Evidence map›Paper›PMID 34324852›Full record

ArticleAmerican journal of ophthalmology2022

Disparities in Eye Care Utilization During the COVID-19 Pandemic.

Angela R Elam, David Sidhom, Peter Ugoh, Chris A Andrews, Lindsey B De Lott, Maria A Woodward, Paul P Lee, Paula Anne Newman-Casey

Abstract readComparative Study
In one paragraph

Article in American journal of ophthalmology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  14. Factors Associated with Follow-Up Adherence After Teleophthalmology for Diabetic Eye Screening Before and During the COVID-19 Pandemic.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2023
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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

8 authors.

Angela R ElamDepartment of Ophthalmology and Visual Sciences, University of Michigan Medical School; Kellogg Eye Center for Eye Policy and Innovation and applies to ARE, CAA, LBD, MAW, PPL and PANC.
David SidhomDepartment of Ophthalmology and Visual Sciences, University of Michigan Medical School.
Peter UgohBaylor College of Medicine.
Chris A AndrewsDepartment of Ophthalmology and Visual Sciences, University of Michigan Medical School; Kellogg Eye Center for Eye Policy and Innovation and applies to ARE, CAA, LBD, MAW, PPL and PANC.
Lindsey B De LottDepartment of Ophthalmology and Visual Sciences, University of Michigan Medical School; Kellogg Eye Center for Eye Policy and Innovation and applies to ARE, CAA, LBD, MAW, PPL and PANC.
Maria A WoodwardDepartment of Ophthalmology and Visual Sciences, University of Michigan Medical School; Kellogg Eye Center for Eye Policy and Innovation and applies to ARE, CAA, LBD, MAW, PPL and PANC.
Paul P LeeDepartment of Ophthalmology and Visual Sciences, University of Michigan Medical School; Kellogg Eye Center for Eye Policy and Innovation and applies to ARE, CAA, LBD, MAW, PPL and PANC.
Paula Anne Newman-CaseyDepartment of Ophthalmology and Visual Sciences, University of Michigan Medical School; Kellogg Eye Center for Eye Policy and Innovation and applies to ARE, CAA, LBD, MAW, PPL and PANC. Electronic address: panewman@med.umich.edu.

Funding

Quantifying Microbial Keratitis to Predict Outcomes: An Imaging and Epidemiologic ApproachR01EY031033 · NEI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI WOODWARD, MARIA ANNEKE · 2020 to 2023
$1.8M
Optimizing Treatment Decisions for Acute Demyelinating Optic NeuritisK23EY027849 · NEI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DE LOTT, LINDSEY BLAKE · 2018 to 2022
$1.0M
Improving glaucoma self-management with technology-supported counselorsK23EY025320 · NEI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI NEWMAN-CASEY, PAULA ANNE · 2016 to 2019
$920k
NEI NIH HHS K23 EY025320NEI NIH HHS K23 EY027849NEI NIH HHS R01 EY031033
6 · The paper itself

Abstract

purposeTo assess the relationship between telemedicine utilization and sociodemographic factors among patients seeking eye care.

designComparative utilization analysis.

methodsWe reviewed the eye care utilization patterns of a stratified random sample of 1720 patients who were seen at the University of Michigan Kellogg Eye Center during the height of the COVID-19 pandemic (April 30 to May 25, 2020) and their odds of having a video, phone, or in-person visit compared with having a deferred visit. Associations between independent variables and visit type were determined using a multinomial logistic regression model.

resultsOlder patients had lower odds of having a video visit (P = .007) and higher odds of having an in-person visit (P = .023) compared with being deferred, and in the nonretina clinic sample, older patients still had lower odds of a video visit (P = .02). Non-White patients had lower odds of having an in-person visit (P < .02) in the overall sample compared with being deferred, with a similar trend seen in the retina clinic. The mean neighborhood median household income was $76,200 (±$33,500) and varied significantly (P < .0001) by race with Blacks having the lowest estimated mean income.

conclusionDisparities exist in how patients accessed eye care during the COVID-19 pandemic with older patients-those for whom COVID-19 posed a higher risk of mortality-being more likely to be seen for in-person care. In our affluent participant sample, there was a trend toward non-White patients being less likely to access care. Reimbursing telemedicine solely through broadband internet connection may further exacerbate disparities in eye care.

Indexed as

COVID-19Delivery of Health CareHealth Services AccessibilityAge FactorsHealthcare DisparitiesHealth ServicesHumansMichiganPandemicsSARS-CoV-2Sociodemographic FactorsTelemedicine

Identifiers

PMID34324852
PMCPMC8312151

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.