The impact of demographic factors and insurance type on wait times for elective retina surgery

Identifying socioeconomic disparities in retina care may inform public health interventions and improve access to sight-restoring care. We sought to evaluate for the presence of disparities in wait times for elective retina surgery at an academic medical center and Veteran’s Affairs (VA) hospital using electronic health record (EHR) data from 435 adult patients. The following variables were extracted from the EHR: participants’ age, sex, race, marital status, and health insurance plan. Time to elective retina surgery (TTS) was calculated as the number of days between the documented decision to proceed with surgery and the surgery date. We assessed whether any of the variables were associated with significant differences in TTS via the Mann-Whitney U test or Kruskal-Wallis test. There were no differences in TTS between sexes, Black and White patients, or marital statuses (p = 0.431, 0.364, and 0.441, respectively). Commercial insurance holders and patients with Medicaid had shorter median TTS than patients with VA insurance (p = 0.016 and 0.019, respectively). Other factors historically linked to disparities in medical care were not associated with delays in elective retina surgery. We suggest that efforts designed to address socioeconomic and demographic disparities in ophthalmic care should be targeted at initial access to subspecialty eye care.

Authors

Publication Details

Journal
Journal of Health Equity
Published
2025-12-22
DOI
https://doi.org/10.1080/29944694.2025.2608768
Primary Topic
Retinal and Macular Surgery
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The impact of demographic factors and insurance type on wait times for elective retina surgery

Rajendra S. Apte, Cynthia L. Montana, Ketan Tamirisa, Henok Getahun
Journal of Health Equity
Retinal and Macular Surgery
article

The impact of demographic factors and insurance type on wait times for elective retina surgery

Rajendra S. Apte, Cynthia L. Montana, Ketan Tamirisa, Henok Getahun
article en

Abstract

Identifying socioeconomic disparities in retina care may inform public health interventions and improve access to sight-restoring care. We sought to evaluate for the presence of disparities in wait times for elective retina surgery at an academic medical center and Veteran’s Affairs (VA) hospital using electronic health record (EHR) data from 435 adult patients. The following variables were extracted from the EHR: participants’ age, sex, race, marital status, and health insurance plan. Time to elective retina surgery (TTS) was calculated as the number of days between the documented decision to proceed with surgery and the surgery date. We assessed whether any of the variables were associated with significant differences in TTS via the Mann-Whitney U test or Kruskal-Wallis test. There were no differences in TTS between sexes, Black and White patients, or marital statuses (p = 0.431, 0.364, and 0.441, respectively). Commercial insurance holders and patients with Medicaid had shorter median TTS than patients with VA insurance (p = 0.016 and 0.019, respectively). Other factors historically linked to disparities in medical care were not associated with delays in elective retina surgery. We suggest that efforts designed to address socioeconomic and demographic disparities in ophthalmic care should be targeted at initial access to subspecialty eye care.

Journal of Health EquityVol. 3(1)
Openalex Percentile: Top 30%
Retinal and Macular Surgery
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.