Evidence map›Paper›PMID 37709171›Full record

ArticleOphthalmology2024

Relationship between Unstable Housing, Food Insecurity, and Vision Status in the MI-SIGHT Community Eye Disease Screening Program.

Mikaelah A Johnson-Griggs, Patrice M Hicks, Ming-Chen Lu, Eric Sherman, Leslie M Niziol, Angela R Elam, Maria A Woodward, Amanda K Bicket, Olivia J Killeen, Sarah Wood and 5 more

Open access · bronzeAbstract read
In one paragraph

Article in Ophthalmology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

7 citing papers in PubMed, 7 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 2 institutions in 1 country.

Mikaelah A Johnson-GriggsDepartment of Ophthalmology and Visual Sciences, University of Michigan Medical School, Ann Arbor, Michigan.
Patrice M HicksDepartment 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.
Eric ShermanDepartment of Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, Michigan.
Leslie M NiziolDepartment 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.
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.
Amanda K BicketDepartment of Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, Michigan.
Olivia J KilleenDepartment of Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, Michigan.
Sarah WoodDepartment of Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, Michigan.
Denise JohnDepartment of Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, Michigan.
Leroy JohnsonHamilton Community Health Clinic, Flint, Michigan.
Martha KershawHope Clinic, Ypsilanti, Michigan.
David C MuschDepartment of Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, Michigan; Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, Michigan; Department of Epidemiology, School of Public Health, 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 · 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 DP006442NIGMS NIH HHS K12 GM111725NIMHD NIH HHS K23 MD016430
6 · The paper itself

Abstract

purposeHousing and food insecurity are social risk factors that can impact eye health outcomes. This study investigated the association of these social risk factors with vision and ophthalmic pathologic characteristics.

designCross-sectional study from July 28, 2020, through July 27, 2021, for the free clinic and January 27, 2021, through January 26, 2022, for the Federally Qualified Health Center.

participantsMichigan Screening and Intervention for Glaucoma and Eye Health through Telemedicine program first-year participants.

methodsData collected included sociodemographic features, housing and food insecurity status, and results from a comprehensive telemedicine assessment. Individual-level and neighborhood-level characteristics were summarized with descriptive statistics. Differences in participant characteristics between housing and food security status were tested by 2-sample t tests for continuous measures and chi-square or Fisher exact tests for categorical measures. Logistic regression was used to test the independent associations between housing and food insecurity and ophthalmic disease, adjusted for age. The Holm’s procedure was performed to adjust for multiple comparisons.

main outcome measuresVisual impairment (VI; presenting visual acuity [VA], < 20/40), uncorrected or undercorrected refractive error (PVA, < 20/40; and best-corrected VA, ≥ 20/40), glaucoma, diabetic retinopathy, cataract, and macular degeneration.

resultsParticipants (n = 1165) were mean ± standard deviation [SD] of 55 ± 14.5 years of age, 62% identified as female, 54% identified as Black or African American, 10% identified as Hispanic or Latino, 49.7% had annual household income of less than $20 000, and 20% reported no medical insurance. Presenting VA was mean ± SD of 0.12 ± 0.19 logarithm of the minimum angle of resolution units (Snellen equivalent, 20/26 ± 1.9 lines). Visual impairment and uncorrected or undercorrected refractive error were identified in 10.3% and 8.3% of participants, respectively. Participants reported housing insecurity (3.4%) and food insecurity (28.9%), and 2.2% reported both. Among participants with unstable housing, 26.3% showed VI and 23.7% showed uncorrected or undercorrected refractive error. Unstable housing was associated with higher odds of VI (odds ratio, 3.53; P = 0.006) and uncorrected or undercorrected refractive error (odds ratio, 3.74; P = 0.006). No associations were observed between unstable housing and other ocular pathologic features or food insecurity and any ocular pathologic features.

conclusionsBecause unstable housing is associated with VI and uncorrected refractive error, future initiatives could focus on interventions to address both unstable housing and the increased need for eye care among those with unstable housing. FINANCIAL DISCLOSURE(S): Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

Indexed as

Refractive ErrorsVision, LowAdultCross-Sectional StudiesFemaleFood InsecurityHousingHumansMaleMiddle AgedPrevalenceQuality of LifeVision DisordersFood insecuritySocial risk factorsUnstable housingVision screeningVision status

Identifiers

PMID37709171
PMCPMC11044600
OpenAlexW4386647340

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.