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An analysis of near misses identified by anesthesia providers in the intensive care unit

Overview of attention for article published in BMC Anesthesiology, June 2015
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Title
An analysis of near misses identified by anesthesia providers in the intensive care unit
Published in
BMC Anesthesiology, June 2015
DOI 10.1186/s12871-015-0075-z
Pubmed ID
Authors

Angela K.M. Lipshutz, James E. Caldwell, David L. Robinowitz, Michael A. Gropper

Abstract

Learning from adverse events and near misses may reduce the incidence of preventable errors. Current literature on adverse events and near misses in the ICU focuses on errors reported by nurses and intensivists. ICU near misses identified by anesthesia providers may reveal critical events, causal mechanisms and system weaknesses not identified by other providers, and may differ in character and causality from near misses in other anesthesia locations. We analyzed events reported to our anesthesia near miss reporting system from 2009 to 2011. We compared causative mechanisms of ICU near misses with near misses in other anesthesia locations. A total of 1,811 near misses were reported, of which 22 (1.2 %) originated in the ICU. Five causal mechanisms explained over half of ICU near misses. Compared to near misses from other locations, near misses from the ICU were more likely to occur while on call (45 % vs. 19 %, p = 0.001), and were more likely to be associated with airway management (50 % vs. 12 %, p < 0.001). ICU near misses were less likely to be associated with equipment issues (23 % vs. 48 %, p = 0.02). A limited number of causal mechanisms explained the majority of ICU near misses, providing targets for quality improvement. Errors associated with airway management in the ICU may be underappreciated. Specialist consultants can identify systems weaknesses not identified by critical care providers, and should be engaged in the ICU patient safety movement.

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Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 2%
Unknown 43 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 25%
Researcher 9 20%
Other 5 11%
Student > Postgraduate 4 9%
Student > Doctoral Student 3 7%
Other 9 20%
Unknown 3 7%
Readers by discipline Count As %
Medicine and Dentistry 18 41%
Nursing and Health Professions 15 34%
Social Sciences 2 5%
Agricultural and Biological Sciences 1 2%
Environmental Science 1 2%
Other 1 2%
Unknown 6 14%