Evidence map›Paper›PMID 37910081›Full record

ArticleTranslational vision science & technology2023

Predictors of Clinic Attendance After Community-Based Vision Screening.

Lauren M Wasser, Julie Cassidy, Katherine Cecconi, Dana McGinnis-Thomas, Anfisa Ayalon, Haniah A Zaheer, Evan L Waxman, José-Alain Sahel, Andrew M Williams

Abstract 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 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.

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

4 citing papers in PubMed.

  1. Trial
  2. Article
  3. Access to Myopia Care in the United States-A Narrative Review.Investigative ophthalmology & visual science · 2025
    Review
  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

9 authors.

Lauren M WasserDepartment of Ophthalmology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Julie CassidyDepartment of Ophthalmology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Katherine CecconiDepartment of Ophthalmology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Dana McGinnis-ThomasDepartment of Ophthalmology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Anfisa AyalonDepartment of Ophthalmology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Haniah A ZaheerDepartment of Ophthalmology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Evan L WaxmanDepartment of Ophthalmology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
José-Alain SahelDepartment of Ophthalmology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Andrew M WilliamsDepartment of Ophthalmology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.

Funding

Virus Production and Manipulation of Protein/Gene Expression ModuleP30EY008098 · NEI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Ethan A Rossi · 1989 to 2026
$17.8M
NEI NIH HHS P30 EY008098
6 · The paper itself

Abstract

Purpose: The purpose of this study was to analyze appointment attendance rates and patient characteristics associated with follow-up adherence after referral from a community vision screening event. Methods: A retrospective chart review of patients who attended a 2021 or 2022 community vision screening event and were referred to the university clinic for further care. Appointments were offered without charge and scheduled at the event. Associations between patients' clinical and demographic characteristics and appointment attendance were assessed by binary logistical regression. Results: A total of 935 patients attended the annual community vision screening events held in 2021 and 2022. Of these patients, 117 (13%) were referred to the clinic for follow-up, of whom 56 (48%) attended their scheduled follow-up appointment. The most common reasons for clinic referral included cataract (12, 10%), diabetic retinopathy (11, 9%), glaucoma (9, 8%), and challenging refractive error (9, 8%). Health insurance and male gender were predictors of follow-up (odds ratio [OR] = 3.08, 95% confidence interval [CI] = 1.19-7.99, P = 0.021 and OR = 2.72, 95% CI = 1.10-6.61, P = 0.035, respectively). Conclusions: Half of the referred patients followed up after vision screening. Providing appointment scheduling at the point of care and offering follow-up care at no cost may help to promote clinic follow-up, but further assessment of barriers to regular eye care is warranted. Health insurance most strongly predicted successful clinic attendance. Translational Relevance: This study emphasizes the enduring impact of health insurance status as a barrier to accessing comprehensive vision care.

Indexed as

CataractDiabetic RetinopathyGlaucomaVision ScreeningHumansMaleRetrospective Studies

Identifiers

PMID37910081
PMCPMC10627300

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Registered trials

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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.