• Bmc Pregnancy Childb · Jan 2009

    Making stillbirths count, making numbers talk - issues in data collection for stillbirths.

    • J Frederik Frøen, Sanne J Gordijn, Hany Abdel-Aleem, Per Bergsjø, Ana Betran, Charles W Duke, Vincent Fauveau, Vicki Flenady, Sven Gudmund Hinderaker, G Justus Hofmeyr, Abdul Hakeem Jokhio, Joy Lawn, Pisake Lumbiganon, Mario Merialdi, Robert Pattinson, and Anuraj Shankar.
    • Department of Genes and Environment, Division of Epidemiology, Norwegian Institute of Public Health, P.O. Box 4404 Nydalen, N-0403 Oslo, Norway. frederik.froen@fhi.no
    • Bmc Pregnancy Childb. 2009 Jan 1; 9: 58.

    BackgroundStillbirths need to count. They constitute the majority of the world's perinatal deaths and yet, they are largely invisible. Simply counting stillbirths is only the first step in analysis and prevention. From a public health perspective, there is a need for information on timing and circumstances of death, associated conditions and underlying causes, and availability and quality of care. This information will guide efforts to prevent stillbirths and improve quality of care.DiscussionIn this report, we assess how different definitions and limits in registration affect data capture, and we discuss the specific challenges of stillbirth registration, with emphasis on implementation. We identify what data need to be captured, we suggest a dataset to cover core needs in registration and analysis of the different categories of stillbirths with causes and quality indicators, and we illustrate the experience in stillbirth registration from different cultural settings. Finally, we point out gaps that need attention in the International Classification of Diseases and review the qualities of alternative systems that have been tested in low- and middle-income settings.SummaryObtaining high-quality data will require consistent definitions for stillbirths, systematic population-based registration, better tools for surveys and verbal autopsies, capacity building and training in procedures to identify causes of death, locally adapted quality indicators, improved classification systems, and effective registration and reporting systems.

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