Evaluation of quality of care in trauma patients using international scoring systems

Objective: To evaluate the ability of the TRISS and P514 models to predict mortality rates in our medical system and population. Design: A retrospective observational study was carried out over a 66-month period. Background: The study was conducted in the Trauma Intensive Care Unit (ICU) of a third level hospital. Patients: All severe trauma patients (Injury Severity Score > 16 and/or Revised Trauma Score < 12) aged > 14 years were included. Variables of interest: Medical care data were prospectively recorded. The "W" statistic (difference between expected and observed mortality for every 100 patients) and its significance were calculated for each model. Discrimination and calibration were evaluated by means of receiver operating characteristic (ROC) curves, and the Hosmer-Lemeshow test and GiViTI calibration belt, respectively. Results: A total of 1240 patients were included. Survival at hospital discharge was 81.9%. The "W" scores for the TRISS, TRISS 2010 and PS14 models were + 6.72 (P <.01), +1.48 (P=.08) and +2.74 (P<.01) respectively. Subgroup analysis revealed significant favorable results for some populations. The areas under the ROC curve for the TRISS, TRISS 2010 and PS14 models were 0.915, 0.919 and 0.914, respectively. There were no significant differences among them (P>.05). Both the Hosmer-Lemeshow test and GiViTI calibration belt demonstrated poor calibration for the three models. Conclusions: These models are suitable tools for assessing quality of care in a Trauma ICU, affording excellent discrimination but poor calibration. In our institution, survival rates higher than expected were observed. (C) 2019 Elsevier Espana, S.L.U. y SEMICYUC. All rights reserved.