This study examined predictors of readmission for a sample of 522 adolescents enrolled in Medicaid and admitted to three inpatient psychiatric hospitals in Maryland. Comprehensive data on clinical, treatment, and health care system characteristics were collected from archival sources (medical records, Medicaid claims, and Area Resource File). Predictors of readmission were examined with bivariate (Kaplan Meier) and multivariate (Cox Regression) survival techniques. One year readmission rates were 38% with the majority occurring within 3 months after discharge. Adolescent demographic (age and gender), clinical (severity of symptoms, comorbidity, suicidality) and family characteristics (level of family risk) were associated with readmission. However, treatment factors including type of aftercare, post-discharge living environment, medication noncompliance, and hospital provider were among the strongest predictors of readmission. Study findings underscore the importance of careful discharge planning and linkage to appropriate aftercare. The differing rates of readmission across hospitals also suggest that organizational level factors may play a vital role in determining treatment outcomes.
Keywords inpatient psychiatric hospitalization; adolescents; readmissionIt is estimated that 24% to 37% of youths will be readmitted to a psychiatric hospital within one year after discharge, and latest data suggest that rates of readmission are increasing despite cost-containment efforts and emphasis on community-based treatment alternatives (Blader, 2004;Fontanella, Zuravin, & Burry, 2006;Pavkov, Goerge, Lee, & Howard, 1994; Soloman, Evans, & Delaney, 1993). In the United States, inpatient services account for about 33% ($3.9 billion) of the total mental health expenditures for children and adolescents; across age groups adolescents are the highest users of inpatient services (Ringel & Sturm, 2001).Some researchers speculate that the increased readmission rates can be attributed to premature discharges resulting from shortened lengths of stay (Appley, Desai, Luchins, Gibbons, & Hedeker, 1993;Lien, 2002;Wickizer, Lessler, & Boyd-Wickizer, 1999). In fact, studies on Medicaid populations (Callahan, Shepard, Beinecke, Larson, & Cavanaugh, 1995;Dickey, Normand, Norton, Rupp, & Azeni, 2001;Saunders & Heflinger, 2003) have shown increasesCorrespondence concerning this article should be addressed to Cynthia A. Fontanella, College of Social Work, The Ohio State University, 1947 College Road, Columbus, Ohio 43210. E-mail: fontanella.4@osu.edu. Publisher's Disclaimer: The following manuscript is the final accepted manuscript. It has not been subjected to the final copyediting, fact-checking, and proofreading required for formal publication. It is not the definitive, publisher-authenticated version. The American Psychological Association and its Council of Editors disclaim any responsibility or liabilities for errors or omissions of this manuscript version, any version derived from this manuscript by NIH, or other third parties. ...