331346
Initial Evaluation of the Personalized Recovery Oriented Services (PROS) program
Methods. The employment and substance treatment analyses sample includes 3,543 individuals who were in PROS for at least 6 months (46% have a SUD). The hospitalization analysis uses a subsample of 1,526 discharged individuals. McNemar’s chi-square was used to examine pre and follow-up changes for the following outcomes: employment, educational activity, substance treatment engagement, and psychiatric hospitalizations. Mixed effects regression will be used to examine repeated measures of change over time on these outcomes. Data sources were the OMH state operated and community operated data systems and Medicaid.
Findings. From pre-admission to post-discharge, psychiatric hospitalization rate decreased significantly, from 24% to 14%. Substance related hospitalizations also decreased significantly (4% to 2%). Of those with a SUD, 55% were in treatment in the 6 months prior to admission, and 70% were in treatment at most recent follow-up; 40% moved to a later stage of treatment while in PROS. Competitive employment increased from 7% to 11%, and educational activity increased from 5% to 9%.
Implications. PROS serves a high number of dual diagnosis patients, yet successfully engages patients in employment and educational activity, and decreases psychiatric and substance related hospitalizations.
Learning Areas:
Conduct evaluation related to programs, research, and other areas of practiceProgram planning
Social and behavioral sciences
Learning Objectives:
Describe why Personalized Recovery Oriented Services successfully engages patients in employment and educational activity, and decreases psychiatric and substance related hospitalizations.
Keyword(s): Mental Health, Evaluation
Qualified on the content I am responsible for because: I have been the primary data analyst and a performance report author in evaluation of this and other NY state mental health programs for seven years. I have a PhD in Social Work and extensive training in statistical analysis and research methods.
Any relevant financial relationships? No
I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.