医学
冲程(发动机)
社会脆弱性
四分位数
危险系数
比例危险模型
地理空间分析
生态学研究
急诊医学
脆弱性(计算)
紧急医疗服务
人口学
医疗急救
地图学
内科学
置信区间
环境卫生
人口
心理干预
地理
社会学
工程类
精神科
机械工程
计算机科学
计算机安全
作者
Amar Dhand,Mathew J. Reeves,Yi Mu,Bernard Rosner,Zachary R. Rothfeld-Wehrwein,Amber Nieves,Vrushali Dhongade,Molly P. Jarman,Regan W. Bergmark,Robert Semco,Jeremy Ader,Brandon D. L. Marshall,William C. Goedel,Gregg C. Fonarow,Eric E. Smith,Jeffrey L. Saver,Lee H. Schwamm,Kevin N. Sheth
出处
期刊:Stroke
[Lippincott Williams & Wilkins]
日期:2024-05-24
卷期号:55 (6): 1507-1516
被引量:14
标识
DOI:10.1161/strokeaha.123.045521
摘要
Delays in hospital presentation limit access to acute stroke treatments. While prior research has focused on patient-level factors, broader ecological and social determinants have not been well studied. We aimed to create a geospatial map of prehospital delay and examine the role of community-level social vulnerability. We studied patients with ischemic stroke who arrived by emergency medical services in 2015 to 2017 from the American Heart Association Get With The Guidelines-Stroke registry. The primary outcome was time to hospital arrival after stroke (in minutes), beginning at last known well in most cases. Using Geographic Information System mapping, we displayed the geography of delay. We then used Cox proportional hazard models to study the relationship between community-level factors and arrival time (adjusted hazard ratios [aHR] <1.0 indicate delay). The primary exposure was the social vulnerability index (SVI), a metric of social vulnerability for every ZIP Code Tabulation Area ranging from 0.0 to 1.0. Of 750 336 patients, 149 145 met inclusion criteria. The mean age was 73 years, and 51% were female. The median time to hospital arrival was 140 minutes (Q1: 60 minutes, Q3: 458 minutes). The geospatial map revealed that many zones of delay overlapped with socially vulnerable areas (https://harvard-cga.maps.arcgis.com/apps/webappviewer/index.html?id=08f6e885c71b457f83cefc71013bcaa7). Cox models (aHR, 95% CI) confirmed that higher SVI, including quartiles 3 (aHR, 0.96 [95% CI, 0.93-0.98]) and 4 (aHR, 0.93 [95% CI, 0.91-0.95]), was associated with delay. Patients from SVI quartile 4 neighborhoods arrived 15.6 minutes [15-16.2] slower than patients from SVI quartile 1. Specific SVI themes associated with delay were a community's socioeconomic status (aHR, 0.80 [95% CI, 0.74-0.85]) and housing type and transportation (aHR, 0.89 [95% CI, 0.84-0.94]). This map of acute stroke presentation times shows areas with a high incidence of delay. Increased social vulnerability characterizes these areas. Such places should be systematically targeted to improve population-level stroke presentation times.
科研通智能强力驱动
Strongly Powered by AbleSci AI