Evidence map›Paper›PMID 34626697›Full record

ArticleOphthalmology2022

Racial and Socioeconomic Differences in Eye Care Utilization among Medicare Beneficiaries with Glaucoma.

Omar A Halawa, Ajay Kolli, Gahee Oh, William G Mitchell, Robert J Glynn, Dae Hyun Kim, David S Friedman, Nazlee Zebardast

Open access · greenAbstract 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 50 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 2 pooled it
12.0field-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

50 citing papers in PubMed, 2 syntheses or guidelines pooled it, 89 citations in OpenAlex.

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  10. Evaluating a virtual reality visual fields analyzer in an urban, underserved glaucoma & glaucoma suspect patient populations to identify disparities.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 1 country.

Omar A HalawaHarvard Medical School, Boston, Massachusetts; Department of Ophthalmology, Massachusetts Eye and Ear Infirmary, Boston, Massachusetts.
Ajay KolliUniversity of Michigan Medical School, Ann Arbor, Michigan; Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Gahee OhMarcus Institute for Aging Research, Hebrew SeniorLife, Boston, Massachusetts.
William G MitchellHarvard T.H. Chan School of Public Health, Boston, Massachusetts.
Robert J GlynnHarvard T.H. Chan School of Public Health, Boston, Massachusetts; Brigham and Women's Hospital, Boston, Massachusetts.
Dae Hyun KimHarvard Medical School, Boston, Massachusetts; Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, Massachusetts.
David S FriedmanHarvard Medical School, Boston, Massachusetts; Department of Ophthalmology, Massachusetts Eye and Ear Infirmary, Boston, Massachusetts.
Nazlee ZebardastHarvard Medical School, Boston, Massachusetts; Department of Ophthalmology, Massachusetts Eye and Ear Infirmary, Boston, Massachusetts. Electronic address: nazlee_zebardast@meei.harvard.edu.
Harvard University · USMassachusetts Eye and Ear Infirmary · USBrigham and Women's Hospital · USHebrew SeniorLife · US

Funding

Enhancing Glaucoma Risk Prediction through Advanced Genomics and Machine LearningR01EY036518 · NEI · MASSACHUSETTS EYE AND EAR INFIRMARY · PI Nazlee Zebardast · 2024 to 2026
$2.0M
Glaucoma Risk Prediction Using Machine Learning Integration of Image-Based Phenotypes and Genetic AssociationsK23EY032634 · NEI · MASSACHUSETTS EYE AND EAR INFIRMARY · PI ZEBARDAST, NAZLEE · 2021 to 2024
$1.0M
Sociodemographic predictors of healthcare utilization and adverse outcomes in Medicare beneficiaries with glaucomaR21EY032953 · NEI · MASSACHUSETTS EYE AND EAR INFIRMARY · PI ZEBARDAST, NAZLEE · 2021 to 2022
$493k
NEI NIH HHS K23 EY032634NEI NIH HHS R01 EY036518NEI NIH HHS R21 EY032953
6 · The paper itself

Abstract

purposeEvaluate differences in eye care utilization among patients with glaucoma by race and socioeconomic status (SES).

designRetrospective cohort study.

participantsRepresentative 5% sample of Medicare beneficiaries aged > 65 years with continuous part A/B enrollment between January 1, 2014, and July 1, 2014, at least 1 diagnosis code for glaucoma within that period, and a glaucoma diagnosis in the Chronic Conditions Warehouse before January 1, 2014.

methodsThe following race/ethnicity categories were defined in our cohort: non-Hispanic White, Black/African American, Hispanic, and Asian/Pacific Islander. Low SES was defined as having 2 or more enrollment-based low-income indicators (dual eligibility for Medicare/Medicaid, Part D limited income subsidies, and eligibility for Part A and B State buy-in). Negative binomial regression analyses were carried out to compare relative rate ratios (RRs) of eye care utilization among racial groups stratified by low and non-low SES.

main outcome measuresMeasured from July 1, 2014, to December 31, 2016: eye examinations and eye care-related office visits; eye care-related inpatient and emergency department (ED) encounters; eye care-related nursing home and home-visit encounters; visual field and retinal nerve fiber OCT tests; glaucoma lasers and surgeries.

resultsAmong 78 526 participants with glaucoma, mean age was 79.1 years (standard deviation, 7.9 years), 60.9% were female, 78.4% were non-Hispanic White, and 13.8% met enrollment-based criteria for low-SES. Compared with White beneficiaries, Blacks had lower counts of outpatient visits (RR, 0.92; 95% confidence interval [CI], 0.90-0.93), visual field (VF) tests (RR, 0.92; 95% CI, 0.90-0.94), but more inpatient/ED encounters (RR, 2.42; 95% CI, 1.55-3.78) and surgeries (RR, 1.14; 95% CI, 1.03-1.27). Hispanics had fewer outpatient visits (RR, 0.97; 95% CI, 0.95-0.98) and retinal nerve fiber layer (RNFL) OCT tests (RR, 0.89; 95% CI, 0.86-0.93), but more inpatient/ED encounters (RR, 2.32; 95% CI, 1.18-4.57) and selective laser trabeculoplasty (SLT) (RR, 1.25; 95% CI, 1.11-1.42) versus non-Hispanic Whites. In the non-low SES group, Black versus White disparities persisted in outpatient visits (RR, 0.93; 95% CI, 0.92-0.95), VF (RR, 0.96; 95% CI, 0.94-0.98), RNFL OCT (RR, 0.81; 95% CI, 0.78-0.83), and inpatient/ED encounters (RR, 2.57; 95% CI, 1.55-4.26).

conclusionsDisparities were found in eye care utilization among Black and Hispanic patients with glaucoma. These differences persisted among Blacks after stratification by SES, suggesting that systemic racism may be an independent driver in this population.

Indexed as

GlaucomaMedicareAgedFemaleHealthcare DisparitiesHumansMaleRetrospective StudiesSocial ClassUnited StatesDisparitiesGlaucomaMedicareUtilization

Identifiers

PMID34626697
PMCPMC8940630
OpenAlexW3203726949

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.