Evidence map›Paper›PMID 37408319›Full record

ArticleOphthalmic epidemiology2024

Recruiting Populations at Higher Risk for Glaucoma and Other Eye Diseases Experiencing Eye Health Disparities.

Saloni Sapru, Simani M Price, Lisa A Hark, Lindsay A Rhodes, Paula Anne Newman-Casey

Registry-linked trialAbstract readMulticenter Study
In one paragraph

Article in Ophthalmic epidemiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04271709 (The Manhattan Vision Screening and Follow-Up Study), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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.

NCT04271709 naactive not recruitingnot on this map

The Manhattan Vision Screening and Follow-Up Study (NYC-SIGHT)

TypeinterventionalSponsorColumbia UniversityRan2019 to 2026Enrolled749ConditionsGlaucoma, Vision Impairment and Blindness, Cataract, Diabetic RetinopathyArmsEnhanced Intervention Using Patient Navigators, Usual Care
3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. 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

5 authors.

Saloni SapruPublic Health Practice, Westat, Inc, Rockville, MD, USA.
Simani M PricePublic Health Practice, Westat, Inc, Rockville, MD, USA.
Lisa A HarkDepartment of Ophthalmology, Columbia University, New York, NY, USA.
Lindsay A RhodesDepartment of Ophthalmology and Visual Sciences, University of Alabama at Birmingham, Birmingham, Alabama, USA.
Paula Anne Newman-CaseyOphthalmology and Visual Sciences, University of Michigan, Ann Arbor, Michigan, USA.

Funding

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
Manhattan Vision Screening and Follow-Up Study in Vulnerable PopulationsU01DP006436 · DP · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI HARK, LISA A. · 2019 to 2023
$3.5M
Coordinating Center for Community-Based Interventions with Vulnerable PopulationsU01DP006435 · DP · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI HARK, LISA A., PRICE, SIMANI · 2019 to 2023
$1.2M
NCCDPHP CDC HHS U01 DP006435NCCDPHP CDC HHS U01 DP006436NCCDPHP CDC HHS U01 DP006441NCCDPHP CDC HHS U01 DP006442NCCDPHP CDC HHS U01 DP006892NEI NIH HHS R01 EY031337
6 · The paper itself

Abstract

purposeWe compared recruitment of participants at high risk for glaucoma and other eye diseases in three community-based studies designed to improve access to eye care in underserved populations in New York City, Alabama, and Michigan.

methodsWe used (1) participant data collected at enrollment (e.g. demographic, medical conditions, healthcare access, and method of hearing about study) and (2) interviews with study staff to assess effective recruitment strategies in enrolling people at high risk for eye disease. We analyzed participant data using descriptive statistics and interview data using content analysis to categorize responses to questions.

resultsIn these community-based studies, all sites recruited greater proportions of populations with increased risk of eye disease compared to their estimates in the US population. High-risk characteristics varied based on the setting (i.e. Federally Qualified Health Centers or affordable housing buildings). Older adults represented 35% to 57%; 43% to 56% identified as Black; 1% to 40% as Hispanic/Latino; 20% to 42% reported a family history of glaucoma; 32% to 61% reported diabetes; and 50% to 67% reported high blood pressure. Social risk factors for under-utilization of eye care due to poverty included that 43% to 70% of participants had high school or lower education; 16% to 40% were employed; and 7% and 31% had no health insurance. From a qualitative perspective, active, personalized, culturally sensitive methods were most effective in recruiting participants.

conclusionImplementing eye disease detection interventions in community-based settings facilitated recruiting individuals at high risk for glaucoma and other eye diseases.

Indexed as

GlaucomaAdolescentAdultAgedAged, 80 and overAlabamaEye DiseasesFemaleHealthcare DisparitiesHealth Services AccessibilityHealth Status DisparitiesHumansMaleMichiganMiddle AgedNew York Citycommunity-based, social determinants of healtheye careeye diseaseglaucomahigh-riskrecruitment

Identifiers

PMID37408319
PMCPMC11922068

What OpenQuestion holds

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Registered trials

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.