Differences in BMI between Mexican and Colombian patients receiving antipsychotics: results from the International Study of Latinos on Antipsychotics (ISLA).

Objective: The objective of this study is to examine the association of country of residence with body mass index (BMI) between Mexican and Colombian patients exposed to antipsychotics. We hypothesize that there will be a significant association between country of residence and BMI and that Mexican patients will have higher BMI than their Colombian counterparts.Design: The International Study of Latinos on Antipsychotics (ISLA) is a multisite, international, cross sectional study of adult Latino patients exposed to antipsychotics in two Latin American Countries (i.e. Mexico and Colombia). Data were collected from a total of 205 patients (149 from Mexico and 56 from Colombia). The sites in Mexico included outpatient clinics in Mexicali, Monterrey and Tijuana. In Colombia, data were collected from outpatient clinics in Bogotá. For this study we included patients attending outpatient psychiatric community clinics that received at least one antipsychotic (new and old generation) for the last 3 months. A linear regression model was used to determine the association of country of residence with BMI for participants exposed to an antipsychotic.Results: After controlling for demographics, behaviors, biological and comorbid psychiatric variables, there was a significant difference between Colombia vs. Mexico in the BMI of patients exposed to antipsychotics (ß = 4.9; p < 0.05).Conclusion: Our hypotheses were supported. These results suggest that differences in BMI in patients exposed to antipsychotics in Mexico and Colombia may reflect differences in prevalence of overweight/obesity at the population level in the respective countries, and highlights the involvement of other risk factors, which may include genetics.

Understanding the Role of Past Health Care Discrimination in Help-Seeking and Shared Decision-Making for Depression Treatment Preferences.

As a part of a larger, mixed-methods research study, we conducted semi-structured interviews with 21 adults with depressive symptoms to understand the role that past health care discrimination plays in shaping help-seeking for depression treatment and receiving preferred treatment modalities. We recruited to achieve heterogeneity of racial/ethnic backgrounds and history of health care discrimination in our participant sample. Participants were Hispanic/Latino (n = 4), non-Hispanic/Latino Black (n = 8), or non-Hispanic/Latino White (n = 9). Twelve reported health care discrimination due to race/ethnicity, language, perceived social class, and/or mental health diagnosis. Health care discrimination exacerbated barriers to initiating and continuing depression treatment among patients from diverse backgrounds or with stigmatized mental health conditions. Treatment preferences emerged as fluid and shaped by shared decisions made within a trustworthy patient-provider relationship. However, patients who had experienced health care discrimination faced greater challenges to forming trusting relationships with providers and thus engaging in shared decision-making processes.

A decline in depression treatment following FDA antidepressant warnings largely explains racial/ethnic disparities in prescription fills.

BACKGROUND: The Food and Drug Administration's 2004 antidepressant warning was followed by decreases in antidepressant prescribing for youth. This was due to declines in all types of depression treatment, not just the intended changes in antidepressant prescribing patterns. Little is known about how these patterns varied by race/ethnicity. METHOD: Data are Medicaid claims from four U.S. states (2002-2009) for youth ages 5-17. Interrupted time series analyses measured changes due to the warning in levels and trends, by race/ethnicity, of three outcomes: antidepressant prescription fills, depression treatment visits, and incident fluoxetine prescription fills. RESULTS: Prewarning, antidepressant fills were increasing across all racial/ethnic groups, fastest for White youth. Postwarning, there was an immediate drop and continued decline in the rate of fills among White youth, more than double the decline in the rate among Black and Latino youth. Prewarning, depression treatment visits were increasing for White and Latino youth. Postwarning, depression treatment stabilized among Latinos, but declined among White youth. Prewarning, incident fluoxetine fills were increasing for all groups. Postwarning, immediate increases and increasing trends of fluoxetine fills were identified for all groups. CONCLUSIONS: Antidepressant prescription fills declined most postwarning for White youth, suggesting that risk information may have diffused less rapidly to prescribers or caregivers of minorities. Decreases in depression treatment visits help to explain the declines in antidepressant prescribing and were largest for White youth. An increase in incident fluoxetine fills, the only medication indicated for pediatric depression at the time, suggests that the warning may have shifted prescribing practices.

Effects of live-online, group mindfulness training on opioid use and anxiety during buprenorphine treatment: A comparative effectiveness RCT.

BACKGROUND: Office-based opioid treatment with buprenorphine has emerged as a popular evidence-based treatment for opioid use disorder. Unfortunately, psychosocial stress, anxiety, pain, and co-morbid substance use increase patients' risk for relapse. We designed this study to compare the effects of complementing buprenorphine treatment with 24 weeks of a live-online Mindful Recovery Opioid Care Continuum (M-ROCC) group to a time and attention-matched, live-online Recovery Support Group (RSG) active control condition. METHODS: We plan to enroll a maximum of N = 280 and randomize at least N = 192 patients prescribed buprenorphine through referrals from office-based and telemedicine buprenorphine treatment providers and social media advertisements. Participants will be randomly assigned to M-ROCC or RSG and will be blinded to their treatment condition. The primary outcome for this study will be biochemically confirmed periods of abstinence from illicit opioids, as measured by self-reported use and randomly collected, video-observed oral fluid toxicology testing during the final 12 weeks of study participation. Secondary outcomes include changes in Patient-Reported Outcomes Measurement Information System (PROMIS) anxiety and pain interference scores between baseline and week 24. RESULTS: The trial was funded by the National Institutes of Health, HEAL Initiative through NCCIH (R33AT010125). Data collection is projected to end by September 2023, and we expect publication of results in 2024. CONCLUSION: If the M-ROCC intervention is found to be effective in this format, it will demonstrate that live-online mindfulness groups can improve outcomes and address common co-morbidities like anxiety and pain during buprenorphine treatment.

Estimates of Major Depressive Disorder and Treatment Among Adolescents by Race and Ethnicity.

Importance: The COVID-19 pandemic has contributed to poorer mental health and a greater need for treatment. Nationally representative estimates of major depressive disorder (MDD) and mental health treatment among US adolescents during the pandemic are needed. Objective: To estimate MDD prevalence among adolescents, evaluate mental health treatment use among adolescents with MDD, and assess differences by race and ethnicity. Design, Setting, and Participants: This cross-sectional analysis of the nationally representative 2021 National Survey on Drug Use and Health included noninstitutionalized US adolescents between the ages of 12 and 17 years (n = 10 743). Analytic weights were applied to all rates and model estimates to be nationally representative and account for sample design and survey nonresponse. Data were collected from January 14 to December 20, 2021, and analyzed from February 11 to April 3, 2023. Exposures: Self-reported race and ethnicity. Main Outcomes and Measures: Dichotomous outcomes of MDD as defined by the Diagnostic and Statistical Manual of Mental Disorders (Fifth Edition), MDD-specific mental health treatment, any type of mental health treatment, telehealth visits, and delays in mental health treatment. Results: The sample included 10 743 adolescents (51.1% male). Self-reported race and ethnicity included 5.1% Asian, 14.1% Black, 23.3% Latinx, 51.2% White, and 6.3% more than 1 race. Ages were evenly distributed: 34.0% aged 12 to 13 years; 33.3% aged 14 to 15 years; and 32.7% aged 16 to 17 years. Adolescents of more than 1 race or ethnicity had the highest MDD rate (26.5%). Compared with White adolescents, the lowest rates of any MDD treatment overall were found among Latinx adolescents (29.2% [95% CI, 22.2%-36.2%]) and those of more than 1 race or ethnicity (21.1% [95% CI, 11.6%-30.7%]). Similar results were found for treatment by any clinician (Latinx, 25.6% [95% CI, 18.8%-32.4%]; >1 race or ethnicity, 19.1% [95% CI, 9.7%-28.6%]), treatment by a mental health specialist (Latinx, 22.9% [95% CI, 16.9%-28.9%]; >1 race or ethnicity, 16.7% [95% CI, 7.1%-26.3%]), treatment by a nonspecialist clinician (Latinx, 7.3% [95% CI, 3.3%-11.3%]; >1 race or ethnicity, 4.8% [95% CI, 1.9%-7.7%]), and use of any psychotropic medication prescription (Latinx, 11.6% [95% CI, 7.3%-15.9%]; >1 race or ethnicity, 8.3% [95% CI, 2.8%-13.7]). Compared with White adolescents, Black adolescents had lower rates of MDD treatment by any clinician (31.7% [95% CI, 23.7%-39.8%]) and by nonspecialist clinicians (8.4% [95% CI, 3.8%-13.2%]) and experienced lower prescription rates for any psychotropic medication (12.6 [95% CI, 4.6%-20.6%]). Asian (16.0% [95% CI, 5.0%-27.2%]) and Latinx (17.8% [95% CI, 12.6%-23.0%]) adolescents had lower rates of virtual mental health treatment compared with White adolescents. Black (19.1% [95% CI, 14.1%-24.2%]) and Latinx (17.9% [95% CI, 15.0%-21.1%]) adolescents had lower rates of appointments transition to telehealth, while Black adolescents (14.1% [95% CI, 10.7%-17.4%]) experienced delays getting their prescriptions. Conclusions and Relevance: During the first full calendar year of the pandemic, approximately 1 in 5 adolescents had MDD, and less than half of adolescents who needed treatment had any mental health treatment. Adolescents in racial and ethnic minority groups, particularly Latinx, experienced the lowest treatment rates. Federal policy should target adolescents as a whole, and minority populations in particular, to ensure equitable treatment access. Efforts should consider the social, racial, ethnic, and cultural determinants of health.

Impact of warm mindfulness on emotion regulation: A randomized controlled effectiveness trial.

OBJECTIVE: To determine the effects of mindfulness training for primary care (MTPC), an integrated warm mindfulness training program, on emotion regulation and its relationship with health behavior change. Interventions that improve self-regulation, particularly emotion regulation, are needed for the self-management of comorbid chronic physical and mental illnesses. Mindfulness-based interventions (MBIs) may impact self-regulation and facilitate health behavior change. METHOD: A randomized controlled comparative effectiveness trial was conducted in a population of adult primary care patients to evaluate the impact of MTPC versus a low-dose mindfulness comparator (LDC) on self-reported difficulties in emotion regulation (DERS) total score and other assays of self-regulation at baseline, Weeks 8 and 24. Self-reported action plan initiation was reported between Weeks 8 and 10. Participants had diagnoses of anxiety, depression, or stress-related disorders. MTPC is an 8-week insurance-reimbursable warm MBI designed to cultivate mindfulness and self-compassion and to catalyze chronic illness self-management related health behavior change. RESULTS: Compared to LDC, MTPC participants had statistically significant reductions in DERS total score at 8 weeks (d = -0.59, ß = -12.98, 95% CI [-23.3 to -2.6]; p = .01) and 24 weeks (d = -0.61, ß = -13.35, [-24.3, -2.4]; p = .02). Compared to 38% for LDC, 63% of MTPC participants successfully initiated their action plan within 3 weeks (OR = 2.87, [1.1, 7.9]; p = .04). CONCLUSIONS: This randomized controlled trial demonstrated MTPC enhanced emotion regulation and facilitated initiation of chronic illness self-management and health behavior change among primary care patients with anxiety, depression, and stress-related disorders, replicating previous reports. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Assessing the Long-Term Effectiveness of a Behavioral Health Home for Adults With Bipolar and Psychotic Disorders.

OBJECTIVE: This study aimed to examine the impact of a behavioral health home (BHH) to better understand its potential to improve health for individuals with serious mental illness. METHODS: Propensity score-weighted interrupted time series analysis was used to estimate service utilization and chronic disease management through 3.5 years after BHH implementation and to compre BHH enrollees (N=413) with other patients with serious mental illness in the same health system (N=1,929). RESULTS: Relative to control group members, BHH patients had an immediate increase in primary care visits (+0.18 visits/month), which remained higher throughout follow-up, and an immediate decrease in emergency department visits (-0.031 visits/month). Behavioral health outpatient visits, which were increasing for BHH participants before implementation, began decreasing postimplementation; this decrease (-0.016 visits/month) was significantly larger than for the control group. Inpatient and outpatient visits for general medical health were decreasing over time for both groups before implementation but decreased more slowly for BHH patients postimplementation. Although behavioral health inpatient visits decreased for both groups around the start of the BHH program and remained lower, this initial drop was larger for the non-BHH group. BHH participation was associated with decreases in hemoglobin A1c values but no shift in low-density lipoprotein cholesterol values. CONCLUSIONS: The results reflect the challenges of improving health for patients with serious mental illness, even as access to primary care is increased. Further study is needed about which complex interventions inside and outside of the health care system can help offset the 20- to 30-year mortality gap faced by this population.

Changes in Insurance Coverage Continuity After Affordable Care Act Expansion of Medicaid Eligibility for Young Adults With Low Income in Massachusetts.

Importance: Young adults historically have had the highest uninsured rates among all age groups. In 2014, in addition to Medicaid expansion for adults with low income (≤133% of the federal poverty level [FPL]) through the Patient Protection and Affordable Care Act, Massachusetts also extended eligibility for children (≤150% FPL) to beneficiaries aged 19 to 20 years. Objective: To examine changes in insurance coverage continuity for Medicaid enrollees who turned age 19 years before and after eligibility policy changes. Design Setting and Participants: This cohort study used data from the Massachusetts All-Payer Claims Database (2012 to 2016) to compare coverage for Medicaid beneficiaries turning age 19 years before and after Medicaid expansion. Monthly coverage was examined for each cohort for 3 years as beneficiaries aged from 18 and 19 years to 19 and 20 years to 20 and 21 years. Analyses were performed between November 1, 2020, and May 12, 2022. Main Outcomes and Measures: In each year, the likelihood of being uninsured or having Medicaid, employer-sponsored insurance, or individual commercial coverage for 3 or more months was examined along with the likelihood of having continuous Medicaid enrollment for 12 or more and 24 or more months. Multivariable linear probability models were used to compare the likelihood of these outcomes for those in the postexpansion vs preexpansion cohorts, adjusting for sex, comorbidity levels, neighborhood socioeconomic status, and neighborhood race and ethnicity. Results: A total of 41 247 young adults turning age 18 to 19 years in the baseline year (20 876 [50.6%] men) were included in the study, with 20 777 in the preexpansion cohort and 20 470 in the postexpansion cohort. Enrollees who turned age 19 years after vs before the Medicaid eligibility expansion were less likely to have 3 or more uninsured months at ages 18 to 19 years (4.4% [n = 891] vs 22.9% [n = 4750]; adjusted difference, -18.4 [95% CI, -19.0 to -17.7] percentage points) and 19 to 20 years (13.2% [n = 2702] vs 35.8% [n = 7447]; adjusted difference, -22.4 [95% CI, -23.2 to -21.6] percentage points) and more likely to have continuous insurance coverage for 12 or more months (94.1% [n = 19 272] vs 63.7% [n = 13 234]; adjusted difference, 30.5 [95% CI, 29.7-31.2] percentage points) or 24 or more months (77.5% [n = 15 868] vs 44.4% [n = 9221]; adjusted difference, 33.0 [95% CI, 32.1-33.9] percentage points). Differences in the likelihood of having 3 or more uninsured months diminished at ages 20 to 21 years, when both groups had access to Medicaid (ie, in calendar years 2014 for the preexpansion cohort and 2016 for the postexpansion cohort). Conclusions and Relevance: In this cohort study of young adults in Massachusetts, the combination of expanding Medicaid to lower-income adults and increasing the age threshold for child Medicaid eligibility was associated with reduced likelihood of becoming uninsured among Medicaid enrollees entering adulthood.

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.

Patient and provider perception of appropriateness, acceptability, and feasibility of behavioral health home (BHH) core components based on program implementation in an urban, safety-net health system.

Background: This manuscript evaluates patient and provider perspectives on the core components of a Behavioral Health Home (BHH) implemented in an urban, safety-net health system. The BHH integrated primary care and wellness services (e.g., on-site Nurse Practitioner and Care Manager, wellness groups and tools, population health management) into an existing outpatient clinic for people with serious mental illness (SMI). Methods: As the qualitative component of a Hybrid Type I effectiveness-implementation study, semi-structured interviews were conducted with providers and patients 6 months after program implementation, and responses were analyzed using thematic analysis. Valence coding (i.e., positive vs. negative acceptability) was also used to rate interviewees' transcriptions with respect to their feedback of the appropriateness, acceptability, and feasibility/sustainability of 9 well-described and desirable Integrated Behavioral Health Core components (seven from prior literature and two additional components developed for this intervention). Themes from the thematic analysis were then mapped and organized by each of the 9 components and the degree to which these themes explain valence ratings by component. Results: Responses about the team-based approach and universal screening for health conditions had the most positive valence across appropriateness, acceptability, and feasibility/sustainability by both providers and patients. Areas of especially high mismatch between perceived provider appropriateness and measures of acceptability and feasibility/sustainability included population health management and use of evidence-based clinical models to improve physical wellness where patient engagement in specific activities and tools varied. Social and peer support was highly valued by patients while incorporating patient voice was also found to be challenging. Conclusions: Findings reveal component-specific challenges regarding the acceptability, feasibility, and sustainability of specific components. These findings may partly explain mixed results from BHH models studied thus far in the peer-reviewed literature and may help provide concrete data for providers to improve BHH program implementation in clinical settings. Plain language abstract: Many people with serious mental illness also have medical problems, which are made worse by lack of access to primary care. The Behavioral Health Home (BHH) model seeks to address this by adding primary care access into existing interdisciplinary mental health clinics. As these models are implemented with increasing frequency nationwide and a growing body of research continues to assess their health impacts, it is crucial to examine patient and provider experiences of BHH implementation to understand how implementation factors may contribute to clinical effectiveness. This study examines provider and patient perspectives of acceptability, appropriateness, and feasibility/sustainability of BHH model components at 6-7 months after program implementation at an urban, safety-net health system. The team-based approach of the BHH was perceived to be highly acceptable and appropriate. Although providers found certain BHH components to be highly appropriate in theory (e.g., population-level health management), their acceptability of these approaches as implemented in practice was not as high, and their feedback provides suggestions for model improvements at this and other health systems. Similarly, social and peer support was found to be highly appropriate by both providers and patients, but in practice, at months 6-7, the BHH studied had not yet developed a process of engaging patients in ongoing program operations that was highly acceptable by providers and patients alike. We provide these data on each specific BHH model component, which will be useful to improving implementation in clinical settings of BHH programs that share some or all of these program components.

Mindfulness Training for Primary Care for Portuguese-Speaking Immigrants: A Pilot Study.

Background: Portuguese-speaking immigrants are a growing underserved population in the Unites States who experience high levels of psychological distress and increased vulnerability to mental health disorders such as depression and anxiety. Current evidence shows that mindfulness-based interventions (MBIs) are effective to promote physical and mental health among educated English speakers; nonetheless, the lack of diversity in the mindfulness literature is a considerable limitation. To our knowledge, the feasibility and acceptability of MBIs among Portuguese-speaking immigrants have not yet been investigated. Methods: This single-arm pilot study (N = 30) explored the feasibility, acceptability, and cultural aspects of Mindfulness Training for Primary Care (MTPC)-Portuguese among Portuguese-speaking immigrants in the Boston area. MTPC is an 8-week, primary care-adapted, referral-based, insurance-reimbursable, trauma-informed MBI that is fully integrated into a healthcare system. The study also examined intervention preliminary effectiveness on mental health outcomes (depression and anxiety symptoms) and self-regulation (emotional regulation, mindfulness, self-compassion, interoceptive awareness), and initiation of health behavior was explored. Results: Primary care providers referred 129 patients from 2018 to 2020. Main DSM-5 primary diagnoses were depression (76.3%) and anxiety disorders (6.7%). Participants (N = 30) attended a mean of 6.1 (SD 1.92) sessions and reported a mean of 213.7 (SD = 124.3) min of practice per week. All survey finishers would recommend the program to a friend, found the program helpful, and rated the overall program as "very good" or "excellent," and 93% would participate again, with satisfaction mean scores between 4.6 and 5 (Likert scale 0-5). Participants and group leaders provided feedback to refine MTPC-Portuguese culturally responsiveness regarding materials language, settings, time, food, and community building. Patients exhibited reductions in depression (d = 0.67; p < 0.001) and anxiety (d = 0.48; p = 0.011) symptoms, as well as enhanced emotional regulation (d = 0.45; p = 0.009), and among survey finishers, 50% initiated health behavior change through action plan initiation. Conclusion: This pilot study suggests that MTPC-Portuguese is feasible, acceptable, and culturally appropriate among Portuguese-speaking patients in the Boston area. Furthermore, the intervention might potentially decrease depression and anxiety symptoms, facilitate health behavior change, and improve emotional regulation. MTPC-Portuguese investigation with larger samples in controlled studies is warranted to support its dissemination and implementation in the healthcare system. Clinical Trial Registration: Identifier: NCT04268355.

Assessment of Behavioral Health Services Use Among Low-Income Medicare Beneficiaries After Reductions in Coinsurance Fees.

Importance: Medicare has historically imposed higher beneficiary coinsurance for behavioral health services than for medical and surgical care but gradually introduced parity between 2009 and 2014. Although Medicare insures many people with serious mental illness (SMI), there is limited information on the impact of coinsurance parity in this population. Objective: To examine the association between coinsurance parity and outpatient behavioral health care use among low-income beneficiaries with SMI. Design, Setting, and Participants: This cohort study used Medicare claims data for a 50% national sample of lower-income Medicare beneficiaries from January 1, 2007, to December 31, 2016. The study sample included patients with SMI (schizophrenia, bipolar disorder, or major depressive disorder). Data analysis was performed from August 1, 2018, to July 15, 2020. Exposures: Reduction in behavioral health care coinsurance from 50% to 20% between January 1, 2009, and January 1, 2014. Main Outcomes and Measures: Total annual spending for outpatient behavioral health care visits and the percentage of beneficiaries with an annual outpatient behavioral health care visit overall, with a prescriber, and with a psychiatrist. A difference-in-difference approach was used to compare outcomes before and after the reduction in coinsurance for beneficiaries with and without cost-sharing decreases. Linear regression models with beneficiary fixed effects that adjusted for time-changing beneficiary- and area-level covariates were used to examine changes in outcomes. Results: The study included 793 275 beneficiaries with SMI in 2008; 518 893 (65.4%) were younger than 65 years (mean [SD] age, 57.6 [16.1] years), 511 265 (64.4%) were female, and 552 056 (69.6%) were White. In 2008, the adjusted percentage of beneficiaries with an outpatient behavioral health care visit was 40.7% (95% CI, 40.4%-41.0%) among those eligible for the cost-sharing reduction and 44.9% (95% CI, 44.9%-45.0%) among those with free care. The mean adjusted out-of-pocket costs for outpatient behavioral health care visits decreased from $132 (95% CI, $129-$136) in 2008 to $64 (95% CI, $61-$66) in 2016 among those with reductions in cost-sharing. The adjusted percentage of beneficiaries with behavioral health care visits increased to 42.2% (95% CI, 41.9%-42.5%) in the group with a reduction in coinsurance and to 47.2% (95% CI, 47.0%-47.3%) in the group with free care. The cost-sharing reduction was not positively associated with visits (eg, relative change of -0.76 percentage points [95% CI, -1.12 to -0.40 percentage points] in the percentage of beneficiaries with outpatient behavioral health care visits in 2016 vs 2008). Conclusions and Relevance: This cohort study found that beneficiary costs for outpatient behavioral health care decreased between 2009 and 2014. There was no association between cost-sharing reductions and changes in behavioral health care visits. Low levels of use in this high-need population suggest the need for other policy efforts to address additional barriers to behavioral health care.

Addressing Major Health Disparities Related to Coronavirus for People With Behavioral Health Conditions Requires Strength-Based Capacity Building and Intentional Community Partnership.

Far from being an equalizer, as some have claimed, the COVID-19 pandemic has exposed just how vulnerable many of our social, health, and political systems are in the face of major public health shocks. Rapid responses by health systems to meet increased demand for hospital beds while continuing to provide health services, largely via a shift to telehealth services, are critical adaptations. However, these actions are not sufficient to mitigate the impact of coronavirus for people from marginalized communities, particularly those with behavioral health conditions, who are experiencing disproportional health, economic, and social impacts from the evolving pandemic. Helping these communities weather this storm requires partnering with existing community-based organizations and local governments to rapidly and flexibly meet the needs of vulnerable populations.

Assessing provider and racial/ethnic variation in response to the FDA antidepressant box warning.

INTRODUCTION: After the 2004 FDA box warning raised concerns about increased suicidal ideation among youth taking antidepressants, antidepressant use decreased for White youth but slightly increased for Black and Latino youth. Better understanding of patient and provider factors contributing to these differences is needed to improve future risk warning dissemination. METHODS: We analyzed antidepressant prescriptions for youth aged 5-17 in 2002-2006 Medicaid claims data from four states (CA, FL, NC, and NY). In multilevel models, we assessed provider- and patient-level contributions to changes in antidepressant use by race/ethnicity and compared responses to the box warning between providers with large (>2/3) and small (<1/3) proportions of minority patients. RESULTS: A significant amount of variance in overall prescribing patterns (calculated by the ICC) was explained at the provider level. Significant provider-level variation was also identified in the differential effect of the box warning by racial/ethnic group. In a test of the influence of provider panel mix, we found that providers with large proportions of minority patients reduced antidepressant prescribing more slowly after the box warning than other providers. DISCUSSION: This study is the first to assess provider- and patient-level variation in the impact of a health care policy change on treatment disparities. Black and Latino youth Medicaid beneficiaries were seen by largely different providers than their White counterparts, and these distinct providers were influential in driving antidepressant prescription patterns following the box warning. Concerted outreach to providers of minority beneficiaries is needed to ensure that risk warnings and clinical innovations diffuse swiftly across racial/ethnic minority groups.

Measuring trends in mental health care disparities, 2000 2004.

OBJECTIVE: This study measured trends in disparities in mental health care by use of an improved method that applies the Institute of Medicine (IOM) definition of racial-ethnic disparities. METHODS: Data from the 2000-2001 and 2003-2004 Medical Expenditure Panel Surveys were used to estimate trends in two global measures of racial-ethnic disparities in mental health care: having any mental health visit and total mental health care expenditure in the past year. Disparities between African Americans, Hispanics, and white Americans were examined by applying a new methodology based on the IOM definition of racial disparity that adjusts for health status and allows for mediation of racial-ethnic disparities through socioeconomic factors. Results found by use of this measure are contrasted with unadjusted means. RESULTS: African-American-white and Hispanic-white disparities in any use of mental health care worsened from 2000-2001 to 2003-2004 when the IOM definition was used; however, these trends were not evident in the unadjusted comparison. No significant African-American-white disparities were found in total mental health expenditures. Hispanic-white disparities in total mental health expenditures were significant within each time period and increased between 2000-2001 and 2003-2004. CONCLUSIONS: The mental health care system continues to provide less care to persons in African-American and Hispanic minority groups than to whites, suggesting the need for policy initiatives to improve services for these minority groups. Future efforts at identifying trends in disparities in mental health services should use methodologies that adjust for health status and allow socioeconomic factors to mediate differences.

Assessing the Individual, Neighborhood, and Policy Predictors of Disparities in Mental Health Care.

This study assesses individual- and area-level predictors of racial/ethnic disparities in mental health care episodes for adults with psychiatric illness. Multilevel regression models are estimated using data from the Medical Expenditure Panel Surveys linked to area-level data sets. Compared with Whites, Blacks and Latinos live in neighborhoods with higher minority density, lower average education, and greater specialist mental health provider density, all of which predict lesser mental health care initiation. Neighborhood-level variables do not have differential effects on mental health care by race/ethnicity. Racial/ethnic disparities arise because minorities are more likely to live in neighborhoods where treatment initiation is low, rather than because of a differential influence of neighborhood disadvantage on treatment initiation for minorities compared with Whites. Low rates of initiation in neighborhoods with a high density of specialists suggest that interventions to increase mental health care specialists, without a focus on treating racial/ethnic minorities, may not reduce access disparities.

Implementing the Institute of Medicine definition of disparities: an application to mental health care.

OBJECTIVE: In a recent report, the Institute of Medicine (IOM) defines a health service disparity between population groups to be the difference in treatment or access not justified by the differences in health status or preferences of the groups. This paper proposes an implementation of this definition, and applies it to disparities in outpatient mental health care. DATA SOURCES: Health Care for Communities (HCC) reinterviewed 9,585 respondents from the Community Tracking Study in 1997-1998, oversampling individuals with psychological distress, alcohol abuse, drug abuse, or mental health treatment. The HCC is designed to make national estimates of service use. STUDY DESIGN: Expenditures are modeled using generalized linear models with a log link for quantity and a probit model for any utilization. We adjust for group differences in health status by transforming the entire distribution of health status for minority populations to approximate the white distribution. We compare disparities according to the IOM definition to other methods commonly used to assess health services disparities. PRINCIPAL FINDINGS: Our method finds significant service disparities between whites and both blacks and Latinos. Estimated disparities from this method exceed those for competing approaches, because of the inclusion of effects of mediating factors (such as income) in the IOM approach. CONCLUSIONS: A rigorous definition of disparities is needed to monitor progress against disparities and to compare their magnitude across studies. With such a definition, disparities can be estimated by adjusting for group differences in models for expenditures and access to mental health services.

Measuring Geographic "Hot Spots" of Racial/Ethnic Disparities: An Application to Mental Health Care.

This article identifies geographic "hot spots" of racial/ethnic disparities in mental health care access. Using data from the 2001-2003 Collaborative Psychiatric Epidemiology Surveys(CPES), we identified metropolitan statistical areas(MSAs) with the largest mental health care access disparities ("hot spots") as well as areas without disparities ("cold spots"). Racial/ethnic disparities were identified after adjustment for clinical need. Richmond, Virginia and Columbus, Georgia were found to be hot spots for Black-White disparities, regardless of method used. Fresno, California and Dallas, Texas were ranked as having the highest Latino-White disparities and Riverside, California and Houston, Texas consistently ranked high in Asian-White mental health care disparities across different methods. We recommend that institutions and government agencies in these "hot spot" areas work together to address key mechanisms underlying these disparities. We discuss the potential and limitations of these methods as tools for understanding health care disparities in other contexts.

Novel Use of Natural Language Processing (NLP) to Predict Suicidal Ideation and Psychiatric Symptoms in a Text-Based Mental Health Intervention in Madrid.

Natural language processing (NLP) and machine learning were used to predict suicidal ideation and heightened psychiatric symptoms among adults recently discharged from psychiatric inpatient or emergency room settings in Madrid, Spain. Participants responded to structured mental and physical health instruments at multiple follow-up points. Outcome variables of interest were suicidal ideation and psychiatric symptoms (GHQ-12). Predictor variables included structured items (e.g., relating to sleep and well-being) and responses to one unstructured question, "how do you feel today?" We compared NLP-based models using the unstructured question with logistic regression prediction models using structured data. The PPV, sensitivity, and specificity for NLP-based models of suicidal ideation were 0.61, 0.56, and 0.57, respectively, compared to 0.73, 0.76, and 0.62 of structured data-based models. The PPV, sensitivity, and specificity for NLP-based models of heightened psychiatric symptoms (GHQ-12 ≥ 4) were 0.56, 0.59, and 0.60, respectively, compared to 0.79, 0.79, and 0.85 in structured models. NLP-based models were able to generate relatively high predictive values based solely on responses to a simple general mood question. These models have promise for rapidly identifying persons at risk of suicide or psychological distress and could provide a low-cost screening alternative in settings where lengthy structured item surveys are not feasible.

Translating disparities research to policy: a qualitative study of state mental health policymakers' perceptions of mental health care disparities report cards.

Report cards have been used to increase accountability and quality of care in health care settings, and to improve state infrastructure for providing quality mental health care services. However, to date, report cards have not been used to compare states on racial/ethnic disparities in mental health care. This qualitative study examines reactions of mental health care policymakers to a proposed mental health care disparities report card generated from population-based survey data of mental health and mental health care utilization. We elicited feedback about the content, format, and salience of the report card. Interviews were conducted with 9 senior advisors to state policymakers and 1 policy director of a national nongovernmental organization from across the United States. Four primary themes emerged: fairness in state-by-state comparisons; disconnect between the goals and language of policymakers and researchers; concerns about data quality; and targeted suggestions from policymakers. Participant responses provide important information that can contribute to making evidence-based research more accessible to policymakers. Further, policymakers suggested ways to improve the structure and presentation of report cards to make them more accessible to policymakers, and to foster equity considerations during the implementation of new health care legislation. To reduce mental health care disparities, effort is required to facilitate understanding between researchers and relevant stakeholders about research methods, standards for interpretation of research-based evidence, and its use in evaluating policies aimed at ameliorating disparities.