OBJECTIVES: To establish a preliminary list of critical incidents (CIs) associated with mechanical ventilation and to describe a CI reporting method. DESIGN: A list of CIs was established based on a consensus among ICU caregivers. The list was compared to CIs collected prospectively during a predefined study period. SETTING: The clinical observations were conducted in two intensive care units. PATIENTS: All patients receiving mechanical ventilation were included. MEASUREMENTS AND RESULTS: The list of CIs included death and 62 other CI types categorized as immediately life-threatening, secondarily life-threatening, or non-life-threatening. The observational study identified 527 CIs in 137 patients. Virtually all non-life-threatening CIs were ascribed to failure to comply with safety rules or to equipment failure and 40% of life-threatening CIs to the course of the disease or to patient-related factors. The match between CI types on the list and CI types observed in the ICUs was excellent. CONCLUSIONS: Use of our reporting method to create a CI database in a multicenter study including ICUs with varying recruitment patterns may help to identify markers suitable for routine continuous use as part of a quality-assurance program.
RCT Entities:
OBJECTIVES: To establish a preliminary list of critical incidents (CIs) associated with mechanical ventilation and to describe a CI reporting method. DESIGN: A list of CIs was established based on a consensus among ICU caregivers. The list was compared to CIs collected prospectively during a predefined study period. SETTING: The clinical observations were conducted in two intensive care units. PATIENTS: All patients receiving mechanical ventilation were included. MEASUREMENTS AND RESULTS: The list of CIs included death and 62 other CI types categorized as immediately life-threatening, secondarily life-threatening, or non-life-threatening. The observational study identified 527 CIs in 137 patients. Virtually all non-life-threatening CIs were ascribed to failure to comply with safety rules or to equipment failure and 40% of life-threatening CIs to the course of the disease or to patient-related factors. The match between CI types on the list and CI types observed in the ICUs was excellent. CONCLUSIONS: Use of our reporting method to create a CI database in a multicenter study including ICUs with varying recruitment patterns may help to identify markers suitable for routine continuous use as part of a quality-assurance program.
Authors: David Orlikowski; Tarek Sharshar; Raphael Porcher; Djillali Annane; Jean Claude Raphael; Bernard Clair Journal: Intensive Care Med Date: 2006-09-21 Impact factor: 17.440
Authors: Maité Garrouste-Orgeas; François Philippart; Cédric Bruel; Adeline Max; Nicolas Lau; B Misset Journal: Ann Intensive Care Date: 2012-02-16 Impact factor: 6.925
Authors: Plinio P Morita; Peter B Weinstein; Christopher J Flewwelling; Carleene A Bañez; Tabitha A Chiu; Mario Iannuzzi; Aastha H Patel; Ashleigh P Shier; Joseph A Cafazzo Journal: Crit Care Date: 2016-08-20 Impact factor: 9.097