Predicting the Long-term Sustainability of Evidence-based Practices in Mental Health Care: an 8-year Longitudinal Analysis

Overview

Journal J Behav Health Serv Res

Publisher Springer

Specialty Health Services

Date 2013 May 28

PMID 23709327

Citations 34

Authors

Alison E Peterson

Gary R Bond

Robert E Drake

Gregory J McHugo

Amanda M Jones

Jessica R Williams

Affiliations

Soon will be listed here.

Abstract

Few studies have examined predictors of long-term sustainability of evidence-based practices in mental health. This study used assessments of five evidence-based practices implemented in 49 sites in eight states at baseline and years 2, 4, and 8. Program characteristics, implementation characteristics, reinforcement activities, and sustainability factors were used to predict program survival status. The majority of predictors were not significant. Supervisor turnover in year 4 predicted survival status in year 8, but site characteristics, fidelity at implementation, quality improvement activities, and post-implementation activities had little impact on long-term program survival. This study extends previous sustainability research by examining the long-term impact of internal program factors over a substantial period of time using longitudinal prediction. Future research should also consider the influence of external factors such as financial policies.

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