Evidence map›Paper›PMID 38995125›Full record

ArticleJournal of glaucoma2025

Neighborhood Poverty and Clinic Attendance in the Michigan Screening and Intervention for Glaucoma and Eye Health Through Telemedicine Program.

Rithambara Ramachandran, Patrice M Hicks, Ming-Chen Lu, Leslie M Niziol, Maria A Woodward, Angela R Elam, Leroy Johnson, Martha Kershaw, David C Musch, Amanda Bicket and 3 more

Abstract readMulticenter Study
In one paragraph

Article in Journal of glaucoma, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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

13 authors.

Rithambara RamachandranDepartments of Ophthalmology and Visual Sciences.
Patrice M HicksDepartments of Ophthalmology and Visual Sciences.
Ming-Chen LuDepartments of Ophthalmology and Visual Sciences.
Leslie M NiziolDepartments of Ophthalmology and Visual Sciences.
Maria A WoodwardDepartments of Ophthalmology and Visual Sciences.
Angela R ElamDepartments of Ophthalmology and Visual Sciences.
Leroy JohnsonHamilton Community Health Network, Flint.
Martha KershawHope Clinic, Ypsilanti, MI.
David C MuschDepartments of Ophthalmology and Visual Sciences.
Amanda BicketDepartments of Ophthalmology and Visual Sciences.
Denise JohnDepartments of Ophthalmology and Visual Sciences.
Olivia J KilleenDepartment of Ophthalmology, Duke University, Durham, NC.
Paula Anne Newman-CaseyDepartments of Ophthalmology and Visual Sciences.

Funding

PENN Vision Clinical Scientist ProgramK12EY015398 · NEI · UNIVERSITY OF PENNSYLVANIA · PI JOSHUA L DUNAIEF · 2004 to 2026
$11.7M
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
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 K12 EY015398NIGMS NIH HHS K12 GM111725NIMHD NIH HHS K23 MD016430
6 · The paper itself

Abstract

PRÉCIS: Higher neighborhood-level poverty is associated with greater odds of missing a free eye disease screening appointment, underscoring the importance of community-based interventions to address upstream social determinants of health. PURPOSE: To investigate the association between neighborhood-level characteristics and attendance for a free eye disease screening.

methodsThe MI-SIGHT program is conducted in 2 community clinics in Southeastern Michigan. Participant-level demographics were extracted from electronic health records. Neighborhood-level characteristics, including Area Deprivation Index (ADI), median household income (HHI), percent of households with >30% rent burden, percent of households without vehicles, percent of households in subsidized housing, and energy burden, were obtained from the Wisconsin Neighborhood Atlas and the United States census. Logistic regression was used to model the probability of clinic visit attendance, which was the main outcome measure.

resultsOne thousand four hundred thirty-one participants were scheduled for screening appointments between July 2020 and November 2021, with a no-show rate of 23%. Individuals lived an average of 7.7 miles from each clinic (SD=8.1) and in neighborhoods with a mean ADI of 6.8 (SD=3.2, 1-10 scale, where 10 is the most deprived). After adjusting for age, sex, race, and ethnicity, participants from neighborhoods with higher deprivation were more likely to have missed clinic visits. For example, there was an 8% higher odds of missed clinic visits for every 1-point increase in ADI (odds ratio, OR=1.08, P =0.020) and an 18% higher odds of a missed visit with every 10% increase in households without a vehicle (OR=1.18, P =0.013).

conclusionsHigher neighborhood-level poverty was associated with greater odds of missing a free eye disease screening appointment after adjusting for individual characteristics. Increased neighborhood-level resources are likely needed to bolster engagement in preventive eye care.

Indexed as

PovertyResidence CharacteristicsTelemedicineAgedFemaleGlaucomaHealth Services AccessibilityHumansMaleMass ScreeningMichiganMiddle Aged

Identifiers

PMID38995125
PMCPMC11634665

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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.