The mental health consequences of the COVID-19 pandemic are particularly relevant in African-American communities because African-Americans have been disproportionately impacted by the disease, yet they are traditionally less engaged in mental health treatment compared with other racial groups. Using the state of Michigan as an example, we describe the social and psychological consequences of the pandemic on African-American communities in the United States, highlighting community members' concerns about contracting the disease, fears of racial bias in testing and treatment, experiences of sustained grief and loss, and retraumatization of already-traumatized communities. Furthermore, we describe the multilevel, community-wide approaches that have been used thus far to mitigate adverse mental health outcomes within our local African-American communities. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Justice-involved populations have dramatically higher rates of substance use disorders (SUD) and mental health disorders (MHD) compared to the general population. Despite high rates of SUD and MHD, treatment for this population is often limited and not evidence-based. The cascade of care model estimates drop-offs in the continuum of care from screening to identification of need, referral, care initiation, care engagement, and care completion. Recently, healthcare providers have utilized the cascade of care to improve the continuity of care for people with SUD and MHD in justice settings. The purpose of the current study is to 1) identify typologies that explain the proportion of new intakes that pass through each level of the cascade of care for SUD and MHD, and 2) describe agency-level factors that predict typology assignments and agency ability to assess client flow through the levels of the care cascade. Using Latent Class Analysis, we classify 791 agencies serving justice-involved individuals into typologies according to utilization of each stage in the mental health and substance cascades of care. Then, we examined county and agency characteristics that affect three stages of the cascade process: identification of need for behavioral health services, referrals to appropriate services, and treatment initiation. We build on previous work by exploring these patterns for both SUD and MHD treatment. The study identified four SUD/MHD treatment patterns: Low Access, SUD-Focused, High Need-High Access, and Lower Need-High Access classes. Factors influencing typology alignment include location, specialized staff availability, warm hand-off coordination, Medicaid reimbursement, and performance measure tracking. Thirty-nine percent (39 %) of agencies could not be classified because they were unable to report their rate of care along the cascade measures. Focusing on factors influencing typology assignment can help counties in assessing service delivery, identifying barriers, and targeting areas for improvements in policies and practices, potentially facilitating long-term changes and overall improvement in the care of individuals with mental health and substance use disorders. Identification of these factors and typologies can improve mental health treatment and access in counties and agencies with large resource barriers or limited attention to mental health treatment.

Background and Objectives: Although coordinated care (CC) seeks to improve patient experiences and ultimately health outcomes, evidence from empirical research on the impacts of CC is mixed. This study examined the relationship between CC and healthcare outcomes over a 4-year period among older adults with multiple chronic conditions. Research Design and Methods: This observational cohort study is based on data from the 2016–2020 Health and Retirement Study. Analysis is limited to respondents with 2+ chronic conditions who completed an experimental module on CC in 2016 (n = 906). Three domains of CC were assessed: perceptions, informal (family/friends) and formal (healthcare staff) tangible support, and technical support (using a “patient portal”). The longitudinal relationship between CC and health (e.g., pain, functioning, and self-rated health [SRH]) and healthcare (e.g., doctor visits, hospitalization, and care satisfaction) outcomes was investigated using mixed-effects models. Results: Better perceptions of CC were associated with lower odds of ADL limitations (Odds ratio [OR] = 0.91; 95% CI = 0.84–0.99) and greater satisfaction with care (B = 0.04, 95% CI = 0.02–0.06). Receipt of more informal tangible support was associated with 1.34 higher odds of ADL limitations (95% CI = 1.19–1.51) and 1.74 higher odds of hospitalization (95% CI = 1.07–1.21). Use of technical support was associated with better SRH and greater satisfaction with care. Discussion and Implications: The longitudinal relationship between CC and health is multifaceted. Although positive perceptions and more technical support have beneficial effects on health outcomes, higher utilization of tangible support may reflect a higher demand among older adults with more complex healthcare needs.