Comparación de la herramienta Trigger con el conjunto mínimo básico de datos (CMBD) para la detección de eventos adversos en cirugía general

  1. A.I. Pérez Zapata 1
  2. M. Gutiérrez Samaniego 2
  3. E. Rodríguez Cuéllar 3
  4. A. Gómez de la Cámara 4
  5. P. Ruiz López 5
  1. 1 Servicio de Cirugía General, Hospital Universitario Miguel Servet, Zaragoza, España
  2. 2 Servicio de Cirugía General, Hospital Universitario Torrejón, Torrejón de Ardoz, España
  3. 3 Servicio de Cirugía General, Hospital Universitario 12 de Octubre, Madrid, España
  4. 4 Unidad de Investigación Clínica, Hospital Universitario 12 de Octubre, CIBER-Epidemiología y Salud Pública, Madrid, España
  5. 5 Unidad de Calidad, Hospital Universitario 12 de Octubre, Madrid, España
Journal:
Revista de calidad asistencial

ISSN: 1134-282X

Year of publication: 2017

Volume: 32

Issue: 4

Pages: 209-214

Type: Article

DOI: 10.1016/J.CALI.2017.01.001 DIALNET GOOGLE SCHOLAR lock_openOpen access editor

More publications in: Revista de calidad asistencial

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Abstract

Introduction Surgery is a high risk for the occurrence of adverse events (AE). The main objective of this study is to compare the effectiveness of the Trigger tool with the Hospital National Health System registration of Discharges, the minimum basic data set (MBDS), in detecting adverse events in patients admitted to General Surgery and undergoing surgery. Material and methods Observational and descriptive retrospective study of patients admitted to general surgery of a tertiary hospital, and undergoing surgery in 2012. The identification of adverse events was made by reviewing the medical records, using an adaptation of “Global Trigger Tool” methodology, as well as the (MBDS) registered on the same patients. Once the AE were identified, they were classified according to damage and to the extent to which these could have been avoided. The area under the curve (ROC) were used to determine the discriminatory power of the tools. The Hanley and Mcneil test was used to compare both tools. Results AE prevalence was 36.8%. The TT detected 89.9% of all AE, while the MBDS detected 28.48%. The TT provides more information on the nature and characteristics of the AE. The area under the curve was 0.89 for the TT and 0.66 for the MBDS. These differences were statistically significant (P<.001). Conclusions The Trigger tool detects three times more adverse events than the MBDS registry. The prevalence of adverse events in General Surgery is higher than that estimated in other studies.