Browsing by Author "Wandera, B."

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    Estimates of the Gross Domestic Product Loss due to Violence in Uganda
    (Injury Prevention, 2010) Nakitto, M.; Wandera, B.; Cannoodt, L.; Kiwanuka, N.; Lett, R.
    There is lack of information on economic cost of violent related injuries in Uganda. The study estimates both direct and indirect costs incurred as a result of interpersonal and self directed violent injuries. Data were collected from four hospitals and two health centres (September 2008 to November 2009) using a standardised form while medico-legal data were collected from Government chemist and Police surgeon. Estimating cost parameters were derived from a WHO Manual. Statistical analyses were done using Stata 10. Intentional injuries accounted for 20.7% of all injuries. Self-inflicted accounted for 30.3%, while interpersonal 69.7%. Violent injuries were frequent in homes; with causes: stabbing (31.1%) and poisoning (8.5%). Proportion of intentional injuries in homes was significantly higher than of unintentional injuries, 46.9% versus 23.7% (p<0.001). Direct total costs for self-directed injuries were $16 971 while per self-directed injury was $132.6. Indirect total costs for self-directed injuries were $506 443, while per self-directed injury was $3957. Direct medical costs for interpersonal injuries were $44 469, while $155 per interpersonal injury. Indirect costs for interpersonal injuries were $1 519 329, while $5312 per interpersonal injury. Direct costs due to violent injuries accounted for 0.04% of GDP while indirect costs accounted for 5.14% of GDP. Economic cost of violent injuries in Uganda is substantive and could be saved for more pressing priorities if a preventive strategy is implemented.
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    Estimating the burden of injuries in Uganda from all available data sources
    (Injury Prevention, 2010) Wandera, B.; Bhalla, K.; Mabweijano, J.; Nakitto, M.; Bahcani, A.; Kobusingye, O.; Hyder, A.A.
    Estimating injury burden in low income countries is hampered by lack of structured nationally representative data collection systems. To demonstrate the construction of estimates of the national burden of injuries using a systematic assessment of multiple data sources. The approach harnesses the strength of each source and accounts for biases in data.We conducted an environmental scan of all existing data sources that can inform estimates of the incidence of fatal and non-fatal injuries in Uganda. These included:Mortuary data from Kampala city and Mulago hospital mortuaries.Verbal autopsy data from two district health and demographic surveillance systems.Community Injury Survey: conducted in one rural district and one urban district,Uganda National Household Survey.2004 Northern Uganda Baseline Survey. Hospital based trauma surveillance at Mulago hospital.We estimated national injury mortality from urban rates estimated from mortuary data from Kampala and rural rates based on the two HDSS sites. We estimated the population incidence of non-fatal injuries using the household surveys. Total injury incidence was obtained from the two national health surveys and the external cause disaggregation was computed from the community injury survey. Finally, we used the hospital surveillance data to estimate the distribution of nature of injuries. Despite paucity of information, we derived national injury estimates from diverse data sources. Such an approach may have relevance to other low income settings. Development of a comprehensive national health information system that captures injuries is needed in Uganda.