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Development and validation of a new method for indirect estimation of neonatal, infant, and child mortality trends using summary birth histories

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  • Roy Burstein
  • Haidong Wang
  • Robert C Reiner Jr
  • Simon I Hay

Abstract

Background: The addition of neonatal (NN) mortality targets in the Sustainable Development Goals highlights the increased need for age-specific quantification of mortality trends, detail that is not provided by summary birth histories (SBHs). Several methods exist to indirectly estimate trends in under-5 mortality from SBHs; however, efforts to monitor mortality trends in important age groups such as the first month and first year of life have yet to utilize the vast amount of SBH data available from household surveys and censuses. Methods and findings: We analyzed 243 Demographic and Health Surveys (DHS) from 76 countries, which collected both complete and SBHs from 8.5 million children from 2.3 million mothers to develop a new empirically based method to indirectly estimate time trends in age-specific mortality. We used complete birth history (CBH) data to train a discrete hazards generalized additive model in order to predict individual hazard functions for children based on individual-, mother-, and country-year-level covariates. Individual-level predictions were aggregated over time by assigning probability weights to potential birth years from mothers from SBH data. Age-specific estimates were evaluated in three ways: using cross-validation, using an external database of an additional 243 non-DHS census and survey data sources, and comparing overall under-5 mortality to existing indirect methods. Conclusions: This new method for estimating child mortality produces results that are comparable to current best methods for indirect estimation of under-5 mortality while additionally producing age-specific estimates. Use of such methods allows researchers to utilize a massive amount of SBH data for estimation of trends in NN and infant mortality. Systematic application of these methods could further improve the evidence base for monitoring of trends and inequalities in age-specific child mortality. Roy Burstein and colleagues present and test their method for estimating age-specific child mortality using the summary birth history data that are broadly available from household surveys and censuses.Why was this study done?: What did the researchers do and find?: What do these findings mean?:

Suggested Citation

  • Roy Burstein & Haidong Wang & Robert C Reiner Jr & Simon I Hay, 2018. "Development and validation of a new method for indirect estimation of neonatal, infant, and child mortality trends using summary birth histories," PLOS Medicine, Public Library of Science, vol. 15(10), pages 1-23, October.
  • Handle: RePEc:plo:pmed00:1002687
    DOI: 10.1371/journal.pmed.1002687
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