An Integrated Data Management Model for the Road Traffic Injury Surveillance System's in Developing Countries

Abstract

The road traffic injuries are among the serious problems of the public health that occur mainly in low - and middle income countries. The prerequisite for improving the status of traffic accidents is a comprehensive data collection system that is managed correctly. The present study is a descriptive-applied one conducted to provide an integrated data management model for the road traffic injury surveillance system's in East Azerbaijan Province in 2017. By using a comparative study, the road traffic injury surveillance systems of six countries including Malaysia, Egypt, the United States, Italy, Peru, and Iran were studied. A questionnaire including the main management pivots of road traffic injury surveillance system was prepared and it was surveyed among twenty traffic health specialists through a Delphi method. Based on the comparative study of the road traffic injury surveillance system in different countries, traffic police, emergency department, hospital, legal medicine, and insurance are introduced as five data sources. Moreover, the integrated data management of road traffic injury surveillance system's was provided in five pivots including the minimum data sets of the road traffic injury surveillance system, data classification method, data collecting, data restoring, and data distribution of road traffic injury surveillance system. For reducing traffic accidents and the consequences arising from them, a surveillance system of the local and national traffic accidents had better to be established so that it will be possible to root the problems and implement preventive plans for the road traffic injury through accessing the integrated data.