Determinants of Out-of-Pocket Health Expenditure and Catastrophic Health Spending among Households with Elderly Individuals in Iran: An Application of the Heckman Model to Control Sample Selection

Q4 Medicine
Haniyeh Aliakbar, M. Parsaeian, E. Ahmadnezhad, M. Tajvar, M. Yaseri
{"title":"Determinants of Out-of-Pocket Health Expenditure and Catastrophic Health Spending among Households with Elderly Individuals in Iran: An Application of the Heckman Model to Control Sample Selection","authors":"Haniyeh Aliakbar, M. Parsaeian, E. Ahmadnezhad, M. Tajvar, M. Yaseri","doi":"10.18502/jbe.v8i4.13350","DOIUrl":null,"url":null,"abstract":"Introduction: Universal health coverage is a critical goal for low- and middle-income countries, with equitable access to healthcare services being essential to achieving this objective. With the elderly population requiring greater healthcare services, it is crucial to plan for their healthcare needs. This study aims to evaluate the determinants of out-of-pocket payment (OOP) and catastrophic healthcare expenditure among households with elderly individuals in Iran. \nMethods: This study analyzed the 2018 Household Income-Expenditure Survey in Iran to examine the socio-economic factors affecting OOP (per purchasing power parity International Doller – PPP. Int $) and catastrophic healthcare expenditure in households with elderly members. Using survey probit regression model with Heckman selection, the study identified determinants of OOP and catastrophic healthcare expenditures. A survey probit regression model with Heckman selection has been applied to identify the determinants of out-of-pocket (OOP) and catastrophic healthcare expenditures. The approach allowed for the examination of variables that may have impacted the likelihood of incurring OOP and catastrophic healthcare expenditures, while accounting for potential selection bias. \nResults: Rural households (with difference 60.78 PPP. Int$) and non-owning homes (with difference 98.83 PPP.Int$) had higher OOP than their urban and owning counterparts, respectively. Larger households also had higher OOP, with those with five or more members having the highest. High-income households also had higher OOP. Additionally, smaller households had a lower chance of facing catastrophic healthcare expenses. Lastly, the Mills ratio was negative. \nConclusion: Our study reveals insufficient observed out-of-pocket (OOP) payments for healthcare in Iran to cover the \"needed\" OOP, indicating a possible financial burden on households. This highlights the need to address inequalities in healthcare access and expenditure for households with elderly individuals, particularly in rural areas and larger households. Policymakers should implement targeted interventions to reduce OOP for these vulnerable groups. Future research should include socio-economic factors that affect access to healthcare services.","PeriodicalId":34310,"journal":{"name":"Journal of Biostatistics and Epidemiology","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Biostatistics and Epidemiology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18502/jbe.v8i4.13350","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 1

Abstract

Introduction: Universal health coverage is a critical goal for low- and middle-income countries, with equitable access to healthcare services being essential to achieving this objective. With the elderly population requiring greater healthcare services, it is crucial to plan for their healthcare needs. This study aims to evaluate the determinants of out-of-pocket payment (OOP) and catastrophic healthcare expenditure among households with elderly individuals in Iran. Methods: This study analyzed the 2018 Household Income-Expenditure Survey in Iran to examine the socio-economic factors affecting OOP (per purchasing power parity International Doller – PPP. Int $) and catastrophic healthcare expenditure in households with elderly members. Using survey probit regression model with Heckman selection, the study identified determinants of OOP and catastrophic healthcare expenditures. A survey probit regression model with Heckman selection has been applied to identify the determinants of out-of-pocket (OOP) and catastrophic healthcare expenditures. The approach allowed for the examination of variables that may have impacted the likelihood of incurring OOP and catastrophic healthcare expenditures, while accounting for potential selection bias. Results: Rural households (with difference 60.78 PPP. Int$) and non-owning homes (with difference 98.83 PPP.Int$) had higher OOP than their urban and owning counterparts, respectively. Larger households also had higher OOP, with those with five or more members having the highest. High-income households also had higher OOP. Additionally, smaller households had a lower chance of facing catastrophic healthcare expenses. Lastly, the Mills ratio was negative. Conclusion: Our study reveals insufficient observed out-of-pocket (OOP) payments for healthcare in Iran to cover the "needed" OOP, indicating a possible financial burden on households. This highlights the need to address inequalities in healthcare access and expenditure for households with elderly individuals, particularly in rural areas and larger households. Policymakers should implement targeted interventions to reduce OOP for these vulnerable groups. Future research should include socio-economic factors that affect access to healthcare services.
伊朗老年人家庭自费医疗支出和灾难性医疗支出的决定因素:Heckman模型在控制样本选择中的应用
引言:普及医疗保险是中低收入国家的一个关键目标,公平获得医疗服务对实现这一目标至关重要。随着老年人需要更多的医疗服务,为他们的医疗需求制定计划至关重要。本研究旨在评估伊朗有老年人的家庭自付费用(OOP)和灾难性医疗支出的决定因素。方法:本研究分析了2018年伊朗家庭收入支出调查,以检验影响OOP(按购买力平价国际多勒-购买力平价Int$)和有老年成员家庭灾难性医疗支出的社会经济因素。该研究使用Heckman选择的调查概率回归模型,确定了OOP和灾难性医疗支出的决定因素。采用Heckman选择的调查概率回归模型来确定自付(OOP)和灾难性医疗支出的决定因素。该方法允许检查可能影响OOP和灾难性医疗支出可能性的变量,同时考虑潜在的选择偏差。结果:农村家庭(购买力平价差异60.78)和无房家庭(购买力平价差异98.83)的OOP分别高于城市家庭和有房家庭。较大的家庭也有较高的OOP,其中有五个或五个以上成员的家庭的OOP最高。高收入家庭的OOP也较高。此外,规模较小的家庭面临灾难性医疗费用的几率较低。最后,米尔斯比率为负。结论:我们的研究表明,在伊朗,观察到的医疗保健自付(OOP)支付不足以支付“所需”的OOP,这表明家庭可能会承担经济负担。这突出表明,有必要解决有老年人的家庭,特别是农村地区和大家庭在医疗保健机会和支出方面的不平等问题。政策制定者应实施有针对性的干预措施,以减少这些弱势群体的OOP。未来的研究应包括影响获得医疗服务的社会经济因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
0.80
自引率
0.00%
发文量
26
审稿时长
12 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信