上海交通大学学报（医学版）

上海交通大学学报（医学版）

• 论著（公共卫生） • 上一篇    下一篇

老年人家庭灾难性卫生支出现况及其影响因素研究

张薇薇，李国红   

  1. 上海交通大学 公共卫生学院， 上海 200025
  • 出版日期:2015-03-28 发布日期:2015-03-26
  • 通讯作者: 李国红, 电子信箱: li_guohong@hotmail.com。
  • 作者简介:张薇薇（1988—）， 女， 硕士生; 电子信箱: zww258.cool@163.com。

Study on catastrophic health expenditure of families with old people and its influencing factors

ZHANG Wei-wei, LI Guo-hong   

  1. School of Public Health, Shanghai Jiao Tong University, Shanghai 200025, China
  • Online:2015-03-28 Published:2015-03-26

PDF (PC)

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摘要：

目的 了解60岁及以上老年人的医疗卫生支出对家庭的影响。方法 采用中国健康与养老追踪（CHARLS）的数据，用60岁以上老年人医疗卫生支出以及家庭支付能力，计算60岁及以上老年人的家庭灾难性卫生支出，并用Logistic回归模型分析导致灾难性卫生支出的影响因素。结果 有60岁及以上老年人的家庭灾难性卫生支出的发生率为17.00%。在分析灾难性卫生支出的影响因素中，家庭总人口数（OR=0.765）、社会经济地位为富裕（OR=0.576）和社会经济地位为最富裕（OR=0.514）是保护性因素；老年人的年龄（OR=1.025）、是否患有慢性病（OR=1.443）、是否住院（OR=2.285）是危险因素。结论 为降低家庭灾难性卫生支出的发生率，政府应该重视初级保健、加大对老年患者的医疗保障、提高收入公平性。

关键词: 老年人, 灾难性卫生支出, 影响因素, Logistic回归模型

Abstract:

Objective To explore the impact of health expenditure of the elderly who are 60 or more years old on the family. Methods Data from the China Health and Retirement Longitudinal Study (CHARLS) was adopted. The household catastrophic health expenditure for the elderly who were 60 or more years old was calculated according to their health expenditures and household affordability. Factors that affected the catastrophic health expenditure were analyzed by the Logistic regression model. Results Among all families that at least one family member was 60 or more years old, 17.00% of them had paid for the catastrophic health expenditure. For factors that affected the catastrophic health expenditure, the number of family members (OR=0.765), socioeconomic status was wealthy (OR=0.576), and socioeconomic status was the wealthiest (OR=0.514) were protective factors, and age (OR=1.025), suffering from chronic diseases (OR=1.443), and hospitalization (OR=2.285) were risk factors. Conclusion The government should pay attention to the primary health care, increasing the medical security for the elderly, and improving the equity of income, so as to reduce the incidence of paying the catastrophic health expenditure.

Key words: the elderly, catastrophic health expenditure, factors, Logistic regression model