Evidence map›Paper›PMID 41845090›Full record

ArticleJournal of general internal medicine2026

Bridging the Digital Divide with Digital Navigation in the California Safety Net: A Mixed-Methods Study.

Kelsey H Natsuhara, Nilpa D Shah, Carmen Ma, Sarah B Rahman, Marika Dy, Hiba Elkhatib, Ashwin Kotwal, Courtney Lyles, Adrian Aguilera, Elaine C Khoong and 2 more

Abstract read
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In one paragraph

Article in Journal of general internal medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
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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.

Kelsey H NatsuharaDivision of Hematology and Oncology, Department of Medicine, University of California San Francisco, San Francisco, CA, USA.
Nilpa D ShahUCSF Action Research Center, Zuckerberg San Francisco General Hospital, San Francisco, CA, USA.
Carmen MaDepartment of Psychiatry and Behavioral Sciences, University of California San Francisco, San Francisco, CA, USA.
Sarah B RahmanInformation Systems and Clinical Informatics, Alameda Health System, Oakland, CA, USA.
Marika DyUCSF Action Research Center, Zuckerberg San Francisco General Hospital, San Francisco, CA, USA.
Hiba ElkhatibDepartment of Family and Community Medicine, University of California San Francisco, San Francisco, CA, USA.
Ashwin KotwalDivision of Geriatrics, Department of Medicine, University of California San Francisco, San Francisco, CA, USA.
Courtney LylesDepartment of Public Health Sciences & Center for Healthcare Policy and Research, University of California Davis, Sacramento, CA, USA.
Adrian AguileraDepartment of Psychiatry and Behavioral Sciences, University of California San Francisco, San Francisco, CA, USA.
Elaine C KhoongUCSF Action Research Center, Zuckerberg San Francisco General Hospital, San Francisco, CA, USA.
Urmimala SarkarUCSF Action Research Center, Zuckerberg San Francisco General Hospital, San Francisco, CA, USA.
Anjana E SharmaUCSF Action Research Center, Zuckerberg San Francisco General Hospital, San Francisco, CA, USA. Anjana.Sharma@ucsf.edu.ORCID http://orcid.org/0000-0001-5541-2414

Funding

Translational Epidemiology - Training for Research on Aging and Chronic diseaseT32AG049663 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Elizabeth Rose Mayeda, Mark J Pletcher · 2016 to 2026
$5.8M
NIA NIH HHS T32 AG049663
6 · The paper itself

Abstract

backgroundTelehealth use has expanded in the primary care safety net, but disparities in telehealth persist, known as the "digital divide." Digital navigation, where patients receive support to enable telehealth access, is a promising strategy, but little is known about its prevalence or implementation.

objectiveTo characterize the current digital navigation landscape of California safety-net primary care clinics and provide recommendations for digital navigation implementation strategies.

designMixed-methods study, including survey and interview components.

participantsParticipants working in California primary care safety-net settings, including individuals with roles in clinical care, administration, information technology, and patient support services. APPROACH: We developed a survey and interview guide using the Consolidated Framework for Implementation Research (CFIR). We calculated summary statistics for survey results. We conducted in-depth semi-structured interviews with a subsample of survey participants via video and analyzed transcripts using a mixed inductive-deductive approach to identify features of digital navigation implementation and themes relevant to CFIR. KEY

resultsOf 50 survey participants representing 35 practices, 80% reported their health system had implemented or attempted to implement digital navigation in some form. Qualitative analysis of 16 interviews identified five distinct digital navigation models: (1) integrated staff role, (2) information technology support, (3) dedicated digital navigator, (4) volunteer/external partners, and (5) rural access hub. Challenges to digital navigation implementation included unmet need for access to digital devices and broadband, lack of staff buy-in and digital literacy, and the lack of data-driven screening and referral programs.

conclusionsThe majority of primary care safety-net sites had some form of digital navigation, ranging from a dedicated navigator to community partnerships. Equitable digital access, a key health-related social need, can be provided through diverse digital navigation models. Ongoing advocacy for device and broadband access and reimbursement mechanisms will be critical for digital navigation implementation and sustainability.

Indexed as

community health centersdigital navigationhealth information technologyhealth professions workforceimplementation (Im)quality improvement (QI)social determinants of healthtelemedicine

Identifiers

PMID41845090

What OpenQuestion holds

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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.