ArticleJournal of clinical and translational science2025
Identifying and addressing institutional barriers to community partner compensation for engaged research: A Clinical and Translational Science Award case study.
Article in Journal of clinical and translational science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed.
- Questions for more insightful and useful analyses of barriers and facilitators to public involvement and engagement in health research: a critical narrative review.Research involvement and engagement · 2026Review
- Cultivating Authentic Partnership: Cooperative Development of a Toolkit to Mitigate Group Harm in Biorepository-Enabled Research.Health expectations : an international journal of public participation in health care and health policy · 2026Article
- Who CaREs - We do: Development of a community and researcher engagement program in translational medicine.Research involvement and engagement · 2026Article
- Community feedback sessions: An adaptation of the community engagement studio model to enhance scalability.Journal of clinical and translational science · 2026Article
- Applying Principles of Community-Engaged Research.PRiMER (Leawood, Kan.) · 2026Article
- Institutional transformations for authentic community engaged and participatory research.Journal of clinical and translational science · 2026Article
- Consistent financial practices at community sites improve performance and sustainability: A case study of validated practices at a community clinical research site.Journal of clinical and translational science · 2026Article
- Researcher and community partner perspectives on community-engaged research during the COVID-19 pandemic.Journal of clinical and translational science · 2025Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Little guidance exists for developing institutional policies and procedures that support financial management of community-engaged research, including those related to compensating community partners equitably and efficiently for their expertise and time. To address this gap at our institution, the North Carolina Translational and Clinical Sciences Institute at the University of North Carolina at Chapel Hill (UNC) pursued an iterative, multi-pronged approach to identify and address institutional barriers and facilitators related to community partner compensation for research engagement. This case study describes the approach used to involve research administrative leadership, research teams, and community partners at UNC in the identification of institutional barriers to efficient partner compensation. It also elucidates our efforts to develop policies, processes, and resources to address these barriers. The approaches and solutions described can be adapted by other academic research institutions to enhance compensation processes and to facilitate incorporation of community perspectives into the design and implementation of institutional processes that directly impact their engagement in research.
Indexed as
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.