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Evaluation and Program Planning
Volume 30, Issue 2, May 2007, Pages 115-124
 
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doi:10.1016/j.evalprogplan.2007.01.002    How to Cite or Link Using DOI (Opens New Window)
Copyright © 2007 Elsevier Ltd All rights reserved.

Key considerations for logic model development in research partnerships: A Canadian case study

Sarah J. Fieldena, E-mail The Corresponding Author, Melanie L. Ruscha, E-mail The Corresponding Author, Mambo Tabu Masindaa, E-mail The Corresponding Author, Jim Sandsa, E-mail The Corresponding Author, Jim Frankisha, E-mail The Corresponding Author and Brian EvoyCorresponding Author Contact Information, a, E-mail The Corresponding Author

aInstitute of Health Promotion Research, University of British Columbia, 2206 East Mall, LPC Room# 435 Vancouver, BC, Canada V6T 1Z3

Received 26 September 2006; 
revised 5 December 2006; 
accepted 16 January 2007. 
Available online 26 January 2007.

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Abstract

Community-academic partnership research is a fairly new genre of community-based participatory research. It has arisen in part, from recognition of the potential role of alliances in the development and translation of applied knowledge and the elimination of health disparities. This paper reports on the learning process of academic and community members who worked together in developing a logic model for a research program focusing on partnerships with vulnerable populations. The Partners in Community Health Research is a 6-year training program that seeks to combine research, training, and practice through the work of its “learning clusters”. As these types of partnerships proliferate, the articulation and exploration of clear models will assist in their implementation. The authors, coming from both academia and community agencies, present a logic model meant to facilitate program management. Key considerations in the model's development are discussed in the context of an ongoing research partnership; namely, the complexity of the research partnership, power and accountability, alignment with health promotion policy, and the iterative nature of program design. Recommendations challenge academics, policy-makers, service providers, and community members to reflect on the elements needed to support and manage research partnerships and the tools necessary to ensure continued collaboration.

Keywords: Logic model; Partnership; Program evaluation; Community-based research; Training program; Vulnerable populations

Article Outline

1. Introduction
2. Program description
3. Understanding logic models
4. Methods
5. Key considerations
5.1. Complexity of partnership
5.2. Power and accountability
5.3. Guiding principles of health promotion
5.4. Iterative process
6. Lessons-learned and recommendations
7. Conclusions
Acknowledgements
References



 
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