BACKGROUND: Management of the acute trauma patient is complex, with potential for error and adverse events. Avoidable injuries and deaths are not well understood. Analysis of error incidence, type, and severity can aid in greater understanding of the root causes and guide future development of error reduction strategies. METHODS: Weekly case review meetings for a UK trauma center were retrospectively reviewed over 1 year. Errors were identified and corroborated with case-note review by a reviewer blinded to any identified events. All events were classified according to the Joint Commission on Accreditation of Healthcare Organisations taxonomy and were typified as structural or process errors and omission or commission errors. RESULTS: A total of 1,752 major trauma patients were admitted over the study period, and 169 preventable errors were identified through analysis of case review meetings and case-note review. Clear patient harm was identified in 3.6 % of cases, with risk of harm in 30 %. Most errors occurred during the initial phase of care in the emergency department (51 %) and resulted most commonly in delays (56 %). The majority of errors were identified as process-related (88 %), with 62 % of them considered errors of omission. CONCLUSIONS: This study reports error incidence in trauma and typifies them according to type and root cause. It identifies process errors and errors of omission in particular as the most common recurring events. Error theory suggests that protocols or checklists may most effectively address these errors. Further study should be prospective and may aid in the development of such interventions.
BACKGROUND: Management of the acute traumapatient is complex, with potential for error and adverse events. Avoidable injuries and deaths are not well understood. Analysis of error incidence, type, and severity can aid in greater understanding of the root causes and guide future development of error reduction strategies. METHODS: Weekly case review meetings for a UK trauma center were retrospectively reviewed over 1 year. Errors were identified and corroborated with case-note review by a reviewer blinded to any identified events. All events were classified according to the Joint Commission on Accreditation of Healthcare Organisations taxonomy and were typified as structural or process errors and omission or commission errors. RESULTS: A total of 1,752 major traumapatients were admitted over the study period, and 169 preventable errors were identified through analysis of case review meetings and case-note review. Clear patient harm was identified in 3.6 % of cases, with risk of harm in 30 %. Most errors occurred during the initial phase of care in the emergency department (51 %) and resulted most commonly in delays (56 %). The majority of errors were identified as process-related (88 %), with 62 % of them considered errors of omission. CONCLUSIONS: This study reports error incidence in trauma and typifies them according to type and root cause. It identifies process errors and errors of omission in particular as the most common recurring events. Error theory suggests that protocols or checklists may most effectively address these errors. Further study should be prospective and may aid in the development of such interventions.
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Authors: Amber E Barnato; Heather E Hsu; Cindy L Bryce; Judith R Lave; Lillian L Emlet; Derek C Angus; Robert M Arnold Journal: Crit Care Med Date: 2008-12 Impact factor: 7.598
Authors: Sen Yang; Weiqing Ni; Xin Dong; Shuhong Chen; Richard A Farneth; Aleksandra Sarcevic; Ivan Marsic; Randall S Burd Journal: IEEE Int Conf Healthc Inform Date: 2018-07-26
Authors: Rachel B Webman; Jennifer L Fritzeen; JaeWon Yang; Grace F Ye; Paul C Mullan; Faisal G Qureshi; Sarah H Parker; Aleksandra Sarcevic; Ivan Marsic; Randall S Burd Journal: J Trauma Acute Care Surg Date: 2016-10 Impact factor: 3.313
Authors: Mark Fan; Andrew Petrosoniak; Sonia Pinkney; Christopher Hicks; Kari White; Ana Paula Siquiera Silva Almeida; Douglas Campbell; Melissa McGowan; Alice Gray; Patricia Trbovich Journal: BMJ Open Date: 2016-11-07 Impact factor: 2.692