Evidence map›Paper›PMID 36521570›Full record

ArticleOphthalmology2023

Seeing Red: Associations between Historical Redlining and Present-Day Visual Impairment and Blindness.

Patrice M Hicks, Maria A Woodward, Leslie M Niziol, Ming-Chen Lu, Linda Kang, Brian C Stagg, Otana Jakpor, Angela R Elam, Paula Anne Newman-Casey

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 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 13% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 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

9 authors at 2 institutions in 1 country.

Patrice M HicksDepartment of Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, Michigan.
Maria A WoodwardDepartment of Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, Michigan; Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, Michigan.
Leslie M NiziolDepartment of Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, Michigan.
Ming-Chen LuDepartment of Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, Michigan.
Linda KangDepartment of Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, Michigan.
Brian C StaggMoran Eye Center, University of Utah, Salt Lake City, Utah; Department of Population Health Sciences, University of Utah, Salt Lake City, Utah.
Otana JakporDepartment of Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, Michigan.
Angela R ElamDepartment of Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, Michigan.
Paula Anne Newman-CaseyDepartment of Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, Michigan; Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, Michigan. Electronic address: panewman@med.umich.edu.
University of Michigan · USUniversity of Utah · US

Funding

Michigan Center for Urban African American Aging Research - RESEARCH CORE (REC)P30AG015281 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Jaymia Ann Mitchell · 1997 to 2026
$19.3M
University of Utah, Core Vision Research GrantP30EY014800 · NEI · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI PAUL STEVEN BERNSTEIN · 2005 to 2026
$14.6M
Support, Educate, Empower: The SEE Personalized Glaucoma Coaching Trial: Diversity SupplementR01EY031337 · NEI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI NEWMAN-CASEY, PAULA ANNE · 2020 to 2024
$3.9M
Quantifying and Understanding Glaucoma Eye Drop Medication Instillation and AdherenceR01EB032328 · NIBIB · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Stephen Matthew Cain, Paula Anne Newman-Casey · 2022 to 2026
$3.0M
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
Improving Glaucoma Care Using a Scalable Decision Support SystemK23EY032577 · NEI · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Brian Stagg · 2022 to 2026
$1.3M
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
ACL HHS U01DP006442NCCDPHP CDC HHS U01 DP006442NEI NIH HHS K23 EY032577NEI NIH HHS P30 EY014800NEI NIH HHS R01 EY031033NEI NIH HHS R01 EY031337NIA NIH HHS P30 AG015281NIBIB NIH HHS R01 EB032328NIMHD NIH HHS K23 MD016430
6 · The paper itself

Abstract

purposeRedlining was a discriminatory housing policy in the United States that began in 1933 and denoted neighborhoods with high proportions of Black individuals as "undesirable" and a high risk for lending, which therefore excluded people from obtaining traditional insured mortgages to purchase a home. Simultaneously, realtors discouraged Black individuals from purchasing homes in predominantly non-Black neighborhoods. This resulted in decreased home ownership and wealth accumulation among Black individuals and neighborhoods with high proportions of Black individuals. This study investigated rates of visual impairment and blindness (VIB) in neighborhoods that at one time were graded for redlining.

designSecondary data analysis of American Community Survey data and historical grades for redlining.

participantsUnited States census tracts (CTs) from 2010 with historical grades for redlining.

methodsOne-way analysis of variance, Kruskal-Wallis test, chi-square test, and logistic regression modeling.

main outcome measuresThe main outcome was CT percentage of residents reporting VIB and the association with historical grades for redlining. Grades were converted to numeric values (1 to 4, with higher values indicating worse grade) and aggregated over a CT based on the distribution of grades within to obtain a redlining score. Logistic regression was used to model the effect of redlining on the probability of having VIB.

resultsEleven thousand six hundred sixty-eight CTs were analyzed. Logistic regression found that a 1-unit increase in average redlining score was associated with a 13.4% increased odds of VIB after controlling for CT measures of age, sex, people of color (any non-White race), state, and population size (odds ratio [OR], 1.134; 95% confidence interval [CI], 1.131-1.138; P < 0.001). Similar results were observed for an additional model that adjusted for the estimated percentage of Black residents within a CT (OR, 1.180; 95% CI, 1.177-1.183; P < 0.001).

conclusionsHistorical government-sanctioned residential segregation through redlining was found to be associated with higher proportions of people living with VIB in these neighborhoods today. Understanding how neighborhood segregation impacts eye health is important for planning improved mechanisms of eye care delivery to mitigate health disparities. FINANCIAL DISCLOSURE(S): Proprietary or commercial disclosure may be found after the references.

Indexed as

HousingResidence CharacteristicsBlindnessHumansResidential SegregationUnited StatesVision DisordersHealth equityNeighborhood healthRedliningSocial determinants of healthVisual impairment

Identifiers

PMID36521570
PMCPMC10069292
OpenAlexW4311675892

What OpenQuestion holds

Textmetadata
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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.