Journal article
Using healthcare-affiliated apps to recruit typically underrepresented populations in a pregnancy cohort study in West Virginia
Contemporary clinical trials communications, Vol.47, 101535
10/2025
DOI: 10.1016/j.conctc.2025.101535
PMCID: PMC12356380
PMID: 40822704
Abstract
Individuals residing in rural areas and those with low socioeconomic status are typically underrepresented in clinical research. Strategies to recruit more representative populations should be explored. This study aimed to compare screening and consenting proportions in a West Virginia-based pregnancy cohort study of individuals sent a recruitment message via the MyChart patient portal, overall and stratified by rurality and insurance status (proxy for socioeconomic status).
Between October 2022 and April 2023, 1024 recruitment messages were sent via MyChart, a healthcare-affiliated portal. Screening and consenting proportions were calculated overall and stratified by rurality and insurance status. Logistic regression was used to compare participation proportions.
The recruiting method yielded 2.8 % consent. Screening and consenting proportions were similar across stratified groups.
Healthcare-affiliated portals may be a useful strategy to recruit typically underrepresented populations in pregnancy-related research.
Details
- Title: Subtitle
- Using healthcare-affiliated apps to recruit typically underrepresented populations in a pregnancy cohort study in West Virginia
- Creators
- Katrina L. Wilhite - West Virginia UniversityElly Marshall - West Virginia UniversityCarly Williamson Rogers - West Virginia UniversityKara M. Whitaker - University of IowaLindsay Morris-Neuberger - West Virginia UniversityBethany Barone Gibbs - West Virginia University
- Resource Type
- Journal article
- Publication Details
- Contemporary clinical trials communications, Vol.47, 101535
- DOI
- 10.1016/j.conctc.2025.101535
- PMID
- 40822704
- PMCID
- PMC12356380
- NLM abbreviation
- Contemp Clin Trials Commun
- ISSN
- 2451-8654
- eISSN
- 2451-8654
- Publisher
- Elsevier Inc
- Language
- English
- Date published
- 10/2025
- Academic Unit
- Epidemiology; Health, Sport, and Human Physiology
- Record Identifier
- 9984946841602771
Metrics
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