ArticleJournal of clinical and translational science2025
Testing the impact of recruitment message content on open rate and consent rate for population-based genomic screening.
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.
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Authors and funding
9 authors.
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Abstract
Background: Digital tools offer promising solutions to improve eligibility screening, recruitment, and retention in research, particularly in human genetic studies where representative sampling is critical. SMS text messaging has been found effective in population-based survey research, but evidence of its impact on genetic study recruitment - and how it varies by demographics - is limited. Objective: We examined the effect of tailored SMS messages on enrollment in a population-based genomic screening study. We assessed differences in message open and consent rates across four message types and explored how these outcomes varied by demographic factors. Methods: Participants were randomized to receive one of four SMS messages emphasizing different social values: generic, individual impact, community impact, or research discoveries. We calculated descriptive statistics for open and consent rates and used generalized linear logistic regression and Pearson's Chi-Square Test to assess demographic differences. Results: Among 15,977 messages sent, 2.4% were opened ( Conclusion: Sociodemographic factors were more predictive of engagement than message content. Tailoring messages by demographic group may improve recruitment in genomic studies. Future research should explore the drivers of participant engagement in digital recruitment strategies.
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