Evidence mapPaperPMID 42081796Full record

ArticleJMIR human factors2026

Identifying Skill and Usability Barriers to Digital Health Tool Use Among Older Adult Patients in US Safety Net Clinics: Mixed Methods Study.

Taylor Rapson, Magaly Ramirez, Sandy He, Jeanette Wong, Hyunjin Cindy Kim, Isabel Luna, Andersen Yang, Junhong Li, Paul A Fishman, James D Ralston and 2 more

Abstract read
In one paragraph

Article in JMIR human factors, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Taylor RapsonDepartment of Health Systems and Population Health, School of Public Health, University of Washington, Seattle, WA, 98195, United States.ORCID http://orcid.org/0000-0002-5589-5142
Magaly RamirezDepartment of Health Systems and Population Health, School of Public Health, University of Washington, Seattle, WA, 98195, United States.ORCID http://orcid.org/0000-0001-5063-1028
Sandy HeDivision of General Internal Medicine at Zuckerberg San Francisco General Hospital, Department of Medicine, University of California, San Francisco, 1001 Potrero Avenue, Main Building 5, 1st floor, 1M, San Francisco, CA, 94110, United States, 1 628-206-8000.ORCID http://orcid.org/0009-0004-8479-0704
Jeanette WongDivision of General Internal Medicine at Zuckerberg San Francisco General Hospital, Department of Medicine, University of California, San Francisco, 1001 Potrero Avenue, Main Building 5, 1st floor, 1M, San Francisco, CA, 94110, United States, 1 628-206-8000.ORCID http://orcid.org/0009-0004-4305-6503
Hyunjin Cindy KimDivision of General Internal Medicine at Zuckerberg San Francisco General Hospital, Department of Medicine, University of California, San Francisco, 1001 Potrero Avenue, Main Building 5, 1st floor, 1M, San Francisco, CA, 94110, United States, 1 628-206-8000.ORCID http://orcid.org/0000-0002-3322-7215
Isabel LunaDivision of General Internal Medicine at Zuckerberg San Francisco General Hospital, Department of Medicine, University of California, San Francisco, 1001 Potrero Avenue, Main Building 5, 1st floor, 1M, San Francisco, CA, 94110, United States, 1 628-206-8000.ORCID http://orcid.org/0009-0006-4323-1046
Andersen YangDivision of General Internal Medicine at Zuckerberg San Francisco General Hospital, Department of Medicine, University of California, San Francisco, 1001 Potrero Avenue, Main Building 5, 1st floor, 1M, San Francisco, CA, 94110, United States, 1 628-206-8000.ORCID http://orcid.org/0009-0008-4446-0849
Junhong LiDivision of General Internal Medicine at Zuckerberg San Francisco General Hospital, Department of Medicine, University of California, San Francisco, 1001 Potrero Avenue, Main Building 5, 1st floor, 1M, San Francisco, CA, 94110, United States, 1 628-206-8000.ORCID http://orcid.org/0009-0003-6477-8989
Paul A FishmanDepartment of Health Systems and Population Health, School of Public Health, University of Washington, Seattle, WA, 98195, United States.ORCID http://orcid.org/0000-0003-3419-4539
James D RalstonDepartment of Health Systems and Population Health, School of Public Health, University of Washington, Seattle, WA, 98195, United States.ORCID http://orcid.org/0000-0001-6317-7987
Courtney R Lyles *Division of General Internal Medicine at Zuckerberg San Francisco General Hospital, Department of Medicine, University of California, San Francisco, 1001 Potrero Avenue, Main Building 5, 1st floor, 1M, San Francisco, CA, 94110, United States, 1 628-206-8000.ORCID http://orcid.org/0000-0002-1111-8595
Elaine C Khoong *Division of General Internal Medicine at Zuckerberg San Francisco General Hospital, Department of Medicine, University of California, San Francisco, 1001 Potrero Avenue, Main Building 5, 1st floor, 1M, San Francisco, CA, 94110, United States, 1 628-206-8000.ORCID http://orcid.org/0000-0002-2514-3572

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Despite their benefits, digital health tools often face adoption barriers because of the digital divide. Identifying the fundamental user skills required to effectively navigate these tools and the usability barriers is essential to addressing disparities in use. Objective: This study aimed to identify the skill and usability barriers to using digital health tools. Methods: This study included English-, Spanish-, or Cantonese-speaking patients, aged ≥50 years, who received care at an urban safety net health system in the United States. Participants completed a survey examining sociodemographic characteristics and digital health tool use and were observed and video recorded as they navigated four digital health care tasks: (1) launch a video visit, (2) visit a health website through a URL, (3) log in to the patient portal, and (4) sign up for a patient portal account. Participants who could not independently perform the tasks received additional support. Tasks were conducted in English, while instructions and additional assistance were provided in each participant's preferred language. Video recordings were thematically coded to identify the fundamental skills needed for effective digital tool use and usability barriers in the design of digital tools. We examined whether task independence was associated with participant demographics and thematic categories using Kruskal-Wallis, χ2, and Fisher exact tests. Results: In total, 74% (34/46), 52% (31/60), 71% (44/62), and 70% (43/61) of participants (N=64) independently completed digital tasks 1, 2, 3, and 4, respectively. Older age, minoritized races and ethnicities, non-English language preference, lower educational attainment, access to cellular data only or no internet access, and lack of a portal account were associated with a higher likelihood of requiring assistance or being unsuccessful at completing each task (P<.001, except for older age [P=.004]). The qualitative coding of video recordings identified 3, 4, and 6 categories of typing, navigation, and human-computer interaction (HCI) skills, respectively, as fundamental skills required to independently complete digital tasks. χ2 and Fisher exact tests indicated significant associations between most typing, navigation, and HCI categories and independent task completion. We coded usability barriers as one of 6 learnability challenges or 3 operability challenges. Conclusions: This study identified that independent use of digital health tools requires fundamental typing, navigation, or HCI skills as well as high usability of digital tools. The inclusion of 4 different digital tasks added specificity to the type of skills and usability considerations necessary to ensure accessibility of digital health tools to diverse older adults. This study underscores the need for vendors to cocreate digital health tools with historically excluded end users in mind. As health care systems expand digital tool adoption, they must distinguish fundamental skill gaps from usability barriers, as each may require different intervention strategies.

Indexed as

Safety-net ProvidersAgedAged, 80 and overDigital HealthFemaleHumansMaleMiddle AgedSurveys and QuestionnairesUnited Statesdigital disparitiesdigital equitydigital health technologydigital literacydigital skillseHealthpatient portalusability

Identifiers

PMID42081796
PMCPMC13138792

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.