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Harmonizing databases? Developing a quasi-experimental design to evaluate a public mental health re-entry program.

Stephanie W Hartwell¹, Xiaogang Deng, William Fisher

¹Department of Sociology, University of Massachusetts at Boston, 100 Morrissey Blvd, Boston, MA 02125, United States. stephanie.hartwell@umb.edu

Evaluation and Program Planning

|March 23, 2012

Summary

This study evaluated the Massachusetts Forensic Transition Team (FTT) program for adults with serious mental illness (SMI) post-incarceration. Merged administrative data showed the FTT program

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Area of Science:

Public Health
Mental Health Services Research
Health Services Administration

Background:

The Massachusetts Department of Mental Health (DMH) Forensic Transition Team (FTT) program, established in 1998, aims to support offenders with serious mental illness (SMI) transitioning from correctional facilities.
Effective post-incarceration support is crucial for individuals with SMI to reduce recidivism and improve community reintegration.

Purpose of the Study:

To evaluate the effectiveness of the FTT program in improving post-incarceration outcomes for adults with SMI.
To inform future public health program evaluations utilizing merged administrative databases and electronic health records.

Main Methods:

Utilized merged administrative data from Massachusetts state agencies for the years 2007-2011.
Compared outcomes of FTT clients with serious mental health disorders to a control group of released prisoners not meeting DMH service criteria.
Systematically documented study design and encountered barriers.

Main Results:

The study provides a comprehensive evaluation of the FTT program's impact on post-incarceration outcomes.
Identified challenges and facilitators in using merged administrative data for program evaluation.

Conclusions:

The FTT program represents a significant initiative for managing SMI offenders post-release.
The methodology employed offers valuable insights for future evaluations of public mental health programs using integrated data sources.