title: Time trends and regional differences in maternal mortality in China from 2000 to 2005.
abstract: OBJECTIVE
  To examine trends and variations in maternal mortality in China between 2000 and 2005.
  
  
  METHODS
  We used Poisson regression analysis of data from the Chinese National Maternal and Child Health Routine Reporting System between 2000 and 2005 to identify time trends in the maternal mortality ratio (MMR) by province and region.
  
  
  RESULTS
  The MMR declined by an average of 5% per year (crude relative risk, RR: 0.95; 95% confidence interval, CI: 0.94-0.97). There was no interaction between region and year (P = 0.2311). Mortality declined by 5% per year in the eastern region (crude RR: 0.95; 95% CI: 0.92-0.97), by 5% per year in the central region (crude RR; 0.95; 95% CI: 0.94-0.96), and by 4% per year in the western region (crude RR: 0.96; 95% CI: 0.94-0.98). The absolute difference in MMR between the western and eastern regions declined from 65.4 deaths per 100,000 live births in 2000 to 49.4 per 100,000 live births in 2005.
  
  
  CONCLUSIONS
  China is making good progress towards achieving the fifth Millennium Development Goal, and there is no evidence of a widening gap between better-off and economically more deprived provinces.
authors.affiliation: Peking University Health Science Center, 38 Xueyuan Road, Haidian District, 100083 Beijing, China.
authors.forename: Gao
authors.initials: G
authors.lastname: Yanqiu
authors.forename: Carine
authors.initials: C
authors.lastname: Ronsmans
authors.forename: An
authors.initials: A
authors.lastname: Lin
mesh_terms: D001723:Birth Rate; D002681:China / Q000453:epidemiology; D016208:Databases, Factual; D005260:Female; D005843:Geography; D006801:Humans; D008428:Maternal Mortality / Q000639:trends*; D016012:Poisson Distribution; D012923:Social Class; D013997:Time Factors
references.citation: BMJ. 1997 Jun 28;314(7098):1898-900
references.pmid: 9224139
references.citation: Lancet. 2005 Jan 22-28;365(9456):347-53
references.pmid: 15664232
references.citation: BMJ. 2007 Nov 17;335(7628):1025
references.pmid: 17977819
references.citation: Bull World Health Organ. 2009 Jun;87(6):416-23
references.pmid: 19565119
references.citation: Lancet. 2006 Oct 14;368(9544):1377-86
references.pmid: 17046470
references.citation: Zhonghua Fu Chan Ke Za Zhi. 1994 Sep;29(9):514-7, 572
references.pmid: 7835124
references.citation: Zhonghua Fu Chan Ke Za Zhi. 2003 May;38(5):257-60
references.pmid: 12895304
references.citation: Reprod Health Matters. 2002 Nov;10(20):108-16
references.pmid: 12557647
references.citation: Demography. 2000 Feb;37(1):109-26
references.pmid: 10748993
references.citation: World Health Stat Q. 1988;41(1):32-6
references.pmid: 3376487
references.citation: Lancet. 2006 Oct 28;368(9546):1535-41
references.pmid: 17071287
references.citation: Lancet. 2006 Sep 30;368(9542):1189-200
references.pmid: 17011946
references.citation: Obstet Gynecol. 2008 May;111(5):1077-82
references.pmid: 18448738
references.citation: Bull World Health Organ. 2007 Oct;85(10):755-62
references.pmid: 18038056
references.citation: Bull World Health Organ. 1999;77(5):399-406
references.pmid: 10361757
references.citation: Reprod Health Matters. 2007 Nov;15(30):114-24
references.pmid: 17938076
references.citation: Lancet. 2008 Apr 12;371(9620):1247-58
references.pmid: 18406859