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Prediction of use of psychiatric services: Application of the CART algorithm

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An Erratum to this article was published on 01 March 1992

Abstract

A computerized recursive partitioning program called Classification and Regression Trees (CART) was used to identify potential high users of services among low-income psychiatric outpatients. Sociodemographic variables, clinical variables (e.g., psychiatric diagnosis and type of presenting complaint), source of referral and the most recent psychiatric treatment setting used were studied. Discharge from inpatient psychiatric treatment right before admission to outpatient psychiatric treatment was found to be the most consistent, the most powerful and the only necessary predictor of high use of outpatient psychiatric services.

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The authors thank Diane Sholomskas and Wade Halabi for their collaboration on this research.

An erratum to this article is available at http://dx.doi.org/10.1007/BF02521306.

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Boerstler, H., de Figueiredo, J.M. Prediction of use of psychiatric services: Application of the CART algorithm. The Journal of Mental Health Administration 18, 27–34 (1991). https://doi.org/10.1007/BF02521131

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