Socioeconomic Disparities and Emergency Department Visits for Diabetic Retinopathy in California.
J Vitreoretin Dis
; 8(3): 293-298, 2024.
Article
em En
| MEDLINE
| ID: mdl-38770079
ABSTRACT
Purpose:
To investigate the association between neighborhood-level socioeconomic factors, quantified by the Distressed Communities Index, and emergency department visits for diabetic retinopathy (DR).Methods:
All patients who presented to the emergency department for DR in California were analyzed using the State Emergency Department Database (2018-2020). Patients were stratified by Distressed Communities Index score and DR severity. Logistic regression was applied to explore the independent correlation between Distressed Communities Index scores and proliferative DR (PDR).Results:
Of 2 725 195 emergency department visits for diabetic patients, Distressed Communities Index data were available for 2 459 577 (90.3%); 39 693 were for DR, including 13 617 (34.3%) for PDR. Hispanics (44.2%) were the largest racial/ethnic group to present for PDR, followed by non-Hispanic Whites (19.6%) and non-Hispanic Blacks (19.3%). A significant association was observed between the Distressed Communities Index and emergency department visits for PDR, with distressed neighborhoods having the highest incidence (adjusted odds ratio [aOR], 1.63; 95% CI, 1.20-2.23; P = .001). Other predictors included Hispanic ethnicity (aOR, 2.21; 95% CI, 1.97-2.48; P < .001) and Black race (aOR, 1.46; 95% CI, 1.28-1.67; P < .001) compared with White race and having Medicaid (aOR, 1.37; 95% CI, 1.13-1.65; P = .001) compared with private insurance.Conclusions:
The Distressed Communities Index identified patients residing in the most distressed neighborhoods as being at the highest risk for presenting to the emergency department for PDR based on 7 socioeconomic factors. Policymakers may consider the Distressed Communities Index as a tool for targeting DR prevention strategies and improving healthcare accessibility.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Idioma:
En
Ano de publicação:
2024
Tipo de documento:
Article