Abstract
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.
Original language | English |
---|---|
Pages (from-to) | I125-I153 |
Journal | Injury Prevention |
Volume | 26 |
Issue number | 1 |
DOIs | |
Publication status | Published - 2020 |
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In: Injury Prevention, Vol. 26, No. 1, 2020, p. I125-I153.
Research output: Contribution to journal › Article › peer-review
TY - JOUR
T1 - Estimating global injuries morbidity and mortality
T2 - Methods and data used in the Global Burden of Disease 2017 study
AU - James, Spencer L.
AU - Castle, Chris D.
AU - Dingels, Zachary V.
AU - Fox, Jack T.
AU - Hamilton, Erin B.
AU - Liu, Zichen
AU - Roberts, Nicholas L.S.
AU - Sylte, Dillon O.
AU - Bertolacci, Gregory J.
AU - Cunningham, Matthew
AU - Henry, Nathaniel J.
AU - Legrand, Kate E.
AU - Abdelalim, Ahmed
AU - Abdollahpour, Ibrahim
AU - Abdulkader, Rizwan Suliankatchi
AU - Abedi, Aidin
AU - Abegaz, Kedir Hussein
AU - Abosetugn, Akine Eshete
AU - Abushouk, Abdelrahman I.
AU - Adebayo, Oladimeji M.
AU - Adsuar, Jose C.
AU - Advani, Shailesh M.
AU - Agudelo-Botero, Marcela
AU - Ahmad, Tauseef
AU - Ahmed, Muktar Beshir
AU - Ahmed, Rushdia
AU - Aichour, Miloud Taki Eddine
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AU - Alanezi, Fahad Mashhour
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N1 - Publisher Copyright: © Author(s) (or their employer(s)) 2020. Re-use permitted under CC B Y. Published by BMJ.
PY - 2020
Y1 - 2020
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85092681636&partnerID=8YFLogxK
U2 - 10.1136/injuryprev-2019-043531
DO - 10.1136/injuryprev-2019-043531
M3 - Article
C2 - 32839249
AN - SCOPUS:85092681636
SN - 1353-8047
VL - 26
SP - I125-I153
JO - Injury Prevention
JF - Injury Prevention
IS - 1
ER -