Suppr超能文献

2002 - 2014年墨西哥灾难性卫生支出及其决定因素

Gasto catastrófico en salud en México y sus factores determinantes, 2002-2014.

作者信息

Rodríguez-Aguilar Román, Rivera-Peña Gustavo

机构信息

Facultad de Ingeniería, Universidad Anáhuac México. Estado de México, México.

Facultad de Economía y Negocios, Universidad Anáhuac México. Estado de México, México.

出版信息

Gac Med Mex. 2017;153(7):757-764. doi: 10.24875/GMM.17002616.

Abstract

OBJECTIVE

To assess the financial protection of public health insurance by analyzing the percentage of households with catastrophic health expenditure (HCHE) in Mexico and its relationship with poverty status, size of locality, federal entity, insurance status and items of health spending.

METHOD

Mexican National Survey of Income and Expenditures 2002-2014 was used to estimate the percentage of HCHE. Through a probit model, factors associated with the occurrence of catastrophic spending are identified. Analysis was performed using Stata-SE 12.

RESULTS

In 2014 there were 2.08% of HCHE (1.82-2.34%; N = 657,474). The estimated probit model correctly classified 98.2% of HCHE (Pr (D) ≥ 0.5). Factors affecting the catastrophic expenditures were affiliation, presence of chronic disease, hospitalization expenditure, rural condition and that the household is below the food poverty line.

CONCLUSIONS

The percentage of HCHE decreased in recent years, improving financial protection in health. This decline seems to have stalled, keeping inequities in access to health services, especially in rural population without affiliation to any health institution, below the food poverty line and suffering from chronic diseases.

摘要

目的

通过分析墨西哥灾难性医疗支出家庭(HCHE)的比例及其与贫困状况、地区规模、联邦实体、保险状况和医疗支出项目的关系,评估公共医疗保险的财务保护情况。

方法

使用2002 - 2014年墨西哥国家收入与支出调查来估计灾难性医疗支出家庭的比例。通过一个概率单位模型,确定与灾难性支出发生相关的因素。使用Stata - SE 12进行分析。

结果

2014年,灾难性医疗支出家庭的比例为2.08%(1.82 - 2.34%;N = 657,474)。估计的概率单位模型正确分类了98.2%的灾难性医疗支出家庭(Pr (D) ≥ 0.5)。影响灾难性支出的因素包括参保情况、慢性病的存在、住院支出、农村状况以及家庭处于食品贫困线以下。

结论

近年来,灾难性医疗支出家庭的比例有所下降,改善了医疗方面的财务保护。这种下降似乎已经停滞,在获得医疗服务方面仍存在不平等现象,尤其是在未隶属于任何医疗机构、处于食品贫困线以下且患有慢性病的农村人口中。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验