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心脏病死亡率与医院地理可达性之间的关联:美国俄亥俄州县级比较。

The association between heart disease mortality and geographic access to hospitals: county level comparisons in Ohio, USA.

机构信息

Miami University, Sociology and Gerontology, Upham Hall Room 396, Oxford, OH 45056, USA.

出版信息

Soc Sci Med. 2010 Apr;70(8):1211-8. doi: 10.1016/j.socscimed.2009.12.028.

Abstract

Greater distance to health care facilities is associated with poorer health care service utilization, yet little is known about how the 'decay effect' of distance influences the outcome of heart disease that requires frequent medical care. Heart disease has been a leading cause of death in the United States for a last few decades, even with significant improvements in treatment and management. In this study, we examined the association between physical distance to hospitals and heart disease mortality. The geographic information system (GIS) approach was taken to integrate, visualize and analyze data from multiple sources. Hospitals in the state of Ohio were geocoded and zonal statistics were computed to quantify geographical access to hospitals at the level of Ohio's 88 counties. Whereas the results of bivariate analysis showed a significant association between distance to hospitals and heart disease mortality, this relationship was not significant when accounting for socioeconomic and socio-demographic factors. This study demonstrates the usefulness of visualized health data and makes a case for further research on associations between disease outcomes and access to health care services.

摘要

医疗设施距离越远,医疗服务利用率越低,但对于距离的“衰减效应”如何影响需要频繁医疗护理的心脏病结果,人们知之甚少。尽管在治疗和管理方面取得了重大进展,但心脏病在美国仍是过去几十年的主要死因之一。在这项研究中,我们研究了到医院的实际距离与心脏病死亡率之间的关系。我们采用地理信息系统(GIS)方法来整合、可视化和分析来自多个来源的数据。对俄亥俄州的医院进行地理编码,并计算了区域统计数据,以量化俄亥俄州 88 个县的医院地理位置可达性。虽然二元分析的结果表明到医院的距离与心脏病死亡率之间存在显著关联,但在考虑社会经济和社会人口因素时,这种关系并不显著。本研究证明了可视化健康数据的有用性,并呼吁进一步研究疾病结果与获得医疗服务之间的关联。

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