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

Area of Science:

• Community-based participatory research
• Public Health Research
• Health Disparities Research

Background:

• Community-academic partnerships are emerging within community-based participatory research.
• These alliances are recognized for their role in knowledge development, translation, and reducing health disparities.
• The proliferation of such partnerships necessitates clear models for effective implementation.

Purpose of the Study:

• To report on the learning process of academic and community members developing a logic model.
• To present a logic model designed to facilitate program management in research partnerships.
• To discuss key considerations for developing and managing research partnerships with vulnerable populations.

Main Methods:

• Development of a logic model by academic and community partners.
• Utilizing a 6-year training program, 'Partners in Community Health Research,' involving 'learning clusters'.
• Discussion of key considerations: partnership complexity, power dynamics, policy alignment, and iterative design.

Main Results:

• A logic model was developed to guide research program management.
• The process highlighted the importance of addressing partnership complexity, power, accountability, policy alignment, and iterative design.
• Recommendations are provided for supporting and managing research partnerships.

Conclusions:

• Clear models are essential for the successful implementation of community-academic partnerships.
• Effective management requires careful consideration of partnership dynamics and an iterative approach.
• Collaboration between academics, policymakers, service providers, and community members is crucial for supporting research partnerships.