title: High Caesarean section rate in rural China: is it related to health insurance (New Co-operative Medical Scheme)?
abstract: The epidemic of Caesarean section (CS) is worldwide, and it has been argued that it is mainly due to non-medical factors, including healthcare financing patterns. We investigated the use of CS in rural China and the related factors, particularly health insurance in the form of the New Co-operative Medical Scheme introduced in 2003. A cross-sectional survey of women who gave birth in 2008-2009 was conducted in five rural counties in central and western China. Of the 5049 new mothers, 73% were interviewed. The association between health insurance coverage and self-reported CS (divided into emergency and non-emergency CS) were examined by cross-tabulation and logistic regression, adjusting for maternal age, education, occupation, household income, previous abortions, parity and type of birth health facility. We found that 46% of all births (3550) were CSs, with 13% having an emergency and 33% a non-emergency CS. Women reported that half of the non-emergency CSs were recommended by a doctor and half were requested by themselves. In those counties with mid-range CS rates (28%-63%), health insurance coverage was associated with having CS, and particularly with having non-emergency CS. In those counties with the highest (82%) and lowest (13%) rate, there was no statistically significant association. The findings suggest that health insurance coverage may have facilitated the overuse of CS. Further studies are needed to develop appropriate interventions to reduce non-medically indicated CS, focussing on payment mechanisms, healthcare provider practice patterns, and maternal requests.
authors.affiliation: Department of Public Health, University of Helsinki, Helsinki, Finland. qian.long@thl.fi
authors.forename: Qian
authors.initials: Q
authors.lastname: Long
authors.forename: Reija
authors.initials: R
authors.lastname: Klemetti
authors.forename: Yang
authors.initials: Y
authors.lastname: Wang
authors.forename: Fangbiao
authors.initials: F
authors.lastname: Tao
authors.forename: Hong
authors.initials: H
authors.lastname: Yan
authors.forename: Elina
authors.initials: E
authors.lastname: Hemminki
mesh_terms: D002585:Cesarean Section / Q000191:economics / Q000706:statistics & numerical data*; D002681:China; D003430:Cross-Sectional Studies; D004630:Emergencies; D005260:Female; D005382:Financing, Personal / Q000706:statistics & numerical data; D006801:Humans; D019458:Insurance Coverage; D007348:Insurance, Health / Q000706:statistics & numerical data*; D011247:Pregnancy; D036301:Qualitative Research; D019035:Rural Health Services / Q000191:economics / Q000706:statistics & numerical data*