Predictors of catastrophic out-of-pocket health expenditure in rural Egypt: application of the heteroskedastic probit model.

Q1 Nursing
Suzan Abdel-Rahman, Farouk Shoaeb, Mohamed Naguib Abdel Fattah, Mohamed R Abonazel
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引用次数: 3

Abstract

Background: Out-of-pocket (OOP) health expenditure is a pressing issue in Egypt and far exceeds half of Egypt's total health spending, threatening the economic viability, and long-term sustainability of Egyptian households. Targeting households at risk of catastrophic health payments based on their characteristics is an obvious pathway to mitigate the impoverishing impacts of OOP health payments on livelihoods. This study was conducted to identify the risk factors of incurring catastrophic health payments hoping to formulate appropriate policies to protect households against financial catastrophes.

Methods: Using data derived from the Egyptian Household Income, Expenditure, and Consumption Survey (HIECS), a multiplicative heteroskedastic probit model is applied to account for heteroskedasticity and avoid biased and inconsistent estimates.

Results: Accounting for heteroskedasticity induces notable differences in marginal effects and demonstrates that the impact of some core variables is underestimated and insignificant and in the opposite direction in the homoscedastic probit model. Moreover, our results demonstrate the principal factors besides health status and socioeconomic characteristics responsible for incurring catastrophic health expenditure, such as the use of health services provided by the private sector, which has a dramatic effect on encountering catastrophic health payments.

Conclusions: The marked differences between estimates of probit and heteroskedastic probit models emphasize the importance of investigating homoscedasticity assumption to avoid policies based on incorrect evidence. Many policies can be built upon our findings, such as enhancing the role of social health insurances in rural areas, expanding health coverage for poor households and chronically ill household heads, and providing adequate financial coverage for households with a high proportion of elderly, sick members, and females. Also, there is an urgent need to limit OOP health payments absorbed by private sector to achieve an acceptable level of fair financing.

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埃及农村灾难性自付医疗支出的预测因素:异方差概率模型的应用。
背景:自付卫生支出在埃及是一个紧迫的问题,远远超过埃及卫生总支出的一半,威胁到埃及家庭的经济活力和长期可持续性。根据家庭的特点,针对面临灾难性卫生支付风险的家庭,是减轻面向对象卫生支付对生计造成的贫困影响的明显途径。本研究旨在找出造成灾难性医疗支付的风险因素,以期制定适当的政策,保护家庭免受金融灾难的影响。方法:使用来自埃及家庭收入、支出和消费调查(HIECS)的数据,采用乘法异方差概率模型来解释异方差,避免有偏和不一致的估计。结果:考虑异方差后,边际效应存在显著差异,表明在均方差probit模型中,一些核心变量的影响被低估且不显著,且方向相反。此外,我们的研究结果表明,除了健康状况和社会经济特征之外,造成灾难性卫生支出的主要因素,如私营部门提供的卫生服务的使用,对遭遇灾难性卫生支付有巨大影响。结论:概率估计与异方差概率模型之间的显著差异强调了调查同方差假设以避免基于错误证据的政策的重要性。许多政策可以建立在我们的研究结果的基础上,例如加强农村地区社会健康保险的作用,扩大对贫困家庭和长期患病的户主的健康覆盖,以及为老年人、患病成员和女性比例高的家庭提供足够的财务覆盖。此外,迫切需要限制私营部门吸收的OOP保健付款,以达到可接受的公平筹资水平。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
6.50
自引率
0.00%
发文量
25
审稿时长
10 weeks
期刊介绍: The journal accepts papers of original research which are not being considered for publication elsewhere and which contribute to the advancement of knowledge of Public Health at large
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