Introduction: Accurate provisional diagnosis in the Emergency Department (ED) is important as it has a significant impact on safety. It also affects the patients’ treatment, length of stay and cost of treatment. The data on the accuracy of making diagnosis made by ED doctors is scarce and most results vary with different countries. This study was conducted to evaluate the accuracy of the diagnosis made by the ED doctors in Hospital Universiti Sains Malaysia (USM) and the factors contributed to the discrepancy. Method: This was a retrospective cross-sectional study conducted in Hospital USM from May 2016 to December 2017. Medical records of the patients who were admitted to the hospital were selected using simple random sampling methods. The folders were reviewed and the association within the categorised diagnosis accuracy was analysed using the ICD-10 classification. The sample size was 180 cases, and cases were divided into two main categories. The factors associated with the unmatched diagnosis from both patients and provider were then measured using multiple logistic regressions. Results: Hospital USM Emergency Department had 15.6 per cent of unmatched diagnosis and 84.4 per cent of matched diagnosis. No difference between age and gender in making accurate diagnosis. The odds of having unmatched diagnosis in patients from the green zone are 4.2 times higher compared to the red zone. Conclusion: ED Hospital USM has a high diagnostic accuracy, especially involving the patients in red zone and yellow zone.

This study aims to determine ambulance response time in KubangKerian district, Kelantan, Malaysia using Ambulance Vehicle Locator and Global Integrating System (AVL-GIS) device and the factors associated with delayed response time. This was a 6-months prospective, cross-sectional study conducted at Emergency and Trauma Department, Hospital Universiti Sains Malaysia (HUSM) in Kubang Kerian, Kelantan, Malaysia. The possible factors identified to have caused delayed ambulance response time from previous literature were included in this study. All prehospital cases from September 2017 until February 2018 attended to by AVL- GIS installed ambulances were included in this study. Data were obtained from the standardized prehospital Proforma forms and extracted from AVL-GIS using iGPS software. Simple and multiple logistic regression tests were used to determine the factors associated to delayed response time. From 505 cases, 75% found to be delayed case meanwhile 25% is non delayed case as defined in study protocol. Further analysis on delayed cases show that call duration, caller type, traffic condition, travelling time and team allocation time were associated with delayed ambulance response time. Evaluation of each component contributing to delayed ambulance response time is needed for intervention to improve prehospital care in the future.

Ambulance response time is one of the key performance of ambulances services. The objective of this study is to determine the factors associated with delayed ambulance response time in Hospital Universiti Sains Malaysia (HUSM). This was a cross sectional study conducted in Department of Emergency Medicine, Hospital Universiti Sains Malaysia (EDHUSM) between January 2016 to January 2017. A total of 300 ambulance calls were included in our analysis. Data were collected by ambulance paramedic using validated ambulance form. All ambulance forms with missing data were excluded from this study. Of the 300 ambulance calls within the study periods, 254 cases (84.7%) were determined to have delayed ambulance response time. Current ambulance response time is 14 minutes with interquartile range of 5 minutes. Factors which showed significant association delayed ambulance response time include distance from hospital, location, type of emergency and ambulance mechanism. The odd of delayed ambulance response time by every increase in distance unit was 1.59 (95% CI, 1.37 to 1.85). For location type, the odd of delayed ambulance response time for public location as compared to road was 0.13 (95% CI, 0.04 to 0.45). For ambulance mechanism, the odd of delayed ambulance response time for beacon type as compared to siren type was 0.22 (95% CI, 0.01 to 0.69). Further intervention should be initiated based on our findings to improve current ambulance response time.