International Classification of External Causes of Injury: a cross sectional study on its coverage rate in Iran
Abstract Background Injuries are a major health issue worldwide and their prevention requires access to accurate statistics in this area. This can be achieved by using the data collected through the international classification systems. This study aimed at investigating the coverage rate of the International Classification of External Causes of Injury (ICECI) regarding the external causes of injury in Shahid Bahonar Hospital.Method This cross-sectional descriptive-analytical study was performed on 322 injured individuals visiting the emergency unit of Shahid Bahonar Hospital. The data were gathered through patients’ records, a designed form and interviews. The collected data were encoded based on the ICECI textbook by two encoders. Their agreement rate was calculated using the Kappa estimate of agreement. The coverage rate of the classification system and the degree of completeness of the required data for encoding in the patients’ records was measured. Data were analyzed by the SPSS software, ver. 19.Results The findings showed that 70% of the studied external causes of injury were covered by the ICECI system. Among the 322 cases, 138 (43%) had been referred due to car accidents. The injured were mostly drivers of land transport vehicles who had been unintentionally involved in a car accident. The least mechanism for injury was bite injury with 5 (2%) cases which had occurred at home or public transport with a similar rate and totally unintentional. ICECI was capable of classifying 92% of the data related to incident causes. The most incongruous coverage of this system belonged to the "activity when injured" axis (n=18). Lack of precise data recording in the medical files resulted in missing data in at least one of the axis of the incident causes in most records.Conclusion Given that some information regarding the external cause of injury was not categorized by the ICECI system, this research can identify the shortcomings of the system and help its developers to amend it in future revisions.