Evidence map›Paper›PMID 41739541›Full record

ArticleJMIR formative research2026

Screening by Health Care Systems for Barriers to Patient Engagement With Digital Health Care: Cross-Sectional Survey Study.

Jonathan J Shih, Andersen Yang, Vivian E Kwok, Amy R Sheon, Robert L Ellis, Emilia H De Marchis, Lisa C Diamond, Marika Dy, Courtney R Lyles, Carmen Ma and 7 more

Abstract read
In one paragraph

Article in JMIR formative research, 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

17 authors.

Jonathan J Shih *School of Medicine, University of California, San Francisco, San Francisco, CA, United States.ORCID 0000-0002-8651-7806
Andersen Yang *Division of General Internal Medicine at Zuckerberg San Francisco General Hospital, Department of Medicine, University of California, San Francisco, San Francisco, CA, United States.ORCID 0009-0008-4446-0849
Vivian E KwokSchool of Medicine, University of California, San Francisco, San Francisco, CA, United States.ORCID 0009-0006-1760-710X
Amy R SheonPublic Health Innovators, LLC, North Bethesda, MD, United States.ORCID 0000-0003-4752-7523
Robert L EllisCenter for Healthcare Policy and Research, University of California, Davis, Sacramento, CA, United States.ORCID 0000-0002-1606-4661
Emilia H De MarchisDepartment of Family and Community Medicine, University of California, San Francisco, San Francisco, CA, United States.ORCID 0000-0003-1782-1609
Lisa C DiamondHospital Medicine Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, United States.ORCID 0000-0002-2175-6224
Marika DyDivision of General Internal Medicine at Zuckerberg San Francisco General Hospital, Department of Medicine, University of California, San Francisco, San Francisco, CA, United States.ORCID 0000-0001-7592-9998
Courtney R LylesCenter for Healthcare Policy and Research, University of California, Davis, Sacramento, CA, United States.ORCID 0000-0002-1111-8595
Carmen MaDepartment of Psychiatry & Behavioral Sciences, University of California, San Francisco, San Francisco, CA, United States.ORCID 0000-0002-4886-8197
Nilpa D ShahDivision of General Internal Medicine at Zuckerberg San Francisco General Hospital, Department of Medicine, University of California, San Francisco, San Francisco, CA, United States.ORCID 0000-0001-8199-7145
Kelsey H NatsuharaDivision of Hematology and Oncology, Department of Medicine, University of California, San Francisco, San Francisco, CA, United States.ORCID 0000-0002-7352-7028
Sarah B RahmanAlameda Health System, Oakland, CA, United States.ORCID 0000-0002-8414-8867
Jorge A RodriguezDivision of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA, United States.ORCID 0000-0002-1833-6819
Urmimala SarkarDivision of General Internal Medicine at Zuckerberg San Francisco General Hospital, Department of Medicine, University of California, San Francisco, San Francisco, CA, United States.ORCID 0000-0003-4213-4405
Anjana E SharmaAction Research Center for Health, University of California, San Francisco, San Francisco, CA, United States.ORCID 0000-0001-5541-2414
Elaine C KhoongDivision of General Internal Medicine at Zuckerberg San Francisco General Hospital, Department of Medicine, University of California, San Francisco, San Francisco, CA, United States.ORCID 0000-0002-2514-3572

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
Clinical and Translational Science InstituteUL1TR001872 · NCATS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI COLLARD, HAROLD R, JACOBY, VANESSA · 2016 to 2025
$112.1M
Toward Technology Equity: Extending Telemedicine to Latino Patients with Type II DiabetesK23MD016439 · NIMHD · BRIGHAM AND WOMEN'S HOSPITAL · PI RODRIGUEZ, JORGE A · 2021 to 2025
$985k
Designing a Remote Monitoring Intervention for Value & Equity in Hypertension (DRIVE-HTN)K23HL157750 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KHOONG, ELAINE · 2021 to 2025
$921k
NCATS NIH HHS UL1 TR001872NCI NIH HHS P30 CA008748NHLBI NIH HHS K23 HL157750NIMHD NIH HHS K23 MD016439
6 · The paper itself

Abstract

backgroundDigital health tools, including patient portals, telemedicine, and mobile health apps, are increasingly a core part of health care. Digital readiness, encompassing both digital access and literacy, is crucial for enabling patients to effectively engage with the increasing number of digital health tools. Despite growing recognition of digital readiness as a health-related social need, little is known about digital readiness screening practices.

objectiveWe aimed to assess the extent of digital readiness screening and the organizational factors associated with screening.

methodsFrom January to May 2024, we administered an online survey to a convenience sample of clinicians or informatics leaders from US health care systems. Our primary outcome was whether the respondent reported that their organization screened for digital readiness (yes vs no), and the secondary outcome was self-reported barriers to screening. We asked respondents to report characteristics related to their health system, including health system type, geographic area, payers accepted, patient population characteristics, screening practices for health-related social needs (eg, screening for food insecurity), and awareness of digital inclusion policies and programs. Using bivariate logistic regression models, we examined organizational characteristics associated with screening for digital readiness.

resultsOf 144 total respondents, 64 (44%) reported screening patients for digital readiness. Organizations serving uninsured patients had lower odds of screening (odds ratio [OR] 0.32, 95% CI 0.14-0.72). Less than half of respondents to the digital readiness survey (47/99, 47%) were familiar with any digital readiness-related policy, but screening was more likely when respondents were familiar with at least one policy or program promoting equitable digital readiness (OR 6.6, 95% CI 2.4-20.6). Screening for other health-related social needs was not associated with digital readiness screening. The most frequently cited barriers to screening for digital readiness were lack of resources to address digital access (n=45, 45%), lack of resources to implement screening (n=42, 42%), and lack of time (n=41, 41%).

conclusionsDigital readiness screening has had limited adoption in US health care systems, particularly in settings serving the populations most likely to experience challenges with digital access or literacy. The limited adoption of digital readiness screening likely reflects lower awareness of digital readiness as a social need and a lack of infrastructure to support its uptake, such as standardized screening questions or a workforce trained on how to screen for and intervene on barriers to digital readiness. Low awareness of digital equity policies that might incentivize digital readiness screening further hinders adoption. Without increased adoption of digital readiness screening and/or interventions to mitigate barriers to digital readiness, digital health tools are unlikely to be accessible to or benefit all populations. Multilevel interventions, including policy changes and workforce training, are likely necessary to increase the adoption of digital readiness screening and mitigation efforts that address barriers to digital exclusion.

Indexed as

Delivery of Health CareMass ScreeningPatient ParticipationAdultCross-Sectional StudiesDigital HealthFemaleHumansMaleMiddle AgedSurveys and QuestionnairesTelemedicineUnited Stateshealth care disparitieshealth equityhealth information technologysocial drivers of healthtelemedicine

Identifiers

PMID41739541
PMCPMC12980063

What OpenQuestion 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 OpenQuestion graph.