What contributes to medical debt? Evidence from patients in rural China

BMC Health Serv Res. 2020 Jul 28;20(1):696. doi: 10.1186/s12913-020-05551-5.

Abstract

Background: Rural households in developing countries usually have severe medical debt due to high out-of-pocket (OOP) payments, which contributes to bankruptcy. China implemented the critical illness insurance (CII) in 2012 to decrease patients' medical expenditure. This paper aimed to explore the medical debt of rural Chinese patients and its influencing factors.

Methods: A questionnaire survey of health expenditures and medical debt was conducted in two counties of Central and Western China in 2017. Patients who received CII were used as the sample on the basis of multi-stage stratified cluster sampling. Descriptive statistics and multivariate analysis of variance were used in all data. A two-part model was used to evaluate the occurrence and extent of medical debt.

Results: A total of 826 rural patients with CII were surveyed. The percentages of patients incurring medical debt exceeded 50% and the median debt load was 20,000 Chinese yuan (CNY, 650 CNY = US$100). Financial assistance from kin (P < 0.001) decreased the likelihood of medical debt. High inpatient expenses (IEs, P < 0.01), CII reimbursement ratio (P < 0.001), and non-direct medical costs (P < 0.001) resulted in increased medical debt load.

Conclusions: Medical debt is still one of the biggest problems in rural China. High IEs, CII reimbursement ratio, municipal or high-level hospitals were the risk determinants of medical debt load. Financial assistance from kin and household income were the protective factors. Increasing service capability of hospitals in counties could leave more patiemts in county-level and township hospitals. Improving CII with increased reimbursement rate may also be issues of concern.

Keywords: Critical illness insurance; Medical debt; Rural China; Social support; Two-part model.

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • China
  • Critical Illness / economics
  • Female
  • Health Expenditures / statistics & numerical data*
  • Humans
  • Insurance Coverage
  • Insurance, Health / economics
  • Male
  • Middle Aged
  • Rural Population / statistics & numerical data*
  • Surveys and Questionnaires
  • Young Adult