title: [Applicability of lives saved tool in projecting effects of scaling up interventions on reducing maternal mortality rates in the rural area of Guangxi province in China].
abstract: OBJECTIVE
  To evaluate applicability of lives saved tool (LiST) in projecting effects of maternal health interventions on reducing maternal mortality in the rural area of Guangxi Zhuang Autonomous Region in China, and provide evidence for promoting LiST in China.
  
  
  METHODS
  By using maternal intervention coverage and other information collected through the cross-sectional household survey, literature review and expert consultation, LiST projection was performed and modeled. The maternal mortality reduction and causes of death were measured and compared, and the differences were analyzed. SPSS 19.0 was used in the household survey data analysis.
  
  
  RESULTS
  Coverage of calcium supplementation, MgSO4-management of pre-eclampsia and institutional delivery reached 51.9%, 99.0% and 98.4% respectively in rural Guangxi in 2011. The LiST captured the general trend of maternal mortality in rural Guangxi. The modeled maternal mortality rate was 4.71%, lower than the measured in 2009 and 10.43% higher in 2010. Maternal mortality rate would decreased to 18/100 000 in 2015 assuming all relevant interventions reached full coverage, and 90% of the maternal morality reduction was attributed to the labor and delivery management.
  
  
  CONCLUSIONS
  LiST can be applied to project effects of maternal health interventions on reducing the maternal mortality in rural Guangxi, but its accuracy was limited by the fact that the effect of relevant interventions on some major causes of maternal death, such as amniotic embolism, was not calculated in LiST and maternal deaths caused by those causes varied by the year in the area. Based on the LiST projection, labor and delivery management was found to be the priority intervention in improving maternal health in rural Guangxi. Improving the quality of obstetric care in township hospitals and facilitating referral of high-risk pregnant women were highly recommended.
authors.affiliation: Department of Health Policy and Administration, Peking University School of Public Health, Beijing, China.
authors.forename: Da-sheng
authors.initials: DS
authors.lastname: Luo
authors.forename: Li-li
authors.initials: LL
authors.lastname: Chen
authors.forename: Ping
authors.initials: P
authors.lastname: Wei
authors.forename: Zhen
authors.initials: Z
authors.lastname: Jiang
authors.forename: Yan
authors.initials: Y
authors.lastname: Guo
mesh_terms: D002681:China; D003430:Cross-Sectional Studies; D036861:Delivery, Obstetric; D005260:Female; D006801:Humans; D008427:Maternal Health Services; D008428:Maternal Mortality; D008429:Maternal Welfare; D011225:Pre-Eclampsia; D011247:Pregnancy; D012424:Rural Population