Geographic Analysis of Access to Glaucoma Care by Provider Type and Population Demographics

The unbalanced distribution of glaucoma eye care providers in the United States suggests that some regions may suffer from relatively poor access to care. This disparity is compounded by increased socioeconomic depravity in counties lacking glaucoma eye care providers.

Authors

Institutions

Publication Details

Journal
Ophthalmic Epidemiology
Published
2026-01-29
DOI
https://doi.org/10.1080/09286586.2026.2621416
Primary Topic
Ophthalmology and Visual Impairment Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Geographic Analysis of Access to Glaucoma Care by Provider Type and Population Demographics

Hassaam S. Choudhry, David Mothy, Neha Sarabu, Riya H. Patel et al.
Ophthalmic Epidemiology
Ophthalmology and Visual Impairment Studies
article

Geographic Analysis of Access to Glaucoma Care by Provider Type and Population Demographics

Hassaam S. Choudhry, David Mothy, Neha Sarabu, Riya H. Patel, Albert S Khouri, Rishima Kasi
article en

Abstract

The unbalanced distribution of glaucoma eye care providers in the United States suggests that some regions may suffer from relatively poor access to care. This disparity is compounded by increased socioeconomic depravity in counties lacking glaucoma eye care providers.

Ophthalmic Epidemiology
Rutgers, The State University of New Jersey (US), Cornell University (US), Rutgers New Jersey Medical School (US)
No poverty
Openalex Percentile: Top 74%
Ophthalmology and Visual Impairment Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.