Evidence map›Paper›PMID 33340505›Full record

ArticleAmerican journal of ophthalmology2021

A Service Coverage Analysis of Primary Congenital Glaucoma Care Across the United States.

Daniel M Vu, Justin Stoler, Adam L Rothman, Ta Chen Chang

Open access · greenAbstract read
In one paragraph

Article in American journal of ophthalmology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.7field-weighted citation impact, top 13% 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

8 citing papers in PubMed, 21 citations in OpenAlex.

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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

4 authors at 2 institutions in 1 country.

Daniel M VuBascom Palmer Eye Institute, University of Miami Health System, Miami, Florida, USA. Electronic address: daniel_vu@meei.harvard.edu.
Justin StolerDepartment of Geography and Regional Studies, University of Miami, Coral Gables, Florida, USA; Department of Public Health Sciences, Miller School of Medicine, University of Miami, Miami, Florida, USA.
Adam L RothmanBascom Palmer Eye Institute, University of Miami Health System, Miami, Florida, USA.
Ta Chen ChangBascom Palmer Eye Institute, University of Miami Health System, Miami, Florida, USA.
University of Miami Health System · USUniversity of Miami · US

Funding

Miami Clinical and Translational Science InstituteUL1TR002736 · NCATS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI CARRASQUILLO, OLVEEN, KOBETZ, ERIN N · 2018 to 2022
$23.2M
Shared Equipment ModuleP30EY014801 · NEI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI Victor L Perez · 2004 to 2026
$12.2M
NCATS NIH HHS UL1 TR002736NEI NIH HHS P30 EY014801
6 · The paper itself

Abstract

purposeTo assess the number of infants at risk of delayed primary congenital glaucoma (PCG) evaluation due to long travel times to specialists.

designCross-sectional geospatial service coverage analysis.

methodsAll American Glaucoma Society (AGS) and American Association for Pediatric Ophthalmology and Strabismus (AAPOS) provider locations were geocoded using each organization's member directory. Sixty-minute drive time regions to providers were generated using ArcGIS Pro (Esri). The geographic intersection of AGS and AAPOS service areas was computed because patients typically require visits to both types of specialists. American Community Survey data were then overlaid to estimate the number of infants within and beyond the AGS/AAPOS service areas.

resultsOne thousand twenty-nine AGS and 1,040 AAPOS provider locations were geocoded. The analysis yielded 944,047 infants age 0-1 year (23.6%) who live beyond the AGS/AAPOS service areas. Therefore, approximately 14-94 new PCG cases/year may be at risk of delayed diagnosis as a result of living in a potential service desert. Compared with children living within the AGS/AAPOS service areas, children aged <6 years in these potential service deserts were more likely to live in households earning below the US federal poverty level, lack health insurance, and live in a single-parent home. These communities are disproportionately likely to experience other rural health disparities and are more prevalent across the Great Plains.

conclusionService coverage analysis is a useful tool for identifying underserved regions for PCG referrals and evaluation. These data may assist in targeting screening programs in low access areas for pediatric glaucoma care.

Indexed as

Medically Underserved AreaChildChild, PreschoolCross-Sectional StudiesFemaleGeographic Information SystemsHealth PersonnelHealth Services AccessibilityHumansHydrophthalmosInfantInfant, NewbornMaleOphthalmologistsOphthalmologySocieties, Medical

Identifiers

PMID33340505
PMCPMC10619983
OpenAlexW3111927602

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.