修正灾难性医疗保健支出的估计:在印度的应用。

Indrani Gupta, William Joe
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引用次数: 12

摘要

灾难性医疗支出的经验,特别是在印度的情况下,往往是基于消费支出数据,不能充分了解支付能力。使用这类数据可以在估计灾难性支出时产生有利于富人的偏见,从而表明这种支出更多地集中在较富裕的家庭中。为了改进现有的方法,本文提出了一种多维度的方法来理解灾难性支出的发生率。在这里,我们将保健支出信息与其他社会和经济匮乏参数结合起来。通过对印度的发病率和保健进行具有全国代表性的调查,提供了一个实证说明。多维方法的结果与支付能力方法的理论基础一致,并强调了农村地区问题的严重性。所建议的方法是灵活的,在估计灾难性支出的发生率时,可以根据具体情况优先选择脆弱性参数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Refining estimates of catastrophic healthcare expenditure: an application in the Indian context.

Empirics of catastrophic healthcare expenditure, especially in the Indian context, are often based on consumption expenditure data that inadequately informs about the ability to pay. Use of such data can generate a pro-rich bias in the estimation of catastrophic expenditure thereby suggesting greater concentration of such expenditures among richer households. To improve upon the existing approach, this paper suggests a multidimensional approach to comprehend the incidence of catastrophic expenditure. Here, we integrate the information on health expenditure with other social and economic parameters of deprivation. An empirical illustration is provided by using nationally representative survey on morbidity and healthcare in India. The results of the multidimensional approach are consistent with the theoretical underpinnings of the ability-to-pay approach and emphasizes on the severity of the problem in rural areas. The suggested methodology is flexible and allows for context-specific prioritization in selection of parameters of vulnerability while estimating the incidence of catastrophic expenditures.

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