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Effects of Neighborhood Characteristics on Length of Inpatient Stay: Findings from the U.S. National Data

机译:邻里特征对住院天数的影响:来自美国国家数据的发现

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摘要

Using a nationally representative U.S. sample, this study examined the extent to which neighborhood characteristics affected length of inpatient stay (LOS) in the United States. Data were obtained from the 2012 Area Health Resource Files. A total of 3,148 U.S. counties were included in the study. Generalized linear models and the geographically weighted regression model were used to examine the extent to which neighborhood characteristics affected LOS and its spatial variation. Exploratory spatial data analysis was also conducted to examine the geographic patterns in LOS. Hospital bed capacity was found to be the strongest predictor of LOS. Counties with a lower poverty rate, a lower uninsured rate, a higher proportion of female residents, a higher proportion of residents living in urban areas, and more diverse racial groups had a longer LOS. Significant spatial clustering pattern of LOS was also found. Findings suggest that social work professionals should be aware of spatial disparity in health care resources and develop ways of providing equitable health care for vulnerable populations in socioeconomically disadvantaged neighborhoods.
机译:本研究使用美国全国代表性的样本,研究了邻里特征在多大程度上影响了美国的住院时间(LOS)。数据来自2012年地区卫生资源档案。该研究总共包括3148个美国县。广义线性模型和地理加权回归模型用于检查邻域特征影响服务水平及其空间变化的程度。还进行了探索性空间数据分析,以检查LOS中的地理模式。发现医院病床容量是LOS的最强预测因子。贫困率较低,无保险率较低,女性居民比例较高,居住在城市地区的居民比例较高以及种族群体更加多样化的县的LOS较长。还发现了LOS的重要空间聚类模式。研究结果表明,社会工作专业人士应意识到卫生保健资源的空间差异,并开发为社会经济处于不利地位的社区中的弱势群体提供公平卫生保健的方法。

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