Study Results
Outcome measurements, participant flow, baseline characteristics, and adverse events have been published for this study.
View full resultsBasic Information
Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.
COMPLETED
48 participants
OBSERVATIONAL
2017-01-31
2020-01-31
Brief Summary
Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.
Related Clinical Trials
Explore similar clinical trials based on study characteristics and research focus.
Learning Crisis Resource Management: Practicing Versus Observational Role in Simulation Training
NCT01653704
Applying Flipped Learning Concepts to Simulation: the Effect on the Retention of Non-technical Skills
NCT03470818
Impact of Unexpected Death in Simulation: Skill Retention, Stress and Emotions
NCT03441425
Physicians in Training and Critical Care Nurses Performance in Medical Code Events: Effect of Simulation-Based Training
NCT02707185
Does Instruction on Cognitive Aid Use Improve Performance and Retention of Skills?
NCT01646372
Detailed Description
Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.
CRM skills are essential skills within acute care specialties, and are vital for patient safety. CRM encompasses technical skills, as well as a rapid and organized approach to non-technical, cognitive skills such as decision-making, task management, situational awareness and team management. High-fidelity full body mannequin simulation-based education is effective for learning CRM, including transfer of skills from the simulated setting to the clinical setting and improving patient outcome. However, there is a gap in the literature on whether physicians' age influences baseline CRM performance and also learning from simulation-based education.
Although the effectiveness of high-fidelity simulation-based education has been studied extensively in junior learner populations (students, residents, fellows), there are a limited number of studies investigating its effectiveness in teaching CRM in the ageing physician population. In fact, a recent systematic review looking at the role of simulation in continuing medical education (CME) in ACPs supported that there is limited evidence supporting improved learning. Despite not knowing whether simulation is the correct tool in an ageing population, it is being recommended as a training, regulation and assessment tool for practicing physicians.
Objectives:
The goals of this study are to:
1. Investigate whether ageing has a correlation with baseline CRM skills of ACPs using simulated crisis scenarios and
2. Assess whether ageing influences learning from high fidelity simulation.
Conditions
See the medical conditions and disease areas that this research is targeting or investigating.
Study Design
Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.
COHORT
PROSPECTIVE
Study Groups
Review each arm or cohort in the study, along with the interventions and objectives associated with them.
CRM Simulation
Each participant will manage a PEA arrest scenario (pre-test) and then be debriefed on their CRM skills by a trained facilitator for 20 minutes. They will then manage another crisis scenario (PEA arrest with a different inciting event) as an immediate post-test. Three months afterwards participants will return to manage a third PEA arrest scenario, which will serve as a retention post-test.
CRM Simulation
Each participant will manage a PEA arrest scenario (pre-test) and then be debriefed on their CRM skills by a trained facilitator for 20 minutes. They will then manage another crisis scenario (PEA arrest with a different inciting event) as an immediate post-test. Three months afterwards participants will return to manage a third PEA arrest scenario, which will serve as a retention post-test.
Interventions
Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.
CRM Simulation
Each participant will manage a PEA arrest scenario (pre-test) and then be debriefed on their CRM skills by a trained facilitator for 20 minutes. They will then manage another crisis scenario (PEA arrest with a different inciting event) as an immediate post-test. Three months afterwards participants will return to manage a third PEA arrest scenario, which will serve as a retention post-test.
Eligibility Criteria
Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.
Inclusion Criteria
* Critical care physicians
* Anesthesiologists
* minimum 5 years of practice post-residency
Exclusion Criteria
ALL
Yes
Sponsors
Meet the organizations funding or collaborating on the study and learn about their roles.
University of Toronto
OTHER
University of Ottawa
OTHER
Sunnybrook Health Sciences Centre
OTHER
Responsible Party
Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.
Dr. Fahad Alam
Anesthesiologist
Principal Investigators
Learn about the lead researchers overseeing the trial and their institutional affiliations.
Fahad Alam, MD, FRCPC
Role: PRINCIPAL_INVESTIGATOR
Sunnybrook Health Sciences Centre
Sylvain Boet, MD, MEd, PhD
Role: PRINCIPAL_INVESTIGATOR
University of Ottawa
Locations
Explore where the study is taking place and check the recruitment status at each participating site.
University of Ottawa
Ottawa, Ontario, Canada
Sunnybrook Health Sciences Centre
Toronto, Ontario, Canada
Countries
Review the countries where the study has at least one active or historical site.
References
Explore related publications, articles, or registry entries linked to this study.
Katz JD. Issues of concern for the aging anesthesiologist. Anesth Analg. 2001 Jun;92(6):1487-92. doi: 10.1097/00000539-200106000-00027. No abstract available.
Baxter AD, Boet S, Reid D, Skidmore G. The aging anesthesiologist: a narrative review and suggested strategies. Can J Anaesth. 2014 Sep;61(9):865-75. doi: 10.1007/s12630-014-0194-x. Epub 2014 Jul 2.
Baird M, Daugherty L, Kumar KB, Arifkhanova A. Regional and Gender Differences and Trends in the Anesthesiologist Workforce. Anesthesiology. 2015 Nov;123(5):997-1012. doi: 10.1097/ALN.0000000000000834.
Siu LW, Boet S, Borges BC, Bruppacher HR, LeBlanc V, Naik VN, Riem N, Chandra DB, Joo HS. High-fidelity simulation demonstrates the influence of anesthesiologists' age and years from residency on emergency cricothyroidotomy skills. Anesth Analg. 2010 Oct;111(4):955-60. doi: 10.1213/ANE.0b013e3181ee7f4f. Epub 2010 Aug 24.
Daugherty L, Fonseca R, Kumar KB, Michaud PC. An Analysis of the Labor Markets for Anesthesiology. Rand Health Q. 2011 Sep 1;1(3):18. eCollection 2011 Fall.
Duke, E. (2006). The Critical Care Workforce: A Study of the Supply and Demand for Critical Care Physicians : Report to Congress (p. 36). U.S. Department of Health & Human Sciences.
Durning SJ, Artino AR, Holmboe E, Beckman TJ, van der Vleuten C, Schuwirth L. Aging and cognitive performance: challenges and implications for physicians practicing in the 21st century. J Contin Educ Health Prof. 2010 Summer;30(3):153-60. doi: 10.1002/chp.20075.
Eva KW. The aging physician: changes in cognitive processing and their impact on medical practice. Acad Med. 2002 Oct;77(10 Suppl):S1-6. doi: 10.1097/00001888-200210001-00002. No abstract available.
Trunkey DD, Botney R. Assessing competency: a tale of two professions. J Am Coll Surg. 2001 Mar;192(3):385-95. doi: 10.1016/s1072-7515(01)00770-0. No abstract available.
Turnbull J, Carbotte R, Hanna E, Norman G, Cunnington J, Ferguson B, Kaigas T. Cognitive difficulty in physicians. Acad Med. 2000 Feb;75(2):177-81. doi: 10.1097/00001888-200002000-00018.
Norman G, Young M, Brooks L. Non-analytical models of clinical reasoning: the role of experience. Med Educ. 2007 Dec;41(12):1140-5. doi: 10.1111/j.1365-2923.2007.02914.x. Epub 2007 Nov 13.
Tessler MJ, Shrier I, Steele RJ. Association between anesthesiologist age and litigation. Anesthesiology. 2012 Mar;116(3):574-9. doi: 10.1097/ALN.0b013e3182475ebf.
Alam A, Khan J, Liu J, Klemensberg J, Griesman J, Bell CM. Characteristics and rates of disciplinary findings amongst anesthesiologists by professional colleges in Canada. Can J Anaesth. 2013 Oct;60(10):1013-9. doi: 10.1007/s12630-013-0006-8. Epub 2013 Jul 30.
Duclos A, Peix JL, Colin C, Kraimps JL, Menegaux F, Pattou F, Sebag F, Touzet S, Bourdy S, Voirin N, Lifante JC; CATHY Study Group. Influence of experience on performance of individual surgeons in thyroid surgery: prospective cross sectional multicentre study. BMJ. 2012 Jan 10;344:d8041. doi: 10.1136/bmj.d8041.
Khaliq AA, Dimassi H, Huang CY, Narine L, Smego RA Jr. Disciplinary action against physicians: who is likely to get disciplined? Am J Med. 2005 Jul;118(7):773-7. doi: 10.1016/j.amjmed.2005.01.051.
Boet S, Bould MD, Fung L, Qosa H, Perrier L, Tavares W, Reeves S, Tricco AC. Transfer of learning and patient outcome in simulated crisis resource management: a systematic review. Can J Anaesth. 2014 Jun;61(6):571-82. doi: 10.1007/s12630-014-0143-8. Epub 2014 Mar 25.
Marinopoulos SS, Dorman T, Ratanawongsa N, Wilson LM, Ashar BH, Magaziner JL, Miller RG, Thomas PA, Prokopowicz GP, Qayyum R, Bass EB. Effectiveness of continuing medical education. Evid Rep Technol Assess (Full Rep). 2007 Jan;(149):1-69.
Khanduja PK, Bould MD, Naik VN, Hladkowicz E, Boet S. The role of simulation in continuing medical education for acute care physicians: a systematic review. Crit Care Med. 2015 Jan;43(1):186-93. doi: 10.1097/CCM.0000000000000672.
Steadman RH. Improving on reality: can simulation facilitate practice change? Anesthesiology. 2010 Apr;112(4):775-6. doi: 10.1097/ALN.0b013e3181d3e337. No abstract available.
Curtis MT, DiazGranados D, Feldman M. Judicious use of simulation technology in continuing medical education. J Contin Educ Health Prof. 2012 Fall;32(4):255-60. doi: 10.1002/chp.21153.
Savoldelli GL, Naik VN, Hamstra SJ, Morgan PJ. Barriers to use of simulation-based education. Can J Anaesth. 2005 Nov;52(9):944-50. doi: 10.1007/BF03022056.
Davis DA, Mazmanian PE, Fordis M, Van Harrison R, Thorpe KE, Perrier L. Accuracy of physician self-assessment compared with observed measures of competence: a systematic review. JAMA. 2006 Sep 6;296(9):1094-102. doi: 10.1001/jama.296.9.1094.
Kim J, Neilipovitz D, Cardinal P, Chiu M, Clinch J. A pilot study using high-fidelity simulation to formally evaluate performance in the resuscitation of critically ill patients: The University of Ottawa Critical Care Medicine, High-Fidelity Simulation, and Crisis Resource Management I Study. Crit Care Med. 2006 Aug;34(8):2167-74. doi: 10.1097/01.CCM.0000229877.45125.CC.
McEvoy MD, Smalley JC, Nietert PJ, Field LC, Furse CM, Blenko JW, Cobb BG, Walters JL, Pendarvis A, Dalal NS, Schaefer JJ 3rd. Validation of a detailed scoring checklist for use during advanced cardiac life support certification. Simul Healthc. 2012 Aug;7(4):222-35. doi: 10.1097/SIH.0b013e3182590b07.
Alam F, LeBlanc VR, Baxter A, Tarshis J, Piquette D, Gu Y, Filipowska C, Krywenky A, Kester-Greene N, Cardinal P, Au S, Lam S, Boet S, Clinical Trials Group PA. Does the age of acute care physicians impact their (1) crisis management performance and (2) learning after simulation-based education? A protocol for a multicentre prospective cohort study in Toronto and Ottawa, Canada. BMJ Open. 2018 Apr 21;8(4):e020940. doi: 10.1136/bmjopen-2017-020940.
Provided Documents
Download supplemental materials such as informed consent forms, study protocols, or participant manuals.
Document Type: Study Protocol and Statistical Analysis Plan
Other Identifiers
Review additional registry numbers or institutional identifiers associated with this trial.
140-2015
Identifier Type: -
Identifier Source: org_study_id
More Related Trials
Additional clinical trials that may be relevant based on similarity analysis.