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More than one-third of the approximately two million people entering publicly funded substance abuse treatment in the United States do not complete treatment. Additionally, racial and ethnic minorities with addiction disorders, who constitute approximately 40 percent of the admissions in publicly funded substance abuse treatment programs, may be particularly at risk for poor outcomes. Using national data, we found that blacks and Hispanics were 3.5-8.1 percentage points less likely than whites to complete treatment for alcohol and drugs, and Native Americans were 4.7 percentage points less likely to complete alcohol treatment. Only Asian Americans fared better than whites for both types of treatment. Completion disparities for blacks and Hispanics were largely explained by differences in socioeconomic status and, in particular, greater unemployment and housing instability. However, the alcohol treatment disparity for Native Americans was not explained by socioeconomic or treatment variables, a finding that warrants further investigation. The Affordable Care Act could reduce financial barriers to treatment for minorities, but further steps, such as increased Medicaid funding for residential treatment and better cultural training for providers, would improve the likelihood of completing treatment and increase treatment providers' cultural competence. Adapted from the source document.

The Affordable Care Act (ACA) required that insurers allow people ages 19-25 to remain as dependents on their parents' health insurance beginning in 2010. Using data from the 2008-12 National Survey of Drug Use and Health, we examined the impact of the ACA dependent coverage provision on people ages 18-25 with possible mental health or substance use disorders. We found that after implementation of the ACA provision, among people ages 18-25 with possible mental health disorders, mental health treatment increased by 5.3 percentage points relative to a comparison group of similar people ages 26-35. Smaller, but consistent, effects were found among all young adults, not only those with possible illnesses. For people using mental health treatment, uninsured visits declined by 12.4 percentage points, and visits paid by private insurance increased by 12.9 percentage points. We observed no changes in mental health treatment setting. Outcomes related to substance abuse treatment did not change during the study period. The dependent coverage provision can contribute to a broader strategy for improving behavioral health treatment for young adults.

The rapid proliferation of machine learning research using electronic health records to classify healthcare outcomes offers an opportunity to address the pressing public health problem of adolescent suicidal behavior. We describe the development and evaluation of a machine learning algorithm using natural language processing of electronic health records to identify suicidal behavior among psychiatrically hospitalized adolescents. Adolescents hospitalized on a psychiatric inpatient unit in a community health system in the northeastern United States were surveyed for history of suicide attempt in the past 12 months. A total of 73 respondents had electronic health records available prior to the index psychiatric admission. Unstructured clinical notes were downloaded from the year preceding the index inpatient admission. Natural language processing identified phrases from the notes associated with the suicide attempt outcome. We enriched this group of phrases with a clinically focused list of terms representing known risk and protective factors for suicide attempt in adolescents. We then applied the random forest machine learning algorithm to develop a classification model. The model performance was evaluated using sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy. The final model had a sensitivity of 0.83, specificity of 0.22, AUC of 0.68, a PPV of 0.42, NPV of 0.67, and an accuracy of 0.47. The terms mostly highly associated with suicide attempt clustered around terms related to suicide, family members, psychiatric disorders, and psychotropic medications. This analysis demonstrates modest success of a natural language processing and machine learning approach to identifying suicide attempt among a small sample of hospitalized adolescents in a psychiatric setting.

Before the implementation of cost-sharing parity in Medicare, beneficiaries faced higher cost sharing for mental health services than for other medical services. The Medicare Improvements for Patients and Providers Act of 2008 phased in cost-sharing reductions in Medicare for outpatient mental health services in the period 2010-14. Using data for 2006-15 from the Medical Expenditure Panel Survey and difference-in-differences analyses, we assessed whether this reduction in mental health cost sharing was associated with changes in specialty and primary care outpatient mental health visits and psychotropic medication fills. We compared people with Medicare and with private insurance before and after parity implementation. Medicare beneficiaries' use of psychotropic medication increased after the implementation of cost-sharing parity, but we did not detect a change in visits. changes in the use of psychotropic medications were greater among people with probable serious mental illness and among Medicare beneficiaries who did not report having supplemental coverage. The increased medication use could signal improvements in mental health care access among Medicare beneficiaries, especially among the subgroups most likely to benefit from the policy change.

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.

People with serious mental illnesses, particularly members of racial and ethnic minority groups, are rarely included in prioritizing research topics or developing the tools and measures important for improving their care. Community-based participatory research holds promise toward reducing mental health disparities. However, initiating research partnerships with community stakeholders is challenging and does not always lead to sustainable community health improvements. Using lessons learned from a project to improve understanding of patients' preferences and discrimination in depression and diabetes treatment, we describe barriers and facilitators to initiating a meaningful partnership with disenfranchised groups. Barriers fell within four domains: trepidation of community stakeholders, complex research methods, uncertainty among academic partners, and unclear partnership decision-making protocols. Primary facilitators included the meaningfulness of the research topic to the community, the presence of a well-established community-based organization, academic financial investment, co-learning activities, and flexibility. Successful initiation of these partnerships holds significant potential for addressing health care disparities.

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.

This cross-sectional study examines trends in the number of psychiatrists and psychiatric mental health nurse practitioners overall and for Medicare beneficiaries from 2013 to 2019.

The Affordable Care Act (ACA) allowed employer plans in the small-group marketplace to charge tobacco users up to 50 percent more for premiums-known as tobacco surcharges-but only if the employer offered a tobacco cessation program and the employee in question failed to participate in it. Using 2016 survey data collected by the Henry J. Kaiser Family Foundation and Health Research and Educational Trust on 278 employers eligible for Small Business Health Options Program, we examined the prevalence of tobacco surcharges and tobacco cessation programs in the small-group market under this policy and found that 16.2 percent of small employers used tobacco surcharges. Overall, 47 percent of employers used tobacco surcharges but failed to offer tobacco cessation counseling. Wellness program prevalence was lower in states that allowed tobacco surcharges, and 10.8 percent of employers in these states were noncompliant with the ACA by charging tobacco users higher premiums without offering cessation programs. Efforts should be undertaken to improve the monitoring and enforcement of ACA tobacco rating rules.