Whether New Cooperative Mmedical Schemes reduce the economic burden of chronic disease in rural China

PLoS One. 2013;8(1):e53062. doi: 10.1371/journal.pone.0053062. Epub 2013 Jan 9.

Abstract

Background: The New Cooperative Medical Scheme (NCMS) provides health insurance coverage for rural populations in China. This study aimed to evaluate changes in household catastrophic health expenditure (CHE) due to chronic disease before and after the reimbursement policies for services of chronic disease were implemented to provide additional financial support.

Methods: The study used data from the household surveys conducted in Shandong Province and Ningxia Hui Autonomous Region in 2006 and 2008. The study sample in village-level units was divided into two groups: 36 villages which implemented the NCMS reimbursement policies for chronic diseases as the intervention group, and 72 villages which did not as the control group. Health care expenditure of more than 40% of household's non-food expenditure was defined as a household with CHE (i.e., impoverishment). The conceptual framework was established based on the Andersen socio-behavioral model of health care utilization to explore how the NCMS reimbursement policies impacted health expenditures. A difference-in-difference model was employed to compare the change in the proportion of households incurring CHE due to chronic disease between the two groups over time.

Results: The households that participated in the NCMS were less likely to become impoverished (P<0.05). In addition, the households with both male household head and higher income level were protective factors to prevent CHE (P<0.05). Young households with preschool children suffered less from CHE (P<0.05). The effect of the NCMS reimbursement policies for chronic disease on the CHE was negative, yet not statistically significant (p = 0.814).

Conclusions: The NCMS coverage showed financial protection for households with chronic disease. However, the NCMS reimbursement policies should be strengthened in the future.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms
  • China
  • Chronic Disease / economics*
  • Community Health Services / economics*
  • Community Health Services / statistics & numerical data
  • Cost of Illness*
  • Family Characteristics
  • Female
  • Financing, Government / economics*
  • Humans
  • Insurance, Health / economics
  • Insurance, Health / statistics & numerical data
  • Male
  • Models, Economic
  • Rural Health / economics
  • Rural Health / statistics & numerical data
  • Rural Health Services / economics*
  • Rural Health Services / statistics & numerical data

Grants and funding

The data used for the paper were derived from the study conducted as part of a project entitled “Bringing health care to the vulnerable: developing equitable and sustainable rural health insurance in China and Vietnam (RHINCAV)” funded by the European Commission (Specific Targeted Research Project) and coordinated by the Liverpool School of Tropical Medicine (grant number 015305). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.