Evidence map›Paper›PMID 40822704›Full record

ArticleContemporary clinical trials communications2025

Using healthcare-affiliated apps to recruit typically underrepresented populations in a pregnancy cohort study in West Virginia.

Katrina L Wilhite, Elly Marshall, Carly Williamson Rogers, Kara M Whitaker, Lindsay Morris-Neuberger, Bethany Barone Gibbs

Abstract read
In one paragraph

Article in Contemporary clinical trials communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Katrina L WilhiteDepartment of Epidemiology and Biostatistics, West Virginia University, Morgantown, WV, United States of America.
Elly MarshallDepartment of Epidemiology and Biostatistics, West Virginia University, Morgantown, WV, United States of America.
Carly Williamson RogersDepartment of Epidemiology and Biostatistics, West Virginia University, Morgantown, WV, United States of America.
Kara M WhitakerDepartment of Health and Human Physiology, University of Iowa, Iowa City, IA, United States of America.
Lindsay Morris-NeubergerDepartment of Communication Studies, West Virginia University, Morgantown, WV, United States of America.
Bethany Barone GibbsDepartment of Epidemiology and Biostatistics, West Virginia University, Morgantown, WV, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: 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). Methods: 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. Results: The recruiting method yielded 2.8 % consent. Screening and consenting proportions were similar across stratified groups. Conclusions: Healthcare-affiliated portals may be a useful strategy to recruit typically underrepresented populations in pregnancy-related research.

Indexed as

PregnancyRecruitmentRuralSocioeconomic status

Identifiers

PMID40822704
PMCPMC12356380

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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.