Abstract

BackgroundThe World Health Organization's Global Burden of Disease (GBD) reports are an important tool for global health policy makers, however the accuracy of estimates for countries undergoing an epidemiologic transition is unclear. We attempted to validate the life table model used to generate estimates for all-cause mortality in developing countries.Methods and ResultsData were obtained for males and females from the Human Mortality Database for all countries with available data every ten years from 1900 to 2000. These provided inputs for the GBD life table model and served as comparison observed data. Above age sixty model estimates of survival for both sexes differed substantially from those observed. Prior to the year 1960 for males and 1930 for females, estimated survival tended to be greater than observed; following 1960 for both males and females estimated survival tended to be less than observed. Viewing observed and estimated survival separately, observed survival past sixty increased over the years considered. For males, the increase was from a mean (sd) probability of 0.22 (0.06) to 0.46 (0.1). For females, the increase was from 0.26 (0.06) to 0.65 (0.08). By contrast, estimated survival past sixty decreased over the same period. Among males, estimated survival probability declined from 0.54 (0.2) to 0.09 (0.06). Among females, the decline was from 0.36 (0.12) to 0.15 (0.08).ConclusionsThese results show that the GBD mortality model did not accurately estimate survival at older ages as developed countries transitioned in the twentieth century and may be similarly flawed in developing countries now undergoing transition. Estimates of the size of older-age populations and their attributable disease burden should be reconsidered.

Highlights

  • Estimating the mortality and morbidity burden of diseases worldwide is an important part of setting meaningful global health priorities

  • These results show that the Global Burden of Disease (GBD) mortality model did not accurately estimate survival at older ages as developed countries transitioned in the twentieth century and may be flawed in developing countries undergoing transition

  • The survival probabilities could be used to estimate the total number of deaths across all age groups in a given population, as is done in the GBD series

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Summary

Introduction

Estimating the mortality and morbidity burden of diseases worldwide is an important part of setting meaningful global health priorities. Since the 1990s, Global Burden of Disease (GBD) series of reports estimate rates of mortality and morbidity for countries that lack systems of vital registration or disease registries. A second model estimated the proportion of deaths by cause by age for each sex [7] This process was required for 92 out of 192 WHO member states in the last full report, published in 2006 [2]. We attempted to validate the life table model used to generate estimates for all-cause mortality in developing countries

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