Evidence map›Paper›PMID 40718759›Full record

ArticleJAMIA open2025

Social vulnerability, lower broadband internet access, and rurality associated with lower telemedicine use in U.S. Counties.

Mollie R Cummins, Bob Wong, Neng Wan, Jiuying Han, Sukrut D Shishupal, Ramkiran Gouripeddi, Julia Ivanova, Asiyah Franklin, Jace Johnny, Triton Ong and 2 more

Abstract read
In one paragraph

Article in JAMIA open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Barriers and Facilitators to Telehealth in Underserved Rural Communities: A Mixed-Methods Formative Evaluation.Health expectations : an international journal of public participation in health care and health policy · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Rural-Urban and Racial-Ethnic Differences in Tele-Behavioral Health Access for Medicaid Beneficiaries.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2026
    Article
  7. Article
  8. Article
  9. 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

12 authors.

Mollie R CumminsCollege of Nursing, University of Utah, Salt Lake City, UT 84112-5880 United States.ORCID https://orcid.org/0000-0001-7078-8479
Bob WongCollege of Nursing, University of Utah, Salt Lake City, UT 84112-5880 United States.
Neng WanDepartment of Geography, University of Utah, Salt Lake City, UT, 84112 United States.
Jiuying HanDepartment of Geography, University of Utah, Salt Lake City, UT, 84112 United States.
Sukrut D ShishupalSpencer Fox Eccles School of Medicine, Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, 84113 United States.
Ramkiran GouripeddiSpencer Fox Eccles School of Medicine, Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, 84113 United States.ORCID https://orcid.org/0000-0002-4345-9669
Julia IvanovaDoxy.me Inc., Charleston, SC 29401, United States.
Asiyah FranklinDoxy.me Inc., Charleston, SC 29401, United States.
Jace JohnnyCollege of Nursing, University of Utah, Salt Lake City, UT 84112-5880 United States.
Triton OngDoxy.me Inc., Charleston, SC 29401, United States.ORCID https://orcid.org/0000-0002-2512-2026
Brandon M WelchDoxy.me Inc., Charleston, SC 29401, United States.
Brian E BunnellDoxy.me Inc., Charleston, SC 29401, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Our objective was to determine how social vulnerabilities, broadband access, and rurality relate to telemedicine use across the United States through large-scale analysis of real-world telemedicine data. Materials and Methods: We conducted a retrospective, observational study of dyadic U.S. telemedicine sessions that occurred January 1, 2022 to December 31, 2022, linked to the 2020 Centers for Disease Control and Prevention Social Vulnerability Index (SVI) and the National Center for Health Statistics Urban-Rural Classification Scheme for Counties. We examined county-level telemedicine use rates (sessions per 1000 population) in relation to SVI indexes, broadband internet access, and rurality classifications using polynomial regression and data visualization. Results: We found a negative, nonlinear association between overall social and socioeconomic status vulnerabilities and telemedicine use. Telemedicine rates in urban counties exceeded that of rural counties. There was more variability in telemedicine use for the urban counties according to social vulnerability and broadband access. Discussion: Rurality and broadband access demonstrated a greater effect on telemedicine use than social vulnerability, and the relationship between social vulnerability, broadband access, and telemedicine use differed for rural versus urban areas. Conclusion: This observational study of nearly 8 million U.S. telemedicine sessions showed that rurality and broadband access are key drivers of telemedicine use and may be more important than many social vulnerabilities in determining community-level telemedicine use. We also found nuanced differences in the relationship between social vulnerability and telemedicine use between rural and urban counties, and at different levels of broadband access.

Indexed as

delivery of healthcaredigital dividehealth equitytelemedicine

Identifiers

PMID40718759
PMCPMC12296349

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.