Associations between Social Adversities and Chronic Medical Conditions in a Statewide Sample of Individuals in Treatment for Mental Illnesses.

Individuals with mental illnesses experience disproportionately high rates of social adversities, chronic medical conditions, and early mortality. We analyzed a large, statewide dataset to explore associations between four social adversities and the presence of one or more, and then two or more, chronic medical conditions among individuals in treatment for mental illnesses in New York State. In Poisson regression models adjusting for multiple covariates (e.g., gender, age, smoking status, alcohol use), the presence of one or more adversities was associated with the presence of at least one medical condition (prevalence ratio (PR) = 1.21) or two or more medical conditions (PR = 1.46), and two or more adversities was associated with at least one medical condition (PR = 1.25) or two or more medical conditions (PR = 1.52) (all significant at p < .0001). Greater attention to primary, secondary, and tertiary prevention of chronic medical conditions is needed in mental health treatment settings, especially among those experiencing social adversities.

Associations Between Cumulative Social Adversities and Substance Use Comorbidity in a Statewide Sample of Individuals in Treatment for Mental Illnesses.

ABSTRACT: We sought to investigate associations of cumulative social adversities in four areas (low education, unemployment, homelessness, and criminal/legal involvement) with presence of comorbid alcohol and drug use disorders among individuals in treatment for mental illnesses. Using data from 103,416 adults in mental health treatment, generalized estimating equation modified Poisson models were used to estimate increased risk of having comorbid substance use disorders based on individual and/or cumulative number of social adversities present. Controlling for effects of sex, race/ethnicity, and region (New York City vs . the rest of the State), as well as for the other social adversities, each of four social adversities was associated with presence of substance use comorbidity. Relative to having none of the social adversities, the presence of one, two, three, or four was associated with an increased prevalence ratio (PR) of having substance use comorbidity: 1.44, 2.10, 2.66, and 2.92; all p 's < 0.0001. PRs were greater among female patients, and among Hispanics and those classified as other or multiracial compared with non-Hispanic Whites or non-Hispanic Blacks. Findings indicate substantial associations between four social adversities and presence of substance use comorbidity; the strength of association with the four social adversities is cumulative.

Racial and Ethnic Disparities in Health Care Access and Utilization among Medicaid Managed Care Beneficiaries.

This quasi-experimental study examined the impact of a statewide integrated special needs program Health and Recovery Plan (HARP) for individuals with serious mental illness and identified racial and ethnic disparities in access to Medicaid services. Generalized estimating equation negative binomial models were used to estimate changes in service use, difference-in-differences, and difference-in-difference-in-differences in the pre- to post-HARP periods. Implementation of the special needs plan contributed to reductions in racial/ethnic disparities in access and utilization. Notable among those enrolled in the special needs plan was the declining Black-White disparities in emergency room (ER) visits and inpatient stays, but the disparity in non-behavioral health clinic visits remains. Also, the decline of Hispanic-White disparities in ER, inpatient, and clinic use was more evident for HARP-enrolled patients. Health equity policies are needed in the delivery of care to linguistically and culturally disadvantaged Medicaid beneficiaries.

Prevalence and Correlates of Four Social Determinants in a Statewide Survey of Licensed Mental Health Services.

OBJECTIVE: This analysis examined the distribution of four social determinants of health among recipients of state-licensed mental health services and analyzed relationships between determinants and individuals' clinical and demographic characteristics. METHODS: With data from the New York State Office of Mental Health 2017 Patient Characteristics Survey (N=103,416), prevalences of four social determinants (education, employment, housing, and criminal legal involvement) among mental health service recipients were described. Results were stratified to explore differences by diagnosis, gender, race and ethnicity, and region of residence. RESULTS: High proportions had low education (20.9%), unemployment (79.1%), homelessness (8.2%), and criminal legal involvement (12.2%), surpassing statistics for the general state population. Prevalences of alcohol-related, drug-related, and psychotic disorders were higher among these groups than were prevalences of other diagnoses. People of color and male recipients were overrepresented among those with adverse social determinants. CONCLUSIONS: Results highlight the magnitude of social adversity among those receiving mental health services, as well as potential inequities.

Impact of the 1115 behavioral health Medicaid waiver on adult Medicaid beneficiaries in New York State.

OBJECTIVE: To evaluate the impact of the Health and Recovery Plan (HARP), a capitated special needs Medicaid managed care product that fully integrates physical and behavioral health delivery systems in New York State. DATA SOURCES: 2013-2019 claims and encounters data on continuously enrolled individuals from the New York State Medicaid data system. STUDY DESIGN: We used a difference-in-difference approach with inverse probability of exposure weights to compare service use outcomes in individuals enrolled in the HARP versus HARP eligible comparison group in two regions, New York City (NYC) pre- (2013-2015) versus post- (2016-2018) intervention periods, and rest of the state (ROS) pre- (2014-2016) versus post- (2017-2019) intervention periods. DATA COLLECTION/EXTRACTION METHODS: Not applicable. PRINCIPAL FINDINGS: HARPs were associated with a relative decrease in all-cause (RR = 0.78, 95% CI 0.68-0.90), behavioral health-related (RR = 0.76, 95% CI 0.60-0.96), and nonbehavioral-related (RR = 0.87, 95% CI 0.78-0.97) stays in the NYC region. In the ROS region, HARPs were associated with a relative decrease in all-cause (RR = 0.87, 95% CI 0.80-0.94) and behavioral health-related (RR = 0.80, 95% CI 0.70-0.91) stays. Regarding outpatient visits, the HARPs benefit package were associated with a relative increase in behavioral health (RR = 1.21, 95% CI 1.13-1.28) and nonbehavioral health (RR = 1.08, 95% CI 1.01-1.15) clinic visits in the NYC region. In the ROS region, the HARPs were associated with relative increases in behavioral health (RR = 1.47, 95% CI 1.32-1.64) and nonbehavioral health (RR = 1.17, 95% CI 1.11-1.25) clinic visits. CONCLUSIONS: Compared to patients with similar clinical needs, HARPs were associated with a relative increase in services used and led to a better engagement in the HARPs group regardless of the overall decline in services used pre- to postperiod.