Evidence map›Paper›PMID 36928128›Full record

ArticleTranslational vision science & technology2023

Racial Disparities in Barriers to Care for Patients With Diabetic Retinopathy in a Nationwide Cohort.

Bonnie B Huang, Bharanidharan Radha Saseendrakumar, Arash Delavar, Sally L Baxter

Open access · goldAbstract read
In one paragraph

Article in Translational vision science & technology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
6.4field-weighted citation impact, top 3% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Pooled it
  2. Social Needs and Type 2 Diabetes in Latinos: An Integrative Review.Journal of racial and ethnic health disparities · 2026
    Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Social Determinants of Health in Idiopathic Intracranial Hypertension.Journal of neuro-ophthalmology : the official journal of the North American Neuro-Ophthalmology Society · 2024
    Article
  11. Article
  12. Article
  13. Article
  14. Article
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

4 authors at 2 institutions in 1 country.

Bonnie B HuangDivision of Ophthalmology Informatics and Data Science, Viterbi Family Department of Ophthalmology and Shiley Eye Institute, University of California San Diego, La Jolla, CA, USA.
Bharanidharan Radha SaseendrakumarDivision of Ophthalmology Informatics and Data Science, Viterbi Family Department of Ophthalmology and Shiley Eye Institute, University of California San Diego, La Jolla, CA, USA.
Arash DelavarDivision of Ophthalmology Informatics and Data Science, Viterbi Family Department of Ophthalmology and Shiley Eye Institute, University of California San Diego, La Jolla, CA, USA.
Sally L BaxterDivision of Ophthalmology Informatics and Data Science, Viterbi Family Department of Ophthalmology and Shiley Eye Institute, University of California San Diego, La Jolla, CA, USA.
University of California San Diego · USNorthwestern University · US

Funding

Technology to Empower Changes in Health (TECH) Network Participant Technologies CenterU24OD023176 · OD · SCRIPPS RESEARCH INSTITUTE, THE · PI TOPOL, ERIC JEFFREY · 2016 to 2022
$204.7M
Precision Medicine Initiative Cohort Program BiobankU24OD023121 · OD · MAYO CLINIC ROCHESTER · PI CEKANOVA, MARIA, CICEK, MINE · 2016 to 2024
$185.5M
Enhancing All of Us Data Resources for Nutrition Precision Health: the All of Us Data and Research CenterU2COD023196 · OD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GLAZER, DAVID, HARRIS, PAUL A. · 2016 to 2022
$143.7M
Adaptive Platform for Personalized EngagementU24OD023163 · OD · VIGNET, INC. · PI JAIN, PRADUMAN · 2017 to 2020
$102.6M
University of Arizona-Banner Health All of Us Research Program OT2OD026549 · OD · UNIVERSITY OF ARIZONA · PI MORENO, FRANCISCO A, REIMAN, ERIC MICHAEL · 2018 to 2023
$78.9M
California Precision Medicine Research Program ConsortiumOT2OD026552 · OD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ANTON-CULVER, HODA A, OHNO-MACHADO, LUCILA · 2018 to 2023
$73.4M
All of Us PennsylvaniaOT2OD026554 · OD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E, VISWESWARAN, SHYAM · 2018 to 2023
$72.1M
New York City Consortium for Precision MedicineOT2OD026556 · OD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BIER, LOUISE E, GHARAVI, ALI G · 2018 to 2023
$67.3M
SouthEast Enrollment Center (SEEC) OT2OD026551 · OD · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI CARRASQUILLO, OLVEEN, COLON, VIVIAN · 2018 to 2023
$62.8M
Southern All of Us NetworkOT2OD026548 · OD · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI FOUAD, MONA N., KORF, BRUCE R · 2018 to 2023
$60.5M
Illinois Precision Medicine Consortium OT2OD026557 · OD · NORTHWESTERN UNIVERSITY AT CHICAGO · PI AHSAN, HABIBUL, ARGOS, MARIA · 2018 to 2023
$60.5M
The New England Precision Medicine Consortium of the All of Us Research ProgramOT2OD026553 · OD · MASSACHUSETTS GENERAL HOSPITAL · PI CLARK, CHERYL RENEE, KARLSON, ELIZABETH W · 2018 to 2023
$58.8M
NEI NIH HHS P30 EY022589NIDDK NIH HHS T35 DK126628NIH HHS DP5 OD029610NIH HHS OT2 OD023205NIH HHS OT2 OD023206NIH HHS OT2 OD025276NIH HHS OT2 OD025277NIH HHS OT2 OD025315NIH HHS OT2 OD025337NIH HHS OT2 OD026548NIH HHS OT2 OD026549NIH HHS OT2 OD026550NIH HHS OT2 OD026551NIH HHS OT2 OD026552NIH HHS OT2 OD026553NIH HHS OT2 OD026554NIH HHS OT2 OD026555NIH HHS OT2 OD026556NIH HHS OT2 OD026557NIH HHS U24 OD023121NIH HHS U24 OD023163NIH HHS U24 OD023176NIH HHS U2C OD023196
6 · The paper itself

Abstract

Purpose: To ascertain specific barriers of care among patients with diabetic retinopathy (DR) from different racial/ethnic groups. Methods: In this cross-sectional study, we included adult participants in the National Institutes of Health All of Us Research Program with DR who answered questions in the Healthcare Access & Utilization survey and Social Determinants of Health (SDoH) survey. Logistic regression was used to study the association between barriers to care and race/ethnicity. Results: Our cohort included 885 DR patients who answered the Healthcare Access & Utilization survey and 385 DR patients who responded to the SDoH survey. After adjusting for confounders, Hispanic individuals were more likely than non-Hispanic White individuals to report delaying getting medical care due to not being able to get child care (odds ratio [OR] = 6.57 [95% confidence interval {CI}, 1.67-27.8]). Furthermore, compared to non-Hispanic White individuals, non-Hispanic Black individuals were significantly more likely to report being treated with less respect (OR = 2.62 [95% CI, 1.15-5.80]), treated with less courtesy (OR = 2.51 [95% CI, 1.01-5.92]), and receive poorer service than other people (OR = 2.85 [95% CI, 1.25-6.34]) when they go to a doctor's office or other healthcare provider. Conclusions: We found that Hispanic and non-Hispanic Black individuals with DR reported greater delays/barriers to care compared to non-Hispanic White individuals even after controlling for individualized socioeconomic factors. Translational Relevance: This study highlights the importance of taking steps to promote health equity, such as increasing access to child care resources and reducing implicit bias among eye care providers, to increase access to care and prevent vision loss from DR.

Indexed as

Diabetic RetinopathyHealthcare DisparitiesRacial GroupsAdultAgedBlack or African AmericanCohort StudiesCross-Sectional StudiesFemaleHealth Care SurveysHispanic or LatinoHumansMaleMiddle AgedSocial Determinants of HealthUnited States

Identifiers

PMID36928128
PMCPMC10029769
OpenAlexW4327574136

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.