الفهرس 
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Abstract
Objectives: To describe pattern for occupational and non-occupational trauma cases attending selected, to calculate severity adjusted outcome measures for occupational and non-occupational trauma management (mortality and length of stay) and to test application of these measures in monitoring performance of trauma management.
Study setting: Emergency room of El Demerdash Surgical Hospital.
Subjects and methods: in the retrospective part, data were collected from the registry for 630 cases. As for the cross sectional part, data of 500 consecutively admitted patients were collected, where 16 patients were referred, thus data of 484 patients were included in the study. Four hundreds admitted patients were included consecutively in the prospective study. Equation was developed from the data of cross sectional study to standardize the length of stay according to patient’s age, ISS and RTS for the prospective part of the study.
Results: patients in the retrospective part had a mean age of 26.3 ± 18, where 14.8% of the injuries were occupational. June represented the highest frequency of injuries and fall was the most common mechanism. Twenty percent of the injuries were occupational in the cross sectional part with mean age of 40.1 ± 15.3. Fall (38.6%) and motor-car accident (MCA) (37.6%) are the most common mechanisms of injury and 85.7% were blunt injuries. About 75% of the studied sample were discharged from the hospital. Eighty percent had TRISS above 75 and the LOS of those who were discharged alive and who died after 48 hours from the studied sample (433) ranged from 1 to 7 days with a mean 2.8 ±1.5. A regression model was carried out to calculate the predicted LOS using patient’s age, ISS, RTS and type of injury. As for mortality, it was 21.2% for blunt injuries and 50.7% for penetrating injuries. The total predicted mortality of the TRISS was 8%, the predicted mortality of the designed model was 27% and the observed mortality was 25%. Four hundred cases were studied in the prospective part. Control charts for LOS were drawn and special cause points were detected and unexpected deaths were calculated to be 45%.
Conclusion: TRISS has some limitations to be used in our settings.