Using Concept Mapping to Identify Community Partners' and Researchers' Perceptions of Social Justice: A Path Toward Eliminating Chronic Disease Disparities.

Abstract

Background: A social justice framework can be used to inform healthy equity-focused research, and operationalizing social justice can inform strategic planning for research and practice models. This study aimed to develop a working definition of social justice based on input from a diverse group of collaborators to better inform the work conducted within the Center for Research, Health, and Social Justice.

Methods: A concept mapping study was conducted from March to May 2022. A prompt designed to elicit social justice themes was developed (phase 1). At a study website, participants brainstormed statements that represented their definition of social justice (phase 2). Participants then sorted statements based on similarity and rated statements on importance (phase 3). Multidimensional scaling and hierarchical cluster analysis were used to identify nonoverlapping thematic clusters of statements (phase 4). Models were reviewed for best fit, and clusters were assigned names based on theme (phase 5).

Results: Participants (n = 49) generated 52 unique statements that were sorted into 5 clusters describing social justice themes. Clusters included (1) Empathy, Awareness, and Understanding (n = 11); (2) Education and Systems Change (n = 10); (3) Policy Design and Implementation (n = 9); (4) Equity and Leveling the Playing Field (n = 11); and (5) Access to Services and Fair Living Standard (n = 11). High mean cluster ratings ranging from 5.22 to 6.02 out of 7 indicated all clusters were rated as being very important aspects of social justice.

Conclusions: These data can guide the restructuring of research ecosystems that help eliminate race- and place-based health disparities.