Comparing modelled predictions of neonatal mortality impacts using list with observed results of community-based intervention trials in South Asia

  • Friberg I
  • Bhutta Z
  • Darmstadt G
 et al. 
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Abstract

BACKGROUND: There is an increasing body of evidence from trials suggesting that major reductions in neonatal mortality are possible through community-based interventions. Since these trials involve packages of varying content, determining how much of the observed mortality reduction is due to specific interventions is problematic. The Lives Saved Tool (LiST) is designed to facilitate programmatic prioritization by modelling mortality reductions related to increasing coverage of specific interventions which may be combined into packages. METHODS: To assess the validity of LiST outputs, we compared predictions generated by LiST with observed neonatal mortality reductions in trials of packages which met inclusion criteria but were not used as evidence inputs for LiST. RESULTS: Four trials, all from South Asia, met the inclusion criteria. The neonatal mortality rate (NMR) predicted by LiST matched the observed rate very closely in two effectiveness-type trials. LiST predicted NMR reduction was close (absolute difference

Author-supplied keywords

  • Bangladesh
  • Child survival
  • India
  • Lives saved tool
  • Modelling
  • Neonatal mortality
  • Pakistan

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Authors

  • Ingrid K. Friberg

  • Zulfiqar A. Bhutta

  • Gary L. Darmstadt

  • Abhay Bang

  • Simon Cousens

  • Abdullah H. Baqui

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