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Participatory logic modeling in a multi-site initiative to advance implementation science
Douglas V Easterling1, Rebekah R Jacob2, Ross C Brownson2,3
1Department of Social Sciences and Health Policy, Wake Forest School of Medicine, Winston-Salem, NC, 27157, USA. dveaster@wakehealth.edu.
Participatory logic modeling, involving grantees in developing program logic models, enhances buy-in and improves evaluation design and program strategy for multi-site initiatives. This collaborative approach benefits funders, grantees, and evaluators by incorporating diverse insights and clarifying expectations.
Area of Science:
- Program Evaluation
- Implementation Science
- Health Initiatives
Background:
- Logic models are crucial evaluation tools mapping program outcomes.
- Funders encourage logic models, but often exclude grantees from their development.
- Participatory logic modeling is increasingly recognized as essential for effective program evaluation.
Purpose of the Study:
- To describe a US funder's engagement of grantees in developing an initiative's logic model.
- To highlight the benefits of participatory logic modeling in a multi-site context.
- To examine the case of the National Cancer Institute's Implementation Science Centers in Cancer Control (ISC3) initiative.
Main Methods:
- A reflective case study approach was used.
- Representatives from seven funded centers collectively constructed the study.
- The Cross-Center Evaluation (CCE) Work Group documented the logic model development and refinement process.
Main Results:
- Grantees' input significantly altered the initial ISC3 logic model.
- Authentic participation fostered strong grantee buy-in and utilization of the logic model.
- Funded centers adapted their evaluation designs and programmatic strategies based on the logic model.
Conclusions:
- Participatory logic modeling offers mutual benefits for funders, grantees, and evaluators in multi-site initiatives.
- Grantees provide valuable insights into feasibility, required resources, and contextual factors influencing success.
- Collaborative logic model development enhances grantee understanding of funder expectations, improving alignment and outcomes.
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