Simulator-based ultrasound training for identification of endotracheal tube placement in a neonatal intensive care unit using point of care ultrasound

Authors

Khushboo Qaim Ali, Aga Khan UniversityFollow
Sajid Bashir Soofi, Aga Khan UniversityFollow
Ali Shabbir Hussain, Aga Khan UniversityFollow
Uzair Ansari, Aga Khan UniversityFollow
Shaun Morris, The Hospital for Sick Children, Toronto, Canada
Mark Oliver Tessaro, The Hospital for Sick Children, Toronto, Canada
Shabina Ariff, Aga Khan UniversityFollow
Hasan Merali, McMaster Children's Hospital, Hamilton, Canada

Document Type

Article

Department

Paediatrics and Child Health

Abstract

Background: Simulators are an extensively utilized teaching tool in clinical settings. Simulation enables learners to practice and improve their skills in a safe and controlled environment before using these skills on patients. We evaluated the effect of a training session utilizing a novel intubation ultrasound simulator on the accuracy of provider detection of tracheal versus esophageal neonatal endotracheal tube (ETT) placement using point-of-care ultrasound (POCUS). We also investigated whether the time to POCUS image interpretation decreased with repeated simulator attempts.
Methods: Sixty neonatal health care providers participated in a three-hour simulator-based training session in the neonatal intensive care unit (NICU) of Aga Khan University Hospital (AKUH), Karachi, Pakistan. Participants included neonatologists, neonatal fellows, pediatric residents and senior nursing staff. The training utilized a novel low-cost simulator made with gelatin, water and psyllium fiber. Training consisted of a didactic session, practice with the simulator, and practice with intubated NICU patients. At the end of training, participants underwent an objective structured assessment of technical skills (OSATS) and ten rounds of simulator-based testing of their ability to use POCUS to differentiate between simulated tracheal and esophageal intubations.
Results: The majority of the participants in the training had an average of 7.0 years (SD 4.9) of clinical experience. After controlling for gender, profession, years of practice and POCUS knowledge, linear mixed model and mixed effects logistic regression demonstrated marginal improvement in POCUS interpretation over repeated simulator testing. The mean time-to-interpretation decreased from 24.7 (SD 20.3) seconds for test 1 to 10.1 (SD 4.5) seconds for Test 10, p < 0.001. There was an average reduction of 1.3 s (β = - 1.3; 95% CI: - 1.66 to - 1.0) in time-to-interpretation with repeated simulator testing after adjusting for the covariates listed above.
Conclusion: We found a three-hour simulator-based training session had a significant impact on technical skills and performance of neonatal health care providers in identification of ETT position using POCUS. Further research is needed to examine whether these skills are transferable to intubated newborns in various health settings.

Comments

Pagination are not provided by the author/publisher

Publication (Name of Journal)

BMC Medical Education

Recommended Citation

Ali, K. Q., Soofi, S., Hussain, A. S., Ansari, U., Morris, S., Tessaro, M. O., Ariff, S., Merali, H. (2020). Simulator-based ultrasound training for identification of endotracheal tube placement in a neonatal intensive care unit using point of care ultrasound. BMC Medical Education, 20(1), 409.
Available at: https://ecommons.aku.edu/pakistan_fhs_mc_women_childhealth_paediatr/962

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.