A Retrospective Study of Disparities in an Academic Ophthalmic Emergency Department.

Colleen Szypko, Nathan Hall, Thong Ta, Matthew F Gardiner, Alice C Lorch
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Abstract

Purpose  Emergency medicine is a common access point to health care; disparities in this care by demographic characteristics, including race and ethnicity, may affect outcomes. The Massachusetts Eye and Ear (MEE) Emergency Department (ED) is a subspecialty emergency department; data from this site can be utilized to better understand social determinants of quality ophthalmic care. Design  This is a retrospective cross sectional cohort study in the MEE ED examining patient visits from June 1, 2016 to June 30, 2019. Methods  Using the electronic medical record system, all unique visits were identified between June 1, 2016 and June 30, 2019 (inclusive); patient demographics (sex, race, ethnicity [Hispanic vs. non-Hispanic], primary care provider [PCP] status, insurance type, zip code, primary language), date of visit, triage category and outcomes (final diagnosis, visit duration, and next visit at MEE within 3 months of the ED visit) were collected. Kaplan-Meier plots were used to visualize likelihood of follow-up visit to MEE for urgent patients based on demographics. Multivariate linear regression was used to examine factors affecting visit durations, as stratified by urgency, and Cox proportional hazards regression was used to establish hazard ratios for next visit to MEE. Results  Of the 46,248 ophthalmology ED initial visits, only triage status, season of visit, out-of-state residency, Medicare coverage, and Medicaid coverage led to statistically significant differences in visit durations for urgent visits compared with the respective reference groups. Similar trends persisted within the non-urgent visit cohort for visit durations. Residency, insurance coverage, season of visit, race, PCP status, and sex were identified as statistically significant predictors of the likelihood of a follow-up visit. Conclusion  Data from an ophthalmic emergency department suggest that demographic factors do impact patient visit duration and time to follow-up visit. These findings suggest a continued need for attention to social determinants of health and equitable care of patients within ophthalmology.

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眼科急诊科差异的回顾性研究。
急诊医学是医疗保健的一个常见接入点;人口统计学特征(包括种族和民族)在这方面的差异可能会影响结果。马萨诸塞州眼耳(MEE)急诊科(ED)是一个亚专科急诊科;该网站的数据可用于更好地了解高质量眼科护理的社会决定因素。这是一项回顾性横断面队列研究,研究了2016年6月1日至2019年6月30日期间就诊的患者。方法采用电子病历系统,识别2016年6月1日至2019年6月30日(含)的所有非重复就诊;收集患者人口统计数据(性别、种族、民族[西班牙裔与非西班牙裔]、初级保健提供者[PCP]状况、保险类型、邮政编码、主要语言)、就诊日期、分类分类和结果(最终诊断、就诊时间、急诊就诊后3个月内在MEE的下一次就诊)。Kaplan-Meier图用于可视化基于人口统计学的急诊患者对MEE随访的可能性。采用多元线性回归检验影响就诊时间的因素,按紧急程度分层,并采用Cox比例风险回归建立MEE下次就诊的风险比。结果在46,248例眼科急诊科初次就诊中,只有分诊状态、就诊季节、州外住院医师、医疗保险覆盖范围和医疗补助覆盖范围导致急诊就诊时间与各自参照组相比有统计学显著差异。在非紧急访问队列中,访问时间也存在类似趋势。居住地、保险范围、就诊季节、种族、PCP状态和性别被确定为随访可能性的统计显著预测因子。结论来自眼科急诊科的数据表明,人口因素确实影响患者的就诊时间和随访时间。这些发现表明,继续需要关注健康的社会决定因素和眼科患者的公平护理。
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Erratum: The Big Data Gap: Asymmetric Information in the Ophthalmology Residency Match Process and the Argument for Transparent Residency Data. Self-Reported Perceptions of Preparedness among Incoming Ophthalmology Residents. The Matthew Effect: Prevalence of Doctor and Physician Parents among Ophthalmology Applicants. Gender Representation on North American Ophthalmology Societies' Governance Boards. The Big Data Gap: Asymmetric Information in the Ophthalmology Residency Match Process and the Argument for Transparent Residency Data.
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