The Association of Structural Inequities and Race With Out-of-Hospital Sudden Death During the COVID-19 Pandemic

Author:

Mountantonakis Stavros E.12ORCID,Epstein Laurence M.12ORCID,Coleman Kristie2ORCID,Martinez Johanna13,Saleh Moussa2ORCID,Kvasnovsky Charlotte14,Brown Rachel-Maria12ORCID,McCulloch Elizabeth3,Kuvin Jeffrey12,Richardson Safiya1ORCID,Makker Parth12ORCID,Lesser Martin5,Mieres Jennifer H.123,Davidson Karina W.1ORCID,Roswell Robert O.123ORCID,

Affiliation:

1. Zucker School of Medicine at Hofstra/Northwell, Northwell Health, Hempstead (S.E.M., L.M.E., J.M., C.K., R.-M.B., J.K., S.R., P.M., J.H.M., K.W.D., R.O.R.).

2. Department of Cardiology, Northwell Health, New York (S.E.M., L.M.E., K.C., M.S., R.-M.B., J.K., P.M., J.H.M., R.O.R.).

3. Center for Equity of Care, Northwell Health, Lake Success (J.M., E.M., J.H.M., R.O.R.).

4. Division of Pediatric Surgery, Cohen’s Children’s Hospital, Northwell Health, New Hyde Park (C.K.).

5. Feinstein Institute for Medical Research, Northwell Health, Manhasset, NY (M.L.).

Abstract

Background: Social influencers of health namely race, ethnicity, and structural inequities are known to affect the incidence of out of hospital sudden death (OHSD). We sought to examine the association between social influencers of health and the incidence of OHSD in the diverse neighborhoods of New York City during the first wave of coronavirus disease 2019 (COVID-19) epidemic. Methods: New York City ZIP stratified data on OHSD were obtained from the Fire Department of New York during the first wave of COVID-19 epidemic (March 1 to April 10, 2019) and the same period in 2020. To assess associates of OHSD, ZIP code-specific sociodemographic characteristics for 8 491 238 New York City residents were obtained via the US Census Bureau’s 2018 American Community Survey and the New York Police Department’s crime statistics. Results: Between March 1 and April 10, 2020, the number of OHSD rose to 4334 from 1112 compared with the year prior. Of the univariate ZIP code level variables evaluated, proportions of Black race, Hispanic/Latino ethnicity, single parent household, unemployed inhabitants, people completing less than high school education, inhabitants with no health insurance, people financially struggling or living in poverty, percent of noncitizens, and population density were associated with increased rates of OHSD within ZIP codes. In multivariable analysis, ZIP codes with higher proportions of inhabitants with less than high school education ( P <0.001) and higher proportions of Black race ( P =0.04) were independent predictors for increases in ZIP code rates of OHSD. Conclusions: Educational attainment and the proportion of Black race in New York City ZIP codes remained independent predictors of increased rates of ZIP code level OHSD during the COVID-19 outbreak even after controlling for 2019 rates. To facilitate health equity, future research should focus on characterizing the impacts of structural inequities while exploring strategies to mitigate their effects.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Physiology (medical),Cardiology and Cardiovascular Medicine

Cited by 19 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3