Pedestrian injuries in school-attending children: a comparison of injury data sources in a low-income setting.
OBJECTIVE
To estimate and compare the rate of pedestrian injuries in primary school-attending children of urban Uganda using different data sources.


METHODS
Data collection from a hospital-based trauma registry, police data, teacher reports, and a cross-sectional community-based survey.


METHODS
Kawempe, the largest urban district in the capital Kampala, Uganda. Patients or


METHODS
Primary school-attending children aged 4-12 from 39 randomly selected schools were included in the trauma registry, police data, and teacher reports. 1828 households randomly selected from the 39 schools were interviewed for the community survey.


METHODS
A pedestrian injury. For the trauma registry-defined as a pedestrian injury resulting in a visit to the hospital. For the police data-defined as a pedestrian injury reported to the police. For the teacher reports and survey-defined as a pedestrian injury resulting in at least a day off school.


RESULTS
The estimated pedestrian injury rates per 100 000 person-years were 54.0 (95% CI 25.3 to 117.4), <53.97 (95% CI 23.8 to 125.9), 1878.8 (95% CI 1513.1 to 2322.4), and 764.0 (95% CI 523.3 to 1117.2) from the trauma registry, police data, teacher reports, and community survey, respectively.


CONCLUSIONS
Pedestrian injury rates differed significantly between different data sources. Users must be aware of the different target populations, definitions, and limitations of the data sources before direct comparisons are made. Injury reports by volunteer teachers may be a feasible source of injury data in other low/middle-income countries.
Lee
P P S
PP
Department of Surgery, University of Toronto, Toronto, Ontario, Canada.
Mihailovic
A
A
Rothman
L
L
Mutto
M
M
Nakitto
M
M
Howard
A W
AW
D000063:Accidents, Traffic / Q000706:statistics & numerical data*; D002648:Child; D002675:Child, Preschool; D003430:Cross-Sectional Studies; D003625:Data Collection / Q000379:methods*; D005260:Female; D006801:Humans; D008297:Male; D016495:Police / Q000706:statistics & numerical data; D011203:Poverty; D012307:Risk Factors; D012574:Schools / Q000706:statistics & numerical data; D013334:Students / Q000706:statistics & numerical data*; D014454:Uganda / Q000453:epidemiology; D014504:Urban Health; D014947:Wounds and Injuries / Q000453:epidemiology*