Health Insurance and Health Care among the Mid-Aged and Older Chinese: Evidence from the National Baseline Survey of CHARLS

Health Econ. 2017 Apr;26(4):431-449. doi: 10.1002/hec.3322. Epub 2016 Feb 9.

Abstract

We document the recent profile of health insurance and health care among mid-aged and older Chinese using data from the China Health and Retirement Longitudinal Study conducted in 2011. Overall health insurance coverage is about 93%. Multivariate regressions show that respondents with lower income as measured by per capita expenditure have a lower chance of being insured, as do the less-educated, older, and divorced/widowed women and rural-registered people. Premiums and reimbursement rates of health insurance vary significantly by schemes. Inpatient reimbursement rates for urban people increase with total cost to a plateau of 60%; rural people receive much less. Demographic characteristics such as age, education, marriage status, per capita expenditure, and self-reported health status are not significantly associated with share of out-of-pocket cost after controlling community effects. For health service use, we find large gaps that vary across health insurance plans, especially for inpatient service. People with access to urban health insurance plans are more likely to use health services. In general, Chinese people have easy access to median low-level medical facilities. It is also not difficult to access general hospitals or specialized hospitals, but there exists better access to healthcare facilities in urban areas. Copyright © 2016 John Wiley & Sons, Ltd.

Keywords: CHARLS; H51; I11; I13; health care; health insurance.

Publication types

  • Research Support, Non-U.S. Gov't
  • Research Support, N.I.H., Extramural

MeSH terms

  • Aged
  • China
  • Female
  • Health Expenditures
  • Health Services Accessibility / economics*
  • Health Surveys
  • Humans
  • Insurance Coverage / statistics & numerical data*
  • Insurance, Health / statistics & numerical data*
  • Male
  • Middle Aged
  • Rural Population / statistics & numerical data
  • Urban Population / statistics & numerical data