Evidence map›Paper›PMID 38224327›Full record

ArticleTranslational vision science & technology2024

Capabilities and Limitations of Student-Led Free Vision Screening Programs in the United States.

Nirupama Devanathan, Melanie Scheive, Baraa S Nawash, Amrish Selvam, Alec Murphy, McKenna Morrow, Shruti Anant, Nickolas Chen, Elizabeth A Martin, Jessica S Kruger and 2 more

Open access · goldAbstract read
In one paragraph

Article in Translational vision science & technology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.2field-weighted citation impact, top 15% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

12 authors at 6 institutions in 1 country.

Nirupama DevanathanDepartment of Ophthalmology, Eugene and Marilyn Glick Eye Institute, Indiana University School of Medicine, Indianapolis, IN, USA.
Melanie ScheiveDepartment of Ophthalmology, Eugene and Marilyn Glick Eye Institute, Indiana University School of Medicine, Indianapolis, IN, USA.
Baraa S NawashUniversity of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Amrish SelvamUniversity of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Alec MurphyUniversity of Cincinnati College of Medicine, Cincinnati, OH, USA.
McKenna MorrowSchool of Medicine, Medical College of Wisconsin, Milwaukee, WI, USA.
Shruti AnantWilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Nickolas ChenSchool of Medicine, Medical College of Wisconsin, Milwaukee, WI, USA.
Elizabeth A MartinDepartment of Ophthalmology, Eugene and Marilyn Glick Eye Institute, Indiana University School of Medicine, Indianapolis, IN, USA.
Jessica S KrugerDepartment of Community Health and Health Behavior, University at Buffalo School of Public Health and Health Professions, Buffalo, NY, USA.
Chi-Wah Rudy YungDepartment of Ophthalmology, Eugene and Marilyn Glick Eye Institute, Indiana University School of Medicine, Indianapolis, IN, USA.
Thomas V JohnsonWilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Indiana University School of MedicineJohns Hopkins University · USMedical College of Wisconsin · USUniversity of Pittsburgh · USUniversity at Buffalo, State University of New York · USUniversity of Cincinnati Medical Center · US

Funding

Transplantation of human stem cell-derived neurons for retinal ganglion cell replacement and optic nerve regeneration.K08EY031801 · NEI · JOHNS HOPKINS UNIVERSITY · PI JOHNSON, THOMAS VINCENT · 2020 to 2024
$945k
NEI NIH HHS K08 EY031801
6 · The paper itself

Abstract

Purpose: The Consortium of Student-Led Eye Clinics (CSLEC), founded in 2021, administered a comprehensive survey to document the types of services, most common diagnoses, and follow-up care protocols offered by student-led free vision screening programs (SLFVSP) in the United States. Methods: An 81-question institutional review board (IRB)-approved survey was administered to student-led vision screening eye clinics from October 1, 2022 to February 24, 2023. Results: Sixteen SLFVSPs were included in the final analysis, of which 81% (n = 13) conducted variations of fundoscopic examinations and 75% (n = 12) measured intraocular pressure. Cataracts and diabetic retinopathy were reported as the most frequent diagnoses by the majority of SLFVSPs (n = 9, 56%); non-mobile SLFVSPs more commonly reported cataract as a frequent diagnosis (P < 0.05). Most patients screened at participating programs were uninsured or met federal poverty guidelines. Prescription glasses were offered by 56% of the programs (n = 9). SLFVSPs that directly scheduled follow-up appointments reported higher attendance rates (66.5%) than those that only sent referrals (20%). Transportation was the most cited barrier for follow-up appointment attendance. Conclusions: SLFVSPs, one community vision screening initiative subtype, vary significantly in scope and capabilities of identifying vision threatening disease. The follow-up infrastructure is not uniformly robust and represents a key target for improving care delivery to at-risk populations. Translational Relevance: The CSLEC aims to develop a consensus-based standardization for the scope of screening services, offer guidelines for diagnostic criteria, promote real-time data stewardship, and identify means to improve follow-up care mechanisms in member communities.

Indexed as

CataractDiabetic RetinopathyVision ScreeningHumansIntraocular PressurePhysical ExaminationUnited States

Identifiers

PMID38224327
PMCPMC10793386
OpenAlexW4390876659

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.