Evidence map›Paper›PMID 40233355›Full record

Observational studyJMIR formative research2025

Using Social Media to Engage and Enroll Underrepresented Populations: Longitudinal Digital Health Research.

Christiana Harry, Sarah Goodday, Carol Chapman, Emma Karlin, April Joy Damian, Alexa Brooks, Adrien Boch, Nelly Lugo, Rebecca McMillan, Jonell Tempero and 4 more

Abstract readObservational Study
In one paragraph

Observational study in JMIR formative research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. 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

14 authors.

Christiana Harry4YouandMe, Great Neck, NY, United States.ORCID 0009-0004-2227-1036
Sarah Goodday4YouandMe, Great Neck, NY, United States.ORCID 0000-0003-2159-1754
Carol ChapmanCrohn's and Colitis Foundation, New York, NY, United States.ORCID 0009-0008-4540-5243
Emma Karlin4YouandMe, Great Neck, NY, United States.ORCID 0000-0002-5939-3078
April Joy DamianMoses/Weitzman Health System, Middletown, CT, United States.ORCID 0000-0001-6048-1094
Alexa Brooks4YouandMe, Great Neck, NY, United States.ORCID 0000-0003-1755-9006
Adrien BochEvidation Health, San Mateo, CA, United States.ORCID 0000-0001-6535-4318
Nelly LugoWashington University, St. Louis, MO, United States.ORCID 0009-0003-7245-4159
Rebecca McMillanUniversity of California San Diego Health, San Diego, CA, United States.ORCID 0009-0000-4930-1072
Jonell TemperoRespirAI US Inc, Omaha, NE, United States.ORCID 0009-0002-6610-1763
Ella Swanson4YouandMe, Great Neck, NY, United States.ORCID 0009-0008-9037-4538
Shannon PeabodyDana-Farber Cancer Instituite, Boston, MA, United States.ORCID 0009-0004-5283-9067
Diane McKenzie4YouandMe, Great Neck, NY, United States.ORCID 0009-0005-9959-3954
Stephen Friend4YouandMe, Great Neck, NY, United States.ORCID 0000-0002-0830-7600

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEmerging digital health research poses roadblocks to the inclusion of historically marginalized populations in research. Exclusion of underresourced communities in digital health research is a result of multiple factors (eg, limited technology access, decreased digital literacy, language barriers, and historical mistrust of research and research institutions). Alternative methods of access and engagement may aid in achieving long-term sustainability of diversified participation in digital health research, ensuring that developed technologies and research outcomes are effective and equitable.

objectiveThis study aims to (1) characterize socioeconomic and demographic differences in individuals who enrolled and engaged with different remote, digital, and traditional recruitment methods in a digital health pregnancy study and (2) determine whether social media outreach is an efficient way of recruiting and retaining specific underrepresented populations (URPs) in digital health research.

methodsThe Better Understanding the Metamorphosis of Pregnancy (BUMP) study was used as a case example. This is a prospective, observational, cohort study using digital health technology to increase understanding of pregnancy among 524 women, aged 18-40 years, in the United States. The study used different recruitment strategies: patient portal for genetic testing results, paid/unpaid social media ads, and a community health organization providing care to pregnant women (Moses/Weitzman Health System).

resultsSocial media as a recruitment tool to engage URPs in a digital health study was overall effective, with a 23.6% (140/594) enrollment rate of those completing study interest forms across 25 weeks. Community-based partnerships were less successful, however, resulting in 53.3% (57/107) engagement with recruitment material and only 8.8% (5/57) ultimately enrolling in the study. Paid social media ads provided access to and enrollment of a diverse potential participant pool of race- or ethnicity-based URPs in comparison to other digital recruitment channels. Of those that engaged with study materials, paid recruitment had the highest percentage of non-White (non-Hispanic) respondents (85/321, 26.5%), in comparison to unpaid ads (Facebook and Reddit; 37/167, 22.2%). Of the enrolled participants, paid ads also had the highest percentage of non-White (non-Hispanic) participants (14/70, 20%), compared to unpaid ads (8/52, 15.4%) and genetic testing service subscribers (72/384, 18.8%). Recruitment completed via paid ads (Instagram) had the highest study retention rate (52/70, 74.3%) across outreach methods, whereas recruitment via community-based partnerships had the lowest (2/5, 40%). Retention of non-White (non-Hispanic) participants was low across recruitment methods: paid (8/52, 15.4%), unpaid (3/35, 14.3%), and genetic testing service subscribers (50/281, 17.8%).

conclusionsSocial media recruitment (paid/unpaid) provides access to URPs and facilitates sustained retention similar to other methods, but with varying strengths and weaknesses. URPs showed lower retention rates than their White counterparts across outreach methods. Community-based recruitment showed lower engagement, enrollment, and retention. These findings highlight social media's potential for URP engagement and enrollment, illuminate potential roadblocks of traditional methods, and underscore the need for tailored research to improve URP enrollment and retention.

Indexed as

Minority GroupsPatient SelectionSocial MediaAdolescentAdultDigital HealthFemaleHumansLongitudinal StudiesPregnancyProspective StudiesUnited StatesYoung Adultadvertisementattritiondigital health researchdigital health technologydiversitydropouthealth equitymarginalizedmaternal healthparticipantpregnancyrecruitmentresearch subjectretentionsocial mediaunderrepresented populations

Identifiers

PMID40233355
PMCPMC12041823

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.