Evidence map›Paper›PMID 34245753›Full record

ArticleOphthalmology2022

Socioeconomic and Demographic Disparities in the Use of Telemedicine for Ophthalmic Care during the COVID-19 Pandemic.

Evan M Chen, Joana E Andoh, Kristen Nwanyanwu

Open access · bronzeAbstract read
In one paragraph

Article in Ophthalmology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 3 pooled it
13.7field-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, 3 syntheses or guidelines pooled it, 83 citations in OpenAlex.

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  14. 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
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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

3 authors at 2 institutions in 1 country.

Evan M ChenDepartment of Ophthalmology, School of Medicine, University of California, San Francisco, San Francisco, California; Department of Ophthalmology and Visual Science, Yale School of Medicine, New Haven, Connecticut.
Joana E AndohDepartment of Ophthalmology and Visual Science, Yale School of Medicine, New Haven, Connecticut.
Kristen NwanyanwuDepartment of Ophthalmology and Visual Science, Yale School of Medicine, New Haven, Connecticut. Electronic address: k.nwanyanwu@yale.edu.
Yale University · USUniversity of California, San Francisco · US

Funding

Yale Diabetes Research CenterP30DK045735 · NIDDK · YALE UNIVERSITY · PI GERALD I SHULMAN · 1993 to 2026
$44.0M
Undiagnosed Diabetic Retinopathy: Using Participatory Science to Design an Intervention for Patients at High-Risk for BlindnessK23EY030530 · NEI · YALE UNIVERSITY · PI NWANYANWU, KRISTEN · 2019 to 2023
$1.3M
NIA Short Term Research Training: Students in Health Professional SchoolsT35AG049685 · NIA · YALE UNIVERSITY · PI Sarwat I Chaudhry, Terri R. Fried · 2016 to 2026
$804k
European Research CouncilNEI NIH HHS K23 EY030530NIA NIH HHS T35 AG049685NIDDK NIH HHS P30 DK045735
6 · The paper itself

Abstract

purposeTo identify disparities in the use of telemedicine during the coronavirus disease 2019 (COVID-19) pandemic.

designA cross-sectional study of completed clinical encounters in an academic ophthalmology center from March 2020 through August 2020.

participantsA total of 5023 patients comprising 8116 ophthalmic clinical encounters.

methodsMedical charts were abstracted for demographic information. We identified zip code-level socioeconomic characteristics, which were drawn from the 2019 American Community Survey 5-year estimates.

main outcome measuresThe completion of a synchronous video encounter, the completion of a telephone (audio-only) encounter in the absence of any video encounters, or the completion of in-person encounters only.

resultsDuring the study period, 8116 total clinical encounters were completed for 5023 unique patients. Of these patients, 446 (8.9%) participated in a video encounter, 642 (12.8%) completed a telephone encounter, and 3935 (78.3%) attended clinical appointments in person only. In adjusted analysis, patients who were Black (odds ratio [OR], 0.65; 95% confidence interval [CI], 0.52-0.80; P < 0.001) or Hispanic/Latino (OR, 0.65; 95% CI, 0.49-0.85; P = 0.002) were significantly less likely to complete a video or telephone appointment. Older patients (OR, 0.99; 95% CI, 0.98-0.99; P < 0.001), patients whose primary language was not English (OR, 0.49; 95% CI, 0.28-0.82; P = 0.01), Black patients (OR, 0.45; 95% CI, 0.32-0.62; P < 0.001), and Hispanic/Latino patients (OR, 0.56; 95% CI, 0.37-0.83; P = 0.005) were significantly less likely to complete a video encounter. Finally, among patients completing any type of telemedicine encounter, older age, (OR, 1.02; 95% CI, 1.01-1.03; P < 0.001), Medicare insurance (OR, 1.55; 95% CI, 1.11-2.17; P = 0.01), and Black race (OR, 1.97; 95% CI, 1.33-2.94; P < 0.001) were associated with using only phone visits.

conclusionsEthnic/racial minorities, older patients, and non-English-speaking individuals were significantly less likely to complete a video telehealth encounter. With the expansion of telemedicine and the need to reduce the disparate impact of COVID-19 on minorities, it will be increasingly important to identify barriers to telehealth use and opportunities to improve access.

Indexed as

SARS-CoV-2Socioeconomic FactorsAdultAgedAged, 80 and overAppointments and SchedulesCOVID-19Cross-Sectional StudiesDelivery of Health CareEthnic and Racial MinoritiesFemaleHealthcare DisparitiesHealth Services AccessibilityHumansMaleMedicareCOVID-19DisparitiesTelehealthTeleophthalmologyVideo visits

Identifiers

PMID34245753
PMCPMC8415734
OpenAlexW3180565986

What OpenQuestion holds

Textmetadata
LicenceTDM
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.