Estimating the burden of road traffic crashes in Uganda using police and health sector data sources
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Date
2021
Journal Title
Journal ISSN
Volume Title
Publisher
Injury prevention
Abstract
d In many low-income countries, estimates
of road injury burden are derived from police reports, and
may not represent the complete picture of the burden in
these countries. As a result, WHO and the Global Burden
of Diseases, Injuries and Risk Factors Project often use
complex models to generate country-specific estimates.
Although such estimates inform prevention targets,
they may be limited by the incompleteness of the data
and the assumptions used in the models. In this crosssectional study, we provide an alternative approach to
estimating road traffic injury burden for Uganda for the
year 2016 using data from multiple data sources (the
police, health facilities and mortuaries).
Methods A digitised data collection tool was used
to extract crash and injury information from files in 32
police stations, 31 health facilities and 4 mortuaries in
Uganda. We estimated crash and injury burden using
weights generated as inverse of the product of the
probabilities of selection of police regions and stations.
Results We estimated that 25 729 crashes occurred
on Ugandan roads in 2016, involving 59 077 individuals
with 7558 fatalities. This is more than twice the number
of fatalities reported by the police for 2016 (3502) but
lower than the estimate from the 2018 Global Status
Report (12 036). Pedestrians accounted for the greatest
proportion of the fatalities 2455 (32.5%), followed by
motorcyclists 1357 (18%).
Conclusions Using both police and health sector data
gives more robust estimates for the road traffic burden in
Uganda than using either source alone.
Description
Keywords
Burden, Road traffic crashes, Uganda, Police, Health sector data sources
Citation
: Muni KM, Ningwa A, Osuret J, et al. Inj Prev Epub ahead of print: [please include Day Month Year]. doi:10.1136/ injuryprev-2020-043654