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

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

Conceptualizing trust in community-academic research partnerships using concept mapping approach: A multi-CTSA study.

ObjectivesCollaborations between communities, healthcare practices and academic institutions are a strategy to address health disparities. Trust is critical in the development and maintaining of effective collaborations. The aim of this pilot study was to engage stakeholders in defining determinants of trust in community academic research partnerships and to develop a framework for measuring trust.MethodsThe study was conducted by five collaborating National Institute of Health' Clinical and Translational Sciences Awardees. We used concept mapping to engage three stakeholders: community members, healthcare providers and academicians. We conducted hierarchical cluster analysis to assess the determinants of trust in community-academic research partnerships.ResultsA total of 186 participants provided input generating 2,172 items that were consolidated into 125 unique items. A five cluster solution was defined: authentic, effective and transparent communication; mutually respectful and reciprocal relationships; sustainability; committed partnerships; and, communication, credibility and methodology to anticipate and resolve problems.ConclusionResults from this study contribute to an increasing empirical body of work to better understand and improve the underlying factors that contribute to building and sustaining trust in community academic research partnerships

Conceptualizing trust in community-academic research partnerships using concept mapping approach: A multi-CTSA study

ObjectivesCollaborations between communities, healthcare practices and academic institutions are a strategy to address health disparities. Trust is critical in the development and maintaining of effective collaborations. The aim of this pilot study was to engage stakeholders in defining determinants of trust in community academic research partnerships and to develop a framework for measuring trust.MethodsThe study was conducted by five collaborating National Institute of Health' Clinical and Translational Sciences Awardees. We used concept mapping to engage three stakeholders: community members, healthcare providers and academicians. We conducted hierarchical cluster analysis to assess the determinants of trust in community-academic research partnerships.ResultsA total of 186 participants provided input generating 2,172 items that were consolidated into 125 unique items. A five cluster solution was defined: authentic, effective and transparent communication; mutually respectful and reciprocal relationships; sustainability; committed partnerships; and, communication, credibility and methodology to anticipate and resolve problems.ConclusionResults from this study contribute to an increasing empirical body of work to better understand and improve the underlying factors that contribute to building and sustaining trust in community academic research partnerships

Conceptualizing trust in community-academic research partnerships using concept mapping approach: A multi-CTSA study

ObjectivesCollaborations between communities, healthcare practices and academic institutions are a strategy to address health disparities. Trust is critical in the development and maintaining of effective collaborations. The aim of this pilot study was to engage stakeholders in defining determinants of trust in community academic research partnerships and to develop a framework for measuring trust.MethodsThe study was conducted by five collaborating National Institute of Health’ Clinical and Translational Sciences Awardees. We used concept mapping to engage three stakeholders: community members, healthcare providers and academicians. We conducted hierarchical cluster analysis to assess the determinants of trust in community-academic research partnerships.ResultsA total of 186 participants provided input generating 2,172 items that were consolidated into 125 unique items. A five cluster solution was defined: authentic, effective and transparent communication; mutually respectful and reciprocal relationships; sustainability; committed partnerships; and, communication, credibility and methodology to anticipate and resolve problems.ConclusionResults from this study contribute to an increasing empirical body of work to better understand and improve the underlying factors that contribute to building and sustaining trust in community academic research partnerships.<br/