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Screening for severe mental disorder in jails
Authors:Linda A. Teplin  James Swartz
Affiliation:(1) Department of Psychiatry and Behavioral Sciences and Psycho-legal Studies Program, Northwestern University Medical School, and Northwestern Memorial Hospital, 215 E. Chicago Ave., Suite 708, 60611 Chicago, Illinois;(2) Treatment Alternatives to Street Crime, Inc., Chicago, Illinois
Abstract:Despite the demonstrated prevalence of severe mental disorder among jail detainees and the legal mandate to provide mental health services, most jails do not have the resources to incorporate traditional, time-consuming psychological assessment techniques into their routine intake process. As a result, a number of mentally ill jail detainees remain undetected and untreated. This study outlines the development of the ldquoReferral Decision Scalerdquo (RDS), which detects persons who have a high probability of having a severe mental disorder so that they can be given a complete diagnostic evaluation. The 14-item RDS was statistically derived using discriminant analysis from data collected via the NIMH Diagnostic Interview Schedule on 728 randomly selected male jail detainees and then validated on 1,149 prison inmates. The final validated version of the RDS had an overall sensitivity of 0.791, specificity of 0.987, and positive and negative predictive value of 0.791 and 0.013, respectively. Since these statistics far exceed current detection rates, the RDS is likely to facilitate the diversion of mentally ill detainees in situations where it is impractical to administer psychological examinations to all incoming inmates. Training requirements for the RDS and directions for future research are discussed.This research was supported in part by National Institute of Mental Health under grant No. R01MH37988. We would like to thank Karl Kilgore, Stuart Michaels, John Lyons, Karen Abram, Richard White, and Christine Davidson for their statistical insights and helpful comments. James Collins is due special thanks for making his North Carolina prison data available. We are also grateful to Philip Hardiman, Thomas Monahan, and Ronald Simmons for their cooperation with the data-collection process.
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