Evidence map›Paper›PMID 37211338›Full record

ArticleOphthalmology2023

Social Deprivation and the Risk of Screening Positive for Glaucoma in the MI-SIGHT Telemedicine-Based Glaucoma Detection Program.

Paula Anne Newman-Casey, Joah Aliancy, Ming-Chen Lu, Maria A Woodward, Patrice M Hicks, Leslie M Niziol, David C Musch, Amanda K Bicket, Denise John, Olivia Killeen and 5 more

Open access · greenAbstract read
In one paragraph

Article in Ophthalmology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
7.5field-weighted citation impact, top 2% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

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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

15 authors at 3 institutions in 1 country.

Paula Anne Newman-CaseyKellogg Eye Center, Department of Ophthalmology & Visual Sciences, University of Michigan, Medical School, Ann Arbor, Michigan; Institute for Health Policy and Innovation, University of Michigan, Ann Arbor, Michigan. Electronic address: panewman@med.umich.edu.
Joah AliancyKellogg Eye Center, Department of Ophthalmology & Visual Sciences, University of Michigan, Medical School, Ann Arbor, Michigan.
Ming-Chen LuKellogg Eye Center, Department of Ophthalmology & Visual Sciences, University of Michigan, Medical School, Ann Arbor, Michigan.
Maria A WoodwardKellogg Eye Center, Department of Ophthalmology & Visual Sciences, University of Michigan, Medical School, Ann Arbor, Michigan; Institute for Health Policy and Innovation, University of Michigan, Ann Arbor, Michigan.
Patrice M HicksKellogg Eye Center, Department of Ophthalmology & Visual Sciences, University of Michigan, Medical School, Ann Arbor, Michigan.
Leslie M NiziolKellogg Eye Center, Department of Ophthalmology & Visual Sciences, University of Michigan, Medical School, Ann Arbor, Michigan.
David C MuschKellogg Eye Center, Department of Ophthalmology & Visual Sciences, University of Michigan, Medical School, Ann Arbor, Michigan; Institute for Health Policy and Innovation, University of Michigan, Ann Arbor, Michigan; Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan.
Amanda K BicketKellogg Eye Center, Department of Ophthalmology & Visual Sciences, University of Michigan, Medical School, Ann Arbor, Michigan; Institute for Health Policy and Innovation, University of Michigan, Ann Arbor, Michigan.
Denise JohnKellogg Eye Center, Department of Ophthalmology & Visual Sciences, University of Michigan, Medical School, Ann Arbor, Michigan.
Olivia KilleenKellogg Eye Center, Department of Ophthalmology & Visual Sciences, University of Michigan, Medical School, Ann Arbor, Michigan; Institute for Health Policy and Innovation, University of Michigan, Ann Arbor, Michigan.
Sarah D WoodKellogg Eye Center, Department of Ophthalmology & Visual Sciences, University of Michigan, Medical School, Ann Arbor, Michigan.
Leroy JohnsonHamilton Community Health Network, Flint, Michigan.
Martha KershawHope Clinic, Ypsilanti, Michigan.
Jason ZhangKellogg Eye Center, Department of Ophthalmology & Visual Sciences, University of Michigan, Medical School, Ann Arbor, Michigan.
Angela R ElamKellogg Eye Center, Department of Ophthalmology & Visual Sciences, University of Michigan, Medical School, Ann Arbor, Michigan; Institute for Health Policy and Innovation, University of Michigan, Ann Arbor, Michigan.
University of Michigan · USHealth Net · USHOPE Clinic · US

Funding

Michigan IRACDA: Training Future Professors of Engineering and PhysiologyK12GM111725 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BROOKS, SUSAN V, SEPT, DAVID · 2016 to 2025
$7.9M
Sustainable Community Clinic Telemedicine-Based Glaucoma ScreeningU01DP006442 · DP · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI NEWMAN-CASEY, PAULA ANNE · 2019 to 2023
$3.5M
Increasing Eye Care Utilization in Black Americans At High Risk For Glaucoma Using A Community-Engaged and Faith-Based InterventionK23MD016430 · NIMHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ELAM, ANGELA R · 2021 to 2024
$678k
NCCDPHP CDC HHS U01 DP006442NEI NIH HHS L60 EY034352NIGMS NIH HHS K12 GM111725NIMHD NIH HHS K23 MD016430
6 · The paper itself

Abstract

purposeTo assess whether increased poverty is associated with increased risk of screening positive for glaucoma or suspected glaucoma in a large public screening and intervention program.

designCross-sectional study from 2020 to 2022.

participantsAdults ≥ 18 years old without acute ocular symptoms.

methodsMichigan Screening and Intervention for Glaucoma and eye Health through Telemedicine (MI-SIGHT) program participants' sociodemographic characteristics and area deprivation index (ADI) values were summarized from the clinical sites, which included a free clinic and a Federally Qualified Health Center (FQHC). The ADI, a composite measure of neighborhood deprivation (range, 1-10; 10 is worst deprivation), was assigned on the basis of the participants' addresses. Group comparisons were performed via 2-sample t tests or Wilcoxon Mann-Whitney tests for continuous measures and chi-square tests or Fisher exact tests with Monte Carlo simulation for categorical measures; Holm adjustment was used for multiple comparisons.

main outcome measuresRisk factors for screening positive for glaucoma or suspected glaucoma.

resultsOf the 1171 enrolled participants, 1165 (99.5%) completed the screening: 34% at the free clinic and 66% at the FQHC. Participants were on average aged 55.1 ± 14.5 years, 62% were women, 54% self-reported as Black/African-American, 34% White, 10% Hispanic or Latino, and 70% earned < $30 000 annually. The mean ADI was 7.2 ± 3.1. The FQHC had higher (worse) ADI than the free clinic (free clinic: 4.5 ± 2.9, FQHC: 8.5 ± 2.1, P < 0.0001). One-quarter (24%) of participants screened positive for glaucoma or suspected glaucoma. Screening positive for glaucoma or suspected glaucoma was associated with being older (P = 0.01), identifying as Black/African-American (P = 0.0001), having an established eyecare clinician (P = 0.0005), and not driving a personal vehicle to the appointment (P = 0.001), which is a proxy for increased poverty. Participants who screened positive had worse ADI than those who screened negative (7.7 ± 2.8 vs. 7.0 ± 3.2, P = 0.002). A larger percentage of White participants screened positive at the FQHC compared with White participants at the free clinic (21.3% vs. 12.3%, P = 0.01). FQHC White participants had worse ADI than free clinic White participants (7.5 ± 2.5 vs. 3.7 ± 2.7, P < 0.0001).

conclusionsPersonal poverty, assessed as not driving a personal vehicle to the appointment, and neighborhood-level poverty were both associated with increased rates of screening positive for glaucoma or suspected glaucoma. FINANCIAL DISCLOSURE(S): Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

Indexed as

GlaucomaOcular HypertensionTelemedicineAdolescentAdultCross-Sectional StudiesFemaleHumansMaleSocial DeprivationGlaucomaSocial DeprivationSocial Determinants of HealthTelemedicine

Identifiers

PMID37211338
PMCPMC10527632
OpenAlexW4377086879

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.