Abstract
Background: Evidence-based treatments (EBTs) are not widely available in community mental health settings. In response to the call for implementation of evidence-based treatments in the United States, states and counties have mandated behavioral health reform through policies and other initiatives. Evaluations of the impact of these policies on implementation are rare. A systems transformation about to occur in Philadelphia, Pennsylvania, offers an important opportunity to prospectively study implementation in response to a policy mandate.Methods/design: Using a prospective sequential mixed-methods design, with observations at multiple points in time, we will investigate the responses of staff from 30 community mental health clinics to a policy from the Department of Behavioral Health encouraging and incentivizing providers to implement evidence-based treatments to treat youth with mental health problems. Study participants will be 30 executive directors, 30 clinical directors, and 240 therapists. Data will be collected prior to the policy implementation, and then at two and four years following policy implementation. Quantitative data will include measures of intervention implementation and potential moderators of implementation (i.e., organizational- and leader-level variables) and will be collected from executive directors, clinical directors, and therapists. Measures include self-reported therapist fidelity to evidence-based treatment techniques as measured by the Therapist Procedures Checklist-Revised, organizational variables as measured by the Organizational Social Context Measurement System and the Implementation Climate Assessment, leader variables as measured by the Multifactor Leadership Questionnaire, attitudes towards EBTs as measured by the Evidence-Based Practice Attitude Scale, and knowledge of EBTs as measured by the Knowledge of Evidence- Based Services Questionnaire. Qualitative data will include semi-structured interviews with a subset of the sample to assess the implementation experience of high-, average-, and low-performing agencies. Mixed methods will be integrated through comparing and contrasting results from the two methods for each of the primary hypotheses in this study.Discussion: Findings from the proposed research will inform both future policy mandates around implementation and the support required for the success of these policies, with the ultimate goal of improving the quality of treatment provided to youth in the public sector.
Original language | English (US) |
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Article number | 38 |
Journal | Implementation Science |
Volume | 8 |
Issue number | 1 |
DOIs | |
State | Published - Mar 24 2013 |
Funding
We are especially grateful for the support the Department of Behavioral Health and Intellectual DisAbility Services has provided for this project, and for the Evidence Based Practice and Innovation (EPIC) group. Funding for this research project was supported by the following grants from NIMH: (K23 MH099179, Beidas). Additionally, the preparation of this article was supported in part by the Implementation Research Institute (IRI), at the George Warren Brown School of Social Work, Washington University in St. Louis; through an award from the National Institute of Mental Health (R25 MH080916) and Quality Enhancement Research Initiative (QUERI), Department of Veterans Affairs Contract, Veterans Health Administration, Office of Research & Development, Health Services Research & Development Service. Dr. Beidas is an IRI fellow. We would like to thank the following experts who provided their time and input on this project: Dr. Marc Atkins, Dr. Ross Brownson, Dr. David Chambers, Dr. Charles Glisson, Dr. Nicholas Ialongo, Dr. John Landsverk, and Dr. Enola Proctor. We are also grateful for the time and effort provided by Steven Lucas and Margaret Mary Downey with this project.
Keywords
- Community mental health
- Evidence-based practice
- Fidelity
- Implementation
- Organizational variables
- Policy
ASJC Scopus subject areas
- Public Health, Environmental and Occupational Health
- Health Policy
- Health Informatics