Journal of Epidemiology & Community Health
March 2016, Volume 70, Issue 3
http://jech.bmj.com/content/current
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Editorial
Methods to estimate maternal mortality: a global perspective
Serena Donati, Alice Maraschini, Marta Buoncristiano, the Regional Maternal Mortality Working Group
Author Affiliations
National Centre for Epidemiology, Surveillance, and Health Promotion—Istituto Superiore di Sanità, Italian National Institute of Health, Rome Italy
Extract
The maternal mortality ratio (MMR) is globally a reproductive health core indicator, and the death of a woman, while pregnant or within 42 days of termination of pregnancy, is always, anywhere and anyway, a tragedy for the entire community. Reducing the MMR is one of the Millennium Development Goals and the UN Global strategy for women’s and children’s health mobilised multiple resources and commitments to accelerate this objective.1 However MMR estimates and accurate identification of the causes of maternal death are still a complex and difficult challenge. In most developing country settings, owing to the lack of complete and accurate civil registration systems, MMR estimates are based on data from a variety of alternative sources including censuses, household surveys, reproductive age mortality studies and verbal autopsies.2 The WHO classified 183 countries/territories according to the availability and quality of maternal mortality data: 67 countries (covering 17% of births) having complete civil registration data with good attribution of causes of death, 96 countries (covering 81% of births) having incomplete civil registration and/or other types of maternal mortality data and 20 countries (covering 2% of births) lacking national data on maternal mortality. For the last two categories, a regression model has been developed to estimate maternal mortality figures.3 The Demographic and Health Surveys Program4 uses the sisterhood method for Maternal Mortality estimations. This method remains the major source of empirical data on maternal mortality in developing countries, although it presents notable limitations.