Quality Improvement Implementation and Maintenance of a Paediatric Early Warning System

Abstract

Background: Paediatric Early Warning (PEW) systems have led to earlier identification and escalation of treatment with subsequent admission to Paediatric Intensive Care (PIC) in deteriorating children. The impact on reductions in cardiac arrest and mortality vary between the heterogeneous studies, showing both unchanged and reduced cardiac arrest, morbidity and mortality. Identifying and managing critical illness on wards is a complex and dynamic process involving technology, human interaction, cultural context and environment. We introduced a PEW system to reduce potentially avoidable cardiac arrest and death.Methods: We report an Implementation Science Quality Improvement (QI) natural experiment using the Medical Research Councils (MRC) Guidelines for Developing and Evaluating Complex Interventions, Action Research, Action Research Theory and methods. The aim of this program was to identify learning, refinement and improvement opportunities to reduce poor outcomes. The interventions were 1) developing an observation and monitoring policy to standardise practice and provide a template for optimal care, 2) standardized charting with an embedded PEW score, 3) clinical skills training, 4) clinical process audit and feedback and 5) outcome surveillance.The process measures were 1) timeliness and impact for unplanned Paediatric Intensive Care (PIC) admissions, 2) clinical assessment skills and 3) chart completion compliance. The outcome measures included 4) total and predictable cardiac arrests and 5) hospital mortality. Data collection started in 2004, the PEW system was implemented in 2008, and the outcomes were reported through 2018.Results: In our specialist children’s hospital, we completed six improvement cycles over 10 years. 1) Timely PIC admissions improved after implementation (39% to 92%). Patients with unplanned PIC admissions had significantly lower severity of illness and mortality but a longer length of stay. 2) Routine clinical observation accuracy improved (66 to 82%) following multimodal training. 3) Chart completion compliance improved (87 to 99%). In 2018, 2% of observations had missing or inaccurate parameters with a consequent inaccurate total PEW score. 4) The total cardiac arrest rate was significantly reduced (0.36 to 0.16 per 1000 admissions). The small numbers of predictable cardiac arrests showed a decreasing trend. 5) Hospital mortality was significantly reduced (3.46 to 2.24 per 1000 admissions). Outcomes improved approximately 18 months after implementation and have not changed significantly since 2010 despite increasing critical care resources in and out of PIC. The impact of the PEW system on these outcomes is possible but not conclusive.Conclusion: Implementation of the PEW system as a complex intervention using QI methods is associated with improved clinical skill accuracy, chart compliance and detection of deterioration associated with more timely unplanned PIC admissions. These improvements were associated with a significant reduction in cardiac arrest and mortality.