Geoclinical analyses for areas at high risk for motorcycle-related road traffic injury in a district in Malaysia
Objective: The goal of this prospective cross-sectional study was particularly to collect data on the epidemiology, the pattern of injury among motorcyclists and to relate with spatial data in a local district. Methods: It involved data collection from prehospital care and inhospital care record. In addition, it utilized geospatial ARCGIS ® version 10.1 software in the identification of hotspot location of road traffic injury. Written informed consent was obtained from patient(s) or relatives for their anonymized information to be published in any article. Results: A total of 439 cases were recruited over 10 months. The mean age (standard deviation) of the motorvehicle crash victims was 26.04 (15.26) years. Male comprised 302 (73.3%) of the cases. A total of 176 (42.7%) of the victims were between the ages of 20–40 years. A total of 176 (42.7%) of the motorcyclists admitted were wearing the safety helmets either from the history taking or from the witness. A total of 117 (28.4%) and 28 (6.8%) of the victims were admitted to the general wards and critical care units, respectively for further management. The mean (standard deviation) length of hospital stays was 7.19 (6.94) days. Based on hotspot mapping using ARCGIS 10.1, most of the motorvehicle crash cases occurred mainly within the specific borough. This finding concurred with the locations of the state roads involved that traversed mainly within the same borough. Further geospatial and temporal analysis showed that most of the motorvehicle crash that occurred during the weekend were located within the suburban areas. Conclusion: Motorcyclists, being male and young age are the vulnerable group of road users commonly injured on our road. The initial geospatial analysis of injury-related motorvehicle crash cases has shown common hotspot trending along certain roads and borough within the district. This new knowledge can be used in the future for preventive and road safety programs in high-risk areas.