| Title |
Predicting the Long-Term Sustainability of Evidence-Based Practices in Mental Health Care: An 8-Year Longitudinal Analysis
|
|---|---|
| Published in |
The Journal of Behavioral Health Services & Research, May 2013
|
| DOI | 10.1007/s11414-013-9347-x |
| Pubmed ID | |
| Authors |
Alison E. Peterson, Gary R. Bond, Robert E. Drake, Gregory J. McHugo, Amanda M. Jones, Jessica R. Williams |
| 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. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 72 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 19% |
| Researcher | 13 | 18% |
| Student > Doctoral Student | 13 | 18% |
| Professor > Associate Professor | 4 | 6% |
| Professor | 3 | 4% |
| Other | 9 | 13% |
| Unknown | 16 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 17 | 24% |
| Social Sciences | 11 | 15% |
| Medicine and Dentistry | 7 | 10% |
| Nursing and Health Professions | 6 | 8% |
| Business, Management and Accounting | 6 | 8% |
| Other | 4 | 6% |
| Unknown | 21 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 August 2014.
All research outputs
#19,440,618
of 23,911,072 outputs
Outputs from The Journal of Behavioral Health Services & Research
#439
of 469 outputs
Outputs of similar age
#149,207
of 197,643 outputs
Outputs of similar age from The Journal of Behavioral Health Services & Research
#11
of 13 outputs
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