A New Method for Evaluating Trauma Centre Outcome Performance
Notice bibliographique
Résumé
In Brief Objective: To develop a method of evaluating trauma center mortality that addresses the limitations of currently available methodology—Standardized Mortality Ratios (SMRs) based on the Trauma and Injury Severity Score. Summary of Background Data: TRISS SMRs have important limitations including inadequate risk adjustment, comparison to an inappropriate standard, lack of consideration for inter- and intrahospital variation, and incomparability across hospitals. Methods: The methodology was developed using data from a provincial trauma registry with mandatory participation of all trauma centers, uniform inclusion criteria, and standardized data collection methods. Institutional performance was described with estimates of risk-adjusted mortality derived from a hierarchical logistic regression model. Risk adjustment was performed with a risk score generated by the Trauma Risk Adjustment Model (TRAM), as well as a term for incoming transfers and an interaction between transfer and the risk score. Outliers were identified by comparing each hospital to all remaining hospitals. Results: The study population comprised 88,235 patients including 4731 deaths (5.4%) from 59 trauma centers. Crude mortality varied between 1.3% and 14.3%. TRAM-adjusted mortality estimates varied between 3.7% (95% CI: 3.2%–4.3%) and 6.9% (5.8%–8.2%). Three trauma centers had significantly higher adjusted mortality and one center had statistically significant lower mortality when compared with all other centers. Conclusions: The proposed method of trauma center profiling offers comprehensive adjustment for patient-level risk factors and consideration of transfer status, is based on comparisons to an internal standard, accounts for inter- and intrahospital variation, and replaces SMRs with estimates of regression-adjusted mortality that are comparable across hospitals. TRAM-adjusted mortality estimates can be used to describe institutional outcome performance and to identify institutional outliers. Such information is the key to identiyfing ways to improve the quality of modern trauma care. This study proposes a new method for evaluating trauma center performance that addresses major limitations of current methodology—Trauma and Injury Severity Score standardized mortality ratios. Trauma Risk Adjustment Model-adjusted mortality estimates are based on comprehensive adjustment for patient-level risk factors, correction for selection bias because of interhospital transfers, and a hierarchical regression model that addresses regression to the mean bias and the problem of multiple comparisons. These estimates can be used to describe institutional performance and to identify hospital outliers. Such information is the key to improving the quality of modern trauma care.
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Prédiction distillée sur la base complète
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Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
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