Childhood Nutrition in Rural China: What Impact Does Public Health Insurance Have?

Value Health. 2021 Mar;24(3):317-324. doi: 10.1016/j.jval.2020.06.017. Epub 2020 Nov 10.

Abstract

Objectives: To investigate the impact of public health insurance coverage, specifically the New Cooperative Medical Scheme (NCMS), on childhood nutrition in poor rural households in China, and to identify the mechanisms through which health insurance coverage affects nutritional intake.

Methods: Longitudinal data on 3291 children were taken from four time periods (2004, 2006, 2009, and 2011) from the China Health and Nutrition Survey (CHNS). Panel data analysis was performed with the fixed-effect model and the propensity score matching with difference-in-differences (PSM-DID) approach.

Results: The introduction of the NCMS was associated with a decline in calories, fat, and protein intake, and an increase in the intake of carbohydrates. The NCMS had the greatest negative effect on children aged 0 to 5 years, particularly girls. Out-of-pocket medical expenses were identified as the main channel through which the NCMS affected the nutritional intake of children.

Conclusions: The study showed that the NCMS neither significantly improved the nutritional status of children nor enhanced intake of high-quality nutrients among rural poor households. These findings were attributed to the way in which health-seeking behavior was modified in the light of NCMS coverage. Specifically, NCMS coverage tended to increase healthcare utilization, which in turn increased out-of-pocket medical expenditures. This encouraged savings to aid financial risk protection and resulted in less disposable income for food consumption.

Keywords: China; children; nutrition; public health insurance program.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Age Factors
  • Child
  • Child, Preschool
  • China
  • Diet
  • Energy Intake / physiology*
  • Female
  • Financing, Personal / statistics & numerical data*
  • Humans
  • Infant
  • Infant, Newborn
  • Longitudinal Studies
  • Male
  • Models, Econometric
  • Nutrition Surveys
  • Nutritional Status / physiology*
  • Propensity Score
  • Public Health
  • Rural Population / statistics & numerical data*
  • Sex Factors
  • Universal Health Insurance / statistics & numerical data*