Learning-curve-based Simulation Training for Bronchoscopic Intubation
NCT ID: NCT05383729
Last Updated: 2022-10-24
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
NA
32 participants
INTERVENTIONAL
2022-05-25
2022-08-26
Brief Summary
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Detailed Description
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Conditions
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Study Design
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RANDOMIZED
PARALLEL
OTHER
SINGLE
Study Groups
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new training
In this new learning-curve-based training modality, after participants complete 16 procedures on a high-fidelity simulator, an individual learning curve will be generated using the previously validated equation:
ln(γ)=γ\_0 e\^(-kn)+γ\_∞ where γ is procedure time, n is previous experiences.\[2\] Other parameters and their 95% Confidence Interval (CI) can be obtained after curve fitting. And e\^(γ\_∞ ) is the asymptote of this curve. Then the trainees will continue the training. If the following procedure time falls into the 95% CI of the asymptote for three consecutive times,\[6\] the individual training goal is considered achieved.\[2\]
learning-curve-based training modality
It is an individual duration of simulation training that is based on the previous performance of FOB on a simulator.
reference training
In this reference fixed-training-time training modality, participants will receive training with a high-fidelity simulator for 1h.
fixed-training-time training modality
It is a training duration of 1 hour which is the dominant duration of simulator training in previous studies.\[1\]
Interventions
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learning-curve-based training modality
It is an individual duration of simulation training that is based on the previous performance of FOB on a simulator.
fixed-training-time training modality
It is a training duration of 1 hour which is the dominant duration of simulator training in previous studies.\[1\]
Eligibility Criteria
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Inclusion Criteria
2. have performed less than five FOB intubations in patients;
3. consent to this study. -
Exclusion Criteria
\-
ALL
Yes
Sponsors
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Tibet Autonomous Region People's Hospital
OTHER
Peking University People's Hospital
OTHER
Responsible Party
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Yi Feng, MD
Chair of Department of Anesthesiology
Principal Investigators
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Yi Feng
Role: PRINCIPAL_INVESTIGATOR
Peking University People's Hospital
Locations
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Peking University People's Hospital
Beijing, Beijing Municipality, China
Tibet autonomous region people's hospital
Lhasa, Tibet, China
Countries
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References
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Wong DT, Mehta A, Singh KP, Leong SM, Ooi A, Niazi A, You-Ten E, Okrainec A, Patel R, Singh M, Wong J. The effect of virtual reality bronchoscopy simulator training on performance of bronchoscopic-guided intubation in patients: A randomised controlled trial. Eur J Anaesthesiol. 2019 Mar;36(3):227-233. doi: 10.1097/EJA.0000000000000890.
Jiang B, Ju H, Zhao Y, Yao L, Feng Y. Comparison of the Efficacy and Efficiency of the Use of Virtual Reality Simulation With High-Fidelity Mannequins for Simulation-Based Training of Fiberoptic Bronchoscope Manipulation. Simul Healthc. 2018 Apr;13(2):83-87. doi: 10.1097/SIH.0000000000000299.
Chandra DB, Savoldelli GL, Joo HS, Weiss ID, Naik VN. Fiberoptic oral intubation: the effect of model fidelity on training for transfer to patient care. Anesthesiology. 2008 Dec;109(6):1007-13. doi: 10.1097/ALN.0b013e31818d6c3c.
Naik VN, Matsumoto ED, Houston PL, Hamstra SJ, Yeung RY, Mallon JS, Martire TM. Fiberoptic orotracheal intubation on anesthetized patients: do manipulation skills learned on a simple model transfer into the operating room? Anesthesiology. 2001 Aug;95(2):343-8. doi: 10.1097/00000542-200108000-00014.
Roh GU, Kang JG, Han JY, Chang CH. Utility of oxygen insufflation through working channel during fiberoptic intubation in apneic patients: a prospective randomized controlled study. BMC Anesthesiol. 2020 Nov 10;20(1):282. doi: 10.1186/s12871-020-01201-9.
Mahmood K, Wahidi MM, Shepherd RW, Argento AC, Yarmus LB, Lee H, Shojaee S, Berkowitz DM, Van Nostrand K, Lamb CR, Shofer SL, Gao J, Davoudi M. Variable Learning Curve of Basic Rigid Bronchoscopy in Trainees. Respiration. 2021;100(6):530-537. doi: 10.1159/000514627. Epub 2021 Apr 13.
Other Identifiers
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2018PHB088
Identifier Type: -
Identifier Source: org_study_id
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