ArticleJournal of clinical and translational science2023
The Community Research Liaison Model: Facilitating community-engaged research.
Article in Journal of clinical and translational science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed, 7 citations in OpenAlex.
- Perceived Barriers to Accessing Clinical Resources for Chronic Illnesses in Residents of Black Communities in Allegheny County, Pennsylvania.Journal of racial and ethnic health disparities · 2026Article
- Tailoring an auricular point acupressure self-management program for chronic pain: lessons learned from rural partners.Frontiers in pain research (Lausanne, Switzerland) · 2026Article
- The Fallacy of Community-Based Research.Journal of general internal medicine · 2026Article
- Community leaders' perceptions of pain and research engagement: Implications for participant diversity and inclusion in pain clinical trials.The journal of pain · 2025Article
- Veterinary-led interventions and owner perceptions of male cat sterilization: Insights from a community-based initiative in Malang, Indonesia.Veterinary world · 2025Article
- Characteristics of research review boards in the context of community-academic settings: A scoping review.Journal of clinical and translational science · 2025Review
- A retrospective descriptive review of community-engaged research projects addressing rural health priorities.BMC medical education · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 2 institutions in 1 country.
Funding
Abstract
The Community Research Liaison Model (CRLM) is a novel model to facilitate community-engaged research (CEnR) and community-academic research partnerships focused on health priorities identified by the community. This model, informed by the Principles of Community Engagement, builds trust among rural communities and expands capacity for community and investigator-initiated research. We describe the CRLM development process and how it is operationalized today. We followed a multi-phase process to design and implement a community engagement model that could be replicated. The resulting CRLM moves community-academic research collaborations from objectives to outputs using a conceptual framework that specifies our guiding principles, objectives, and actions to facilitate the objectives (i.e., capacity, motivations, and partners), and outputs. The CRLM has been fully implemented across Oregon. Six Community Research Liaisons collectively support 18 predominantly rural Oregon counties. Since 2017, the liaison team has engaged with communities on nearly 300 community projects. The CRLM has been successful in facilitating CEnR and community-academic research partnerships. The model has always existed on a dynamic foundation and continues to be responsive to the lessons learned by the community and researchers. The model is expanding across Oregon as an equitable approach to addressing health disparities across the state.
Indexed as
Identifiers
What OpenQuestion holds
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.