Evidence map›Paper›PMID 38517424›Full record

ArticleJAMA health forum2024

Racial and Ethnic Differences in Telemedicine Use.

Felippe O Marcondes, Sharon-Lise T Normand, Benjamin Le Cook, Haiden A Huskamp, Jorge A Rodriguez, Michael L Barnett, Lori Uscher-Pines, Alisa B Busch, Ateev Mehrotra

Open access · goldAbstract read
In one paragraph

Article in JAMA health forum, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 2 pooled it
25.0field-weighted citation impact, top 1% of its field
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

43 citing papers in PubMed, 2 syntheses or guidelines pooled it, 46 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Observational
  4. Article
  5. Article
  6. Article
  7. Effect of State Medicaid Reimbursement Policies on Telehealth Visits in Community-Based Health Centers.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2026
    Article
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  10. Article
  11. Article
  12. Article
  13. Article
  14. 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
  15. Article
  16. 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

9 authors at 6 institutions in 1 country.

Felippe O MarcondesDivision of General Internal Medicine, Massachusetts General Hospital, Boston.
Sharon-Lise T NormandDepartment of Health Care Policy, Harvard Medical School, Boston, Massachusetts.
Benjamin Le CookHealth Equity Research Lab, Cambridge Health Alliance, Cambridge, Massachusetts.
Haiden A HuskampDepartment of Health Care Policy, Harvard Medical School, Boston, Massachusetts.
Jorge A RodriguezDivision of General Internal Medicine, Brigham and Women's Hospital, Boston, Massachusetts.
Michael L BarnettHarvard T. H. Chan School of Public Health, Boston, Massachusetts.
Lori Uscher-PinesRAND Corporation, Arlington, Virginia.
Alisa B BuschDepartment of Health Care Policy, Harvard Medical School, Boston, Massachusetts.
Ateev MehrotraDepartment of Health Care Policy, Harvard Medical School, Boston, Massachusetts.
Harvard University · USBrigham and Women's Hospital · USCambridge Health Alliance · USMassachusetts General Hospital · USMcLean Hospital · USRAND Corporation · US

Funding

Use of Telemedicine in the Treatment of Mental IllnessR01MH112829 · NIMH · HARVARD MEDICAL SCHOOL · PI HUSKAMP, HAIDEN A., MEHROTRA, ATEEV · 2018 to 2025
$5.8M
NIMH NIH HHS R01 MH112829
6 · The paper itself

Abstract

Importance: Individuals of racial and ethnic minority groups may be less likely to use telemedicine in part due to lack of access to technology (ie, digital divide). To date, some studies have found less telemedicine use by individuals of racial and ethnic minority groups compared with White individuals, and others have found the opposite. What explains these different findings is unclear. Objective: To quantify racial and ethnic differences in the receipt of telemedicine and total visits with and without accounting for demographic and clinical characteristics and geography. Design, Setting, and Participants: This cross-sectional study included individuals who were continuously enrolled in traditional Medicare from March 2020 to February 2022 or until death. Exposure: Race and ethnicity, which was categorized as Black non-Hispanic, Hispanic, White non-Hispanic, other (defined as American Indian/Pacific Islander, Alaska Native, and Asian), and unknown/missing. Main Outcomes and Measures: Total telemedicine visits (audio-video or audio); total visits (telemedicine or in-person) per individual during the study period. Multivariable models were used that sequentially adjusted for demographic and clinical characteristics and geographic area to examine their association with differences in telemedicine and total visit utilization by documented race and ethnicity. Results: In this national sample of 14 305 819 individuals, 7.4% reported that they were Black, 5.6% Hispanic, and 4.2% other race. In unadjusted results, compared with White individuals, Black individuals, Hispanic individuals, and individuals of other racial groups had 16.7 (95% CI, 16.1-17.3), 32.9 (95% CI, 32.3-33.6), and 20.9 (95% CI, 20.2-21.7) more telemedicine visits per 100 beneficiaries, respectively. After adjustment for clinical and demographic characteristics and geography, compared with White individuals, Black individuals, Hispanic individuals, and individuals of other racial groups had 7.9 (95% CI, -8.5 to -7.3), 13.2 (95% CI, -13.9 to -12.6), and 9.2 (95% CI, -10.0 to -8.5) fewer telemedicine visits per 100 beneficiaries, respectively. In unadjusted and fully adjusted models, and in 2019 and the second year of the COVID-19 pandemic, Black individuals, Hispanic individuals, and individuals of other racial groups continued to have fewer total visits than White individuals. Conclusions and Relevance: The results of this cross-sectional study of US Medicare enrollees suggest that although nationally, Black individuals, Hispanic individuals, and individuals of other racial groups received more telemedicine visits during the pandemic and disproportionately lived in geographic regions with higher telemedicine use, after controlling for geographic region, Black individuals, Hispanic individuals, and individuals of other racial groups received fewer telemedicine visits than White individuals.

Indexed as

EthnicityPandemicsAgedCross-Sectional StudiesHumansMedicareMinority GroupsUnited States

Identifiers

PMID38517424
PMCPMC10960201
OpenAlexW4393068326

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.