DEVELOPING A MINIMUM DATA SET FOR AN INFORMATION MANAGEMENT SYSTEM TO STUDY TRAFFIC ACCIDENTS IN IRAN

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MOHAMMADI ALI; AHMADI MARYAM; GHARAGOZLU ALIREZA

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

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Journal: Iranian Red Crescent Medical Journal Year:2016 | Volume:18 | Issue:3 Page(s): 0-0

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Title

DEVELOPING A MINIMUM DATA SET FOR AN INFORMATION MANAGEMENT SYSTEM TO STUDY TRAFFIC ACCIDENTS IN IRAN

Author(s)

MOHAMMADI ALI | AHMADI MARYAM | GHARAGOZLU ALIREZA | Issue Writer Certificate

Keywords

ACCIDENTS

TRAFFIC

TRAUMA CENTERS

EMERGENCIES

Abstract

Background: Each year, around 1.2 million people die in the road TRAFFIC incidents. Reducing TRAFFIC ACCIDENTS requires an exact understanding of the risk factors associated with TRAFFIC patterns and behaviors. Properly analyzing these factors calls for a comprehensive system for collecting and processing accident data.Objectives: The aim of this study was to develop a minimum data set (MDS) for an information management system to study TRAFFIC ACCIDENTS in Iran.Materials and Methods: This descriptive, cross-sectional study was performed in 2014. Data were collected from the TRAFFIC police, TRAUMA CENTERS, medical emergency centers, and via the internet. The investigated resources for this study were forms, databases, and documents retrieved from the internet. Forms and databases were identical, and one sample of each was evaluated. The related internet-sourced data were evaluated in their entirety. Data were collected using three checklists. In order to arrive at a consensus about the data elements, the decision Delphi technique was applied using questionnaires. The content validity and reliability of the questionnaires were assessed by experts’ opinions and the test-retest method, respectively.Results: An (MDS) of a TRAFFIC accident information management system was assigned to three sections: a minimum data set for TRAFFIC police with six classes, including 118 data elements; a trauma center with five data classes, including 57 data elements; and a medical emergency center, with 11 classes, including 64 data elements.Conclusions: Planning for the prevention of TRAFFIC ACCIDENTS requires standardized data. As the foundation for crash prevention efforts, existing standard data infrastructures present policymakers and government officials with a great opportunity to strengthen and integrate existing accident information systems to better track road TRAFFIC injuries and fatalities.

Cites

A GLOBAL COMPARISON OF DEMENTIA AND ALZHEIMER DISEASE REGISTRIES: A SYSTEMATIC REVIEW

References

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APA: Copy

MOHAMMADI, ALI, AHMADI, MARYAM, & GHARAGOZLU, ALIREZA. (2016). DEVELOPING A MINIMUM DATA SET FOR AN INFORMATION MANAGEMENT SYSTEM TO STUDY TRAFFIC ACCIDENTS IN IRAN. IRANIAN RED CRESCENT MEDICAL JOURNAL (IRCMJ), 18(3), 0-0. SID. https://sid.ir/paper/293192/en

Vancouver: Copy

MOHAMMADI ALI, AHMADI MARYAM, GHARAGOZLU ALIREZA. DEVELOPING A MINIMUM DATA SET FOR AN INFORMATION MANAGEMENT SYSTEM TO STUDY TRAFFIC ACCIDENTS IN IRAN. IRANIAN RED CRESCENT MEDICAL JOURNAL (IRCMJ)[Internet]. 2016;18(3):0-0. Available from: https://sid.ir/paper/293192/en

IEEE: Copy

ALI MOHAMMADI, MARYAM AHMADI, and ALIREZA GHARAGOZLU, “DEVELOPING A MINIMUM DATA SET FOR AN INFORMATION MANAGEMENT SYSTEM TO STUDY TRAFFIC ACCIDENTS IN IRAN,” IRANIAN RED CRESCENT MEDICAL JOURNAL (IRCMJ), vol. 18, no. 3, pp. 0–0, 2016, [Online]. Available: https://sid.ir/paper/293192/en

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