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Challenges of evaluating multilevel interventions.
Bonnie K Nastasi1, John Hitchcock
1Department of Psychology, 2007 Percival Stern Hall, Tulane University, New Orleans, LA 70130, USA. bnastasi@tulane.edu
American Journal of Community Psychology
|April 9, 2009
Summary
Evaluating complex multilevel interventions requires a comprehensive approach beyond traditional outcomes. The Comprehensive Mixed-Methods Participatory Evaluation (CMMPE) model offers a framework for assessing program success across multiple levels and stakeholders.
Area of Science:
- Public Health
- Program Evaluation
- Psychology
Background:
- Multilevel interventions are complex, requiring sophisticated evaluation methods.
- Traditional evaluation often focuses narrowly on outcomes, neglecting broader success factors.
- Community-based programs present unique challenges for rigorous evaluation.
Purpose of the Study:
- To present the Comprehensive Mixed-Methods Participatory Evaluation (CMMPE) model as a framework for evaluating multilevel interventions.
- To discuss the challenges inherent in evaluating complex, multilevel interventions using a sexual risk prevention program as an example.
- To broaden the definition of program success beyond traditional outcome measures.
Main Methods:
- Utilized the Comprehensive Mixed-Methods Participatory Evaluation (CMMPE) model.
- Employed a community-based multilevel sexual risk prevention program as a case study.
- Analyzed challenges in multilevel intervention-multilevel evaluation (M-M) designs.
Main Results:
- CMMPE defines program success through acceptability, integrity, social validity, outcomes, sustainability, and institutionalization.
- Evaluating multilevel interventions involves challenges such as feasibility of RCTs, stakeholder engagement, and contextual variations.
- Multilevel interventions necessitate multilevel evaluation designs (M-M).
Conclusions:
- The complexity of multilevel interventions challenges traditional evaluation research and experimental designs.
- Adopting comprehensive evaluation models like CMMPE is crucial for effective research translation into practice.
- Addressing evaluation complexities is vital for improving psychological and related disciplines.
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