健康支出致贫发生率数据集
赞比亚疟疾患者家庭自费支出、灾难性卫生支出及因病致贫的全国代表性横断面调查数据集。

基本信息
资源简介
健康支出致贫发生率数据集
【数据集背景】
本数据集源站标题为《Incidence of impoverishing from health spending.》。配套论文《Determining household out of pocket payments, incidence of catastrophic expenditures and impoverishment among patients with malaria in Zambia’s path towards Universal Health Coverage》发表于 PLOS ONE(2024),DOI:10.1371/journal.pone.0312906。源站首次发布:2024-12-10。
【数据内容】
源站原始描述:Background The World Health Organisation (WHO) estimates that about 3.2 billion people which is nearly half of the world’s population are at risk of malaria. Annually about 216 million cases and 445,000 deaths of malaria occur globally. Africa accounted for 90% and 91% of the malaria cases and deaths respectively. Zambia has earmarked malaria elimination on its path to Universal Health Coverage (UHC). This paper aims to determine the incidence of Out-of-Pocket Payments (OOP) and Catastrophic Hea…
【数据结构与技术规格】
文件数 1 个,合计 5.63 KB。Table 5.xls:application/vnd.ms-excel,5.63 KB。数据集 DOI:10.1371/journal.pone.0312906.t005。
【主题与分类】
源站学科分类:Medicine、Biotechnology、Cancer、Science Policy、Infectious Diseases、Computational Biology。主题标签:world &# 8217、treated bed nets、sustainable development goals、nationally representative cross、logistic regression model、enable targeting intervention、categorical dependent variable、5 km radius、world health organisation、universal health coverage。
【适用方向】
结构化表格数据可直接用于统计建模、特征工程与队列分析。
【获取与许可】
源站页面:https://plos.figshare.com/articles/dataset/Incidence_of_impoverishing_from_health_spending_/28002613
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Banda, Patrick; Masiye, Felix; Kaonga, Oliver; Bump, Jesse; Berman, Peter (2024). Incidence of impoverishing from health spending.. PLOS ONE. Dataset
下载信息
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使用方式
数据集获取(Figshare)
- 源站标题:Incidence of impoverishing from health spending.
- DOI:10.1371/journal.pone.0312906.t005
- 发布日期:2024-12-10
- 文件数:1 个
- 文件总体积:5.63 KB
- 源站页面:https://plos.figshare.com/articles/dataset/Incidence_of_impoverishing_from_health_spending_/28002613
命令行下载
curl -L -o "Table 5.xls" "https://ndownloader.figshare.com/files/51087595"
文件清单
Table 5.xls(5.63 KB)
文件总体积 5.63 KB(源站 API 实测)。
数据说明
Background
The World Health Organisation (WHO) estimates that about 3.2 billion people which is nearly half of the world’s population are at risk of malaria. Annually about 216 million cases and 445,000 deaths of malaria occur globally. Africa accounted for 90% and 91% of the malaria cases and deaths respectively. Zambia has earmarked malaria elimination on its path to Universal Health Coverage (UHC). This paper aims to determine the incidence of Out-of-Pocket Payments (OOP) and Catastrophic Health Expenditures (CHE) and impoverishment among households with malaria patients in Zambia. The paper focusses on the incidence of OOP and impoverishment for malaria in a setting without user fees for accessing primary malaria health care services and virtually no user fees at all levels of care if referred through the referral system. The results of this study will also serve as a baseline for tracking Zambia’s path towards achieving malaria financial access on its path towards UHC among patient with malaria.
Methods
The study uses a nationally representative cross-sectional survey of households in both rural and urban areas of Zambia. The study employed probability sampling procedures. A two-stage stratified cluster sample design was used. We analyse a total of 2,005 households that had at least one member suffering from malaria with a recall period of four weeks for out-patients and six months for the in-patient respectively. A logistic regression model was estimated with a Categorical Dependent variable being CHE (CHE = = 1, or otherwise = = 0). A household is considered impoverished if it fell below the poverty line due to OOP. All data was analyzed using Stata version 2013.
Results and discussion
The results show that although the country has a free malaria policy at primary care level and virtually at all levels if referred through the health system process, households are still incurring costs in accessing health care services. Incidence of CHE and impoverishment were reflected at all levels. In terms of CHE, the poorest contributed almost 30% while the wealthier quintile contributed about 10%. Similarly, impoverishment effects of OOPs are more pronounced in the p
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.1371/journal.pone.0312906.t005(source: https://plos.figshare.com/articles/dataset/Incidence_of_impoverishing_from_health_spending_/28002613)。
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