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

Author Name(s): Shahla Damanabi, Jila Khameneian, Nahid Mohamad Alinejad Pishkar*
Author Email:

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.

Introduction

The road traffic   injuries are among serious problems of the public health [1, 2]. On average, around 1.2 million deaths and nearly 50 million injuries every year in worldwide [3]. Most of the deaths and injuries occur in low or middle income countries [4]. It is predicted that the road traffic injuries will have been the third leading cause of the disability–adjusted life years by 2030 [5]. The road traffic injuries in Iran are twenty times higher than industrialized countries and five times higher than countries being in the same level of development as Iran [6] According to the World Health Organization, a major limitation to decrease this burden is the lack of data management to provide comprehensive data [1]. The developed countries have managed to reduce the mortality caused by these injuries through giving priority to collecting data on those injured in traffic accidents [7]. In fact, the prerequisite of improving the situation of traffic accidents and injury prevention is a comprehensive data collection system on mortality and injuries [7]. Accurate and timely data and effective communication have an important role to adequately prepare individual health organizations for emergency events [8]. The road traffic injury surveillance system need to minimum data set of adequate details to identify the factors and select the preventive measures needed [9]. In countries where traffic problems have been solved, generally an authorized institution is responsible for planning and directing the activities to reduce accidents, and all organization are collaborating with this institution [10]. In Iran, the data collection systems in each organization are independently, incomplete and overlap with data collected by other organizations. However, one of the basic needs of planning for prevention of traffic accidents is that road traffic injury data collecting accuracy and correctly [11]. The successful development of a preventive strategy toward traffic accidents depends, on the data management [12]. At present, the data collected in the country not provide the national data needs nor conform to the recommendations of the World Health Organization [13]. Given the importance of collecting valid data to reducing traffic accidents in our country, the present study was conducted to provide an integrated data management model for road traffic injury surveillance system.

Conclusion

In the present study, the integrated data management model for the road traffic injuries surveillance system was suggested through five pivots. For reducing the road traffic deaths and injuries as well as the consequences arising from them, it is recommended to establish the local and national road traffic injury surveillance system so that an important step is taken towards care improvement and road traffic deaths and injuries control and prevention by accessing the integrated data.

References

1. Puello A, Bhatti J, Salmi L-R. Feasibility of road traffic injury surveillance integrating police and health insurance data sets in the Dominican Republic. Revista panamericana de salud publica. 2013; 34(1):41-6.

2. Mustaffa AA, Hokao K. Datbase DevelopmentE of Road Traffic Accident Case Study Johor Bahru, Malaysia. Journal of Society for Transportation and Traffic Studies. 2012; 3(1):1-8.

3. Karamira C, Bhatti JA, editors. Comparing Police-and Health Authority-Based Road Traffic Injury Surveillance Systems in Ulaanbaatar, Mongolia. 16th International Conference Road Safety on Four Continents Beijing, China (RS4C 2013), 2013.

4. Medina YR, Espitia-Hardeman V, Dellinger AM, Loayza M, Leiva R, Cisneros G. A road traffic injury surveillance system using combined data sources in Peru. Revista panamericana de salud publica. 2011; 29(3):191-97.

5. Razzak JA, Shamim MS, Mehmood A, Hussain SA, Ali MS, Jooma R. A successful model of Road Traffic Injury surveillance in a developing country: process and lessons learnt. BMC public health. 2012; 12(1):357-65.

6. Ebrahim-Khani SAM, Shokohi A. Prediction and investigation of road accident factors using Data mining algorithms. Journal of Law Enforcement of Zanjan. 2011; 6(2):27-34.

7. Hatamabadi HR, Vafaee R, Haddadi M, Abdalvand A, Soori H. Necessity of an integrated road traffic injuries surveillance system: a community-based study. Traffic injury prevention. 2011; 12(4):358-62.

8. Hesam SS, Zaboli R. The state of the information and communication system of emergencies and accidents in the health system of the country. Health information management journal. 2011; 9(1):7-13.

9. Khorshidi A, Ainy E, Sabagh M, Soori H. Traffic injury data collection in Iran, challenges and solutions. Safety promotion and injury prevention. 2015; 3(1):35-42.

10. Soori H, Ainy E, Movahedinejad A, Mahfozphoor S, Vafaee R, Hatamabadi H. practical model of political mapping in road traffic injury in Iran in 2008. Hakim Research Journal. 2009; 12(3):1-9.

11. Hatamabadi HR, Akbarpur S, Soori.H. Comparison of reporting status of accidents and deaths by related organizations in Tehran axis Abalei. paiesh. 2013; 196(2):42-51.

12. Movahedi M, Aini E, Mehmandar M. Comparison of Traffic Disaster Information Presented by Important Information Sources in the Country with the Patterns Used by American and Asian Countries. 2011; 1(11):21-7.

13. Darabi M, Delpisheh A, Gholami Parizad E, Nematollahi M, Sharifian R. Designing the Minimum Data Set for Iranian Children’ Health Records. Journal of Ilam university of Medical Sciences. 2016; 24(1):114-25.

14. Puvanachandra P, Hoe C, El-Sayed H, Saad R, Al-Gasseer N, Bakr M, et al. Road traffic injuries and data systems in Egypt: addressing the challenges. Traffic injury prevention. 2012; 13(sup1):44-56.

15. Fakhrzad M, Fakhrzad N, Dehghani M. The role of electronic health records in presenting health information. Interdisciplinary Journal of Virtual Learning in Medical Sciences. 2012; 2(4):31-40.

 

453 total views, 1 views today

Download PDF File

About the author: admin