Evidence map›Paper›PMID 28583710›Full record

ArticleOphthalmology2017

Large Disparities in Receipt of Glaucoma Care between Enrollees in Medicaid and Those with Commercial Health Insurance.

Angela R Elam, Chris Andrews, David C Musch, Paul P Lee, Joshua D Stein

Open access · greenAbstract readComparative Study
In one paragraph

Article in Ophthalmology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

32 citing papers in PubMed, 64 citations in OpenAlex.

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  20. Addressing Social Determinants of Vision Health.Ophthalmology and therapy · 2022
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Angela R ElamDepartment of Ophthalmology and Visual Sciences, University of Michigan Medical School, Ann Arbor, Michigan; Center for Eye Policy and Innovation, University of Michigan, Ann Arbor, Michigan.
Chris AndrewsDepartment of Ophthalmology and Visual Sciences, University of Michigan Medical School, Ann Arbor, Michigan; Center for Eye Policy and Innovation, University of Michigan, Ann Arbor, Michigan.
David C MuschDepartment of Ophthalmology and Visual Sciences, University of Michigan Medical School, Ann Arbor, Michigan; Center for Eye Policy and Innovation, University of Michigan, Ann Arbor, Michigan; Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan.
Paul P LeeDepartment of Ophthalmology and Visual Sciences, University of Michigan Medical School, Ann Arbor, Michigan; Center for Eye Policy and Innovation, University of Michigan, Ann Arbor, Michigan.
Joshua D SteinDepartment of Ophthalmology and Visual Sciences, University of Michigan Medical School, Ann Arbor, Michigan; Center for Eye Policy and Innovation, University of Michigan, Ann Arbor, Michigan; Department of Health Management and Policy, University of Michigan School of Public Health, Ann Arbor, Michigan. Electronic address: jdstein@med.umich.edu.
University of Michigan–Ann Arbor · US

Funding

Personalized Forecasting of Disease Trajectory for Patients with Open Angle GlaucomaR01EY026641 · NEI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LAVIERI-WILLIAMS, MARIEL SOFIA, STEIN, JOSHUA D · 2016 to 2020
$2.9M
NEI NIH HHS R01 EY026641
6 · The paper itself

Abstract

purposeTo determine whether the type of health insurance a patient possesses and a patient's race/ethnicity affect receipt of common tests to monitor open-angle glaucoma (OAG).

designRetrospective longitudinal cohort study.

participantsA total of 21 766 persons aged ≥40 years with newly diagnosed OAG between 2007 and 2011 enrolled in Medicaid or a large United States managed care network.

methodsWe determined the proportion of patients with newly diagnosed OAG who underwent visual field (VF) testing, fundus photography (FP), other ocular imaging (OOI), or none of these tests within the first 15 months after initial OAG diagnosis. Multivariable logistic regression was used to assess the extent by which health insurance type and race/ethnicity affected the odds of undergoing glaucoma testing.

main outcome measuresOdds ratios (OR) of undergoing VF testing, FP, OOI, or none of these tests in the 15 months after initial OAG diagnosis with 95% confidence intervals (CI).

resultsA total of 18 372 persons with commercial health insurance and 3394 Medicaid recipients met the study inclusion criteria. The proportions of persons with commercial health insurance with newly diagnosed OAG who underwent VF, FP, and OOI were 63%, 22%, and 54%, respectively, whereas the proportions were 35%, 19%, and 30%, respectively, for Medicaid recipients. Compared with those with commercial health insurance, Medicaid recipients were 234% more likely to not receive any glaucoma testing in the 15 months after initial diagnosis (OR = 3.34; 95% CI, 3.07-3.63). After adjustment for confounders, whites with OAG enrolled in Medicaid had 198% higher odds of receiving no glaucoma testing compared with whites possessing commercial health insurance (OR = 2.98; 95% CI, 2.66-3.33). Blacks with Medicaid insurance demonstrated 291% higher odds (OR = 3.91; 95% CI, 3.40-4.49) of not receiving any glaucoma testing compared with blacks with commercial health insurance.

conclusionsIrrespective of race/ethnicity, Medicaid recipients with OAG are receiving substantially less glaucoma testing compared with persons with commercial health insurance. Disparities in testing are observed across all races/ethnicities but were most notable for blacks. These findings are particularly disconcerting because blacks are more likely than whites to go blind from OAG and there are disproportionately more blacks in Medicaid. Efforts are needed to improve the quality of glaucoma care for Medicaid recipients, especially racial minorities.

Indexed as

Diagnostic Techniques, OphthalmologicalAdultAgedAged, 80 and overCohort StudiesDelivery of Health CareDiagnostic ImagingEthnicityFemaleFluorescein AngiographyFollow-Up StudiesGlaucoma, Open-AngleHealthcare DisparitiesHumansInsurance, HealthIntraocular Pressure

Identifiers

PMID28583710
PMCPMC6145133
OpenAlexW2620971562

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.