• Am J Emerg Med · May 2016

    Association of mental health disorders and Medicaid with ED admissions for ambulatory care-sensitive condition conditions.

    • Cara Bergamo, Elizabeth Juarez-Colunga, and Roberta Capp.
    • Denver Health Emergency Medicine Program, Denver Health Medical Center, Denver, CO. Electronic address: cara.bergamo@denverem.org.
    • Am J Emerg Med. 2016 May 1; 34 (5): 820-4.

    IntroductionAdult Medicaid enrollees are more likely to have mental health disorders (MHDs) than privately insured patients and also have high rates of emergency department (ED) visits for ambulatory care-sensitive conditions (ACSCs). We aimed to evaluate the association of MHD and insurance type with ED admissions for ACSC in the United States.MethodsWe conducted a cross-sectional study of ED visits made by adults aged 18 to 64 years using the corrected 2011 National Emergency Department Survey. Using multivariable logistic regression analysis, we controlled for sociodemographics and clinical variables to determine the association between insurance type, MHD, Medicaid, and MHD (as an interaction variable) and ED admissions for ACSC.ResultsThere were 131 million ED visits in 2011; after exclusions, 1.4 million admissions were included in our study. Of all ED visits, 44.7% had an MHD, of which 49.9% were covered by Medicaid and 38.1% were covered by private insurance. A total of 32.6% (95% confidence interval, 32.5%-32.7%) of ED admissions were for an ACSC. Medicaid-covered ED visits were more likely to result in ACSC hospital admission (odds ratio, 1.32; 95% confidence interval, 1.30-1.35) compared with visits covered by private insurance. Among patients with MHD, those with Medicaid insurance had 1.6 times the odds of ACSC admission compared with those privately insured.ConclusionAmong all ED admissions, patients covered by Medicaid are more likely to be admitted for an ACSC when compared with those covered by private insurance, with a larger association being present among patients with MHD comorbidities.Copyright © 2016 Elsevier Inc. All rights reserved.

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