Evidence map›Paper›PMID 34624059›Full record

ArticlePloS one2021

Disparities in telemedicine utilization among surgical patients during COVID-19.

Courtney M Lattimore, William J Kane, Mark A Fleming, Allison N Martin, J Hunter Mehaffey, Mark E Smolkin, Sarah J Ratcliffe, Victor M Zaydfudim, Shayna L Showalter, Traci L Hedrick

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 5% 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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 45 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Observational
  6. Article
  7. Article
  8. Article
  9. Telemedicine Use Among Adults with Asthma in the United States, 2021-2022.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2024
    Article
  10. Article
  11. Article
  12. Observational
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

10 authors at 3 institutions in 1 country.

Courtney M LattimoreDepartment of Surgery, University of Virginia Health System, Charlottesville, Virginia, United States of America.ORCID 0000-0002-2200-6943
William J KaneDepartment of Surgery, University of Virginia Health System, Charlottesville, Virginia, United States of America.
Mark A FlemingDepartment of Surgery, University of Virginia Health System, Charlottesville, Virginia, United States of America.ORCID 0000-0001-8589-2439
Allison N MartinDepartment of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America.
J Hunter MehaffeyDepartment of Surgery, University of Virginia Health System, Charlottesville, Virginia, United States of America.
Mark E SmolkinDivision of Biostatistics, Department of Public Health Sciences, School of Medicine, University of Virginia, Charlottesville, Virginia, United States of America.
Sarah J RatcliffeDivision of Biostatistics, Department of Public Health Sciences, School of Medicine, University of Virginia, Charlottesville, Virginia, United States of America.ORCID 0000-0002-6644-8284
Victor M ZaydfudimDepartment of Surgery, University of Virginia Health System, Charlottesville, Virginia, United States of America.ORCID 0000-0003-4572-7038
Shayna L ShowalterDepartment of Surgery, University of Virginia Health System, Charlottesville, Virginia, United States of America.
Traci L HedrickDepartment of Surgery, University of Virginia Health System, Charlottesville, Virginia, United States of America.
University of Virginia Health System · USUniversity of Virginia · USThe University of Texas MD Anderson Cancer Center · US

Funding

Postdoctoral Training Grant for MDs in Surgical Oncology ResearchT32CA163177 · NCI · UNIVERSITY OF VIRGINIA · PI Craig Lee Slingluff, Allan Tsung · 2011 to 2026
$4.6M
NCI NIH HHS T32 CA163177
6 · The paper itself

Abstract

backgroundTelemedicine has been rapidly adopted in the wake of the COVID-19 pandemic. There is limited work surrounding demographic and socioeconomic disparities that may exist in telemedicine utilization. This study aimed to examine demographic and socioeconomic differences in surgical patient telemedicine usage during the COVID-19 pandemic.

methodsDepartment of Surgery outpatients seen from July 1, 2019 to May 31, 2020 were stratified into three visit groups: pre-COVID-19 in-person, COVID-19 in-person, or COVID-19 telemedicine. Generalized linear models were used to examine associations of sex, race/ethnicity, Distressed Communities Index (DCI) scores, MyChart activation, and insurance status with telemedicine usage during the COVID-19 pandemic.

results14,792 patients (median age 60, female [57.0%], non-Hispanic White [76.4%]) contributed to 21,980 visits. Compared to visits before the pandemic, telemedicine visits during COVID-19 were more likely to be with patients from the least socioeconomically distressed communities (OR, 1.31; 95% CI, 1.08,1.58; P = 0.005), with an activated MyChart (OR, 1.38; 95% CI, 1.17-1.64; P < .001), and with non-government or commercial insurance (OR, 2.33; 95% CI, 1.84-2.94; P < .001). Adjusted comparison of telemedicine visits to in person visits during COVID-19 revealed telemedicine users were more likely to be female (OR, 1.38, 95% CI, 1.10-1.73; P = 0.005) and pay with non-government or commercial insurance (OR, 2.77; 95% CI, 1.85-4.16; P < .001).

conclusionsDuring the first three months of the COVID-19 pandemic, telemedicine was more likely utilized by female patients and those without government or commercial insurance compared to patients who used in-person visits. Interventions using telemedicine to improve health care access might consider such differences in utilization.

Indexed as

Healthcare DisparitiesHealth Services AccessibilityPandemicsSARS-CoV-2TelemedicineAgedCOVID-19FemaleHumansMaleMiddle AgedSex FactorsSurgical Procedures, Operative

Identifiers

PMID34624059
PMCPMC8500431
OpenAlexW3201904462

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.