ArticleJournal of general internal medicine2022
A Study Examining the Usefulness of a New Measure of Research Engagement.
Article in Journal of general internal medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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
6 citing papers in PubMed, 9 citations in OpenAlex.
- Introducing PROSPECT: a novel process for prospectively tracking research engagement.Health research policy and systems · 2025Article
- Evaluating the success of community engagement in the Implementation Science Center for Cancer Control Equity.Journal of clinical and translational science · 2025Article
- Guiding the Implementation of Wastewater-based Surveillance for Carceral Infection Control with Perspectives from People with Lived Experience of Incarceration during the COVID-19 Pandemic.Research square · 2024Article
- Addressing underrepresentation in genomics research through community engagement.American journal of human genetics · 2022Review
- Construct validation of the Research Engagement Survey Tool (REST).Research involvement and engagement · 2022Article
- Patient and Veteran Engagement in Health Research: the Emergence of a Field of Study.Journal of general internal medicine · 2022Article
Corrections and comments
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Authors and funding
5 authors at 4 institutions in 1 country.
Funding
Abstract
introductionEngagement of relevant stakeholders' ideas, opinions, and concerns is critical to the success of modern research projects. We have developed a tool to measure stakeholder engagement, called the Research Engagement Survey Tool (REST). The purpose of this paper is to present the implementation and uptake of the stakeholder engagement measure REST among research teams, including the assessment of barriers and facilitating factors for use of the new research engagement measure in practice.
methodsIn this implementation study, project team members participated in baseline and follow-up web-based surveys. Web-based interviews were conducted with a subset of project teams that implemented the REST. On the baseline survey, project teams were asked to provide details about up to three ongoing or recently completed projects, were asked if they agreed with compensation for REST completion, and were asked if they would like to send the survey to stakeholders or would prefer our project team to email their project stakeholders. Follow-up surveys contained questions on reactions to implementing REST and results of REST.
resultsProject team members/researchers who completed the baseline survey (n=86) were mostly female (79%) and Non-Hispanic/Latino(a) White (76%). Those who implemented REST were also mostly female (86%) and Non-Hispanic/Latino(a) White (71%), with an average of 11 years in academic research. About 98% of all participants completing the baseline survey had the capacity to survey partners, while 100% of all teams who implemented REST did. A small portion of respondents indicated the time commitment of REST would be a barrier (29% of baseline survey respondents, 10% of those who implemented REST) and indicated workload would be a barrier (31% of baseline survey respondents, 14% of those who implemented REST). DISCUSSION: The data presented here indicate that REST implementation is feasible in a volunteer group of ongoing research projects.
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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.