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首页> 美国卫生研究院文献>Journal of Environmental and Public Health >The Utility of Rural and Underserved Designations in Geospatial Assessments of Distance Traveled to Healthcare Services: Implications for Public Health Research and Practice
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The Utility of Rural and Underserved Designations in Geospatial Assessments of Distance Traveled to Healthcare Services: Implications for Public Health Research and Practice

机译：农村和服务欠缺的标识在前往医疗服务的距离地理空间评估中的效用：对公共卫生研究与实践的启示

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摘要

Health disparities research in rural populations is based on several common taxonomies identified by geography and population density. However, little is known about the implications of different rurality definitions on public health outcomes. To help illuminate the meaning of different rural designations often used in research, service delivery, or policy reports, this study will (1) review the different definitions of rurality and their purposes; (2) identify the overlap of various rural designations in an eight-county Brazos Valley region in Central Texas; (3) describe participant characteristic profiles based on distances traveled to obtain healthcare services; and (4) examine common profile characteristics associated with each designation. Data were analyzed from a random sample from 1,958 Texas adults participating in a community assessment. K-means cluster analysis was used to identify natural groupings of individuals based on distance traveled to obtain three healthcare services: medical care, dental care, and prescription medication pick-up. Significant variation in cluster representation and resident characteristics was observed by rural designation. Given widely used taxonomies for designating areas as rural (or provider shortage) in health-related research, this study highlights differences that could influence research results and subsequent program and policy development based on rural designation.
机译：农村人口健康差异的研究基于地理和人口密度确定的几种常见分类法。但是，关于不同农村定义对公共卫生结果的影响知之甚少。为了帮助阐明经常在研究，服务提供或政策报告中使用的不同农村名称的含义，本研究将（1）回顾农村的不同定义及其目的； （2）确定德克萨斯州中部八县布拉索斯山谷地区各种乡村名称的重叠； （3）根据获得医疗保健服务的旅行距离描述参与者特征档案； （4）检查与每个名称相关的共同的轮廓特征。从参与社区评估的1958名得克萨斯州成年人的随机样本中分析数据。 K-means聚类分析用于根据旅行距离来确定个人的自然分组，以获得三种医疗服务：医疗，牙科护理和处方药领取。通过农村指定，观察到集群代表和居民特征的显着变化。鉴于在健康相关研究中广泛使用的分类法将区域指定为农村（或提供者短缺），本研究着重指出了可能影响研究结果以及基于农村指定的后续计划和政策制定的差异。

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