A multi-sectoral approach to capture information on road traffic injuries

• Main Authors: Menon Geetha, Gururaj G, Tambe M, Shah B
• Format: Article
• Language: English
• Published: Wolters Kluwer Medknow Publications 2010-01-01
• Series: Indian Journal of Community Medicine
• Subjects: Multi-sectoral; stakeholders; surveillance
• Online Access: http://www.ijcm.org.in/article.asp?issn=0970-0218;year=2010;volume=35;issue=2;spage=305;epage=310;aulast=Menon

<b>Background:</b> Regularly available data is shown to be inadequate for developing, implementing, and evaluating injury prevention and control programs in India. The present study was undertaken in the hospitals of Bangalore and Pune, to examine the feasibility of gathering information on injuries using multiple sources. <b>Materials and Methods:</b> Stakeholders meeting and training programs were held for the hospital staff, police personnel, and traffic and transport staff, to identify their roles and responsibilities. Prospective data on morbidity and mortality due to injuries were collected by trained staff from Emergency Departments on a pre-tested questionnaire. The information gathered was cross-checked with the hospital and police records. <b>Results:</b> The stakeholders meeting and training programs were able to motivate the departments to provide the correct data. Data on 32188 patients could be extracted from hospital and police records during the study period. Injuries accounted for 16&#x0025; of the emergency cases. Unintentional injuries were 64&#x0025;, and 32&#x0025; were intentional. Road traffic injuries accounted for 44&#x0025; of all the injuries. One-third of the injured were children and young adults below 25 years. Among the injured, two wheeler riders were 29&#x0025; and pedestrians were 23&#x0025;. <b>Conclusion:</b> It was possible to improve the data on injuries by adequate training and a data linking mechanism between the Police, Hospital, and Transport Departments. The problem of road traffic injuries could be highlighted and addressed by a good data capture mechanism.