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Life tables are versatile across various fields, providing a quantitative basis for analyzing mortality and survival rates. Whether used by demographers, actuaries, epidemiologists, or sociologists, life tables offer valuable insights into the dynamics of life and death, facilitating informed decisions in public health, insurance, conservation, and beyond. Their broad applicability highlights the interconnectedness of demographic data with practical outcomes in everyday life and strategic...
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Modelling stillbirth mortality reduction with the Lives Saved Tool.

Hannah Blencowe1, Victoria B Chou2, Joy E Lawn3

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BMC Public Health
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Summary

The Lives Saved tool (LiST) models interventions to reduce stillbirths, a major global health issue. Refinements are needed to improve data accuracy and expand intervention modeling for policy planning.

Keywords:
Lives saved toolMortality modellingStillbirths

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Area of Science:

  • Global health
  • Maternal and child health
  • Epidemiological modeling

Background:

  • Stillbirths represent a significant global health burden, with millions of babies stillborn annually.
  • The Every Newborn Action Plan aims to reduce stillbirths to ≤12 per 1000 by 2030.
  • Effective planning tools are crucial for countries to implement interventions and achieve this target.

Purpose of the Study:

  • To describe the methodology for modeling stillbirth reduction interventions within the Lives Saved tool (LiST).
  • To review evidence for intervention effectiveness and assumptions regarding their impact on stillbirths.
  • To identify areas for future refinement of the LiST stillbirth model.

Main Methods:

  • Adapted the general LiST intervention modeling approach for stillbirths.
  • Reviewed evidence on the effectiveness of interventions aimed at reducing stillbirths.
  • Presented assumptions on the proportion of stillbirths potentially benefiting from interventions.

Main Results:

  • High-quality data for all model parameters are not yet available.
  • Stillbirths are modeled using an attributable fraction approach based on timing (antepartum/intrapartum).
  • Eight of 35 identified interventions are currently modeled, including childbirth care, malaria prevention, and management of hypertensive disorders and diabetes.

Conclusions:

  • Effective interventions exist and can be modeled using the LiST tool to reduce stillbirths.
  • Improving data quality for stillbirths is essential.
  • Continuous refinement of the LiST tool is necessary for reliable policy and programming support.