加利福尼亚州糖尿病视网膜病变的社会经济差异和急诊就诊率

IF 0.5 Q4 OPHTHALMOLOGY
Oluwasegun A. Akinyemi, Leslie S. Jones MD, Alejandro Ochoa, Luke Nelson, Terhas A. Weldeslase, Salman J. Yousuf
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引用次数: 0

摘要

目的:研究以窘迫社区指数量化的邻里社会经济因素与糖尿病视网膜病变(DR)急诊就诊率之间的关系。方法:对所有在急诊科就诊的糖尿病患者进行调查:利用州急诊科数据库(2018-2020 年)分析了加州所有因 DR 到急诊科就诊的患者。根据窘迫社区指数得分和DR严重程度对患者进行分层。应用 Logistic 回归探讨窘迫社区指数评分与增殖性 DR (PDR) 之间的独立相关性。结果:在 2 725 195 例糖尿病患者的急诊就诊中,有 2 459 577 例(90.3%)获得了窘迫社区指数数据;39 693 例为 DR,其中 13 617 例(34.3%)为 PDR。西班牙裔(44.2%)是出现 PDR 的最大种族/民族群体,其次是非西班牙裔白人(19.6%)和非西班牙裔黑人(19.3%)。窘迫社区指数与 PDR 急诊就诊率之间存在明显关联,窘迫社区的发病率最高(调整后的几率比 [aOR],1.63;95% CI,1.20-2.23;P = .001)。其他预测因素包括西班牙裔(aOR,2.21;95% CI,1.97-2.48;P < .001)和黑人(aOR,1.46;95% CI,1.28-1.67;P < .001)(与白人相比)以及医疗补助(aOR,1.37;95% CI,1.13-1.65;P = .001)(与私人保险相比)。结论根据 7 项社会经济因素,窘迫社区指数确定了居住在最窘迫社区的患者因 PDR 到急诊科就诊的最高风险。政策制定者可以考虑将 "贫困社区指数 "作为一种工具,用于制定有针对性的 DR 预防策略并改善医疗服务的可及性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Socioeconomic Disparities and Emergency Department Visits for Diabetic Retinopathy in California
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.
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CiteScore
1.20
自引率
16.70%
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