Navigating stroke care: Geospatial assessment of regional stroke center accessibility

IF 2 4区 医学 Q3 NEUROSCIENCES
Stephen Halada BS , Kirsten MM Beyer PhD, MPH , Yuhong Zhou PhD , Benjamin W Weston MD, MPH
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引用次数: 0

Abstract

Introduction

Reducing time between stroke onset and hospital intervention is crucial for positive outcomes in stroke patients. While EMS utilization decreases time to intervention, many US regions are not within timely proximity to an advanced-care-capable stroke center (ASC), defined as a comprehensive or thrombectomy-capable center. This study aims to utilize geographic methodology to identify regions in Wisconsin with both high stroke mortality and low physical accessibility to certified stroke centers (SCs), particularly ASCs.

Methods

Geocoded mortality records for stroke death between 2015 and 2020 were accessed from the Wisconsin Department of Health Services. Indirectly age-standardized mortality ratios (SMRs) were estimated continuously across Wisconsin using adaptive spatial filtering and mortality records at the census block group level; the surface was then averaged by census tract for tract level SMRs. Addresses for SC locations within Wisconsin and bordering states were collected, and drive times from Wisconsin census tract centroids to the nearest SC subtypes were estimated. Drive times and mortality ratios were evaluated at the tract level alongside Rural-Urban Commuting Area (RUCA) codes. Spatial error regression modeling was used to determine RUCA classifications with the highest stroke risk independent of accessibility to stroke centers.

Results

Approximately 50%, 68%, and 78% of Wisconsin residents resided within 30, 45, and 60 minutes of an ASC, respectively. Median drive time from census tract centroids to the nearest ASC were highest for rural tracts (M=90 minutes, IQR=68-115) compared to small-town (M=82 minutes, IQR=49-113), micropolitan (M=53 minutes, IQR=43-77), and metropolitan tracts (M=19 minutes, IQR=11-35; p<0.001). Clusters of high stroke SMRs were found in urban centers as well as rural areas irrespective of county declinations. Spatial regression modeling suggested small-town census tracts had the highest SMR irrespective of physical accessibility to care and spatial correlation. In small-town census tracts >45 minutes from the nearest ASC, the median stroke SMR was 1.12 (IQR=0.94-1.40) with 226,000 residents and 150 stroke deaths per year.

Conclusion

Small-town areas are associated with both long drive distance to ASC locations and high stroke mortality. Geographical analyses reveal apparent stroke care deserts and may inform strategic allocation of emergency medicine resources and coverage.
中风护理导航:区域卒中中心可达性的地理空间评估。
导言:缩短卒中发病与医院干预之间的时间对卒中患者的预后至关重要。虽然使用急救医疗服务能缩短干预时间,但美国许多地区并不能及时就近到达具有高级护理能力的卒中中心(ASC),即具有综合或血栓切除能力的中心。本研究旨在利用地理学方法识别威斯康星州中风死亡率高、获得认证的中风中心(SC)(尤其是 ASC)实际可达性低的地区:方法:从威斯康星州卫生服务部获取 2015 年至 2020 年期间中风死亡的地理编码死亡记录。利用自适应空间过滤和人口普查区组级别的死亡率记录,在威斯康星州范围内连续估算出间接年龄标准化死亡率(SMR);然后按人口普查区取平均值,得出普查区级别的 SMR。收集了威斯康星州及邻近各州 SC 所在地的地址,并估算了从威斯康星州普查区中心点到最近的 SC 亚型的行车时间。根据农村-城市通勤区 (RUCA) 代码,在区一级对车程和死亡率进行评估。空间误差回归模型用于确定中风风险最高的 RUCA 分类,而与中风中心的可达性无关:大约 50%、68% 和 78% 的威斯康星州居民分别居住在距离 ASC 30 分钟、45 分钟和 60 分钟车程内。从人口普查区中心点到最近的 ASC 的车程中位数在农村地区最高(M=90 分钟,IQR=68-115),而在小城镇(M=82 分钟,IQR=49-113)、微型城市(M=53 分钟,IQR=43-77)和大都市地区(M=19 分钟,IQR=11-35;距离最近的 ASC 45 分钟车程内,中风 SMR 中位数为 1.12(IQR=0.94-1.40),有 22.6 万居民,每年有 150 例中风死亡:结论:小城镇地区与去往 ASC 的车程远和中风死亡率高有关。地理分析揭示了明显的卒中治疗荒漠,可为急诊医学资源和覆盖范围的战略分配提供参考。
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来源期刊
CiteScore
5.00
自引率
4.00%
发文量
583
审稿时长
62 days
期刊介绍: The Journal of Stroke & Cerebrovascular Diseases publishes original papers on basic and clinical science related to the fields of stroke and cerebrovascular diseases. The Journal also features review articles, controversies, methods and technical notes, selected case reports and other original articles of special nature. Its editorial mission is to focus on prevention and repair of cerebrovascular disease. Clinical papers emphasize medical and surgical aspects of stroke, clinical trials and design, epidemiology, stroke care delivery systems and outcomes, imaging sciences and rehabilitation of stroke. The Journal will be of special interest to specialists involved in caring for patients with cerebrovascular disease, including neurologists, neurosurgeons and cardiologists.
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