The impact of health insurance on poverty among rural older adults: an evidence from nine counties of western China

Int J Equity Health. 2021 Jan 25;20(1):47. doi: 10.1186/s12939-021-01379-5.

Abstract

Background: Older adults are more prone to various diseases. Health insurance becomes effective mechanism to relieve financial burden when the insured is sick. In China, most older adults live in the countryside, and New Rural Cooperative Medical Scheme is a kind of health insurance system in rural areas. The relationship between New Rural Cooperative Medical Scheme and financial burden due to health expenditure of older adults in China was investigated. This paper aims at the impact of New Rural Cooperative Medical Scheme on the poverty among rural older adults.

Methods: This study employs Probit model and Tobit model to assess the impact of New Rural Cooperative Medical Scheme on alleviating poverty among rural older adults based on a survey in nine representative counties in western China.

Results: The findings show that diseases have significantly negative impact on rural elderly poverty. New Rural Cooperative Medical Scheme has impact on alleviating of the health-payment poverty due to catastrophic health expenditure, but the impact is limited. The impact of health insurance on poverty alleviation is greater for men, older adults aged between 60 to 69 and households in in economically poorer area than their counterparts.

Conclusions: This study show the relationship between New Rural Cooperative Medical Scheme and catastrophic health expenditure of older adults in China. The results draw policy attention to introduce different reimbursement expense ratios for different groups to alleviate them from poverty based on more comprehensive insurance packages.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • China
  • Female
  • Health Expenditures / statistics & numerical data
  • Humans
  • Insurance, Health* / economics
  • Male
  • Middle Aged
  • Poverty* / statistics & numerical data
  • Rural Population* / statistics & numerical data