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.

Are Optimism and Cynical Hostility Associated with Smoking Cessation in Older Women?

BACKGROUND: Optimism and cynical hostility independently predict morbidity and mortality in Women's Health Initiative (WHI) participants and are associated with current smoking. However, their association with smoking cessation in older women is unknown. PURPOSE: The purpose of this study is to test whether optimism (positive future expectations) or cynical hostility (mistrust of others) predicts smoking cessation in older women. METHODS: Self-reported smoking status was assessed at years 1, 3, and 6 after study entry for WHI baseline smokers who were not missing optimism or cynical hostility scores (n = 10,242). Questionnaires at study entry assessed optimism (Life Orientation Test-Revised) and cynical hostility (Cook-Medley, cynical hostility subscale). Generalized linear mixed models adjusted for sociodemographics, lifestyle factors, and medical and psychosocial characteristics including depressive symptoms. RESULTS: After full covariate adjustment, optimism was not related to smoking cessation. Each 1-point increase in baseline cynical hostility score was associated with 5% lower odds of cessation over 6 years (OR = 0.95, CI = 0.92-0.98, p = 0.0017). CONCLUSIONS: In aging postmenopausal women, greater cynical hostility predicts lower smoking cessation over time. Future studies should examine whether individuals with this trait may benefit from more intensive cessation resources or whether attempting to mitigate cynical hostility itself may aid smoking cessation.

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.

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.

Determinants of remote measurement-based care uptake in a safety net outpatient psychiatry department as part of learning health system transition.

Introduction: Behavioral measurement-based care (MBC) can improve patient outcomes and has also been advanced as a critical learning health system (LHS) tool for identifying and mitigating potential disparities in mental health treatment. However, little is known about the uptake of remote behavioral MBC in safety net settings, or possible disparities occurring in remote MBC implementation. Methods: This study uses electronic health record data to study variation in completion rates at the clinic and patient level of a remote MBC symptom measure tool during the first 6 months of implementation at three adult outpatient psychiatry clinics in a safety net health system. Provider-reported barriers to MBC adoption were also measured using repeated surveys at one of the three sites. Results: Out of 1219 patients who were sent an MBC measure request, uptake of completing at least one measure varied by clinic: General Adult Clinic, 38% (n = 262 of 696); Substance Use Clinic, 28% (n = 73 of 265); and Transitions Clinic, 17% (n = 44 of 258). Compared with White patients, Black and Portuguese or Brazilian patients had lower uptake. Older patients also had lower uptake. Spanish language of care was associated with much lower uptake at the patient level. Significant patient-level disparities in uptake persisted after adjusting for the clinic, mental health diagnoses, and number of measure requests sent. Providers cited time within visits and bandwidth in their workflow as the greatest consistent barriers to discussing MBC results with patients. Conclusions: There are significant disparities in MBC uptake at the patient and clinic level. From an LHS data infrastructure perspective, safety net health systems may need to address the need for possible ways to adapt MBC to better fit their populations and clinical needs, or identify targeted implementation strategies to close data gaps for the identified disparity populations.

A Widening Divide: Cigarette Smoking Trends Among People With Substance Use Disorder And Criminal Legal Involvement.

People with substance use disorder (SUD) smoke cigarettes at a rate more than twice that of the general population. Policies and programs have focused on promoting smoking cessation among people with SUD, yet it is unclear whether interventions have adequately reached the subgroup involved in the criminal legal system, who have among the highest smoking rates. Drawing on repeated cross-sections of the National Survey on Drug Use and Health, we found that smoking rates declined by 9.4 percentage points overall among people with SUD from 2010 to 2019, but rates remained virtually unchanged among the subgroup with criminal legal involvement. In regression analyses focused on people with SUD, three-quarters of the excess smoking burden for those with criminal legal involvement at baseline (2010-13) was accounted for by controlling for sociodemographics, substance use type, health insurance, and recent SUD treatment. However, even after we controlled for these same factors, the disparity in smoking prevalence among people with SUD between those with and without criminal legal involvement remained constant over time. These findings underscore the need for smoking cessation interventions focused on the criminal legal system, including correctional facilities and SUD treatment programs that serve people in this population.

Trends in cigarette use and health insurance coverage among US adults with mental health and substance use disorders.

AIMS: To estimate recent trends in cigarette use and health insurance coverage for United States adults with and without mental health and substance use disorders (MH/SUD). DESIGN: Event study analysis of smoking and insurance coverage trends among US adults with and without MH/SUD using 2008-19 public use data from the National Survey on Drug Use and Health, an annual, cross-sectional survey. SETTING: USA. PARTICIPANTS: A nationally representative sample of non-institutionalized respondents aged 18-64 years (n = 448 762). MEASUREMENTS: Outcome variables were three measures of recent cigarette use and one measure of past-year health insurance coverage. We compared outcomes between people with and without MH/SUD (MH disorder: past-year mental illness, predicted from Kessler-6 and the World Health Organization-Disability Assessment Schedule impairment scale; SUD: met survey-based DSM-IV criteria for past-year alcohol, cannabis, cocaine or heroin use disorder) and over time. FINDINGS: Comparing pooled data from 2008 to 2009 and from 2018 to 2019, current smoking rates of adults with MH/SUD decreased from 37.9 to 27.9% while current smoking rates of adults without MH/SUD decreased from 21.4 to 16.3%, a significant difference in decrease of 4.9 percentage points (pts) [95% confidence interval (CI) = 3.3-6.6 pts]. Daily smoking followed similar patterns (difference in decrease of 3.9 pts (95% CI = 2.3-5.4 pts). Recent smoking abstinence rates for adults with MH/SUD increased from 7.4 to 10.9%, while recent smoking abstinence rates for adults without MH/SUD increased from 9.6 to 12.0%, a difference in increase of 1.0 pts (95% CI = -3.0 to 0.9 pts). In 2018-19, 11% of net reductions in current smoking, 12% of net reductions in daily smoking and 12% of net increases in recent smoking abstinence coincided with greater gains in insurance coverage for adults with MH/SUD compared to those without MH/SUD. CONCLUSIONS: Improvements in smoking and abstinence outcomes for US adults with mental health and substance use disorders appear to be associated with increases in health insurance coverage.

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.

Effects of Medicaid coverage on receipt of tobacco dependence treatment among Medicaid beneficiaries with substance use disorder.

OBJECTIVE: Individuals with substance use disorder (SUD) smoke cigarettes at a rate that is more than double the rate of the general population. Tobacco dependence treatment (TDT) is effective at reducing smoking, yet it is unclear whether expanding insurance coverage of these services increases TDT use among Medicaid beneficiaries with SUD. DATA SOURCE: 2009-2013 Medicaid data in all 50 states and Washington DC. STUDY DESIGN: We conducted a retrospective analysis of the 2009-2013 de-identified Medicaid Analytic Extract (MAX) claims for a 100% national sample of fee-for-service (FFS) Medicaid adult beneficiaries. Using a difference-in-difference-in-differences analysis, we assessed the association of full TDT coverage on TDT medication use and tobacco cessation counseling services between beneficiaries with and without SUD. We adjusted for age, sex, race/ethnicity, diagnosis of co-occurring chronic illness, state tobacco taxes, and state and year fixed effects. DATA COLLECTION/EXTRACTION METHODS: We excluded patients not continuously enrolled in Medicaid for 12 months during the calendar year, adults aged 65 and older (given their dual enrollment in Medicaid and Medicare), minors aged 12-17, and pregnant women (for whom different TDT coverage policies apply). PRINCIPAL FINDINGS: We separately modeled the association between full coverage of (1) counseling, (2) over-the-counter nicotine replacement therapy, and (3) prescription cessation medications on TDT medication treatment and counseling services. We found that each coverage led to increases in any TDT medication treatment and counseling services for beneficiaries with SUD. The effects of each coverage on medication treatment were greater for beneficiaries with SUD compared to beneficiaries without SUD (ranging from 4.9 to 6.1 percentage point difference). CONCLUSION: Coverage of tobacco cessation counseling, over-the-counter nicotine replacement therapy, and prescription cessation medications holds promise for reducing the wide disparities in rates of smoking between those with and without SUD.

Typologies of mental healthcare discrimination experiences and associations with current provider care ratings: A latent class analysis.

Background: Discrimination is experienced across demographic attributes (e.g., race and gender) and vantage points (e.g., personal and vicarious), yet few studies have classified these different experiences of discrimination within healthcare systems. Moreover, which discriminatory experiences have greater influence on patient-reported quality outcomes remains poorly understood. To address these gaps, we used latent class analysis (LCA) to identify typologies of past experiences with healthcare discrimination among adults with depression-who experience more frequent and stigmatizing healthcare interactions than the general population-and assess the relationship between class membership and current ratings of patient-reported quality outcomes. Methods: We surveyed a nationally representative sample of adults with depression (n = 803) to assess past experiences of discrimination by medical providers in terms of both the characteristics targeted for discrimination and whether healthcare discrimination was experienced personally or by friends and family members. We conducted an LCA to identify discrimination-exposure classes and a modified Poisson regression to identify associations between class membership and patient-reported quality outcomes (e.g., overall medical provider quality, respect, clear communication, and careful listening), while adjusting for covariates. Results: We identified four latent classes of healthcare discrimination: low discrimination (LD; referent class: 72.2% of total sample), vicarious linguistic discrimination (VL; 13.9%), elevated personal and vicarious racial discrimination (EPVR; 10.5%), and high racial/ethnic discrimination (HRE; 3.4%). Compared to those in the LD class, individuals in the EPVR class had higher rates of reporting their current medical provider's respect and careful listening skills as sometimes or never, (Respect aIRR: 1.90, 95% CI: 1.05-3.42; Listening aIRR: 2.18, 95% CI: 1.29-3.66). Those in the HRE class reported higher rates of reporting their medical provider's quality and communication as poor or fair and lower ratings of careful listening (Quality aIRR: 2.06, 95% CI: 1.08-3.93; Communication aIRR: 1.97, 95% CI: 1.00-3.63; Listening aIRR: 2.41, 95% CI: 1.27-4.59), compared to those in the LD class. Those in the VL class had higher rates of reporting that their medical provider never or sometimes respected or carefully listened to them (Respect aIRR: 2.12, 95% CI: 1.20-3.72; Listening aIRR:1.67, 95% CI:1.03-2.71) than those in, the LD class. Conclusions: Healthcare organizations committed to providing equitable patient care should establish more robust quality improvement approaches to prevent discrimination at the medical provider level as well as structures of accountability to reconcile previously embedded social inequities within the healthcare system.

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.

Association of Nondiscrimination Policies With Mental Health Among Gender Minority Individuals.

Importance: In the past decade, many states have implemented policies prohibiting private health insurers from discriminating based on gender identity. Policies banning discrimination have the potential to improve access to care and health outcomes among gender minority (ie, transgender and gender diverse) populations. Objective: To evaluate whether state-level nondiscrimination policies are associated with suicidality and inpatient mental health hospitalizations among privately insured gender minority individuals. Design, Setting, and Participants: In this cohort study, difference-in-differences analysis comparing changes in mental health outcomes among gender minority enrollees before and after states implemented nondiscrimination policies in 2009-2017 was conducted. A sample of gender minority children and adults was identified using gender minority-related diagnosis codes obtained from private health insurance claims. The present study was conducted from August 1, 2018, to September 1, 2019. Exposure: Living in states that implemented policies banning discrimination based on gender identity in 2013, 2014, 2015, and 2016. Main Outcomes and Measures: The primary outcome was suicidality. The secondary outcome was inpatient mental health hospitalization. Results: The study population included 28 980 unique gender minority enrollees (mean [SD] age, 26.5 [15] years) from 2009 to 2017. Relative to comparison states, suicidality decreased in the first year after policy implementation in the 2014 policy cohort (odds ratio [OR], 0.72; 95% CI, 0.58-0.90; P = .005), the 2015 policy cohort (OR, 0.50; 95% CI, 0.39-0.64; P < .001), and the 2016 policy cohort (OR, 0.61; 95% CI, 0.44-0.85; P = .004). This decrease persisted to the second postimplementation year for the 2014 policy cohort (OR, 0.48; 95% CI, 0.41-0.57; P < .001) but not for the 2015 policy cohort (OR, 0.81; 95% CI, 0.47-1.38; P = .43). The 2013 policy cohort experienced no significant change in suicidality after policy implementation in all 4 postimplementation years (2014: OR, 1.19; 95% CI, 0.85-1.67; P = .31; 2015: OR, 0.94; 95% CI, 0.73-1.20; P = .61; 2016: OR, 0.82; 95% CI, 0.65-1.03; P = .10; and 2017: OR, 1.29; 95% CI, 0.90-1.88; P = .18). Mental health hospitalization rates generally decreased or stayed the same for individuals living in policy states vs the comparison group. Conclusions and Relevance: Implementation of a state-level nondiscrimination policy appears to be associated with decreased or no changes in suicidality among gender minority individuals living in states that implemented these policies from 2013 to 2016. Given high rates of suicidality among gender minority individuals in the US, health insurance nondiscrimination policies may offer a mechanism for reducing barriers to care and mitigating discrimination.

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.

Disparities in Suicidality by Gender Identity Among Medicare Beneficiaries.

INTRODUCTION: Suicidality is higher for gender minorities than the general population, yet little is known about suicidality in disabled or older adult gender minorities. METHODS: This study used 2009-2014 Medicare claims to identify people with gender identity-related diagnosis codes (disabled, n=6,678; older adult, n=2,018) and compared their prevalence of suicidality with a 5% random non-gender minority beneficiary sample (disabled, n=535,801; older adult, n=1,700,008). Correlates of suicidality were assessed (via chi-square) for each of the 4 participant groups separately, and then disparities within eligibility status (disabled or older adult) were assessed using logistic regression models, adjusting first for age and mental health chronic conditions and then additionally for Medicaid eligibility, race/ethnicity, or U.S. region (each separately). The primary hypotheses were that gender minority beneficiaries would have higher suicidality but that suicidality disparities would persist after adjusting for covariates. Data were analyzed between 2017 and 2019. RESULTS: Gender minority beneficiaries had higher unadjusted suicidality than non-gender minority beneficiaries in the disabled cohort (18.5% vs 7.1%, p<0.001). Significant suicidality predictors in all 4 groups included the following: age (except in older adult gender minorities), Medicaid eligibility, depression or behavioral health conditions, avoidable hospitalizations, and violence victimization. In age- and mental health-adjusted logistic regression models, gender minorities had higher odds of suicidality than non-gender minority beneficiaries (disabled, OR=1.95, p<0.0001; older adult, OR=2.10, p<0.0001). Disparities were not attenuated after adjusting for Medicaid eligibility, race/ethnicity, or region. CONCLUSIONS: Heightened suicidality among identified gender minority Medicare beneficiaries highlights a pressing need to identify and reduce barriers to wellness in this population.

Estimating the Health Status of Privately Insured Gender Minority Children and Adults.

Purpose: The purpose of this study was to characterize the health status of privately insured gender minority individuals. Methods: We created a diagnosis-based algorithm to identify gender minority children and adults in the 2009-2015 IBM® MarketScan® Commercial Database. We compared the age-adjusted health status among individuals with and without gender minority-related diagnosis codes. Results: The percentage of the privately insured population with gender minority-related diagnosis codes increased from 0.004% in 2009 to 0.026% in 2015. Age-adjusted analyses demonstrated that individuals with gender minority-related diagnosis codes were more likely to have diagnoses for mental health disorders (odds ratio [OR] = 8.5; 95% confidence interval [CI] = 8.1-9.0), substance use disorders (OR = 3.4; 95% CI = 2.9-3.9), and diabetes (OR = 1.4; 95% CI = 1.2-1.6), driven by high prevalence of these conditions among individuals younger than 18 years. Conclusions: Our findings highlight a markedly greater prevalence of mental health and substance use disorder diagnoses among privately insured gender minority individuals. These results establish a reference point for evaluating the impact of federal- and state-level policies that ban health insurance discrimination based on gender identity on the health and health care use of gender minority individuals.

Barriers And Facilitators To Community-Based Participatory Mental Health Care Research For Racial And Ethnic Minorities.

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.

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.

Trends in Mental Health Care Use in Medicare from 2009 to 2014 by Gender Minority and Disability Status.

Purpose: This study examines trends in Medicare beneficiaries' mental health care use from 2009 to 2014 by gender minority and disability status. Methods: Using 2009 to 2014 Medicare claims, we modeled mental health care use (outpatient mental health care, inpatient mental health care, and psychotropic drugs) over time, adjusting for age and behavioral health diagnoses. We compared trends for gender minority beneficiaries (identified using diagnosis codes) to trends for a 5% random sample of other beneficiaries, stratified by original entitlement reason (age vs. disability). Results: Adjusted outpatient and inpatient mental health care use decreased and differences generally narrowed between gender minority and other beneficiaries over the study period. Among beneficiaries qualifying through disability, the gap in the number of outpatient and inpatient visits (among those with at least one visit in a given year) widened. Psychotropic drug use rose for all beneficiaries, but the proportion of gender minority beneficiaries in the aged cohort who had a psychotropic medication prescription rose faster than for other aged beneficiaries. Conclusions: Mental health care needs for Medicare beneficiaries may be met increasingly by using psychotropic medications rather than outpatient visits, and this pattern is more pronounced for identified gender minority (especially aged) beneficiaries. These trends may indicate a growing need for research and provider training in safe and effective psychotropic medication prescribing alongside gender-affirming treatments such as hormone therapy, especially for aged gender minority individuals who likely already experience polypharmacy.

Optimism may moderate screening mammogram frequency in Medicare: A longitudinal study.

Higher trait optimism and/or lower cynical hostility are associated with healthier behaviors and lower risk of morbidity and mortality, yet their association with health care utilization has been understudied. Whether these psychological attitudes are associated with breast cancer screening behavior is unknown. To assess the association of optimism and cynical hostility with screening mammography in older women and whether sociodemographic factors acted as mediators of these relationships, we used Women's Health Initiative (WHI) observational cohort survey data linked to Medicare claims. The sample includes WHI participants without history of breast cancer who were enrolled in Medicare Parts A and B for ≥2 years from 2005-2010, and who completed WHI baseline attitudinal questionnaires (n = 48,291). We used survival modeling to examine whether screening frequency varied by psychological attitudes (measured at study baseline) after adjusting for sociodemographic characteristics, health conditions, and healthcare-related variables. Psychological attitudes included trait optimism (Life Orientation Test-Revised) and cynical hostility (Cook Medley subscale), which were self-reported at study baseline. Sociodemographic, health conditions, and healthcare variables were self-reported at baseline and updated through 2005 as available. Contrary to our hypotheses, repeated events survival models showed that women with the lowest optimism scores (i.e., more pessimistic tendencies) received 5% more frequent screenings after complete covariate adjustment (p < .01) compared to the most optimistic group, and showed no association between cynical hostility and frequency of screening mammograms. Sociodemographic factors did not appear to mediate the relationship between optimism and screenings. However, higher levels of education and higher levels of income were associated with more frequent screenings (both p < .01). We also found that results for optimism were primarily driven by women who were aged 75 or older after January 2009, when changes to clinical guidelines lead to uncertainty about risks and benefits of screening in this age group. The study demonstrated that lower optimism, higher education, and higher income were all associated with more frequent screening mammograms in this sample after repeated events survival modeling and covariate adjustment.