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Developing a Minimum Data Set for an Information Management System to Study Traffic Accidents in Iran
Ali Mohammadi1, Maryam Ahmadi2, Alireza Gharagozlu3
1Department of Health Information Technology, Paramedical School, Kermanshah University of Medical Sciences, Kermanshah, IR Iran.
Developing a minimum data set (MDS) for traffic accident information management in Iran is crucial for understanding risk factors and preventing road fatalities. This standardized data approach supports policymakers in enhancing road safety initiatives.
Area of Science:
- Public Health
- Transportation Safety
- Information Management
Background:
- Road traffic incidents cause approximately 1.2 million deaths annually worldwide.
- Understanding traffic patterns and behaviors is essential for reducing accident rates.
- Comprehensive data collection and processing systems are needed to analyze accident risk factors.
Purpose of the Study:
- To develop a minimum data set (MDS) for a traffic accident information management system.
- The study focused on application within Iran.
Main Methods:
- A descriptive, cross-sectional study conducted in 2014.
- Data gathered from traffic police, trauma centers, medical emergency services, and online resources.
- The Delphi technique was used to achieve consensus on data elements, with content validity and reliability assessed.
Main Results:
- A minimum data set for a traffic accident information management system was established.
- The MDS includes specific data elements for traffic police (118), trauma centers (57), and medical emergency centers (64).
Conclusions:
- Standardized data is fundamental for effective traffic accident prevention planning.
- Integrating existing accident information systems offers an opportunity to improve tracking of road traffic injuries and fatalities.
- This data infrastructure can better inform policymakers and government officials on road safety strategies.
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