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Statistical Models to Predict Mental Illness Among State and Federal Prisoners

NCJ Number
252633
Date Published
June 2021
Length
121 pages
Author(s)
Jeremy Aldworth, Phillip Kott, RTI International; Sarra Hedden, Substance Abuse and Mental Health Services Administration (former); Joseph Gfroerer (former consultant), Lauren Beatty, Bureau of Justice Statistics
Agencies
BJS-Sponsored
Publication Type
Third-Party Report, Report (Grant-Sponsored)
Grant Number(s)
HHSS283201000003C
Abstract

The Substance Abuse and Mental Health Services Administration (SAMHSA) developed a model-based methodology to obtain nationally representative estimates of serious mental illness (SMI) and any mental illness (AMI) among the adult U.S. civilian, non-institutionalized population in the 2008-12 Mental Health Surveillance Study (MHSS) as part of the National Survey on Drug Use and Health (NSDUH). This paper examines the feasibility of adapting and applying this methodology to 2016 Survey of Prison Inmates (SPI) data, collected by the Bureau of Justice Statistics (BJS), to obtain nationally representative estimates of SMI and AMI among state and federal prisoners.

Date Created: June 16, 2021