Estimating global injuries morbidity and mortality: methods and data used in the Global Burden of Disease 2017 study
James, Spenser L.; Castle, Chris D.; Dingels, Zachary V.; Fox, Jack T.; Kisa, Adnan; Kisa, Sezer; Vos, Theo; Reiner, Robert C.
Journal article, Peer reviewed
Published version
Date
2020-08-24Metadata
Show full item recordCollections
Original version
James, Castle CD, Dingels ZV, Fox JT, Kisa A, Kisa S, Vos T, Reiner RC. Estimating global injuries morbidity and mortality:methods and data used in the Global Burden ofDisease 2017 study. Injury Prevention. 2020:i125-i153 http://dx.doi.org/10.1136/injuryprev-2019-043531Abstract
Background: While there is a long history of measuring death and
disability from injuries, modern research methods must account for
the wide spectrum of disability that can occur in an injury, and must
provide estimates with sufficient demographic, geographical and
temporal detail to be useful for policy makers. The Global Burden of
Disease (GBD) 2017 study used methods to provide highly detailed
estimates of global injury burden that meet these criteria.
Methods: In this study, we report and discuss the methods used in
GBD 2017 for injury morbidity and mortality burden estimation. In
summary, these methods included estimating cause-specific mortality
for every cause of injury, and then estimating incidence for every cause
of injury. Non-fatal disability for each cause is then calculated based
on the probabilities of suffering from different types of bodily injury
experienced.
Results: GBD 2017 produced morbidity and mortality estimates for
38 causes of injury. Estimates were produced in terms of incidence,
prevalence, years lived with disability, cause-specific mortality, years
of life lost and disability-adjusted life-years for a 28-year period for 22
age groups, 195 countries and both sexes.
Conclusions: GBD 2017 demonstrated a complex and sophisticated
series of analytical steps using the largest known database of morbidity
and mortality data on injuries. GBD 2017 results should be used to
help inform injury prevention policy making and resource allocation. We
also identify important avenues for improving injury burden estimation
in the future.