Simulation-based and Problem-based Learning for Difficult Airway Management
Crossover Study in Simulation-based and Problem-based Learning in Practice Guideline for Difficult Airway Management
1 other identifier
interventional
36
1 country
1
Brief Summary
Teaching and learning of difficult airway management are considered to be an essential skill in anesthesiology. As a result, doctors and nurses in anesthesia have to be vigilant in every step including airway assessment, equipment preparation and strategic planning of the process. During the one-year training program, nurse anesthetist students intensively study theories and practical skills in anesthesia, using manikins to living patients. Difficult airway management has become a distinguished means in the training curriculum. In addition, the educational tool in the anesthesia curriculum is typically simulation-based learning (SBL) and problem-based learning (PBL) courses. As a result, we designed a cross-over study to determine the learning achievement of nurse anesthetist students in difficult airway management. The objectives were to study the learning achievement and relative growth of knowledge of the two learning techniques: SBL and PBL. Thirty-six nurse anesthetist students in Academic Year 2015, volunteered to join the study project. After signing the consent form, they were randomly put into two groups: A (n = 17) and B (n = 19). As designed by the cross-over study, students in group A attended SBL and after 6 weeks, they focused on PBL, and vice versa for group B. The 40-item, multiple choices exam was developed in regard to difficult airway management guidelines. The correctness and appropriateness of the test (content validity) were determined by three board-certified anesthesiologists. The try out of the test was performed by 10 novice nurse anesthetists. The index of item objective congruence was 0.82 with Kuder Richardson 21 of 0.8. The assessed criterion-referenced item difficulty and discrimination index were 0.4-0.6 and 0.6-0.8 respectively. The pretest (X1, X2) were post-test ((Y1, Y2) were performed in the consequence. The relative growth of knowledge (G1, G2) was calculated as follows: G1 = 100 (Y1 - X1) / (F - X1) % G2 = 100 (Y2 - X2) / (F - X2) % Where F was the full scores of the learning course Statistics analysis The test scores and relative growth of knowledge between the two groups were expressed as mean and standard deviation. Comparison between the two groups was performed by repeated measure ANOVA. Statistically significant differences were considered when there was a p value of \< 0.05 with a 95% confidence interval.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for not_applicable
Started Aug 2015
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
Study Start
First participant enrolled
August 1, 2015
CompletedFirst Submitted
Initial submission to the registry
March 16, 2016
CompletedFirst Posted
Study publicly available on registry
March 24, 2016
CompletedPrimary Completion
Last participant's last visit for primary outcome
May 1, 2016
CompletedStudy Completion
Last participant's last visit for all outcomes
June 1, 2016
CompletedMarch 24, 2016
March 1, 2016
9 months
March 16, 2016
March 23, 2016
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Learning achievement
student achievement scores from pretest 1( X1), post-test 1 (Y1) and pretest 2 (X2) , post-test2 (Y2)
3 months
Other Outcomes (1)
Relative growth of knowledge
3 months
Study Arms (2)
Simulation training first
EXPERIMENTALA highly customized interactive medium or program that allows individuals to learn and practice real world activities in an accurate, realistic, safe and secure environment.
Problem-based learning first
EXPERIMENTALInstructional use of examples or cases to teach using problem-solving skills and critical thinking.
Interventions
spend 3 hours for each of 10 nurse anesthetist students with 4 scenarios
spend 3 hours for PBL steps with each of 10 nurse anesthetist students
Eligibility Criteria
You may qualify if:
- Nurse anesthetist students in the academic year of 2015
You may not qualify if:
- The unwilling nurse anesthetist students in the academic year of 2015
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Siriraj Hospitallead
Study Sites (1)
Parichad Apidechakul
Nonthaburi, Changwat Nonthaburi, 10700, Thailand
Related Publications (15)
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: 23364566RESULTLorello GR, Cook DA, Johnson RL, Brydges R. Simulation-based training in anaesthesiology: a systematic review and meta-analysis. Br J Anaesth. 2014 Feb;112(2):231-45. doi: 10.1093/bja/aet414. Epub 2013 Dec 23.
PMID: 24368556RESULTHesselfeldt R, Kristensen MS, Rasmussen LS. Evaluation of the airway of the SimMan full-scale patient simulator. Acta Anaesthesiol Scand. 2005 Oct;49(9):1339-45. doi: 10.1111/j.1399-6576.2005.00856.x.
PMID: 16146473RESULTSmithburger PL, Kane-Gill SL, Ruby CM, Seybert AL. Comparing effectiveness of 3 learning strategies: simulation-based learning, problem-based learning, and standardized patients. Simul Healthc. 2012 Jun;7(3):141-6. doi: 10.1097/SIH.0b013e31823ee24d.
PMID: 22293664RESULTSteadman RH, Coates WC, Huang YM, Matevosian R, Larmon BR, McCullough L, Ariel D. Simulation-based training is superior to problem-based learning for the acquisition of critical assessment and management skills. Crit Care Med. 2006 Jan;34(1):151-7. doi: 10.1097/01.ccm.0000190619.42013.94.
PMID: 16374169RESULTKomasawa N, Sanuki T, Fujiwara S, Haba M, Ueki R, Kaminoh Y, Minami T. Significance of debriefing methods in simulation-based sedation training courses for medical safety improvement in Japan. Springerplus. 2014 Oct 28;3:637. doi: 10.1186/2193-1801-3-637. eCollection 2014.
PMID: 25392805RESULTTanaka PP, Pessoa R, Fernandes R, Brodsky J. [What is missing for difficult airway management in the 21st century]. Rev Bras Anestesiol. 2015 May-Jun;65(3):235-6. doi: 10.1016/j.bjan.2013.11.008. Epub 2014 Sep 26. No abstract available. Portuguese.
PMID: 25990498RESULTRoss AJ, Kodate N, Anderson JE, Thomas L, Jaye P. Review of simulation studies in anaesthesia journals, 2001-2010: mapping and content analysis. Br J Anaesth. 2012 Jul;109(1):99-109. doi: 10.1093/bja/aes184.
PMID: 22696559RESULTLucisano KE, Talbot LA. Simulation training for advanced airway management for anesthesia and other healthcare providers: a systematic review. AANA J. 2012 Feb;80(1):25-31.
PMID: 22474801RESULTChilkoti G, Mohta M, Wadhwa R, Saxena AK. Problem-based learning research in anesthesia teaching: current status and future perspective. Anesthesiol Res Pract. 2014;2014:263948. doi: 10.1155/2014/263948. Epub 2014 May 29.
PMID: 24982673RESULTLui PW. Things we should know when designing simulator-based teaching in difficult airway management. J Chin Med Assoc. 2008 Apr;71(4):163-5. doi: 10.1016/S1726-4901(08)70098-4. No abstract available.
PMID: 18436497RESULTLangeron O, Masso E, Huraux C, Guggiari M, Bianchi A, Coriat P, Riou B. Prediction of difficult mask ventilation. Anesthesiology. 2000 May;92(5):1229-36. doi: 10.1097/00000542-200005000-00009.
PMID: 10781266RESULTLangeron O, Cuvillon P, Ibanez-Esteve C, Lenfant F, Riou B, Le Manach Y. Prediction of difficult tracheal intubation: time for a paradigm change. Anesthesiology. 2012 Dec;117(6):1223-33. doi: 10.1097/ALN.0b013e31827537cb.
PMID: 23135259RESULTCook TM, Woodall N, Harper J, Benger J; Fourth National Audit Project. Major complications of airway management in the UK: results of the Fourth National Audit Project of the Royal College of Anaesthetists and the Difficult Airway Society. Part 2: intensive care and emergency departments. Br J Anaesth. 2011 May;106(5):632-42. doi: 10.1093/bja/aer059. Epub 2011 Mar 29.
PMID: 21447489RESULTVuori M, Akila R, Kalakoski V, Pentti J, Kivimaki M, Vahtera J, Harma M, Puttonen S. Association between exposure to work stressors and cognitive performance. J Occup Environ Med. 2014 Apr;56(4):354-60. doi: 10.1097/JOM.0000000000000129.
PMID: 24709760RESULT
Study Officials
- PRINCIPAL INVESTIGATOR
Parichad Apidechakul, B.Ns, M.P.A.
Department of Anesthesiology, Faculty of Medicine, Siriraj hospital
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- TRIPLE
- Who Masked
- PARTICIPANT, INVESTIGATOR, OUTCOMES ASSESSOR
- Purpose
- HEALTH SERVICES RESEARCH
- Intervention Model
- CROSSOVER
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Faculty of Medicine Siriraj Hospital
Study Record Dates
First Submitted
March 16, 2016
First Posted
March 24, 2016
Study Start
August 1, 2015
Primary Completion
May 1, 2016
Study Completion
June 1, 2016
Last Updated
March 24, 2016
Record last verified: 2016-03
Data Sharing
- IPD Sharing
- Will share