Introduction: Patient safety is increasingly becoming a major priority for healthcare institutions, and various models of these rounds exist. The Ottawa M&M Model (OM3) is a structured and standardized approach to patient safety and quality improvement rounds that has been implemented at other institutions across Canada with good success.
Methods: This quality improvement project invited divisions within the Children's Hospital in London, Ontario to participate in the implementation of the OM3 for M&M rounds.
Objectives: In children, peripheral intravenous catheters (PIVs) are maintained by either a continuous infusion of fluid "to keep vein open" (TKO) or a saline lock (SL). There is a widespread perception that TKO prolongs PIV patency, but there is a lack of evidence for this. We hypothesized that there would be no significant difference in duration of PIV patency between TKO and SL.
View Article and Find Full Text PDFIntroduction: Trauma centres are required to continuously measure, evaluate and improve care. Severe traumatic brain injury (sTBI) patients are highly susceptible to adverse events (AE; unintended, potentially harmful events resulting from health care) due to their unstable condition requiring high risk interventions, multiple medications and invasive monitoring. Objectives were to describe: (1) a process for identifying AE in pediatric sTBI patients to identify safety risks, target and implement evidence-based prevention strategies; and (2) a tertiary care PICU's sTBI AE experience.
View Article and Find Full Text PDFBackground: The requirement for a tracheostomy in children is associated with significant morbidity, mortality, and healthcare utilization. Easy identification of children with tracheostomies would facilitate important research on this population and provide quality improvement initiatives.
Aim: The purpose of this study is to determine whether an algorithm of diagnostic and procedural codes can accurately identify children hospitalized with a tracheostomy using routinely collected health data.