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Figure 2 Rates of adverse pregnancy outcomes per ...

Figure 2 Determinants of live birth (vs. stillbir...

Figure 2 Stillbirth, early neonatal death and per...

Figure 1 Risk by week of gestation for stillbirth...

Figure 2 Schematic depiction of pregnancy course ...

Figure 2 Impact of community-based skilled birth ...

Figure 5 Effects of interventions on stillbirths ...

Figure 1 Mean birth weight in preterm live births...

Fig 2 Perinatal mortality. Midhet study ...

Figure 3 Stillbirth, early neonatal death and per...

Figure 3: Stillbirth rates by reporting criteria. Norwegian stillbirth rates according to reports based on weight or gestational age. The data include 2.4 million births and 13,100 stillbirths in the Medical Birth Registry of the Norwegian Institute of Public Health.

Image Text (High Precision): 2007 500 Stillbirth rates weeks

Other Images from "Making stillbirths count, making numbers talk - Issues in data collection for stillbirths":


Figure 1 Stillbirth determinants. A framework of ...

Figure 3 Stillbirth rates by reporting criteria. ...

Figure 4 Dataset template for stillbirths. A temp...

Figure 5 Causes of death in stillbirth. Expandabl...

Figure 6 Operational causes of death. Examples of...

Figure 2 Definition of stillbirth. The definition...

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Abstract

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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