Slips, Trips, and Falls: A Quality Improvement Initiative.

Employee safety and the reduction of Days Away, Restricted, or Transferred are a focus of the Solutions for Patient Safety Network. One significant contributor to the Days Away, Restricted, or Transferred rate at Children's National Hospital is employee slips, trips, or falls. Methods: Children's National Hospital implemented a multidisciplinary quality improvement with executive leadership vision and support. We implemented quality techniques (including Key Driver Diagrams, Pareto Charts, and continuous Plan-Do-Study-Act) and designed novel Environmental Services interventions. Results: Children's National Hospital achieved a 44.3% reduction in monthly average reported slips, trips, or fall events from baseline and sustained over a 2-year study period. Conclusion: A leadership-driven multidisciplinary approach to quality initiatives with team leaders capable of making and enacting real-time policy changes led to novel interventions and a successful reduction of employee slips, trips, and falls events over time, which are broadly generalizable.

Improving Accuracy and Timeliness of Nursing Documentation of Pediatric Early Warning Scores.

INTRODUCTION: Accurate and timely documentation of pediatric early warning scores (PEWS) by the bedside nurse into the electronic health record (EHR) is important to promote early identification of patients in stages of deterioration. Through the implementation of a PEWS calculator embedded in the EHR, we hope to improve the accuracy of the recorded score and reduce the time between vital sign collection and final documentation in the EHR. METHODS: Identification of the highest PEWS value in the 24 hours before all unplanned transfers or rapid response activations without a transfer occurred between the period November 1, 2013, through December 31, 2016. The accuracy of the calculated cardiac or respiratory subscore based on heart rate or the respiratory rate at the time of PEWS calculation was determined. We tracked the calculation of the time to chart via the difference between nursing documentation of PEWS compared to vital sign collection. Before September 3, 2015, PEWS was calculated mentally by the bedside nurse; afterward, the nurse entered the unique PEWS features into the EHR, and the EHR automatically calculated PEWS. RESULTS: This study evaluated 2,409 PEWS scores, 1,411 before and 998 after initiation of the PEWS calculator. Accuracy before the EHR calculator was 71%, and the median time to document was 55 minutes. Following the implementation of the calculator, no scores were incorrectly calculated too low, and the median time to document was 20 minutes. CONCLUSIONS: Transition to an EHR-based PEWS calculator eliminated inaccurately low PEWS values and reduced time to document.