Implementation of an electroencephalogram-guided propofol anesthesia practice in a large academic pediatric hospital: A quality improvement project.


Journal

Paediatric anaesthesia
ISSN: 1460-9592
Titre abrégé: Paediatr Anaesth
Pays: France
ID NLM: 9206575

Informations de publication

Date de publication:
14 Nov 2023
Historique:
revised: 12 10 2023
received: 20 06 2023
accepted: 22 10 2023
medline: 14 11 2023
pubmed: 14 11 2023
entrez: 14 11 2023
Statut: aheadofprint

Résumé

Propofol-based total intravenous anesthesia is gaining popularity in pediatric anesthesia. Electroencephalogram can be used to guide propofol dosing to the individual patient to mitigate against overdosing and adverse events. However, electroencephalogram interpretation and propofol pharmacokinetics are not sufficiently taught in training programs to confidently deploy electroencephalogram-guided total intravenous anesthesia. We conducted a quality improvement project with the smart aim of increasing the percentage of electroencephalogram-guided total intravenous anesthesia cases in our main operating room from 0% to 80% over 18 months. Balancing measures were number of total intravenous anesthesia cases, emergence times, and perioperative emergency activations. The project key drivers were education, equipment, and electronic health record modifications. Plan-Do-Study-Act cycles included: (1) providing journal articles, didactic lectures, intraoperative training, and teaching documents; (2) scheduling electroencephalogram-guided total intravenous anesthesia teachers to train faculty, staff, and fellows for specific cases and to assess case-based knowledge; (3) adding age-based propofol dosing tables and electroencephalogram parameters to the electronic health record (EPIC co, Verona, WI); (4) procuring electroencephalogram monitors (Sedline, Masimo Inc). Electroencephalogram-guided total intravenous anesthesia cases and balancing measures were identified from the electronic health record. The smart aim was evaluated by statistical process control chart. After the four Plan-Do-Study-Act cycles, electroencephalogram-guided total intravenous anesthesia increased from 5% to 75% and was sustained at 72% 9 months after project completion. Total intravenous anesthesia cases/mo and number of perioperative emergency activations did not change significantly from start to end of the project, while emergence time for electroencephalogram-guided total intravenous anesthesia was greater statistically but not clinically (total intravenous anesthesia without electroencephalogram [16 ± 10 min], total intravenous anesthesia with electroencephalogram [18 ± 9 min], sevoflurane [17 ± 9 min] p < .001). Quality improvement methods may be deployed to adopt electroencephalogram-guided total intravenous anesthesia in a large academic pediatric anesthesia practice. Keys to success include education, in operating room case training, scheduling teachers with learners, electronic health record modifications, and electroencephalogram devices and supplies.

Sections du résumé

BACKGROUND BACKGROUND
Propofol-based total intravenous anesthesia is gaining popularity in pediatric anesthesia. Electroencephalogram can be used to guide propofol dosing to the individual patient to mitigate against overdosing and adverse events. However, electroencephalogram interpretation and propofol pharmacokinetics are not sufficiently taught in training programs to confidently deploy electroencephalogram-guided total intravenous anesthesia.
AIMS OBJECTIVE
We conducted a quality improvement project with the smart aim of increasing the percentage of electroencephalogram-guided total intravenous anesthesia cases in our main operating room from 0% to 80% over 18 months. Balancing measures were number of total intravenous anesthesia cases, emergence times, and perioperative emergency activations.
METHODS METHODS
The project key drivers were education, equipment, and electronic health record modifications. Plan-Do-Study-Act cycles included: (1) providing journal articles, didactic lectures, intraoperative training, and teaching documents; (2) scheduling electroencephalogram-guided total intravenous anesthesia teachers to train faculty, staff, and fellows for specific cases and to assess case-based knowledge; (3) adding age-based propofol dosing tables and electroencephalogram parameters to the electronic health record (EPIC co, Verona, WI); (4) procuring electroencephalogram monitors (Sedline, Masimo Inc). Electroencephalogram-guided total intravenous anesthesia cases and balancing measures were identified from the electronic health record. The smart aim was evaluated by statistical process control chart.
RESULTS RESULTS
After the four Plan-Do-Study-Act cycles, electroencephalogram-guided total intravenous anesthesia increased from 5% to 75% and was sustained at 72% 9 months after project completion. Total intravenous anesthesia cases/mo and number of perioperative emergency activations did not change significantly from start to end of the project, while emergence time for electroencephalogram-guided total intravenous anesthesia was greater statistically but not clinically (total intravenous anesthesia without electroencephalogram [16 ± 10 min], total intravenous anesthesia with electroencephalogram [18 ± 9 min], sevoflurane [17 ± 9 min] p < .001).
CONCLUSION CONCLUSIONS
Quality improvement methods may be deployed to adopt electroencephalogram-guided total intravenous anesthesia in a large academic pediatric anesthesia practice. Keys to success include education, in operating room case training, scheduling teachers with learners, electronic health record modifications, and electroencephalogram devices and supplies.

Identifiants

pubmed: 37962837
doi: 10.1111/pan.14791
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2023 John Wiley & Sons Ltd.

Références

Karam C, Zeeni C, Yazbeck-Karam V, et al. Respiratory adverse events after LMA® mask removal in children: a randomized trial comparing Propofol to Sevoflurane. Anesth Analg. 2023;136(1):25-33.
Oberer C, von Ungern-Sternberg BS, Frei FJ, Erb TO. Respiratory reflex responses of the larynx differ between Sevoflurane and Propofol in pediatric patients. Anesthesiology. 2005;103(6):1142-1148.
Chandler JR, Myers D, Mehta D, et al. Emergence delirium in children: a randomized trial to compare total intravenous anesthesia with propofol and remifentanil to inhalational sevoflurane anesthesia. Pediatr Anesth. 2013;23(4):309-315.
Apfel CC, Korttila K, Abdalla M, et al. A factorial trial of six interventions for the prevention of postoperative nausea and vomiting. N Engl J Med. 2004;350(24):2441-2451.
Narayanan H, Raistrick C, Tom Pierce JM, Shelton C. Carbon footprint of inhalational and total intravenous anaesthesia for paediatric anaesthesia: a modelling study. Br J Anaesth. 2022;129(2):231-243.
Xu T, Kurth CD, Yuan I, Vutskits L, Zhu T. An approach to using pharmacokinetics and electroencephalography for propofol anesthesia for surgery in infants. Pediatr Anesth. 2020;30(12):1299-1307.
Yuan I, Xu T, Skowno J, et al. Isoelectric electroencephalography in infants and toddlers during anesthesia for surgery: an international observational study. Anesthesiology. 2022;137(2):187-200.
Yuan I, Xu T, Kurth CD. Using electroencephalography (EEG) to guide Propofol and Sevoflurane dosing in pediatric anesthesia. Anesthesiol Clin. 2020;38(3):709-725.
Yuan I, Missett RM, Jones-Oguh S, et al. Implementation of an electroencephalogram-guided propofol anesthesia education program in an academic pediatric anesthesia practice. Pediatr Anesth. 2022;32(11):1252-1261.
Ogrinc G, Davies L, Goodman D, Batalden P, Davidoff F, Stevens D. SQUIRE 2.0 (standards for QUality improvement reporting excellence): revised publication guidelines from a detailed consensus process. Am J Med Qual. 2015;30(6):543-549.
Lee AC, Redding AT, Tjia I, Rana MS, Heitmiller E. Self-reported awareness during general anesthesia in pediatric patients: a study from wake up safe. Pediatr Anesth. 2021;31(6):676-685.
Nolan T, Resar R, Haraden C, Griffin FA. Improving the Reliability of Health Care. IHI Innovation Series white paper. Boston: Institute for Healthcare Improvement; 2004.
Harris PA, Taylor R, Thielke R, Payne J, Gonzalez N, Conde JG. Research electronic data capture (REDCap)-a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform. 2009;42(2):377-381.
Carroll AR, Johnson DP. Know it when you see it: identifying and using special cause variation for quality improvement. Hosp Pediatr. 2020;10(11):e8-e10.
Buck DW, Claure R, Tjia IM, Varughese AM, Brustowicz R, Subramanyam R. How the wake up safe pediatric anesthesia collaborative increased quality improvement capability and collaboration. Paediatr Anaesth. 2022;32(11):1246-1251.

Auteurs

Sheri Jones Oguh (S)

Department of Anesthesiology & Critical Care Medicine, Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, USA.

Rajeev S Iyer (RS)

Department of Anesthesiology & Critical Care Medicine, Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, USA.

Ian Yuan (I)

Department of Anesthesiology & Critical Care Medicine, Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, USA.

Richard Missett (R)

Department of Anesthesiology & Critical Care Medicine, Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, USA.

Rodrigo J Daly Guris (RJ)

Department of Anesthesiology & Critical Care Medicine, Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, USA.

Gregory Johnson (G)

Department of Anesthesiology & Critical Care Medicine, Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, USA.

Lenard W Babus (LW)

Department of Anesthesiology & Critical Care Medicine, Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, USA.

Christopher B Massa (CB)

Department of Anesthesiology & Critical Care Medicine, Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, USA.

Heather McClung-Pasqualino (H)

Department of Anesthesiology & Critical Care Medicine, Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, USA.

Annery G Garcia-Marcinkiewicz (AG)

Department of Anesthesiology & Critical Care Medicine, Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, USA.

Luis Sequera-Ramos (L)

Department of Anesthesiology & Critical Care Medicine, Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, USA.

C Dean Kurth (CD)

Department of Anesthesiology & Critical Care Medicine, Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, USA.

Classifications MeSH