title: A New Method for Deriving Global Estimates of Maternal Mortality.
abstract: Maternal mortality is widely regarded as a key indicator of population health and of social and economic development. Its levels and trends are monitored closely by the United Nations and others, inspired in part by the UN's Millennium Development Goals (MDGs), which call for a three-fourths reduction in the maternal mortality ratio between 1990 and 2015. Unfortunately, the empirical basis for such monitoring remains quite weak, requiring the use of statistical models to obtain estimates for most countries. In this paper we describe a new method for estimating global levels and trends in maternal mortality. For countries lacking adequate data for direct calculation of estimates, we employed a parametric model that separates maternal deaths related to HIV/AIDS from all others. For maternal deaths unrelated to HIV/AIDS, the model consists of a hierarchical linear regression with three predictors and variable intercepts for both countries and regions. The uncertainty of estimates was assessed by simulating the estimation process, accounting for variability both in the data and in other model inputs. The method was used to obtain the most recent set of UN estimates, published in September 2010. Here, we provide a concise description and explanation of the approach, including a new analysis of the components of variability reflected in the uncertainty intervals. Final estimates provide evidence of a more rapid decline in the global maternal mortality ratio than suggested by previous work, including another study published in April 2010. We compare findings from the two recent studies and discuss topics for further research to help resolve differences.
authors.affiliation: Department of Demography, University of California, Berkeley.
authors.forename: John R
authors.initials: JR
authors.lastname: Wilmoth
authors.affiliation: Institute of Behavioral Science, University of Colorado, Boulder.
authors.forename: Nobuko
authors.initials: N
authors.lastname: Mizoguchi
authors.affiliation: World Health Organization.
authors.forename: Mikkel Z
authors.initials: MZ
authors.lastname: Oestergaard
authors.affiliation: World Health Organization.
authors.forename: Lale
authors.initials: L
authors.lastname: Say
authors.affiliation: World Health Organization.
authors.forename: Colin D
authors.initials: CD
authors.lastname: Mathers
authors.affiliation: Department of Global Health, Emory University.
authors.forename: Sarah
authors.initials: S
authors.lastname: Zureick-Brown
authors.affiliation: World Health Organization.
authors.forename: Mie
authors.initials: M
authors.lastname: Inoue
authors.affiliation: World Health Organization.
authors.forename: Doris
authors.initials: D
authors.lastname: Chou
keywords: AIDS mortality; Millennium Development Goals; maternal mortality; multilevel regression model