Evidence map›Paper›PMID 35112280›Full record

ArticleJournal of general internal medicine2022

Utilization Gaps During the COVID-19 Pandemic: Racial and Ethnic Disparities in Telemedicine Uptake in Federally Qualified Health Center Clinics.

Omolola E Adepoju, Minji Chae, Chinedum O Ojinnaka, Sharonya Shetty, Tracy Angelocci

Open access · bronzeAbstract read
In one paragraph

Article in Journal of general internal medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
80citing papers in PubMed, 2 pooled it
26.1field-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

80 citing papers in PubMed, 2 syntheses or guidelines pooled it, 134 citations in OpenAlex.

  1. Pooled it
  2. Telemedicine Implementation for Safety Net Populations: A Systematic Review.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2024
    Pooled it
  3. Differential Impact of Virtual Family-Centered Rounds in the Neonatal Intensive Care Unit by Social Factors: A Post Hoc Subgroup Analysis.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2024
    Trial
  4. Trial
  5. Trial
  6. Article
  7. Article
  8. 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
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Observational
  18. Article
  19. Article
  20. Article

20 more citing papers are in PubMed but not listed here.

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

5 authors at 5 institutions in 1 country.

Omolola E AdepojuUniversity of Houston, College of Medicine, 4849 Calhoun Road, Bldg 2, Houston, TX, 77204, USA. oadepoju@central.uh.edu.ORCID 0000-0002-5585-7146
Minji ChaeHumana Integrated Health Systems Sciences Institute, Houston, TX, USA.
Chinedum O OjinnakaCollege of Health Solutions, Arizona State University, Phoenix, AZ, USA.
Sharonya ShettyUniversity of Houston, College of Medicine, 4849 Calhoun Road, Bldg 2, Houston, TX, 77204, USA.
Tracy AngelocciLone Star Circle of Care, Austin, TX, USA.
Arizona State University · USHouston Health and Human Services Department · USHumana (United States) · USLone Star College · USUniversity of Houston · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Coronavirus Aid, Relief, and Economic Security (CARES) Act led to the rapid implementation of telemedicine across healthcare office settings. This innovation has the potential to improve healthcare use and ensure continuity of care. However, this delivery model could have an unintended consequence of worsening racial/ethnic disparities in healthcare utilization if adoption varies across sub-populations.

objectiveTo examine associations between telemedicine use and race/ethnicity between 3/1/2020 and 11/30/2020, and the influence of other individual- and geographical-level factors on this relationship.

designCohort study

participantsEMR data from 55 clinics in a FQHC network MAIN MEASURES: The dependent variable was visit type (in-person vs. telemedicine). Predictors of interest were patient race and ethnicity. To account for repeated visits within each patient nested within clinic, a three-level, mixed-effects, multivariable, logistic regression model was used. Subgroup analyses examined correlates of telemedicine use in African American and Hispanic cohorts, separately. KEY

resultsThe analytic sample included 233,302 visits for 67,733 unique patients. African Americans (OR = 0.65, 95% CI: 0.61, 0.69), Asians (OR = 0.58, 95% CI: 0.52, 0.65), and American Indians / Alaska Natives and other Pacific Islanders (OR = 0.82, 95% CI: 0.70, 0.98) were significantly less likely to use telemedicine compared to Whites. Hispanics were also less likely to have a telemedicine visit (OR = 0.49, 95% CI: 0.47, 0.51) compared to non-Hispanics. Nonacute visits were more likely to be conducted via telemedicine. Distance to clinic exhibited a dose-response relationship such that patients who lived farthest from the clinics were most likely to have telemedicine visits. In the subgroup analyses to examine predictors of telemedicine use, the dose-response relationship between distance from clinic and telemedicine use persisted, with increasing distance associated with increasing likelihood of telemedicine use, in both African American and Hispanic cohorts. Nonacute visits were associated with telemedicine use in the Hispanic cohort, but not in the Black / African American cohort.

conclusionRacial/ethnic disparities in telemedicine use persisted among this cohort. However, telemedicine improved utilization for African Americans and Hispanics living farther away from the clinic.

Indexed as

COVID-19TelemedicineEthnicityHealthcare DisparitiesHumansPandemicsRacial GroupsFQHCshealthcare utilizationhealth disparitiestelemedicine

Identifiers

PMID35112280
PMCPMC8809627
OpenAlexW4210314386

What OpenQuestion holds

Textmetadata
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.