health treatment and smoking cessation.

IMPORTANCE: Significant progress has been made in reducing the prevalence of tobacco use in the United States. However, tobacco cessation efforts have focused on the general population rather than individuals with mental illness, who demonstrate greater rates of tobacco use and nicotine dependence. OBJECTIVES: To assess whether declines in tobacco use have been realized among individuals with mental illness and examine the association between mental health treatment and smoking cessation. DESIGN, SETTING, AND PARTICIPANTS: Use of nationally representative surveys of noninstitutionalized US residents to compare trends in smoking rates between adults with and without mental illness and across multiple disorders (2004-2011 Medical Expenditure Panel Survey [MEPS]) and to compare rates of smoking cessation among adults with mental illness who did and did not receive mental health treatment (2009-2011 National Survey of Drug Use and Health [NSDUH]).The MEPS sample included 32,156 respondents with mental illness (operationalized as reporting severe psychological distress, probable depression, or receiving treatment for mental illness) and 133,113 without mental illness. The NSDUH sample included 14,057 lifetime smokers with mental illness. MAIN OUTCOMES AND MEASURES: Current smoking status (primary analysis; MEPS sample) and smoking cessation, operationalized as a lifetime smoker who did not smoke in the last 30 days (secondary analysis; NSDUH sample). RESULTS: Adjusted smoking rates declined significantly among individuals without mental illness (19.2% [95% CI, 18.7-19.7%] to 16.5% [95% CI, 16.0%-17.0%]; P < .001) but changed only slightly among those with mental illness (25.3% [95% CI, 24.2%-26.3%] to 24.9% [95% CI, 23.8%- 26.0%]; P = .50), a significant difference in difference of 2.3% (95% CI, 0.7%-3.9%) (P = .005). Individuals with mental illness who received mental health treatment within the previous year were more likely to have quit smoking (37.2% [95% CI, 35.1%-39.4%]) than those not receiving treatment (33.1% [95% CI, 31.5%-34.7%]) (P = .005). CONCLUSIONS AND RELEVANCE: Between 2004 and 2011, the decline in smoking among individuals with mental illness was significantly less than among those without mental illness, although quit rates were greater among those receiving mental health treatment. This suggests that tobacco control policies and cessation interventions targeting the general population have not worked as effectively for persons with mental illness.

Social Risk Factors and Racial and Ethnic Disparities in Health Care Resource Utilization Among Medicare Advantage Beneficiaries With Psychiatric Disorders.

The intersection of social risk and race and ethnicity on mental health care utilization is understudied. This study examined disparities in health care treatment, adjusting for clinical need, among 25,780 Medicare Advantage beneficiaries with a diagnosis of a psychiatric disorder. We assessed contributions to disparities from racial and ethnic differences in the composition and returns of social risk variables. Black and Hispanic beneficiaries had lower rates of mental health outpatient visits than Whites. Assessing composition, Black and Hispanic beneficiaries experienced greater financial, food, and housing insecurity than White beneficiaries, factors associated with greater mental health treatment. Assessing returns, food insecurity was associated with an exacerbation of Hispanic-White disparities. Health care systems need to address the financial, food and housing insecurity of racial and ethnic minority groups with psychiatric disorder. Accounting for racial and ethnic differences in social risk adjustment-based payment reforms has significant implications for provider reimbursement and outcomes.

Examining Racial/Ethnic Differences in Patterns of Opioid Prescribing: Results from an Urban Safety-Net Healthcare System.

Prescription opioids still account for a large proportion of overdose deaths and contribute to opioid use dependence (OUD). Studies earlier in the epidemic suggest clinicians were less likely to prescribe opioids to racial/ethnic minorities. As OUD-related deaths have increased disproportionately amongst minority populations, it is essential to understand racial/ethnic differences in opioid prescribing patterns to inform culturally sensitive mitigation efforts. The purpose of this study is to estimate racial/ethnic differences in opioid medication use among patients prescribed opioids. Using electronic health records and a retrospective cohort study design, we estimated multivariable hazard models and generalized linear models, assessing racial/ethnic differences in OUD diagnosis, number of opioid prescriptions, receiving only one opioid prescription, and receiving ≥18 opioid prescriptions. Study population (N=22,201) consisted of adult patients (≥18years), with ≥3 primary care visits (ensuring healthcare system linkage), ≥1 opioid prescription, who did not have an OUD diagnoses prior to the first opioid prescription during the 32-month study period. Relative to racial/ethnic minority patients, White patients, in both unadjusted and adjusted analyses, had a greater number of opioid prescriptions filled, a higher proportion received ≥18 opioid prescriptions, and a greater hazard of having an OUD diagnosis subsequent to receiving an opioid prescription (all groups p<0.001). Although opioid prescribing rates have declined nationally, our findings suggest White patients still experience a high volume of opioid prescriptions and greater risk of OUD diagnosis. Racial/ethnic minorities are less likely to receive follow-up pain medications, which may signal low care quality. Identifying provider bias in pain management of racial/ethnic minorities could inform interventions seeking balance between adequate pain treatment and risk of opioid misuse/abuse.

Oral Health Screening by MassHealth Accountable Care Organizations: An opportunity for equity-focused interventions.

Establishing reliable access to dental services for publicly insured patients is an important part of achieving equitable oral health care. In 2023, an oral health screening requirement was added to the MassHealth Accountable Care Organization contract, which has the capacity to affect over 1.3 million members enrolled in MassHealth Accountable Care Organizations throughout the state. The goal of the oral health screening requirement is to identify MassHealth-insured patients who do not have reliable access to dental services and to provide them with resources to establish a dental home with a MassHealth-participating dentist. Primary care providers were surveyed, and results indicate a need for a care coordination mechanism to assist MassHealth-insured patients with establishing a dental home, in addition to an option to request telehealth-enabled and/or urgent dental appointments. This report describes the oral health screening program at one MassHealth Accountable Care Organization and presents some of the data collected during the first year of its implementation, in addition to discussing how this data is being used to guide equity-focused interventions with the potential for policy implications.

Collaborative Care for Depression and Anxiety: Racial-Ethnic Differences in Treatment Engagement and Outcomes.

OBJECTIVE: This study aimed to examine racial-ethnic differences in engagement with and clinical outcomes of a collaborative care model (CoCM) implemented in primary care outpatient clinics in an urban academic medical center. METHODS: Adult patients (N=4,911) who screened positive for symptoms of depression, anxiety, or both on the Patient Health Questionnaire-9 or the Generalized Anxiety Disorder-7 scale and who identified as non-Hispanic Black, Hispanic, or non-Hispanic White were offered participation in a CoCM implementation. The primary outcome was treatment engagement, defined as receipt of any follow-up visit, minimally adequate 4-week follow-up (at least one visit), and minimally adequate 16-week follow-up (at least three visits) after initial assessment. Secondary outcomes were response and remission of depression or anxiety. RESULTS: After adjustment of analyses for sociodemographic covariates, Black and Hispanic participants were significantly less likely than White participants to have received any or minimally adequate follow-up. Black and Hispanic participants who received any or minimally adequate 16-week follow-up were more likely than White participants to demonstrate depression symptom response and remission of anxiety symptoms. CONCLUSIONS: This CoCM implementation appears to have been effective in treating depression and anxiety among Black and Hispanic patients. However, significant disparities in receipt of follow-up care were observed. Efforts must be made to improve the retention of patients from racial-ethnic minority groups in collaborative care.

Self-Pay Outpatient Mental Health Care for Children and Adolescents, by Socioeconomic Status.

OBJECTIVE: Many parents struggle to find mental health care for their children, and many mental health clinicians do not accept insurance payments. The authors aimed to estimate the frequency and cost of self-pay psychotherapy and psychotropic medication management visits for youths and to determine how service use varies by family income. METHODS: A descriptive cross-sectional analysis was performed among youths ages 5-17 years in the 2018-2020 Medical Expenditure Panel Survey. Specialist visits included those with psychiatrists, psychologists, social workers, and mental health counselors or family therapists. RESULTS: Approximately one in five of 13,639 outpatient mental health specialist visits were self-pay, with psychologists (23% of visits) and social workers (24% of visits) most likely to see youths on a self-pay basis. Use of self-pay care was strongly associated with higher income, but even families earning <$28,000 per year utilized some self-pay care, at a median cost of $95 per visit. Self-pay visits were associated with slightly lower clinical need than insurance-covered visits, although this measure varied by income. CONCLUSIONS: The self-pay market for child mental health care potentially exacerbates inequities in access to care by burdening low-income families with high costs. Incentivizing mental health providers to participate in insurance for larger portions of their patient panels, for example, by increasing reimbursement rates and reducing paperwork, may help improve equitable access to mental health care. To the extent that reimbursement rates drive insurance acceptance, the frequency of self-pay mental health visits suggests that mental health services are underreimbursed relative to their benefit to patients and families.

Persistent Disparities: Trends in Rates of Sheltered Homelessness Across Demographic Subgroups in the USA.

CONTEXT: Homelessness is a public health crisis affecting millions of Americans every year, with severe consequences for health ranging from infectious diseases to adverse behavioral health outcomes to significantly higher all-cause mortality. A primary constraint of addressing homelessness is a lack of effective and comprehensive data on rates of homelessness and who experiences homelessness. While other types of health services research and policy are based around comprehensive health datasets to successfully evaluate outcomes and link individuals with services and policies, there are few such datasets that report homelessness. METHODS: Gathering archived data from the US Department of Housing and Urban Development, we created a unique dataset of annual rates of homelessness, nationally, as measured by persons accessing homeless shelter systems, for 11 years (2007-2017, including the Great Recession and prior to the start of the 2020 pandemic). Responding to the need to measure and address racial and ethnic disparities in homelessness, the dataset reports annual rates of homelessness across HUD selected, Census-based racial and ethnic categories. FINDINGS: Between 2007 and 2017, across all types of sheltered homelessness, whether individual, family, or total, Black, American Indian or Alaska Native, and Native Hawaiian and Pacific Islander individuals and families were far more likely to experience homelessness than non-Hispanic White individuals and families. Particularly concerning about the rates of homelessness among these populations is the persistent and increasing nature of these disparities across the entire study period. CONCLUSIONS: While homelessness is a public health problem, the hazard of experiencing homelessness is not uniformly distributed across different populations. Because homelessness is such a strong social determinant of health and risk factor across multiple health domains, it deserves the same careful annual tracking and evaluation by public health stakeholders as other areas of health and health care.

Examining Racial/Ethnic Disparities in Tobacco Dependence Treatment Among Medicaid Beneficiaries Using Fifty State Medicaid Claims, 2009-2014.

In the USA, low-income racial/ethnic minority groups experience higher smoking rates and greater smoking-related disease burden than their White counterparts. Despite the adverse effects, racial/ethnic minorities are less likely to access tobacco dependence treatment (TDT). Medicaid is one of the largest payers of TDT in the USA and covers predominantly low-income populations. The extent of TDT use among beneficiaries from distinct racial/ethnic groups is unknown. The objective is to estimate racial/ethnic differences in TDT use among Medicaid fee-for-service beneficiaries. Using a retrospective study design and 50 state (including the District of Columbia) Medicaid claims (2009-2014), we employed multivariable logistic regression models and predictive margin methods to estimate TDT use rates among adults (18-64) enrolled (≥ 11 months) in Medicaid fee-for-service programs (January 2009-December 2014) by race/ethnicity. The population included White (n = 6,536,004), Black (n = 3,352,983), Latinx (n = 2,264,647), Asian (n = 451,448), and Native American/Alaskan Native (n = 206,472) beneficiaries. Dichotomous outcomes reflected service use in the past year. Any TDT use was operationalized as any smoking cessation medication fill, any smoking cessation counseling visit, or any smoking cessation outpatient visit. In secondary analyses, we disaggregated TDT use into three separate outcomes. Results suggested that Black (10.6%; 95% CI = 9.9-11.4%), Latinx (9.5%; 95% CI = 8.9-10.2%), Asian (3.7%; 95% CI = 3.4-4.1%), and Native American/Alaskan Native (13.7%; 95% CI = 12.7-14.7%) beneficiaries had lower TDT use rates compared to White beneficiaries (20.6%). Similar racial/ethnic treatment disparities were identified across all outcomes. By identifying significant racial/ethnic disparities in TDT use between 2009 and 2014, this study provides a benchmark against which to measure recent interventions in state Medicaid programs improving equity in smoking cessation interventions.

Association between electronic nicotine product use and subsequent first episode psychosis.

Tobacco use has been established as a possible risk factor for psychosis, but the effect of electronic nicotine delivery systems (ex. nicotine vapes) has not been independently established. Using the Population Assessment of Tobacco and Health study, we found that use of electronic nicotine products was significantly associated with later first episode psychosis after controlling for substance use and other confounders, and that this relationship was only significant among the heaviest users (>20 puffs/day). Given the rapid rise in electronic nicotine products use, clinicians and public health professionals should consider potential impacts and closely monitor trends in the coming years.

Associations between vaping and daily cigarette consumption among individuals with psychological distress.

INTRODUCTION: Individuals with behavioral health conditions smoke at significantly higher rates and have been resistant to existing smoking cessation efforts. A clearer understanding of associations between vaping and daily cigarette consumption in this vulnerable population is warranted. METHODS: We analyzed data from the 2014-2018 National Health Interview Survey (NHIS) to examine whether vaping was associated with differences in number of cigarettes smoked per day (CPD) among adults who smoke daily and have varying levels of psychological distress. RESULTS: After adjustment for sociodemographic covariates, individuals who vaped every day smoked on average 1.48 fewer cigarettes per day than individuals who never vaped (p<0.01), while individuals who vaped some days and individuals who ever but no longer vaped smoked 0.77 and 1.48 more CPD, respectively, than individuals who never vaped. Differences between those who vaped every day and those who never vaped were even greater among those with moderate psychological distress (-2.21 CPD, p<0.01). CONCLUSIONS: Our findings suggest that use of vaping devices may be associated with lower daily cigarette use among individuals with psychological distress, potentially supporting smoking harm reduction efforts.

Predictors of relapse and engagement in care one year after ending services in an urban safety net coordinated specialty care program for first episode psychosis.

OBJECTIVE: This study aimed to identify risk factors for relapse (psychiatric emergency department visits or hospitalization) and lack of follow-up with outpatient psychiatric care in the 12 months after ending services in an urban safety net coordinated specialty care (CSC) program for first episode psychosis (FEP). METHODS: The study population (n = 143) were individuals with FEP who had any CSC care between 2014 and 2021. To identify risk factors for relapse and follow up after exit, multivariable logistic regression was performed using data from electronic health records and linked insurance claims data. RESULTS: Individuals with any emergency department visit or hospitalization 12 months prior to ending CSC (aOR = 4.69, 95 % CI 1.78-12.34) and those who were using cannabis at last CSC contact (aOR = 4.06, 95 % CI 1.56-10.56) had a higher risk of relapse after ending CSC services. Cannabis use at last contact was also associated with lower rates of outpatient psychiatric follow-up (aOR = 0.32, 95 % CI 0.12-0.94), while CSC duration in months had a small positive association with post-CSC psychiatric follow-up. There were no differences in relapse or follow-up by race or ethnicity, primary diagnosis, or medication usage. CONCLUSIONS: Prior relapse during CSC predicted relapse in the 12 months after ending CSC services, but not outpatient follow up. Cannabis use predicted both a higher rate of relapse and a lower rate of follow up after ending services. There were no differences by race or ethnicity in our sample, suggesting that once individuals engaged in FEP care there were no evident disparities in the observed outcomes.

Predicting adolescent suicidal behavior following inpatient discharge using structured and unstructured data.

BACKGROUND: The objective was to develop and assess performance of an algorithm predicting suicide-related ICD codes within three months of psychiatric discharge. METHODS: This prognostic study used a retrospective cohort of EHR data from 2789 youth (12 to 20 years old) hospitalized in a safety net institution in the Northeastern United States. The dataset combined structured data with unstructured data obtained through natural language processing of clinical notes. Machine learning approaches compared gradient boosting to random forest analyses. RESULTS: Area under the ROC and precision-recall curve were 0.88 and 0.17, respectively, for the final Gradient Boosting model. The cutoff point of the model-generated predicted probabilities of suicide that optimally classified the individual as high risk or not was 0.009. When applying the chosen cutoff (0.009) to the hold-out testing set, the model correctly identified 8 positive cases out of 10, and 418 negative cases out 548. The corresponding performance metrics showed 80 % sensitivity, 76 % specificity, 6 % PPV, 99 % NPV, F-1 score of 0.11, and an accuracy of 76 %. LIMITATIONS: The data in this study comes from a single health system, possibly introducing bias in the model's algorithm. Thus, the model may have underestimated the incidence of suicidal behavior in the study population. Further research should include multiple system EHRs. CONCLUSIONS: These performance metrics suggest a benefit to including both unstructured and structured data in design of predictive algorithms for suicidal behavior, which can be integrated into psychiatric services to help assess risk.

Share of Adult Suicides After Recent Jail Release.

Importance: Although people released from jail have an elevated suicide risk, the potentially large proportion of this population in all adult suicides is unknown. Objective: To estimate what percentage of adults who died by suicide within 1 year or 2 years after jail release could be reached if the jail release triggered community suicide risk screening and prevention efforts. Design, Setting, and Participants: This cohort modeling study used estimates from meta-analyses and jail census counts instead of unit record data. The cohort included all adults who were released from US jails in 2019. Data analysis and calculations were performed between June 2021 and February 2024. Main Outcomes and Measures: The outcomes were percentage of total adult suicides within years 1 and 2 after jail release and associated crude mortality rates (CMRs), standardized mortality ratios (SMRs), and relative risks (RRs) of suicide in incarcerated vs not recently incarcerated adults. Taylor expansion formulas were used to calculate the variances of CMRs, SMRs, and other ratios. Random-effects restricted maximum likelihood meta-analyses were used to estimate suicide SMRs in postrelease years 1 and 2 from 10 jurisdictions. Alternate estimate was computed using the ratio of suicides after release to suicides while incarcerated. Results: Included in the analysis were 2019 estimates for 7 091 897 adults (2.8% of US adult population; 76.7% males and 23.3% females) who were released from incarceration at least once, typically after brief pretrial stays. The RR of suicide was 8.95 (95% CI, 7.21-10.69) within 1 year after jail release and 6.98 (95% CI, 4.21-9.76) across 2 years after release. A total of 27.2% (95% CI, 18.0%-41.7%) of all adult suicide deaths occurred in formerly incarcerated individuals within 2 years of jail release, and 19.9% (95% CI, 16.2%-24.1%) of all adult suicides occurred within 1 year of release (males: 23.3% [95% CI, 20.8%-25.6%]; females: 24.0% [95% CI, 19.7%-36.8%]). The alternate method yielded slightly larger estimates. Another 0.8% of adult suicide deaths occurred during jail stays. Conclusions and Relevance: This cohort modeling study found that adults who were released from incarceration at least once make up a large, concentrated population at greatly elevated risk for death by suicide; therefore, suicide prevention efforts focused on return to the community after jail release could reach many adults within 1 to 2 years of jail release, when suicide is likely to occur. Health systems could develop infrastructure to identify these high-risk adults and provide community-based suicide screening and prevention.

Criminal Legal Involvement Among U.S. Adults With Serious Psychological Distress and Differences by Race-Ethnicity.

OBJECTIVE: The authors examined associations between criminal legal involvement (CLI) and serious psychological distress and how these associations differed by racial-ethnic group. METHODS: The authors conducted a retrospective analysis of multiple cross-sections of data from the National Survey on Drug Use and Health (2015-2019) and used multivariable linear probability regression models to assess lifetime CLI and past-year probation, parole, supervised release, or other conditional release in a nationally representative sample of noninstitutionalized U.S. adults, ages ≥18 years (N=214,505), with and without serious psychological distress. RESULTS: Adults with serious psychological distress had higher rates of CLI than adults without such distress (difference of 4.1 percentage points, 95% CI=3.3-4.8, p<0.001). The rate of CLI increased as distress severity increased, from mild (3.2 percentage-point difference, 95% CI=2.6-3.8, p<0.001) to high (7.2 percentage-point difference, 95% CI=6.4-8.0, p<0.001). The risk for CLI among those with serious psychological distress was even greater for Black and Latinx adults than for White adults (1.8 percentage-point difference, 95% CI=0.1-3.5, p<0.05, and 3.2 percentage-point difference, 95% CI=1.3-5.2, p<0.01, respectively). CONCLUSIONS: Rates of CLI were higher for adults with serious psychological distress. Efforts are needed to equitably triage individuals with acute mental health needs to timely psychiatric care instead of carceral settings. Collaborative models of care that commingle resources from mental health and law enforcement organizations are needed to prevent unnecessary incarceration of individuals experiencing mental health crises and to increase access to community-based treatment.