PT - JOURNAL ARTICLE AU - Kishashu, Y M AU - Franzblau, A AU - Robins, T AU - Smith, G TI - Use of data linkage in developing injury surveillance system in Tanzania AID - 10.1136/ip.2010.029215.417 DP - 2010 Sep 01 TA - Injury Prevention PG - A116--A116 VI - 16 IP - Suppl 1 4099 - http://injuryprevention.bmj.com/content/16/Suppl_1/A116.3.short 4100 - http://injuryprevention.bmj.com/content/16/Suppl_1/A116.3.full SO - Inj Prev2010 Sep 01; 16 AB - Background Injury is one of the leading causes of death and disability in developing countries (Krug, 1999). Data on the impact of injuries on society have been non-existent in most developing countries, a situation likely to account for slow recognition of injuries as a public health problem by decision and policy-makers (Mock, 1995). This study, which was conducted in Tanzania, sought to describe patterns of severe traumatic work-related injuries; identify their causes and risk factors; evaluate the quality of reporting and recording work-related injuries and; identify strategies for their prevention and control in Tanzania and other developing countries. Methods Data were collected through structured interviews with 1385 injury cases admitted in the largest trauma hospital in Tanzania from March 2007 to March 2008. Detailed information was collected after work-relatedness of a case was established. Information from interviews was linked with hospital records, workers compensation and police data. Findings A total of 638 (46%) injury cases were classified as work-related injuries, and majority were male-workers (93%). Linkage identified 138 (10%) cases that were initially not identified as work-related. Based on minimum injury dataset, workers compensation data source had the most comprehensive injury dataset followed by hospital data source. Conclusions Systems in place for collecting and recording injury data, lack nationally agreed guidelines for defining, reporting and recording injury information among the injury data sources in Tanzania. Injury surveillance systems in low-income countries such as Tanzania could be developed using data linkages.