Evidence map›Paper›PMID 38722650›Full record

ArticleJAMA ophthalmology2024

Place-Based Measures of Inequity and Vision Difficulty and Blindness.

Patrice M Hicks, George Lin, Paula Anne Newman-Casey, Leslie M Niziol, Ming-Chen Lu, Maria A Woodward, Angela R Elam, David C Musch, Roshanak Mehdipanah, Joshua R Ehrlich and 1 more

Abstract read
In one paragraph

Article in JAMA ophthalmology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Patrice M HicksDepartment of Ophthalmology & Visual Sciences, Medical School, University of Michigan, Ann Arbor.
George LinDepartment of Ophthalmology & Visual Sciences, Medical School, University of Michigan, Ann Arbor.
Paula Anne Newman-CaseyDepartment of Ophthalmology & Visual Sciences, Medical School, University of Michigan, Ann Arbor.
Leslie M NiziolDepartment of Ophthalmology & Visual Sciences, Medical School, University of Michigan, Ann Arbor.
Ming-Chen LuDepartment of Ophthalmology & Visual Sciences, Medical School, University of Michigan, Ann Arbor.
Maria A WoodwardDepartment of Ophthalmology & Visual Sciences, Medical School, University of Michigan, Ann Arbor.
Angela R ElamDepartment of Ophthalmology & Visual Sciences, Medical School, University of Michigan, Ann Arbor.
David C MuschDepartment of Ophthalmology & Visual Sciences, Medical School, University of Michigan, Ann Arbor.
Roshanak MehdipanahHousing Solutions for Health Equity, University of Michigan, Ann Arbor.
Joshua R EhrlichDepartment of Ophthalmology & Visual Sciences, Medical School, University of Michigan, Ann Arbor.
David B ReinNORC, University of Chicago, Chicago, Illinois.

Funding

VIVARIUM MODULEP30EY007003 · NEI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI David Antonetti · 1987 to 2026
$17.6M
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
NEI NIH HHS P30 EY007003NEI NIH HHS R01 EY031337
6 · The paper itself

Abstract

Importance: Known social risk factors associated with poor visual and systemic health in the US include segregation, income inequality, and persistent poverty. Objective: To investigate the association of vision difficulty, including blindness, in neighborhoods with measures of inequity (Theil H index, Gini index, and persistent poverty). Design, Setting, and Participants: This cross-sectional study used data from the 2012-2016 American Community Survey and 2010 US census tracts as well as Theil H index, Gini index, and persistent poverty measures from PolicyMap. Data analysis was completed in July 2023. Main Outcomes and Measures: The main outcome was the number of census tract residents reporting vision difficulty and blindness (VDB) and the association with the Theil H index, Gini index, or persistent poverty, assessed using logistic regression. Results: In total, 73 198 census tracts were analyzed. For every 0.1-unit increase in Theil H index and Gini index, there was an increased odds of VDB after controlling for census tract-level median age, the percentage of the population that identified as female sex, the percentage of the population that identified as a member of a racial or ethnic minority group, state, and population size (Theil H index: odds ratio [OR], 1.14 [95% CI, 1.14-1.14; P < .001]; Gini index: OR, 1.15 [95% CI, 1.15-1.15; P < .001]). Persistent poverty was associated with an increased odds of VDB after controlling for census tract-level median age, the percentage of the population that identified as female sex, the percentage of the population that identified as a member of a racial or ethnic minority group, state, and population size compared with nonpersistent poverty (OR, 1.36; 95% CI, 1.35-1.36; P < .001). Conclusions and Relevance: In this cross-sectional study, residential measures of inequity through segregation, income inequality, or persistent poverty were associated with a greater number of residents living with VDB. It is essential to understand and address how neighborhood characteristics can impact rates of VDB.

Indexed as

BlindnessAdultAgedCross-Sectional StudiesFemaleHealth InequitiesHumansMaleMiddle AgedNeighborhood CharacteristicsPovertyRisk FactorsSocioeconomic FactorsUnited States

Identifiers

PMID38722650
PMCPMC11082749

What OpenQuestion holds

Textmetadata
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.