Trial reportBMC public health2026
Effective and cost-effective strategies for recruiting rural adults into a civic engagement and health behavior change research study.
Trial report in BMC public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05002660 (Evaluation of a Civic Engagement Approach to Catalyze Built Environment Change and Promote Healthy Eating and Physical Activity Among Rural Residents), which is not on this map. Cited by 4 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.
Evaluation of a Civic Engagement Approach to Catalyze Built Environment Change and Promote Healthy Eating and Physical Activity Among Rural Residents
Who cites it
4 citing papers in PubMed.
- Associations Between Diet Quality and Psychosocial and Environmental Factors in Rural Adults.Journal of nutrition education and behavior · 2026Trial
- The Change Club intervention: 2-year impacts from a cluster-randomized trial in rural communities in New York and Texas.Frontiers in public health · 2026Trial
- Reach and representativeness within a rural randomized controlled trial designed to improve community health through civic engagement for built environment change in Texas and New York.Wellbeing, space and society · 2026Article
- Identifying and Removing Fraudulent Attempts to Enroll in a Human Health Improvement Intervention Trial in Rural Communities.Methods and protocols · 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.
Funding
Abstract
backgroundRural populations have worse health outcomes than urban populations. Community-based health interventions can help to improve these outcomes, but rural populations are underrepresented in research. The goals of the study were to describe and examine the effectiveness and cost-effectiveness of strategies to recruit into a rural, community-based health intervention study.
methodsThe Change Club study is a community-based health intervention conducted in medically underserved rural communities in Texas and New York to assess whether a civic engagement program improves health among intervention participants and their communities. The study was promoted online, via mailings, email, educators, flyers/posters, and traditional media, and encouraged referrals from friends and family members. For each recruitment strategy, the resulting number of enrolled participants and costs were compiled.
resultsThe most effective recruitment strategy was letters, which contributed 37.7% of participants, followed by friends/family (23.2%), postcards (22.3%), social media advertisements (13.3%), and flyers/posters (8.4%). The overall cost per enrolled participant was 12.36). The least cost-effective strategy was local educators' phone calls and texts, which cost $6,803 and yielded no enrollments.
conclusionsMailing of recruitment letters, word-of-mouth referrals from family and friends, advertisements on social media, and the distribution and posting of flyers/posters were effective and cost-effective strategies and we recommend them for future studies in similar locations. Leveraging the close-knit social ties in rural communities to recommend study participation may be particularly fruitful, but researchers should investigate potential selection bias.
trial registrationClinicaltrials.gov, NCT05002660 Registered on 04 August 2021.
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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.