Engage for Equity: Development of Community-Based Participatory Research Tools.
Myra ParkerNina WallersteinBonnie DuranMaya MagaratiEllen BurgessShannon Sanchez-YoungmanBlake BoursawAmanda HeffernanJustin GarouttePaul KoegelPublished in: Health education & behavior : the official publication of the Society for Public Health Education (2021)
We developed a set of four community-based participatory research (CBPR) partnership tools aimed at supporting community-academic research partnerships in strengthening their research processes, with the ultimate goal of improving research outcomes. The aim of this article is to describe the tools we developed to accomplish this goal: (1) the River of Life Exercise; (2) a Partnership Visioning Exercise; (3) a personalized Partnership Data Report of data from academic and community research partners; and (4) a Promising Practices Guide with aggregated survey data analyses on promising CBPR practices associated with CBPR and health outcomes from two national samples of CBPR projects that completed a series of two online surveys. Relying on Paulo Freire's philosophy of praxis, or the cycles of collective reflection and action, we developed a set of tools designed to support research teams in holding discussions aimed at strengthening research partnership capacity, aligning research partnership efforts to achieve grant aims, and recalling and operationalizing larger social justice goals. This article describes the theoretical framework and process for tool development and provides preliminary data from small teams representing 25 partnerships who attended face-to-face workshops and provided their perceptions of tool accessibility and intended future use.
Keyphrases
- resistance training
- body composition
- healthcare
- high intensity
- electronic health record
- mental health
- primary care
- big data
- quality improvement
- cross sectional
- health information
- metabolic syndrome
- social media
- type diabetes
- data analysis
- adipose tissue
- physical activity
- risk assessment
- machine learning
- human health
- antiretroviral therapy