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.

Adolescents and the internet: what mental health clinicians need to know.

The Internet's permeation into daily life has profoundly changed the practice of psychiatry with adolescents, who mobilize online social media and related technologies in their efforts to develop identity and "hang out" with peers. Technology offers both challenges and opportunities to mental health professionals working with teens. Practitioners will need a new skill-set, including keeping abreast of technological developments; professionally incorporating technology into clinical assessment and practice; identifying the negative impacts of technology on teens' physical and mental health and the particular vulnerabilities of at-risk patients in a digital world; and guiding patients and parents about interventions. Particular patient factors related to race/ethnicity, gender and sexual orientation, mental health and trauma history, family culture, parenting style, and personality traits will need to be considered. This article provides an overview of the literature on adolescents and the Internet focusing on recent research on Internet and digital technologies used for social communication among youth.

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

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

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

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

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.

Racial and Ethnic Disparities in Childhood ADHD Treatment Access and Utilization: Results From a National Study.

OBJECTIVE: The study examined racial-ethnic disparities in access to and utilization of treatment for attention-deficit hyperactivity disorder (ADHD) and other psychiatric diagnoses among children with ADHD. METHODS: Nationally representative, cross-sectional data from the Household Component of the Medical Expenditure Panel Survey 2011-2019 were used to examine racial-ethnic disparities in access to and utilization of treatment by children ages 5-17 with ADHD (N=5,838). Logistic regression models were estimated for access outcomes, and generalized linear models were estimated for utilization outcomes. Multivariable regression models adjusted for race-ethnicity, age, sex, and treatment need in accordance with the Institute of Medicine definition of health care disparities. RESULTS: In adjusted analyses, compared with White children with ADHD, Black, Hispanic, and Asian children with ADHD had significantly lower rates of any past-year treatment visit for ADHD or for other psychiatric diagnoses. They also had lower rates of having accessed ADHD medication. Compared with White children, Black and Asian children with ADHD used fewer ADHD medications, and Black and Hispanic children with ADHD had lower overall mental health treatment expenditures. CONCLUSIONS: Disparities in ADHD treatment among children from racial-ethnic minority populations may be driven primarily by disparities in access rather than in utilization. Once treatment had been accessed, disparities in utilization were largely accounted for by differences in socioeconomic status. These findings suggest that interventions targeting access to treatment among children from racial-ethnic minority populations may help close existing care gaps.

Use and quality of mental health services for Haitian youth.

OBJECTIVE: To describe the mental health service use of Haitian, African-American, and non-Latino White youth in a community mental health setting. Groups are compared on adherence to treatment guidelines for attention-deficit/hyperactivity disorder (ADHD) and depressive disorders. DESIGN: Retrospective review of outpatient mental health charts (n = 252) from five community sites in an urban area of the Northeastern United States. We recorded the total number and treatment type of sessions during the first six months of treatment. Guideline-adherent treatments were compared and predicted after controlling for clinical need. RESULTS: Most Haitian and African-American youth stopped treatment by six months, with the majority attending less than eight sessions. One third of Haitian and African-American patients attended just one session. Haitian patients who presented with less severe symptoms and dysfunction were more likely to have single-session treatments. Guideline-adherent treatment for ADHD and depression was less likely for Haitians. Older patients were more likely to receive adequate depression treatment. Haitian youth were relatively underinsured, had more family separations documented, and received Adjustment Disorder diagnoses more often. CONCLUSIONS: Haitian youth use outpatient mental health services in similar proportion to African-American youth and at lower rates than White youth. Guideline-adherent treatment for ADHD and depression is limited by low retention in care for Black youth. Low insurance coverage is likely an important contributor to reduced use of services, especially for Haitians. These findings are discussed in the context of providing culturally sensitive mental health care to diverse communities.

Promoting Population Behavioral Health in a Safety-Net Health System During the COVID-19 Pandemic.

The COVID-19 pandemic has been expected to lead to substantial increases in need for behavioral health care. A population health framework can facilitate the development of interventions and policies to promote the equitable distribution of care across the population. This column describes the application of population behavioral health principles in a safety-net health system during the pandemic. The approach includes stepped models of care, interventions to target individuals at high behavioral health risk, and measurement-based care. Early data suggest that these strategies have resulted in expanded behavioral health care capacity.