Evidence map›Paper›PMID 40743511›Full record

ArticleJMIR formative research2025

Factors Associated With Portal and Telehealth Uptake and Use in a Minoritized, Low-Income Community: Mixed Methods Study.

Robin T Higashi, Emily C Repasky, Antara Gupta, MinJae Lee, Catherine M DesRoches, Aimee Israel, Sandi L Pruitt

Abstract read
In one paragraph

Article 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 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

7 authors.

Robin T HigashiDepartment of Social and Behavioral Sciences, Peter O'Donnell Jr School of Public Health, The University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX, 75390, United States, 1 214 648-3645, 1 214-648-3934.ORCID 0000-0001-5232-6852
Emily C RepaskyDepartment of Social and Behavioral Sciences, Peter O'Donnell Jr School of Public Health, The University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX, 75390, United States, 1 214 648-3645, 1 214-648-3934.ORCID 0000-0002-5714-6540
Antara GuptaThe University of Texas Southwestern Medical School, Dallas, TX, United States.ORCID 0000-0003-1993-1908
MinJae LeeHarold C Simmons Comprehensive Cancer Center, Dallas, TX, United States.ORCID 0000-0002-4329-506X
Catherine M DesRochesDepartment of Medicine, Harvard Medical School, Harvard University, Boston, MA, United States.ORCID 0000-0001-5373-855X
Aimee IsraelHarold C Simmons Comprehensive Cancer Center, Dallas, TX, United States.ORCID 0000-0002-9292-0757
Sandi L PruittDepartment of Social and Behavioral Sciences, Peter O'Donnell Jr School of Public Health, The University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX, 75390, United States, 1 214 648-3645, 1 214-648-3934.ORCID 0000-0002-1007-9176

Funding

UT Southwestern Medical Center Simmons Comprehensive Cancer CenterP30CA142543 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI Carlos L Arteaga · 2010 to 2026
$53.7M
UT Southwestern Center for Translational MedicineUL1TR003163 · NCATS · UT SOUTHWESTERN MEDICAL CENTER · PI TOTO, ROBERT DANIEL · 2021 to 2025
$39.3M
NCATS NIH HHS UL1 TR003163NCI NIH HHS P30 CA142543
6 · The paper itself

Abstract

Background: Despite evidence that use of patient portals and telehealth is associated with many health benefits, disparities exist in awareness, adoption, and use. Understanding factors and strategies specific to underserved populations is key to achieving digital equity and better health. Objective: This study assesses portal and telehealth experiences among residents of a minoritized and lower-resource area of Dallas, Texas. Methods: Using an explanatory sequential design, we conducted surveys and semistructured interviews with English- and Spanish-speaking adults in 15 ZIP Codes surrounding a community-based clinic. We recruited participants via a patient portal, flyers, emails distributed by clinic and community partners, and in person. Surveys were offered online and on paper. We used Fisher exact tests to identify factors associated with telehealth and/or portal use. We also recruited a subsample of survey participants to expound on survey findings in semistructured interviews. Our thematic analysis assessed convergence in survey and interview findings. Results: Among 182 survey respondents, most were older (n=109, 66%; age ≥60 years), African American or Black (n=120, 65%), and female (n=142, 79%); a little more than half (n=97, 54%) had completed ≥1 telehealth appointment, and a majority (n=131, 72%) had used a patient portal at least once. Compared with those who used the portal and/or telehealth, those reporting no use of portal or telehealth were more likely to have a high school education or less (P<.001) or be Spanish speakers (P<.011). A majority, regardless of portal or telehealth use, agreed with health promotion activity survey statements like "Using the Internet for health-related activities makes me feel actively involved with my health care" (n=103, 59%) and "I find the Internet useful for monitoring my health" (n=100, 58%). In interviews with 20 individuals, most of whom were older, Black, female, and had digital technology experience, seven factors were key to increased engagement in portals and telehealth: (1) improving patient autonomy, (2) integrating digital health technology into daily life, (3) receiving recommendations from trusted individuals, (4) appreciating the value of digital health technologies, (5) enlisting the support of care partners or peers, (6) managing severe or chronic illness, and (7) accessing test results rapidly. Conclusions: This study builds on previous work by confirming and contributing insights about factors key to technology uptake and use among underserved populations. Interventions using digital health technologies should focus on these factors to promote digital and health equity and achieve better health outcomes. Future research should explore which clinical settings and contexts are most conducive to increasing digital technology uptake and use, and implementation should leverage partnerships with community groups.

Indexed as

Patient Acceptance of Health CarePatient PortalsPovertyTelemedicineAdolescentAdultAgedFemaleHumansMaleMiddle AgedQualitative ResearchSurveys and QuestionnairesTexasYoung Adult21st Century Cures Actdigital dividedigital health technologydigital inclusionhealth disparitiessocial determinants of healthtechnology accesstechnology uptake

Identifiers

PMID40743511
PMCPMC12313082

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.