ArticleJournal of clinical and translational science2025
Make me a match: Creating research partnerships to build capacity for the evaluation of community initiatives.
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. Not yet cited in PubMed.
What it found
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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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
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Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: While organizations leading community initiatives play a crucial role in tackling public health challenges, their difficulties in designing rigorous evaluations often undermine the strength of their proposals and diminish their chances of securing funding. We developed a matching service funded by the Robert Wood Johnson Foundation's Evidence for Action program to bridge these gaps. This service identified matched applicants involved in community-engaged research with evaluation experts to provide complementary expertise, strengthen evaluation capacity, and enhance participants' ability to secure funding. Methods: We conducted a mixed-methods evaluation of the pilot phase of the Accelerating Collaborations for Evaluation Matching Service from August 2018 to February 2021. Data sources included program records, participant surveys administered at 3-, 6-, and 12-months post-match, and semi-structured interviews conducted at 12-18 months post-match. We assessed outcomes such as match success, resubmissions, funding rates, and participant satisfaction. Results: Over the 2.5-year pilot period, the matching service successfully matched 20 of 24 referred applicants. Among these, 50% submitted revised proposals, and a third of secured funding. Survey results indicated widespread satisfaction with the partnerships. One-year interviews highlighted complementary expertise, bidirectional learning, and capacity-building as key benefits of these partnerships. Conclusion: This pilot demonstrated the feasibility, acceptability, and impact of the matching service in creating rewarding collaborations for community-engaged researchers. Beyond funding outcomes, participants uniformly valued the partnerships and described them as mutually satisfying. This model offers a scalable approach to creating research partnerships to build capacity for the evaluation of community initiatives.
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Registered trials
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