Evidence map›Paper›PMID 38097811›Full record

ArticleCommunications medicine2023

Shifts in ophthalmic care utilization during the COVID-19 pandemic in the US.

Charles Li, Flora Lum, Evan M Chen, Philip A Collender, Jennifer R Head, Rahul N Khurana, Emmett T Cunningham, Ramana S Moorthy, David W Parke, Stephen D McLeod

Abstract read
In one paragraph

Article in Communications medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed.

  1. Eye care workforce density by provider type in urban and rural counties in the United States, 2010 to 2021.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2026
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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

10 authors.

Charles LiAmerican Academy of Ophthalmology, San Francisco, CA, USA. cli@aao.org.ORCID http://orcid.org/0000-0001-7088-6087
Flora LumAmerican Academy of Ophthalmology, San Francisco, CA, USA.
Evan M ChenDepartment of Ophthalmology, University of California, San Francisco, CA, USA.
Philip A CollenderDivision of Environmental Health Sciences, School of Public Health, University of California, Berkeley, CA, USA.ORCID http://orcid.org/0000-0003-1130-7123
Jennifer R HeadDivision of Environmental Health Sciences, School of Public Health, University of California, Berkeley, CA, USA.ORCID http://orcid.org/0000-0003-1449-4171
Rahul N KhuranaDepartment of Ophthalmology, University of California, San Francisco, CA, USA.
Emmett T CunninghamDepartment of Ophthalmology, California Pacific Medical Center, San Francisco, CA, USA.
Ramana S MoorthyAssociated Vitreoretinal and Uveitis Consultants, Carmel, IN, USA.
David W ParkeAmerican Academy of Ophthalmology, San Francisco, CA, USA.ORCID http://orcid.org/0000-0001-6375-5599
Stephen D McLeodAmerican Academy of Ophthalmology, San Francisco, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealthcare restrictions during the COVID-19 pandemic, particularly in ophthalmology, led to a differential underutilization of care. An analytic approach is needed to characterize pandemic health services usage across many conditions.

methodsA common analytical framework identified pandemic care utilization patterns across 261 ophthalmic diagnoses. Using a United States eye care registry, predictions of utilization expected without the pandemic were established for each diagnosis via models trained on pre-pandemic data. Pandemic effects on utilization were estimated by calculating deviations between observed and expected patient volumes from January 2020 to December 2021, with two sub-periods of focus: the hiatus (March-May 2020) and post-hiatus (June 2020-December 2021). Deviation patterns were analyzed using cluster analyses, data visualizations, and hypothesis testing.

resultsRecords from 44.62 million patients and 2455 practices show lasting reductions in ophthalmic care utilization, including visits for leading causes of visual impairment (age-related macular degeneration, diabetic retinopathy, cataract, glaucoma). Mean deviations among all diagnoses are 67% below expectation during the hiatus peak, and 13% post-hiatus. Less severe conditions experience greater utilization reductions, with heterogeneities across diagnosis categories and pandemic phases. Intense post-hiatus reductions occur among non-vision-threatening conditions or asymptomatic precursors of vision-threatening diseases. Many conditions with above-average post-hiatus utilization pose a risk for irreversible morbidity, such as emergent pediatric, retinal, or uveitic diseases.

conclusionsWe derive high-resolution insights on pandemic care utilization in the US from high-dimensional data using an analytical framework that can be applied to study healthcare disruptions in other settings and inform efforts to pinpoint unmet clinical needs.

Identifiers

PMID38097811
PMCPMC10721809

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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.