Trends and Disparities in Mental Health Use Among Asian American Sub-groups, 2013-2019.

OBJECTIVE: The objective of this study was to characterize and compare national estimates of mental healthcare use among White and Asian American groups to provide an update using post Affordable Care Act data. METHODS: We analyzed yearly cross-sectional data from the 2013-2019 Medical Expenditure Panel Survey, including White (n = 112,590) and Asian American (n = 10,210) individuals, and examined rates of mental healthcare use for Asian (overall), Asian Indian, Chinese, Filipino, and Other Asian individuals relative to White individuals. Using multivariable logistic regression models and predictive margin methods, we estimated overall Asian disparities and Asian subgroup disparities compared to White group rates in mental health care (outpatient, specialty, psychotropic medication) among adults with and without elevated risk for mental illness. Regression models were adjusted for variables related to need for treatment, demographic, and socioeconomic status variables. RESULTS: Asian individuals had lower rates of mental healthcare use than White individuals. Unadjusted results and adjusted regression model predictions are consistent in identifying wide disparities in mental health care treatment across risk for mental illness, Asian subgroups, and types of treatment. CONCLUSIONS: Asian Americans have significantly lower rates of mental healthcare use than White Americans, even among those with elevated risk for mental illness. There is small variation by Asian subgroups but disparities persist across subgroups and types of treatment. Our results imply interventions are needed to improve linguistically, culturally, and ethnically tailored outreach and engagement in treatment services, as well as examining treatment and its effectiveness for Asian American individuals living with psychological distress.

Eliciting patient past experiences of healthcare discrimination as a potential pathway to reduce health disparities: A qualitative study of primary care staff.

OBJECTIVE: To understand whether and how primary care providers and staff elicit patients' past experiences of healthcare discrimination when providing care. DATA SOURCES/STUDY SETTING: Twenty qualitative semi-structured interviews were conducted with healthcare staff in primary care roles to inform future interventions to integrate data about past experiences of healthcare discrimination into clinical care. STUDY DESIGN: Qualitative study. DATA COLLECTION/EXTRACTION METHODS: Data were collected via semi-structured qualitative interviews between December 2018 and January 2019, with health care staff in primary care roles at a hospital-based clinic within an urban safety-net health system that serves a patient population with significant racial, ethnic, and linguistic diversity. PRINCIPAL FINDINGS: Providers did not routinely, or in a structured way, elicit information about past experiences of healthcare discrimination. Some providers believed that information about healthcare discrimination experiences could allow them to be more aware of and responsive to their patients' needs and to establish more trusting relationships. Others did not deem it appropriate or useful to elicit such information and were concerned about challenges in collecting and effectively using such data. CONCLUSIONS: While providers see value in eliciting past experiences of discrimination, directly and systematically discussing such experiences with patients during a primary care encounter is challenging for them. Collecting this information in primary care settings will likely require implementation of multilevel systematic data collection strategies. Findings presented here can help identify clinic-level opportunities to do so.

Ethnoracial Differences in Social Determinants of Health and Acute Mental Health Symptoms Among Adults Hospitalized After Emergency Care.

Research has established relationships between social determinants of health (SDOH) and mental health, with mixed findings on which ethnoracial groups are most vulnerable to deleterious outcomes. The current study examines ethnoracial differences in SDOH and their associations with acute mental health symptoms among patients hospitalized after emergency care. Using data collected in a multi-site study of 1,318 diverse adults admitted to inpatient units, we performed analyses using linear regression models. Findings show that Multiracial/Indigenous and Black adults had significantly higher discrimination and financial stress scores. However, compared with White adults, the positive association between extreme discrimination and acute mental health symptoms was diminished among Latinx (B=-2.3; p=.02) and Black individuals (B=-1.6; p=.05) as was the positive association between financial insecurity and acute mental health symptoms for Black adults (B=-2.3; p=.04). This study provides evidence of differential experiences of SDOH and mental health challenges that may warrant tailored interventions.

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.

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.

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.

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.

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.

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.

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.

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 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.

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 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.

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.

Racial and Ethnic Disparities in COVID-19-Related Stressor Exposure and Adverse Mental Health Outcomes Among Health Care Workers.

OBJECTIVE: Racial and ethnic disparities in exposure to COVID-19-related stressors, pandemic-related distress, and adverse mental health outcomes were assessed among health care workers in the Bronx, New York, during the first wave of the pandemic. METHODS: The authors analyzed survey data from 992 health care workers using adjusted logistic regression models to assess differential prevalence of outcomes by race/ethnicity and their interactions. RESULTS: Compared with their White colleagues, Latinx, Black, Asian, and multiracial/other health care workers reported significantly higher exposure to multiple COVID-19-related stressors: redeployment, fear of being sick, lack of autonomy at work, and inadequate access to personal protective equipment. Endorsing a greater number of COVID-19-related stressors was associated with pandemic-related distress in all groups and with adverse mental health outcomes in some groups; it was not related to hazardous alcohol use in any of the groups. These associations were not significantly different between racial and ethnic groups. Latinx health care workers had significantly higher probabilities of pandemic-related distress and posttraumatic stress than White colleagues. Despite greater exposure to COVID-19-related stressors, Black, Asian, and multiracial/other health care workers had the same, if not lower, prevalence of adverse mental health outcomes. Conversely, White health care workers had a higher adjusted prevalence of moderate to severe anxiety compared with Asian colleagues and greater hazardous alcohol use compared with all other groups. CONCLUSIONS: Health care workers from racial and ethnic minority groups reported increased exposure to COVID-19-related stressors, suggestive of structural racism in the health care workforce. These results underscore the need for increased support for health care workers and interventions aimed at mitigating disparities in vocational exposure to risk and stress.

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.

Coverage Parity And Racial And Ethnic Disparities In Mental Health And Substance Use Care Among Medicare Beneficiaries.

Many older Americans do not receive needed care for mental health and substance use disorders (MHSUD), and there are substantial racial and ethnic disparities in receipt of this care across the lifespan. Medicare introduced cost-sharing parity for outpatient MHSUD care during the period 2010-14, reducing beneficiaries' out-of-pocket share of MHSUD spending from 50 percent to 20 percent. Among traditional Medicare beneficiaries ages sixty-five and older, we examined changes in MHSUD use and spending during the period 2008-18 for low-income beneficiaries with the cost-sharing reduction versus a control group of beneficiaries with free care throughout the study period among Black, Hispanic, Asian, and American Indian/Alaska Native versus White beneficiaries. Among older Medicare beneficiaries, overall use of MHSUD services increased during this period. For White beneficiaries, MHSUD cost-sharing parity was associated with an increased likelihood of having specialty MHSUD visits and medication use and a reduced likelihood of having unmonitored MHSUD medication use and MHSUD emergency department visits and hospitalizations. However, cost-sharing parity was associated with smaller or no gains in MHSUD services use for racial and ethnic minority beneficiaries compared with White beneficiaries, thus widening racial and ethnic disparities in MHSUD care.