Measuring horizontal inequity in Belgian health care using a Gaussian random effects two part count data model
Measuring horizontal inequity in Belgian health care using a Gaussian random effects two part count data model
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DOI：
10.1002/hec.920
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发表时间：
2004-07-01
期刊：
影响因子：
2.1
通讯作者：
Van Ourti, T
中科院分区：
文献类型：
--
作者：
Van Ourti, T
我们使用一部分和两部分面板计数数据模型以及一部分和两部分汇总计数数据模型来估计比利时医生和医院服务利用率的决定因素。我们的结论是，两部分面板计数数据模型是最合适的，因为它控制了未观察到的异质性，并允许两部分决策过程。然后使用医疗保健利用决定因素的估计来计算横向不平等指数。我们发现，全科医生和医院服务的不平等在一段时间内是稳定的，并且有利于低收入个人，因为总体而言，他们的消费超出了人们根据其需求所预期的水平，尽管医院护理的指数并不显着。横向公平适用于所有年份的专科护理，但从 1999 年起，发现了一些有利于富人的不平等证据（尽管在统计上不显着）。版权所有 (C) 2004 John Wiley Sons, Ltd.
We estimate the determinants of utilisation of physician and hospital services in Belgium using a one- and two-part panel count data model, and a one- and two-part pooled count data model. We conclude that the two-part panel count data model is most appropriate as it controls for unobserved heterogeneity and allows for a two-part decision-making process. The estimates of the determinants of utilisation of health care are then used to calculate indices of horizontal inequity. We find that inequity for general practitioner and hospital services is stable across time and in favour of low-income individuals, in the sense that, overall, they consume more than one would expect on the basis of their need, albeit the indices for hospital care are not significant. Horizontal equity applies to specialist care in all years, but from 1999 onwards, some evidence (although not statistically significant) of pro-rich inequity is found. Copyright (C) 2004 John Wiley Sons, Ltd.