Evidence map›Paper›PMID 40882618›Full record

ArticleJournal of medical Internet research2025

Video and Telephone Telehealth Use and Web-Based Patient Portal Activation Among Rural-Dwelling Patients: Retrospective Medical Record Review and Policy Implications.

Meghan Rowe Ferrara, Gina Intinarelli-Shuler, Susan A Chapman

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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. The digital divide in cardiovascular care: who gets left behind?European heart journal. Digital health · 2026
    Article
  4. 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

3 authors.

Meghan Rowe FerraraDepartment of Social and Behavioral Sciences, School of Nursing, University of California, San Francisco, 490 Illinois Street, Floor 12, Box 0612, San Francisco, CA, 94143, United States, 1 415 476 3047.ORCID http://orcid.org/0009-0008-0871-328X
Gina Intinarelli-ShulerDepartment of Social and Behavioral Sciences, School of Nursing, University of California, San Francisco, 490 Illinois Street, Floor 12, Box 0612, San Francisco, CA, 94143, United States, 1 415 476 3047.ORCID http://orcid.org/0009-0002-0999-4876
Susan A ChapmanDepartment of Social and Behavioral Sciences, School of Nursing, University of California, San Francisco, 490 Illinois Street, Floor 12, Box 0612, San Francisco, CA, 94143, United States, 1 415 476 3047.ORCID http://orcid.org/0000-0003-4803-3357

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Telehealth may redress rural health care shortages in the United States and improve related rural health disparities. However, following the expansion of telehealth related to the COVID-19 pandemic, telehealth use has been lower among rural populations compared to urban populations. Certain populations are also more likely to use audio-only telehealth, with implications for care quality. Objective: The aim of this study is to describe demographic and telehealth use characteristics of a population of rural-dwelling adult patients and explore relationships of these characteristics with patients' level of rurality and with modality of patients' most recent telehealth encounter. Methods: We conducted a retrospective medical record review of adults who lived in rural California zip codes and used telehealth at an urban medical center from December 2021 to December 2022. Rural-Urban Commuting Area codes were used to assign rurality and group patients by 3 levels of rurality. Telehealth visits were defined as video-enabled and telephone encounters. Variables included age, race or ethnicity, preferred language, payer, web-based patient portal activation status (as proxy for digital health literacy), video or telephone modality, and visit provider. Chi-square and Fisher exact tested associations of demographic and encounter characteristics with patient level of rurality and telehealth encounter modality. Results: A total of 9359 patients were included. Telehealth patients living in the most rural zip codes were older, and a higher proportion were White compared to those in less rural zip codes. Patients who were American Indian, Asian, Black, and Latino together comprised 18.8% (n=1760) of the sample, lower than that in rural California counties. Video visit use was significantly lower among patients who were 65 years of age or older (n=3183, 91.3% vs n=5507, 93.8% for younger than 65 years; χ21=19.3; P<.001), Latino race or ethnicity (n=1229, 90.9% vs n=6078, 93.4% among White patients; χ23=12.0; P=.008), primary Spanish speakers (n=336, 87.7% vs n=8305, 93% among English speakers; Fisher exact, P<.001), and publicly insured (Medicare: n=3843, 91.7%; Medicaid: n=1717, 92.2%; privately insured: n=3130, 94.7%; χ22=27.9; P<.001). Patient portal activation was lower among Latinx patients (n=1183, 87.5% vs n=6099, 93.7% among White patients), Spanish speakers (n=295, 77% vs n=8241, 92.3% among English speakers; Fisher exact: P<.001), and Medicaid patients (n=1635, 87.8%; Medicare: n=3802, 90.7%; privately insured: n=3140, 95%; χ24=106.3; P<.001). Conclusions: Findings substantiate concerns of rural telehealth access disparities, particularly among patients who are older, of minoritized race or ethnicity, and Spanish-speaking. Ongoing research is needed to understand how underserved rural populations use telehealth. To address telehealth use disparities, policy should address patient-level barriers by supporting measures such as health care navigation resources, culturally tailored telehealth patient outreach, digital access assessment, and patient digital education. Evidence-based telehealth reimbursement policy is essential to support access and address provider-side barriers.

Indexed as

Patient PortalsRural PopulationTelemedicineTelephoneAdultAgedCaliforniaCOVID-19FemaleHumansInternetMaleMiddle AgedRetrospective StudiesSARS-CoV-2adultaudiodemographic analysishealth care accesshealth disparitiesmedical recordpatient demographicspatient portalpolicyruralrural-dwelling patientsrural healthtelehealthtelephoneUnited Statesvideo visit

Identifiers

PMID40882618
PMCPMC12396827

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.