R Kaibel Val1, P Ruiz López2, A I Pérez Zapata3, A Gómez de la Cámara4, F de la Cruz Vigo5. 1. Clínica Hospital Povisa, Vigo, España. 2. Unidad de Calidad, Hospital Universitario 12 de Octubre, Madrid, España. 3. Servicio de Cirugía General y del Aparato Digestivo, Hospital Universitario 12 de Octubre, Madrid, España. Electronic address: zgzana83@hotmail.com. 4. Unidad de Apoyo a la Investigación, Hospital Universitario 12 de Octubre, Madrid, España. 5. Servicio de Cirugía General y del Aparato Digestivo, Hospital Universitario 12 de Octubre, Madrid, España.
Abstract
OBJECTIVES: To compare the ability of the trigger tool) and the Minimum Basic Data Set (MBDS) in detecting adverse events (AE) in hospitalized surgical patients with thyroid and parathyroid disease. METHODS: A descriptive, cross-sectional observational study, retrospective and cross-sectional study was conducted from May 2014 to April 2015 analysing retrospectively data on of patients submitted to thyroidectomy and parathyroidectomy in order to detect AE through the identification of triggers (an event often associated to an AE) and the MBDS. triggers and AE were located by systematic review of clinical documentation. The MBDS was got from the data base. Once an AE was detected, it was characterized. RESULTS: 203 AE were identified in 251 patients, being the 90.04% detected by trigger tool and 10.34% by MBDS. 126 patients had at least one AE (50.2%). Without the cases in which uncontrolled pain was the only AE, the percentage of patients that suffering AE was 38.65%. 187 AE were considered preventable and 16 AE were considered unpreventable. The trigger tool and the MBDS demonstrated a sensitivity of 91.27 and 13.49%, a specificity of 4.8 and 100%, a positive predictive value of 49,15 and 100%, and a negative predictive value of 35.29 and 53.42%, respectively. The triggers with more predictive power in AE detection were «antiemetic administration» and «calcium administration». CONCLUSIONS: Trigger tool shows higher sensitivity for detecting AE than the MBDS. All the detected AE were considered low severity and most of them were preventable.
OBJECTIVES: To compare the ability of the trigger tool) and the Minimum Basic Data Set (MBDS) in detecting adverse events (AE) in hospitalized surgical patients with thyroid and parathyroid disease. METHODS: A descriptive, cross-sectional observational study, retrospective and cross-sectional study was conducted from May 2014 to April 2015 analysing retrospectively data on of patients submitted to thyroidectomy and parathyroidectomy in order to detect AE through the identification of triggers (an event often associated to an AE) and the MBDS. triggers and AE were located by systematic review of clinical documentation. The MBDS was got from the data base. Once an AE was detected, it was characterized. RESULTS: 203 AE were identified in 251 patients, being the 90.04% detected by trigger tool and 10.34% by MBDS. 126 patients had at least one AE (50.2%). Without the cases in which uncontrolled pain was the only AE, the percentage of patients that suffering AE was 38.65%. 187 AE were considered preventable and 16 AE were considered unpreventable. The trigger tool and the MBDS demonstrated a sensitivity of 91.27 and 13.49%, a specificity of 4.8 and 100%, a positive predictive value of 49,15 and 100%, and a negative predictive value of 35.29 and 53.42%, respectively. The triggers with more predictive power in AE detection were «antiemetic administration» and «calcium administration». CONCLUSIONS: Trigger tool shows higher sensitivity for detecting AE than the MBDS. All the detected AE were considered low severity and most of them were preventable.
Keywords:
Adverse event; Cirugía general; Conjunto Mínimo de Datos Básicos; Evento adverso; General surgery; Herramienta trigger; Minimum Basic Data Set; Patient safety; Seguridad del paciente; Trigger tool
Authors: Ana Isabel Pérez Zapata; Elías Rodríguez Cuéllar; Marta de la Fuente Bartolomé; Cristina Martín-Arriscado Arroba; María Teresa García Morales; Carmelo Loinaz Segurola; Manuel Giner Nogueras; Ángel Tejido Sánchez; Pedro Ruiz López; Eduardo Ferrero Herrero Journal: Patient Saf Surg Date: 2022-02-08
Authors: Luisa C Eggenschwiler; Anne W S Rutjes; Sarah N Musy; Dietmar Ausserhofer; Natascha M Nielen; René Schwendimann; Maria Unbeck; Michael Simon Journal: PLoS One Date: 2022-09-01 Impact factor: 3.752