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Do long-term care services match population needs? A spatial analysis of nursing homes in Chile

机译:长期护理服务符合人口需求吗?智利疗养院的空间分析

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摘要

Chile is experiencing a period of rapid aging, which increases the need of long-term care services in the country. Nursing homes have been the traditional alternative to deal with the increase of elderly population in the country, with services supplied by a mix of for-profit and nonprofit providers. Additionally, population exhibits a high degree of geographical concentration. The study aims to identify the determinants of the geographical location of nursing homes in Chile at municipality level. The analysis takes into account the different location criteria for different types of nursing homes as well as potential spatial effects. The paper uses spatial analysis tools to identify clusters of nursing homes and population characteristics and to estimate the determinants of nursing homes availability and coverage in the country. The analysis–based on spatial global and local tests, and spatial autoregressive models- show the existence of clusters of nursing homes as well as clusters of municipalities according to elderly population, income, poverty, population density, and public health insurance coverage. Residuals from ordinary least squares regressions were spatially autocorrelated, showing the need of using spatial models. Estimations show that availability and coverage of nursing homes are positively related with municipality income, and that for-profit and nonprofit facilities respond differently to different factors. A negative coefficient was found for poverty in nonprofit nursing homes, raising doubts about the effectiveness of giving public subsidies to incentive the installation of facilities in areas with high needs and low income.
机译:智利正处于快速老龄化时期,这增加了对该国长期护理服务的需求。疗养院已成为解决该国老年人口增加的传统选择,其服务由营利性和非营利性提供者共同提供。此外,人口具有高度的地理集中度。该研究旨在确定市级智利疗养院地理位置的决定因素。该分析考虑了针对不同类型的疗养院的不同位置标准以及潜在的空间影响。本文使用空间分析工具来识别养老院的集群和人口特征,并估计该国养老院的可用性和覆盖范围的决定因素。该分析基于空间全球和局部检验以及空间自回归模型,根据老年人口,收入,贫困,人口密度和公共健康保险覆盖范围,显示了养老院和市政当局的集群。来自普通最小二乘回归的残差在空间上是自相关的,这表明需要使用空间模型。估计表明,疗养院的可用性和覆盖范围与市政收入成正相关,营利性和非营利性机构对不同因素的反应不同。非营利性疗养院的贫困系数为负,这引发了人们对提供公共补贴以鼓励在高需求和低收入地区安装设施的有效性的怀疑。

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