Evidence map›Paper›PMID 36746242›Full record

ArticleOphthalmology. Glaucoma

Associations between Socioeconomic Factors and Visit Adherence among Patients with Glaucoma in the All of Us Research Program.

Kaela Acuff, Arash Delavar, Bharanidharan Radha Saseendrakumar, Jo-Hsuan Wu, Robert N Weinreb, Sally L Baxter

Open access · greenAbstract read
In one paragraph

Article in Ophthalmology. Glaucoma. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
7.0field-weighted citation impact, top 2% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

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  15. Big data to guide glaucoma treatment.Taiwan journal of ophthalmology
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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

6 authors at 1 institution in 1 country.

Kaela AcuffHamilton Glaucoma Center, Division of Ophthalmology Informatics and Data Science, Viterbi Family Department of Ophthalmology and Shiley Eye Institute, University of California San Diego, La Jolla, California; Health Sciences Department of Biomedical Informatics, University of California San Diego, La Jolla, California.
Arash DelavarHamilton Glaucoma Center, Division of Ophthalmology Informatics and Data Science, Viterbi Family Department of Ophthalmology and Shiley Eye Institute, University of California San Diego, La Jolla, California; Health Sciences Department of Biomedical Informatics, University of California San Diego, La Jolla, California.
Bharanidharan Radha SaseendrakumarHamilton Glaucoma Center, Division of Ophthalmology Informatics and Data Science, Viterbi Family Department of Ophthalmology and Shiley Eye Institute, University of California San Diego, La Jolla, California; Health Sciences Department of Biomedical Informatics, University of California San Diego, La Jolla, California.
Jo-Hsuan WuHamilton Glaucoma Center, Division of Ophthalmology Informatics and Data Science, Viterbi Family Department of Ophthalmology and Shiley Eye Institute, University of California San Diego, La Jolla, California; Health Sciences Department of Biomedical Informatics, University of California San Diego, La Jolla, California.
Robert N WeinrebHamilton Glaucoma Center, Division of Ophthalmology Informatics and Data Science, Viterbi Family Department of Ophthalmology and Shiley Eye Institute, University of California San Diego, La Jolla, California.
Sally L BaxterHamilton Glaucoma Center, Division of Ophthalmology Informatics and Data Science, Viterbi Family Department of Ophthalmology and Shiley Eye Institute, University of California San Diego, La Jolla, California; Health Sciences Department of Biomedical Informatics, University of California San Diego, La Jolla, California. Electronic address: S1baxter@health.ucsd.edu.
University of California San Diego · 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
UC San Diego Clinical and Translational Research InstituteUL1TR001442 · NCATS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FIRESTEIN, GARY S, HOGARTH, MICHAEL · 2015 to 2024
$88.3M
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
NCATS NIH HHS UL1 TR001442NEI NIH HHS P30 EY022589NIH 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 OD023196NIMHD NIH HHS R01 MD014850
6 · The paper itself

Abstract

purposeTo identify socioeconomic factors associated with visit adherence among patients with glaucoma in a nationwide cohort.

designCross-sectional study. SUBJECTS: All subjects were participants in the National Institutes of Health All of Us Research Program. This study cohort consists of participants who were diagnosed with glaucoma and who answered the question on the Health Care Access and Utilization Survey regarding whether they have seen an eye care provider in the last 12 months.

methodsDescriptive analyses were conducted based on participant age, gender, race/ethnicity, insurance status, level of education, and income bracket. Multivariable logistic regression adjusting for these factors was used to generate odds ratios (ORs) for the association between socioeconomic factors and visit adherence.

main outcome measureVisit adherence, defined as reporting seeing an eye care provider in the last 12 months.

resultsAmong 4517 patients with glaucoma, 730 (16.3%) indicated that they had not seen or spoken to an eye doctor in the last 12 months. In multivariable models, those with some college education (OR: 1.91; 95% confidence interval [CI]: 1.19-3.04) and those with a college degree or advanced degree (OR: 2.25; 95% CI: 1.39-3.60) and those with the highest annual income of ≥ $200 000 (OR: 1.64; 95% CI: 1.10-2.45) were more likely to have seen an eye doctor in the past year compared with those in the lowest education and income categories, respectively.

conclusionLower income and education levels were significantly associated with lower odds of seeing an eye doctor in the past year among all patients with glaucoma in All of Us. This highlights an important health disparity and may inform subsequent interventions to promote improved adherence to clinical guidelines regarding eye care for glaucoma monitoring and management. FINANCIAL DISCLOSURE(S): Proprietary or commercial disclosure may be found after the references.

Indexed as

GlaucomaPopulation HealthCross-Sectional StudiesHumansIncomeSocioeconomic FactorsGlaucomaHealth disparitiesSocial determinantsSocioeconomic factorsVisit adherence

Identifiers

PMID36746242
PMCPMC10400726
OpenAlexW4319166394

What OpenQuestion holds

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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.