Magoola Joseph, Kobusingye Olive, Bachani Abdulgafoor M, Tumwesigye Nazarius Mbona, Kimuli Derrick, Paichadze Nino
a Programs Unit, African Field Epidemiology Network , Kampala , Uganda.
b Department of Disease Control and Environmental Health , Makerere University School of Public Health , Kampala , Uganda.
Int J Inj Contr Saf Promot. 2018 Dec;25(4):341-346. doi: 10.1080/17457300.2018.1431934. Epub 2018 Feb 19.
Road traffic injuries (RTIs) are commonly under-reported in low-and-medium-income countries. This study aimed to estimate the number of RTIs and determine the magnitude of under-reporting by traffic police and hospital registries. A two-source capture-recapture method was applied to RTI data from police and hospital registries. Seven matching variables; sex of the injured, date, place, time, day of crash and road user type were used to get the matched cases. Police independently reported 46 RTIs and the hospitals reported 206 RTIs. Using the capture-recapture analysis, both sources estimated 313 RTIs (95% CI 273-343). The police registry captured 14.4% of the estimated number of RTIs and the hospitals captured 60.4%. The estimated number of RTIs was higher than reported by either the police or the hospitals alone. Neither the police nor the hospitals provided accurate data on RTIs, calling for the strengthening of both sources of data.
在中低收入国家，道路交通伤害（RTIs）的报告通常不足。本研究旨在估计道路交通伤害的数量，并确定交通警察和医院登记处漏报的程度。采用双源捕获-再捕获方法对来自警察和医院登记处的道路交通伤害数据进行分析。使用七个匹配变量：伤者性别、日期、地点、时间、事故发生日和道路使用者类型来获取匹配病例。警察独立报告了46起道路交通伤害事件，医院报告了206起。通过捕获-再捕获分析，两个来源估计道路交通伤害事件有313起（95%可信区间273-343）。警察登记处捕获了估计道路交通伤害事件数量的14.4%，医院捕获了60.4%。道路交通伤害事件的估计数量高于警察或医院单独报告的数量。警察和医院都没有提供关于道路交通伤害的准确数据，这就需要加强这两个数据来源。
