Evidence map›Paper›PMID 39912577›Full record

ArticleJournal of medical Internet research2025

Perspectives of Hispanic and Latinx Community Members on AI-Enabled mHealth Tools: Qualitative Focus Group Study.

Stephanie A Kraft, Shaan Chopra, Miriana C Duran, Janet A Rojina, Abril Beretta, Katherine I López, Russell Javan, Benjamin S Wilfond, Margaret Rosenfeld, James Fogarty and 1 more

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

11 authors.

Stephanie A KraftDepartment of Bioethics and Decision Sciences, Geisinger College of Health Sciences, Danville, PA, United States.ORCID 0000-0002-2862-7601
Shaan ChopraPaul G. Allen School of Computer Science & Engineering, University of Washington, Seattle, WA, United States.ORCID 0009-0002-6471-1031
Miriana C DuranDepartment of Health Systems and Population Health, University of Washington School of Public Health, Seattle, WA, United States.ORCID 0000-0003-2027-1070
Janet A RojinaDepartment of Health Systems and Population Health, University of Washington School of Public Health, Seattle, WA, United States.ORCID 0009-0005-2277-6090
Abril BerettaTreuman Katz Center for Pediatric Bioethics and Palliative Care, Seattle Children's Research Institute, Seattle, WA, United States.ORCID 0009-0007-9067-9107
Katherine I LópezDepartment of Health Systems and Population Health, University of Washington School of Public Health, Seattle, WA, United States.ORCID 0009-0005-6749-1523
Russell JavanDepartment of Health Systems and Population Health, University of Washington School of Public Health, Seattle, WA, United States.ORCID 0009-0009-7837-4559
Benjamin S WilfondTreuman Katz Center for Pediatric Bioethics and Palliative Care, Seattle Children's Research Institute, Seattle, WA, United States.ORCID 0000-0002-2671-9860
Margaret RosenfeldDepartment of Pediatrics, University of Washington School of Medicine, Seattle, WA, United States.ORCID 0000-0002-8105-614X
James FogartyPaul G. Allen School of Computer Science & Engineering, University of Washington, Seattle, WA, United States.ORCID 0000-0001-9194-934X
Linda K KoDepartment of Health Systems and Population Health, University of Washington School of Public Health, Seattle, WA, United States.ORCID 0000-0002-1090-6637

Funding

Transform Dissemination and Implementation Science in CTSA ProgramsUL1TR002319 · NCATS · UNIVERSITY OF WASHINGTON · PI John K. Amory · 2017 to 2026
$100.0M
Open Tools for Self-Tracking, Self Experimentation, and Patient-Provider Collaboration in Symptom Self-Management and Clinical CareR01LM012810 · NLM · UNIVERSITY OF WASHINGTON · PI FOGARTY, JAMES A · 2018 to 2021
$1.3M
NCATS NIH HHS UL1 TR002319NLM NIH HHS R01 LM012810
6 · The paper itself

Abstract

backgroundMobile health (mHealth) tools have the potential to reduce the burden of chronic conditions that disproportionately affect Hispanic and Latinx communities; however, digital divides in the access to and use of health technology suggest that mHealth has the potential to exacerbate, rather than reduce, these disparities.

objectiveA key step toward developing health technology that is accessible and usable is to understand community member perspectives and needs so that technology is culturally relevant and appropriately contextualized. In this study, we aimed to examine the perspectives of Hispanic and Latinx community members in Washington State about mHealth.

methodsWe recruited English- and Spanish-speaking Hispanic or Latinx adults to participate in web-based focus groups through existing community-based networks across rural and urban regions of Washington State. Focus groups included a presentation of narrative slideshow materials developed by the research team depicting mHealth use case examples of asthma in children and fall risk in older adults. Focus group questions asked participants to respond to the case examples and to further explore mHealth use preferences, benefits, barriers, and concerns. Focus group recordings were professionally transcribed, and Spanish transcripts were translated into English. We developed a qualitative codebook using deductive and inductive methods and then coded deidentified transcripts using the constant comparison method. The analysis team proposed themes based on review of coded data, which were validated through member checking with a community advisory board serving Latino individuals in the region and finalized through discussion with the entire research team.

resultsBetween May and September 2023, we conducted 8 focus groups in English or Spanish with 48 participants. Focus groups were stratified by language and region and included the following: 3 (n=18, 38% participants) Spanish urban groups, 2 (n=14, 29% participants) Spanish rural groups, 1 (n=6, 13% participants) English urban group, and 2 (n=10, 21% participants) English rural groups. We identified the following seven themes: (1) mHealth is seen as beneficial for promoting health and peace of mind; (2) some are unaware of, unfamiliar with, or uncomfortable with technology and may benefit from individualized support; (3) financial barriers limit access to mHealth; (4) practical considerations create barriers to using mHealth in daily life; (5) mHealth raises concern for overreliance on technology; (6) automated mHealth features are perceived as valuable but fallible, requiring human input to ensure accuracy; and (7) data sharing is seen as valuable for limited uses but raises privacy concerns. These themes illustrate key barriers to the benefits of mHealth that communities may face, provide insights into the role of mHealth within families, and examine the appropriate balance of data sharing and privacy protections.

conclusionsThese findings offer important insights that can help advance the development of mHealth that responds to community values and priorities.

Indexed as

Hispanic or LatinoTelemedicineAdultAgedFemaleFocus GroupsHumansMaleMiddle AgedQualitative ResearchWashingtonAIartificial intelligencechronic conditionschronic diseasecommunitydata sharingdigital healthmHealthmobile healthprivacyqualitative researchwearable electronic devices

Identifiers

PMID39912577
PMCPMC11843051

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.