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Development of a nurse‐assisted preanesthesia evaluation program for pediatric outpatient anesthesia
Author(s) -
Wittkugel Eric,
Varughese Anna
Publication year - 2015
Publication title -
pediatric anesthesia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.704
H-Index - 82
eISSN - 1460-9592
pISSN - 1155-5645
DOI - 10.1111/pan.12640
Subject(s) - medicine , perioperative , nurse anesthetist , quality management , medical emergency , patient safety , nursing , anesthesia , health care , operations management , management system , economics , economic growth
Summary Background Historically, anesthesiologists have conducted preanesthesia evaluation, but more recently, nurse practitioners ( NP s) are increasingly assisting with the preanesthesia evaluation of children. In the current economic environment for healthcare, strategies to provide superior outcomes and exceptional patient experience at the lowest possible cost are constantly being explored. We examined whether well trained nurses, working alongside NPs, could safely and effectively assist in preanesthesia evaluation. The aim of this quality improvement project was to implement a new model for preanesthesia evaluation for healthy outpatient pediatric patients: nurse‐assisted preanesthesia evaluation ( NAPE ). Methods Using quality improvement methods, Key Driver Diagrams and SMART aims gave direction for the training and clinical implementation of this new process. Using small tests of change and Plan‐Do‐Study‐Act cycles, we developed a training process and a stepwise process to integrate them into the clinical work flow. The primary outcome measure was the proportion of the total preanesthesia evaluations in which the Anesthesia Nurses assisted. To ensure quality and safety, data on balancing measures and quality metrics were collected. Results The weekly percentage of outpatients evaluated by Anesthesia Nurses increased from 0% to 55% within the first 4 months and was then sustained. The remaining patients were evaluated by the Anesthesia NP s. The balancing measures did not show any significant negative effect. Our perioperative quality metrics were also not changed significantly. Conclusion Using quality improvement methods, we successfully improved the utilization of staff resources by adding an Anesthesia Nurse‐assisted preanesthesia evaluation program alongside our NP s to provide outstanding preanesthesia care at the lowest possible cost.

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