A deprivation index to reform the financing model of primary care in Catalonia (Spain)
A deprivation index to reform the financing model of primary care in Catalonia (Spain)
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DOI：
10.1016/j.gaceta.2018.07.015
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发表时间：
2020-01-01
期刊：
影响因子：
1.9
通讯作者：
Garcia-Altes, Anna
中科院分区：
文献类型：
--
作者：
Colls, Cristina;Mias, Montse;Garcia-Altes, Anna
目的：为了建立一个剥夺指数的分配的初级保健团队在加泰罗尼亚（西班牙）有效的城市和农村环境的预算和updatable与更大的频率比指数建立从census variables.Method：从最常见的剥夺指数的审查，变量选择的来源，允许经常更新，并在基层医疗的领土水平。计算所选变量与医疗保健需求和发病率变量之间的相关性。应用主成分分析。最后，MEDEA指数建立的指数和变量的相关性计算的医疗资源的使用和发病率分层的地理dispersion.Results：收入，职业和教育的变量是最高的相关性与医疗需求和发病率。综合社会经济指数（CSI）的范围为-0.01至5.68，平均值为2.60，标准差为0.91。CSI和MEDEA指数之间的相关性为0.89。CSI与城市和农村环境中的医疗保健使用相关，尽管在农村环境中，相关性较低。结论：CSI是建立在允许频繁更新的数据基础上的，并被整合到2017年开始向初级医疗保健分配资源的模型中。(C)2018年SESPAS。由Elsevier Espana出版，S.L.U.
Objective: To build a deprivation index for the assignation of the budgets of the primary healthcare teams in Catalonia (Spain) valid for both urban and rural environments and updatable with greater frequency than indices built from census variables.Method: Starting from a review of the most common deprivation indices, variables were selected from sources that allow frequent updating and are representative at the territorial level of primary care. The correlations were calculated between the chosen variables and variables of need for healthcare and morbidity. principal components analysis was applied. Finally, the correlations of the index built with the MEDEA index and with variables of use of healthcare resources and morbidity was calculated stratifying by geographical dispersion.Results: The variables of income, occupation and education are the ones with the highest correlation with the need for healthcare and morbidity. The composed socioeconomic index (CSI) ranges from -.01 to 5.68, with an average value of 2.60 and a standard deviation of .91. The correlation between the CSI and the MEDEA index is .89. The CSI correlates with use for healthcare in both urban and rural environments, although in rural environments the association is lower.Conclusions: The CSI was built with data that allow frequent updating and was integrated in the model for allocating resources to primary healthcare starting in 2017. (C) 2018 SESPAS. Published by Elsevier Espana, S.L.U.