• Prehosp Disaster Med · Nov 2010

    Introduction of a prehospital critical incident monitoring system--final results.

    • Julian Stella, Bruce Bartley, and Paul Jennings.
    • Geelong Hospital Emergency Department, Barwon Health, Victoria, Australia. julianst@barwonhealth.org.au
    • Prehosp Disaster Med. 2010 Nov 1;25(6):515-20.

    BackgroundIncident monitoring has been shown to improve patient care and has been adopted widely in the hospital care setting. There are limited data on incident monitoring in the prehospital setting.HypothesisA high-yield, systems-oriented, incident monitoring process can be implemented successfully in a prehospital setting.MethodsThis prospective, descriptive study outlines the implementation of an incident monitoring process in a regional prehospital setting. Both trauma care and non-trauma care were monitored by a system of anonymous reporting and chart review with debriefing for trauma cases that met major trauma criteria. A committee reviewed all identified cases and coded and logged all incidents and provider recommendations.ResultsThere were 454 incidents identified from 230 cases (mean=2.0; 95% CI 1.8-2.1 per case). Anonymous reporting resulted in the identification of 113 incidents from 69 cases (1.6l per case 95% CI=1.4-1.9 per case) Major trauma cases generated 266 incidents from 134 cases (mean=2.0; 95% CI=1.8-2.2 per case), and there were 74 incidents from 26 combined cases (mean=2.9; 95% CI=2.2-3.5 per case). One incident was uncategorized. There were 315 (69.4%) incidents categorized as management problems and 123 (27.1%) were system problems. Prolonged scene time was the most common incident in both management and system categories; 56 (17.8%) and 18 (14.6%) respectively. Mitigating circumstances were found in 111 (24.4%) incidents. The most common incident-related patient outcome was none/near miss (127 (28%)). Incident monitoring most commonly led to generalized feedback (105 (23.1%)) or specific trend analysis (140 (30.8%)). Reports to higher or external bodies occurred in 18 incidents (4.0%).ConclusionsThe project has been implemented successfully in a regional prehospital settling. The methodology, utilizing a number of incident detection techniques, results in a high yield of incidents over a broad range of error types. The large proportion of "near miss" type incidents allows for incident assessment without demonstrable patient harm. Many incidents were mitigated and the majority represented management-type issues.

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