3D Printed Model Simulator or Virtual Reality Software for Training Fiberoptic Intubation Skill
Fiberoptic Intubation Skill Performance After Self-directed Training Among Anesthesiology Residents: A Randomized Comparison of a 3D-printed Model Simulator and a Virtual Reality Software
1 other identifier
interventional
27
1 country
1
Brief Summary
Fiberoptic-assisted intubation is an advanced skill that requires learners' practice as well as clinical experience during the anesthesiology residency training period. Current training methods including airway simulators and virtual reality software are used by medical schools worldwide. The objective of this study is to compare the learner's fiberoptic intubation performance between training with a 3D-printed simulator and a virtual reality software.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for not_applicable
Started Jan 2022
Shorter than P25 for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
November 18, 2021
CompletedFirst Posted
Study publicly available on registry
December 3, 2021
CompletedStudy Start
First participant enrolled
January 15, 2022
CompletedPrimary Completion
Last participant's last visit for primary outcome
April 18, 2022
CompletedStudy Completion
Last participant's last visit for all outcomes
April 18, 2022
CompletedMay 13, 2022
May 1, 2022
3 months
November 18, 2021
May 12, 2022
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Global rating scale score for fiberoptic intubation performance (GRS scale)
The 5-point rating scale assessing multiple aspects of fiberoptic intubation performance. The assessment includes, on the scale of 1 (minimum score) to 5 (maximum score), the following; 1. Control 2. Progression 3. Orientation 4. Views and collision 5. Accuracy
1 week after self-directed practice session
Secondary Outcomes (1)
Time to successful intubation
1 week after self-directed practice session
Study Arms (2)
3D printed simulator
EXPERIMENTALThe participants in this arm will undergo two self-directed training sessions on a custom-made 3D-printed airway simulator. The participants will use a standard intubating fiberoptic bronchoscope to practice fiberoptic-assisted nasal intubation. The sessions will be one week apart. Each session is 30 minutes per participant.
Virtual reality software
EXPERIMENTALThe participants in this arm will practice fiberoptic-assisted nasal intubation using the free virtual reality software (AirwayEX) on their mobile phones or computer tablets. Two practice sessions are required by the investigators. The sessions will be one week apart. Each session is 30 minutes per participant. The participants in this arm will have the opportunity to practice on the software as often as they feel necessary. All the additional practice data will be recorded.
Interventions
Two self-directed training on a standard fiberoptic bronchoscope and a custom-made 3D airway simulator.
Two self-directed training on AirwayEx. With additional training as necessary.
Eligibility Criteria
You may qualify if:
- Second-year anesthesiology resident
You may not qualify if:
- Refuse to participate
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Siriraj Hospital
Bangkok, 10700, Thailand
Related Publications (12)
Apfelbaum JL, Hagberg CA, Caplan RA, Blitt CD, Connis RT, Nickinovich DG, Hagberg CA, Caplan RA, Benumof JL, Berry FA, Blitt CD, Bode RH, Cheney FW, Connis RT, Guidry OF, Nickinovich DG, Ovassapian A; American Society of Anesthesiologists Task Force on Management of the Difficult Airway. Practice guidelines for management of the difficult airway: an updated report by the American Society of Anesthesiologists Task Force on Management of the Difficult Airway. Anesthesiology. 2013 Feb;118(2):251-70. doi: 10.1097/ALN.0b013e31827773b2. No abstract available.
PMID: 23364566BACKGROUNDWiles MD, McCahon RA, Armstrong JAM. An Audit of Fibreoptic Intubation Training Opportunities in a UK Teaching Hospital. Journal of Anesthesiology. 2014;703820.
BACKGROUNDClarke RC, Gardner AI. Anaesthesia trainees' exposure to airway management in an Australian tertiary adult teaching hospital. Anaesth Intensive Care. 2008 Jul;36(4):513-5.
PMID: 18714618BACKGROUNDNaik 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.
PMID: 11506104BACKGROUNDChao I, Young J, Coles-Black J, Chuen J, Weinberg L, Rachbuch C. The application of three-dimensional printing technology in anaesthesia: a systematic review. Anaesthesia. 2017 May;72(5):641-650. doi: 10.1111/anae.13812. Epub 2017 Jan 27.
PMID: 28127746BACKGROUNDCarter JC, Broadbent J, Murphy EC, Guy B, Baguley KE, Young J. A three-dimensional (3D) printed paediatric trachea for airway management training. Anaesth Intensive Care. 2020 May;48(3):243-245. doi: 10.1177/0310057X20925827. Epub 2020 Jun 14.
PMID: 32536185BACKGROUNDJiang 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.
PMID: 29621098BACKGROUNDGiglioli S, Boet S, De Gaudio AR, Linden M, Schaeffer R, Bould MD, Diemunsch P. Self-directed deliberate practice with virtual fiberoptic intubation improves initial skills for anesthesia residents. Minerva Anestesiol. 2012 Apr;78(4):456-61. Epub 2012 Feb 6.
PMID: 22310190BACKGROUNDKadys A, Rancevienė D, Macas A. Using Smartphone Application iLarynx to Teach Novices to Perform Fiber Optic Intubation. Nursing education, research, & practice: NERP. Kaunas: Lietuvos sveikatos mokslų universitetas, 2016, vol. 6, no. 1. 2016.
BACKGROUNDHo BHK, Chen CJ, Tan GJS, Yeong WY, Tan HKJ, Lim AYH, Ferenczi MA, Mogali SR. Multi-material three dimensional printed models for simulation of bronchoscopy. BMC Med Educ. 2019 Jun 27;19(1):236. doi: 10.1186/s12909-019-1677-9.
PMID: 31248397BACKGROUNDChan JK, Ng I, Ang JP, Koh SM, Lee K, Mezzavia P, Morris J, Loh F, Segal R. Randomised controlled trial comparing the Ambu(R) aScope2 with a conventional fibreoptic bronchoscope in orotracheal intubation of anaesthetised adult patients. Anaesth Intensive Care. 2015 Jul;43(4):479-84. doi: 10.1177/0310057X1504300410.
PMID: 26099760BACKGROUNDK Latif R, Bautista A, Duan X, Neamtu A, Wu D, Wadhwa A, Akca O. Teaching basic fiberoptic intubation skills in a simulator: initial learning and skills decay. J Anesth. 2016 Feb;30(1):12-9. doi: 10.1007/s00540-015-2091-z. Epub 2015 Oct 22.
PMID: 26493397BACKGROUND
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- SINGLE
- Who Masked
- OUTCOMES ASSESSOR
- Masking Details
- The outcomes assessors are blinded to each participant's group allocation. The assessors will be provided with video clips of the participants performing FOI. The identity and group allocation of each participant will not be revealed during the assessment.
- Purpose
- OTHER
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Lecturer
Study Record Dates
First Submitted
November 18, 2021
First Posted
December 3, 2021
Study Start
January 15, 2022
Primary Completion
April 18, 2022
Study Completion
April 18, 2022
Last Updated
May 13, 2022
Record last verified: 2022-05
Data Sharing
- IPD Sharing
- Will not share