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Introduction Accountable care organizations have been successful in improving quality of care, but little is known about who is benefiting from accountable care organizations and through what mechanism. This study examined variation of potentially preventable hospitalizations for chronic conditions with coexisting depression in adults by hospital accountable care organization affiliation and care coordination strategies by race/ethnicity. Methods Data  files of 11 states from 2015 State Inpatient Databases were used to identify potentially preventable hospitalizations for chronic conditions with coexisting depression by race/ethnicity; the 2015 American Hospital Association's Annual Survey was used to identify hospital accountable care organization affiliation; and American Hospital Association's Survey of Care Systems and Payment (collected from January to August 2016) was used to identify hospital Accountable care organizations affiliation and hospital-based care coordination strategies, such as telephonic outreach, and chronic care management. In 2019, multiple logistic regressions was used to test the probability of potentially preventable hospitalization by accountable care organization affiliation and race/ethnicity. The test was repeated on a subsample analysis of accountable care organization–affiliated hospitals by care coordination strategy. Results Preventable hospitalizations were significantly lower among accountable care organization–affiliated hospitals than accountable care organization–unaffiliated hospitals. Lower preventable hospitalization rates were observed among white, African American, Native American, and Hispanic patients. Effective care coordination strategies varied by patients’ race. Results also showed variation of the adoption of specific care coordination strategies among accountable care organization–affiliated hospitals. Analysis further indicated effective care coordination strategies varied by patients’ race. Conclusions Accountable care organizations and specifically designed care coordination strategies can potentially improve preventable hospitalization rates and racial disparities among patients with depression. Findings support the integration of mental and physical health services and provide insights for Centers for Medicare and Medicaid Services risk adjustment efforts across race/ethnicity and socioeconomic status.

Purpose:  We propose a new theoretically grounded approach for estimating sexual orientation-related health risk that accounts for the unique and shared variance of sexual identity across other measures of sexual orientation (i.e., attraction and behavior). We argue and illustrate that this approach provides specificity not demonstrated by approaches that independently estimate and compare health risk based on sexual identity, attraction, and behavior. Methods:  Data were from the National Epidemiologic Survey on Alcohol and Related Conditions-III, collected in 2012–2013 (N = 36,309, ages 18 and older). The Karlson-Holm-Breen method tested the degree to which attraction- and behavior-based disparities in mental health and substance use disorders change after adjusting for sexual identity. Results:  Sexual attraction- and behavior-based disparities in mental health and substance use disorders statistically varied when comparing models that did and did not adjust for sexual identity. Adjusting for sexual identity appeared to have a larger influence on attraction- and behavior-based health associations among men; sexual minority and majority differences were attenuated on nearly every outcome after adjusting for sexual identity. This attenuation was less common among women. Among women, some behavior-based disparities were wider in sexual identity-adjusted models relative to unadjusted models. Conclusion:  We demonstrate more accurate approaches to capturing and comparing sexual orientation-related health disparities across multiple measures of sexual orientation, which account for the shared variance between sexual identity and measures of attraction and behavior. Adjusted estimates provide more specificity regarding relative health risk across specific subgroups of sexual minority people, and the intervention and prevention strategies needed to address them.

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