Application of a Healthcare Failure Modes and Effects Analysis to Identify and Mitigate Potential Risks in the Implementation of a National Prehospital Pediatric Rapid Sequence Intubation Program.

INTRODUCTION: Rapid sequence intubation (RSI) has become the de facto airway method of choice in the emergency airway management of adult and pediatric patients. There is significant controversy regarding pediatric RSI in the prehospital setting, given not only the complexities inherent in both the procedure and patient population, but in variations in emergency medical service models, prehospital qualifications, scope of practice, and patient exposure too. METHODS: A Healthcare Failure Mode and Effects Analysis was conducted to identify and mitigate potential hazards in the national implementation of a prehospital pediatric RSI program. A process map and potential failure points were developed and identified. Probabilities, severity, and hazards scores were calculated for each failure point, and actions items developed to address these. RESULTS: One hundred four potential failure points were identified among 44 subprocesses, divided between nine major processes. In terms of severity, most were classified as either major (n = 39 [37.5%]) or catastrophic (n = 35 [33.7%]) with just more than half falling within the uncommon category (n = 56 [53.9%]) in terms of probability. Five strategic actions items were identified to mitigate against the failure points meeting criteria for action. To monitor the success of these, 11 quality and performance indicators were developed for concurrent implementation. CONCLUSIONS: The Healthcare Failure Mode and Effects Analysis represents a simple yet comprehensive first step toward risk analysis of complex procedures within the prehospital emergency care setting. Application of the methodology provided guidance for the consensus identification of hazards associated with prehospital pediatric RSI and appropriate actions to mitigate them.

Development of a trigger tool to identify adverse events and harm in Emergency Medical Services.

BACKGROUND: Adverse event(AE) detection in healthcare has traditionally relied upon several methods including: patient care documentation review, mortality and morbidity review, voluntary reporting, direct observation and complaint systems. A novel sampling strategy, known as the trigger tool (TT) methodology, has been shown to provide a more robust and valid method of detection. The aim of this research was to develop and assess a TT specific to ground-based Emergency Medical Services, to identify cases with the potential risk for adverse events and harm. METHODS: The study was conducted between March and December 2015. A literature review identified 57 potential triggers, which were grouped together by experts using an affinity process. Triggers for other areas of potential AE/harm were additionally considered for inclusion. An interim TT consisting of nine triggers underwent five iterative rounds of derivation tests of 20 random patient care records (n=100) in two emergency medical services. A final eight-item trigger list underwent a large sample (n=9836) assessment of test characteristics. RESULTS: The final eight-item TT consisted of triggers divided amongst four categories: Clinical, Medication, Procedural and Return-Call. The TT demonstrated an AE identification rate of 41.5% (sensitivity 79.8% (95% CI, 69.9% to 87.6%); specificity 58.5% (95% CI, 52% to 64.8%)). When identifying potential risk for harm, the TT demonstrated a harm identification rate of 19.3% (sensitivity 97.1% (95% CI, 84.7% to 99.9%); specificity 53.5% (95% CI, 47.7% to 59.3%)). DISCUSSION: The Emergency Medical Services Trigger Tool (EMSTT) may be used as a sampling strategy similar to the Global Trigger Tool, to identify and measure AE and harm over time, and monitor the success of improvement initiatives within the Emergency Medical Services setting.