Assessment; Competency-based education; Education; Medical education; Simulation; Summative; General Engineering
Abstract :
[en] ("[en] BACKGROUND: Healthcare curricula need summative assessments relevant to and representative of clinical situations to best select and train learners. Simulation provides multiple benefits with a growing literature base proving its utility for training in a formative context. Advancing to the next step, ""the use of simulation for summative assessment"" requires rigorous and evidence-based development because any summative assessment is high stakes for participants, trainers, and programs. The first step of this process is to identify the baseline from which we can start.
METHODS: First, using a modified nominal group technique, a task force of 34 panelists defined topics to clarify the why, how, what, when, and who for using simulation-based summative assessment (SBSA). Second, each topic was explored by a group of panelists based on state-of-the-art literature reviews technique with a snowball method to identify further references. Our goal was to identify current knowledge and potential recommendations for future directions. Results were cross-checked among groups and reviewed by an independent expert committee.
RESULTS: Seven topics were selected by the task force: ""What can be assessed in simulation?"", ""Assessment tools for SBSA"", ""Consequences of undergoing the SBSA process"", ""Scenarios for SBSA"", ""Debriefing, video, and research for SBSA"", ""Trainers for SBSA"", and ""Implementation of SBSA in healthcare"". Together, these seven explorations provide an overview of what is known and can be done with relative certainty, and what is unknown and probably needs further investigation. Based on this work, we highlighted the trustworthiness of different summative assessment-related conclusions, the remaining important problems and questions, and their consequences for participants and institutions of how SBSA is conducted.
CONCLUSION: Our results identified among the seven topics one area with robust evidence in the literature (""What can be assessed in simulation?""), three areas with evidence that require guidance by expert opinion (""Assessment tools for SBSA"", ""Scenarios for SBSA"", ""Implementation of SBSA in healthcare""), and three areas with weak or emerging evidence (""Consequences of undergoing the SBSA process"", ""Debriefing for SBSA"", ""Trainers for SBSA""). Using SBSA holds much promise, with increasing demand for this application. Due to the important stakes involved, it must be rigorously conducted and supervised. Guidelines for good practice should be formalized to help with conduct and implementation. We believe this baseline can direct future investigation and the development of guidelines.","[en] ","")
Disciplines :
Public health, health care sciences & services
Author, co-author :
BULEON, Clément ; Centre Hospitalier Universitaire de Liège - CHU > > Service des urgences ; Department of Anesthesiology, Intensive Care and Perioperative Medicine, Caen Normandy University Hospital, 6th Floor, Caen, France. clement.buleon@unicaen.fr ; Medical School, University of Caen Normandy, Caen, France. clement.buleon@unicaen.fr ; Center for Medical Simulation, Boston, MA, USA. clement.buleon@unicaen.fr
Mattatia, Laurent; Department of Anesthesiology, Intensive Care and Perioperative Medicine, Nîmes University Hospital, Nîmes, France
Minehart, Rebecca D; Center for Medical Simulation, Boston, MA, USA ; Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA, USA ; Harvard Medical School, Boston, MA, USA
Rudolph, Jenny W; Center for Medical Simulation, Boston, MA, USA ; Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA, USA ; Harvard Medical School, Boston, MA, USA
Lois, Fernande ; Centre Hospitalier Universitaire de Liège - CHU > > Service d'anesthésie - réanimation
Guillouet, Erwan; Department of Anesthesiology, Intensive Care and Perioperative Medicine, Caen Normandy University Hospital, 6th Floor, Caen, France ; Medical School, University of Caen Normandy, Caen, France
Philippon, Anne-Laure; Department of Emergency Medicine, Pitié Salpêtrière University Hospital, APHP, Paris, France
Brissaud, Olivier; Department of Pediatric Intensive Care, Pellegrin University Hospital, Bordeaux, France
Lefevre-Scelles, Antoine; Department of Emergency Medicine, Rouen University Hospital, Rouen, France
Benhamou, Dan; Department of Anesthesiology, Intensive Care and Perioperative Medicine, Kremlin Bicêtre University Hospital, APHP, Paris, France
Lecomte, François; Department of Emergency Medicine, Cochin University Hospital, APHP, Paris, France
van der Vleuten CPM, Schuwirth LWT. Assessment in the context of problem-based learning. Adv Health Sci Educ Theory Pract. 2019;24:903–14. DOI: 10.1007/s10459-019-09909-1
Boulet JR. Summative assessment in medicine: the promise of simulation for high-stakes evaluation. Acad Emerg Med. 2008;15:1017–24. DOI: 10.1111/j.1553-2712.2008.00228.x
Green M, Tariq R, Green P. Improving patient safety through simulation training in anesthesiology: where are we? Anesthesiol Res Pract. 2016;2016:4237523.
Krage R, Erwteman M. State-of-the-art usage of simulation in anesthesia: skills and teamwork. Curr Opin Anaesthesiol. 2015;28:727–34. DOI: 10.1097/ACO.0000000000000257
Askew K, Manthey DE, Potisek NM, Hu Y, Goforth J, McDonough K, et al. Practical application of assessment principles in the development of an innovative clinical performance evaluation in the entrustable professional activity era. Med Sci Educ. 2020;30:499–504. DOI: 10.1007/s40670-019-00841-y
Wass V, Van der Vleuten C, Shatzer J, Jones R. Assessment of clinical competence. Lancet. 2001;357:945–9. DOI: 10.1016/S0140-6736(00)04221-5
Boulet JR, Murray D. Review article: assessment in anesthesiology education. Can J Anaesth. 2012;59:182–92. DOI: 10.1007/s12630-011-9637-9
Bauer D, Lahner F-M, Schmitz FM, Guttormsen S, Huwendiek S. An overview of and approach to selecting appropriate patient representations in teaching and summative assessment in medical education. Swiss Med Wkly. 2020;150: w20382. DOI: 10.4414/smw.2020.20382
Park CS. Simulation and quality improvement in anesthesiology. Anesthesiol Clin. 2011;29:13–28. DOI: 10.1016/j.anclin.2010.11.010
Higham H, Baxendale B. To err is human: use of simulation to enhance training and patient safety in anaesthesia. British Journal of Anaesthesia [Internet]. 2017 [cited 2021 Sep 16];119:i106–14. Available from: https://www.sciencedirect.com/science/article/pii/S0007091217541215.
Mann S, Truelove AH, Beesley T, Howden S, Egan R. Resident perceptions of competency-based medical education. Can Med Educ J. 2020;11:e31-43.
Khan KZ3, Ramachandran S, Gaunt K, Pushkar P. The objective structured clinical examination (OSCE): AMEE Guide No. 81. Part I: an historical and theoretical perspective. Med Teach. 2013;35(9):e1437-1446. DOI: 10.3109/0142159X.2013.818634
Daniels VJ, Pugh D. Twelve tips for developing an OSCE that measures what you want. Med Teach. 2018;40:1208–13. DOI: 10.1080/0142159X.2017.1390214
Humphrey-Murto S, Varpio L, Gonsalves C, Wood TJ. Using consensus group methods such as Delphi and Nominal Group in medical education research. Med Teach. 2017;39:14–9. DOI: 10.1080/0142159X.2017.1245856
Haute Autorité de Santé. Recommandations par consensus formalisé (RCF) [Internet]. Haute Autorité de Santé. 2011 [cited 2020 Oct 29]. Available from: https://www.has-sante.fr/jcms/c_272505/fr/recommandations-par-consensus-formalise-rcf.
Humphrey-Murto S, Varpio L, Wood TJ, Gonsalves C, Ufholz L-A, Mascioli K, et al. The use of the delphi and other consensus group methods in medical education research: a review. Academic Medicine [Internet]. 2017 [cited 2021 Jul 20];92:1491–8. Available from: https://journals.lww.com/academicmedicine/Fulltext/2017/10000/The_Use_of_the_Delphi_and_Other_Consensus_Group.38.aspx.
Booth A, Sutton A, Papaioannou D. Systematic approaches to a successful literature review [Internet]. Second edition. Los Angeles: Sage; 2016. Available from: https://uk.sagepub.com/sites/default/files/upm-assets/78595_book_item_78595.pdf.
Morgan DL. Snowball Sampling. In: Given LM, editor. The Sage encyclopedia of qualitative research methods [Internet]. Los Angeles, Calif: Sage Publications; 2008. p. 815–6. Available from: http://www.yanchukvladimir.com/docs/Library/Sage%20Encyclopedia%20of%20Qualitative%20Research%20Methods-%202008.pdf.
ten Cate O, Scheele F. Competency-based postgraduate training: can we bridge the gap between theory and clinical practice? Acad Med. 2007;82:542–7. DOI: 10.1097/ACM.0b013e31805559c7
Miller GE. The assessment of clinical skills/competence/performance. Acad Med. 1990;65:S63-67. DOI: 10.1097/00001888-199009000-00045
Epstein RM. Assessment in medical education. N Engl J Med. 2007;356:387–96. DOI: 10.1056/NEJMra054784
Boulet JR, Murray DJ. Simulation-based assessment in anesthesiology: requirements for practical implementation. Anesthesiology. 2010;112:1041–52. DOI: 10.1097/ALN.0b013e3181cea265
Bédard D, Béchard JP. L’innovation pédagogique dans le supérieur : un vaste chantier. Innover dans l’enseignement supérieur. Paris: Presses Universitaires de France; 2009. p. 29–43.
Biggs J. Enhancing teaching through constructive alignment. High Educ [Internet]. 1996 [cited 2020 Oct 25];32:347–64. Available from: https://doi.org/10.1007/BF00138871.
Wong AK. Full scale computer simulators in anesthesia training and evaluation. Can J Anaesth. 2004;51:455–64. DOI: 10.1007/BF03018308
Messick S. Evidence and ethics in the evaluation of tests. Educational Researcher [Internet]. 1981 [cited 2020 Mar 19];10:9–20. Available from: http://journals.sagepub.com/doi/ https://doi.org/10.3102/0013189X010009009.
Bould MD, Crabtree NA, Naik VN. Assessment of procedural skills in anaesthesia. Br J Anaesth. 2009;103:472–83. DOI: 10.1093/bja/aep241
Schuwirth LWT, van der Vleuten CPM. Programmatic assessment and Kane’s validity perspective. Med Educ. 2012;46:38–48. DOI: 10.1111/j.1365-2923.2011.04098.x
Brailovsky C, Charlin B, Beausoleil S, Coté S, Van der Vleuten C. Measurement of clinical reflective capacity early in training as a predictor of clinical reasoning performance at the end of residency: an experimental study on the script concordance test. Med Educ. 2001;35:430–6. DOI: 10.1046/j.1365-2923.2001.00911.x
van der Vleuten CPM, Schuwirth LWT. Assessing professional competence: from methods to programmes. Med Educ. 2005;39:309–17. DOI: 10.1111/j.1365-2929.2005.02094.x
Gordon M, Farnan J, Grafton-Clarke C, Ahmed R, Gurbutt D, McLachlan J, et al. Non-technical skills assessments in undergraduate medical education: a focused BEME systematic review: BEME Guide No. 54. Med Teach. 2019;41(7):732–45. DOI: 10.1080/0142159X.2018.1562166
Jouquan J. L’évaluation des apprentissages des étudiants en formation médicale initiale. Pédagogie Médicale [Internet]. 2002 [cited 2020 Feb 2];3:38–52. Available from: http://www.pedagogie-medicale.org/ https://doi.org/10.1051/pmed:2002006.
Gale TCE, Roberts MJ, Sice PJ, Langton JA, Patterson FC, Carr AS, et al. Predictive validity of a selection centre testing non-technical skills for recruitment to training in anaesthesia. Br J Anaesth. 2010;105:603–9. DOI: 10.1093/bja/aeq228
Gallagher CJ, Tan JM. The current status of simulation in the maintenance of certification in anesthesia. Int Anesthesiol Clin. 2010;48:83–99. DOI: 10.1097/AIA.0b013e3181eace5e
S DeMaria Jr ST Samuelson AD Schwartz AJ Sim AI Levine Simulation-based assessment and retraining for the anesthesiologist seeking reentry to clinical practice: a case series. Anesthesiology [Internet]. 2013 [cited 2021 Sep 6];119:206–17 Available from: https://doi.org/10.1097/ALN.0b013e31829761c8.
Amin Z, Boulet JR, Cook DA, Ellaway R, Fahal A, Kneebone R, et al. Technology-enabled assessment of health professions education: consensus statement and recommendations from the Ottawa 2010 conference. Medical Teacher [Internet]. 2011 [cited 2021 Jul 7];33:364–9. Available from: http://www.tandfonline.com/doi/full/ https://doi.org/10.3109/0142159X.2011.565832.
Scallon G. L’évaluation des apprentissages dans une approche par compétences. Bruxelles: De Boeck Université-Bruxelles; 2007.
Downing SM. Validity: on meaningful interpretation of assessment data. Med Educ. 2003;37:830–7. DOI: 10.1046/j.1365-2923.2003.01594.x
Cook DA, Hatala R. Validation of educational assessments: a primer for simulation and beyond. Adv Simul [Internet]. 2016 [cited 2021 Aug 24];1:31. Available from: http://advancesinsimulation.biomedcentral.com/articles/ https://doi.org/10.1186/s41077-016-0033-y.
Kane MT. Validating the interpretations and uses of test scores. Journal of Educational Measurement [Internet]. 2013 [cited 2020 Sep 9];50:1–73. Available from: https://onlinelibrary.wiley.com/doi/abs/ https://doi.org/10.1111/jedm.12000.
Cook DA, Brydges R, Ginsburg S, Hatala R. A contemporary approach to validity arguments: a practical guide to Kane’s framework. Med Educ. 2015;49:560–75. DOI: 10.1111/medu.12678
DA Cook B Zendejas SJ Hamstra R Hatala R Brydges What counts as validity evidence? Examples and prevalence in a systematic review of simulation-based assessment. Adv in Health Sci Educ [Internet]. 2014 [cited 2020 Feb 2];19:233–50 Available from: https://doi.org/10.1007/s10459-013-9458-4.
Cook DA, Lineberry M. Consequences validity evidence: evaluating the impact of educational assessments. Acad Med [Internet]. 2016 [cited 2020 Oct 24];91:785–95. Available from: http://journals.lww.com/00001888-201606000-00018.
Tavakol M, Dennick R. Post-examination analysis of objective tests. Med Teach. 2011;33:447–58. DOI: 10.3109/0142159X.2011.564682
Messick S. The interplay of evidence and consequences in the validation of performance assessments. Educational Researcher [Internet]. 1994 [cited 2021 Feb 15];23:13–23. Available from: http://journals.sagepub.com/doi/ https://doi.org/10.3102/0013189X023002013.
Validity MS. Education measurement. 3rd ed. New York: R. L. Linn; 1989. p. 13–103.
Oriot D, Darrieux E, Boureau-Voultoury A, Ragot S, Scépi M. Validation of a performance assessment scale for simulated intraosseous access. Simul Healthc. 2012;7:171–5. DOI: 10.1097/SIH.0b013e31824a5c20
Guise J-M, Deering SH, Kanki BG, Osterweil P, Li H, Mori M, et al. Validation of a tool to measure and promote clinical teamwork. Simul Healthc. 2008;3:217–23. DOI: 10.1097/SIH.0b013e31816fdd0a
Sousa VD, Rojjanasrirat W. Translation, adaptation and validation of instruments or scales for use in cross-cultural health care research: a clear and user-friendly guideline: Validation of instruments or scales. Journal of Evaluation in Clinical Practice. 2011 [cited 2022 Jul 22];17:268–74. Available from: https://onlinelibrary.wiley.com/doi/ https://doi.org/10.1111/j.1365-2753.2010.01434.x.
Stoyanova-Piroth G, Milanov I, Stambolieva K. Translation, adaptation and validation of the Bulgarian version of the King’s Parkinson’s Disease Pain Scale. BMC Neurol [Internet]. 2021 [cited 2022 Jul 22];21:357. Available from: https://bmcneurol.biomedcentral.com/articles/ https://doi.org/10.1186/s12883-021-02392-5.
Behari M, Srivastava A, Achtani R, Nandal N, Dutta R. Pain assessment in Indian Parkinson’s disease patients using King’s Parkinson’s disease pain scale. Ann Indian Acad Neurol [Internet]. 2020 [cited 2022 Jul 22];0:0. Available from: http://www.annalsofian.org/preprintarticle.asp?id=300170;type=0.
Guillemin F, Bombardier C, Beaton D. Cross-cultural adaptation of health-related quality of life measures: literature review and proposed guidelines. Journal of Clinical Epidemiology [Internet]. 1993 [cited 2022 Jul 22];46:1417–32. Available from: https://linkinghub.elsevier.com/retrieve/pii/089543569390142N.
Franc JM, Verde M, Gallardo AR, Carenzo L, Ingrassia PL. An Italian version of the Ottawa crisis resource management global rating scale: a reliable and valid tool for assessment of simulation performance. Intern Emerg Med. 2017;12:651–6. DOI: 10.1007/s11739-016-1486-7
Gosselin É, Marceau M, Vincelette C, Daneau C-O, Lavoie S, Ledoux I. French translation and validation of the Mayo High Performance Teamwork Scale for nursing students in a high-fidelity simulation context. Clinical Simulation in Nursing [Internet]. 2019 [cited 2022 Jul 25];30:25–33. Available from: https://linkinghub.elsevier.com/retrieve/pii/S1876139918301890.
Sánchez-Marco M, Escribano S, Cabañero-Martínez M-J, Espinosa-Ramírez S, José Muñoz-Reig M, Juliá-Sanchis R. Cross-cultural adaptation and validation of two crisis resource management scales. International Emergency Nursing [Internet]. 2021 [cited 2022 Jul 25];57:101016. Available from: https://www.sciencedirect.com/science/article/pii/S1755599X21000549.
Schuwirth LWT, Van der Vleuten CPM. Programmatic assessment: from assessment of learning to assessment for learning. Medical Teacher [Internet]. 2011 [cited 2021 Sep 6];33:478–85. Available from: http://www.tandfonline.com/doi/full/ https://doi.org/10.3109/0142159X.2011.565828.
Maignan M, Koch F-X, Chaix J, Phellouzat P, Binauld G, Collomb Muret R, et al. Team Emergency Assessment Measure (TEAM) for the assessment of non-technical skills during resuscitation: validation of the French version. Resuscitation [Internet]. 2016 [cited 2019 Mar 12];101:115–20. Available from: http://www.sciencedirect.com/science/article/pii/S0300957215008989.
Pires S, Monteiro S, Pereira A, Chaló D, Melo E, Rodrigues A. Non-technical skills assessment for prelicensure nursing students: an integrative review. Nurse Educ Today. 2017;58:19–24. DOI: 10.1016/j.nedt.2017.07.015
Khan R, Payne MWC, Chahine S. Peer assessment in the objective structured clinical examination: a scoping review. Med Teach. 2017;39:745–56. DOI: 10.1080/0142159X.2017.1309375
Hegg RM, Ivan KF, Tone J, Morten A. Comparison of peer assessment and faculty assessment in an interprofessional simulation-based team training program. Nurse Educ Pract. 2019;42: 102666. DOI: 10.1016/j.nepr.2019.102666
Scavone BM, Sproviero MT, McCarthy RJ, Wong CA, Sullivan JT, Siddall VJ, et al. Development of an objective scoring system for measurement of resident performance on the human patient simulator. Anesthesiology. 2006;105:260–6. DOI: 10.1097/00000542-200608000-00008
Oriot D, Bridier A, Ghazali DA. Development and assessment of an evaluation tool for team clinical performance: the Team Average Performance Assessment Scale (TAPAS). Health Care : Current Reviews [Internet]. 2016 [cited 2018 Jan 17];4:1–7. Available from: https://www.omicsonline.org/open-access/development-and-assessment-of-an-evaluation-tool-for-team-clinicalperformance-the-team-average-performance-assessment-scale-tapas-2375-4273-1000164.php?aid=72394.
Mishra A, Catchpole K, McCulloch P. The Oxford NOTECHS System: reliability and validity of a tool for measuring teamwork behaviour in the operating theatre. Quality and Safety in Health Care [Internet]. 2009 [cited 2021 Jul 6];18:104–8. Available from: https://qualitysafety.bmj.com/lookup/doi/ https://doi.org/10.1136/qshc.2007.024760.
Cooper S, Cant R, Porter J, Sellick K, Somers G, Kinsman L, et al. Rating medical emergency teamwork performance: development of the Team Emergency Assessment Measure (TEAM). Resuscitation. 2010;81:446–52. DOI: 10.1016/j.resuscitation.2009.11.027
Adler MD, Trainor JL, Siddall VJ, McGaghie WC. Development and evaluation of high-fidelity simulation case scenarios for pediatric resident education. Ambul Pediatr. 2007;7:182–6. DOI: 10.1016/j.ambp.2006.12.005
Brydges R, Hatala R, Zendejas B, Erwin PJ, Cook DA. Linking simulation-based educational assessments and patient-related outcomes: a systematic review and meta-analysis. Acad Med. 2015;90:246–56. DOI: 10.1097/ACM.0000000000000549
Cazzell M, Howe C. Using Objective Structured Clinical Evaluation for Simulation Evaluation: Checklist Considerations for Interrater Reliability. Clinical Simulation In Nursing [Internet]. 2012;8(6):e219–25. [cited 2019 Dec 14] Available from: https://www.nursingsimulation.org/article/S1876-1399(11)00249-0/abstract.
Maignan M, Viglino D, Collomb Muret R, Vejux N, Wiel E, Jacquin L, et al. Intensity of care delivered by prehospital emergency medical service physicians to patients with deliberate self-poisoning: results from a 2-day cross-sectional study in France. Intern Emerg Med. 2019;14:981–8. DOI: 10.1007/s11739-019-02108-1
Alcaraz-Mateos E, Jiang X “Sara,” Mohammed AAR, Turic I, Hernández-Sabater L, Caballero-Alemán F, et al. A novel simulator model and standardized assessment tools for fine needle aspiration cytology training. Diagn Cytopathol [Internet]. 2019 [cited 2020 Feb 3];47:297–301. Available from: http://doi.wiley.com/ https://doi.org/10.1002/dc.24105.
I Ghaderi M Vaillancourt G Sroka PA Kaneva MC Vassiliou I Choy Evaluation of surgical performance during laparoscopic incisional hernia repair: a multicenter study. Surg Endosc [Internet]. et al 2011 [cited 2020 Feb 2];25:2555–63 Available from: https://doi.org/10.1007/s00464-011-1586-4.
IJgosse WM, Leijte E, Ganni S, Luursema J-M, Francis NK, Jakimowicz JJ, et al. Competency assessment tool for laparoscopic suturing: development and reliability evaluation. Surg Endosc. 2020;34(7):2947–53. DOI: 10.1007/s00464-019-07077-2
Pelaccia T, Tardif J. In: Comment [mieux] former et évaluer les étudiants en médecine et en sciences de la santé? 1ère. Louvain-la-Neuve: De Boeck supérieur; 2016. p. 343–56. (Guides pratiques).
Henricksen JW, Altenburg C, Reeder RW. Operationalizing healthcare simulation psychological safety: a descriptive analysis of an intervention. Simul Healthc. 2017;12:289–97. DOI: 10.1097/SIH.0000000000000253
Gaba DM. Simulations that are challenging to the psyche of participants: how much should we worry and about what? Simulation in Healthcare: The Journal of the Society for Simulation in Healthcare [Internet]. 2013 [cited 2020 Mar 17];8:4–7. Available from: http://journals.lww.com/01266021-201302000-00002.
Ghazali DA, Breque C, Sosner P, Lesbordes M, Chavagnat J-J, Ragot S, et al. Stress response in the daily lives of simulation repeaters. A randomized controlled trial assessing stress evolution over one year of repetitive immersive simulations. PLoS One. 2019;14(7):e0220111. DOI: 10.1371/journal.pone.0220111
Rudolph JW, Simon R, Raemer DB, Eppich WJ. Debriefing as formative assessment: closing performance gaps in medical education. Acad Emerg Med. 2008;15:1010–6. DOI: 10.1111/j.1553-2712.2008.00248.x
Kang SJ, Min HY. Psychological safety in nursing simulation. Nurse Educ. 2019;44:E6-9. DOI: 10.1097/NNE.0000000000000571
Howard SK, Gaba DM, Smith BE, Weinger MB, Herndon C, Keshavacharya S, et al. Simulation study of rested versus sleep-deprived anesthesiologists. Anesthesiology. 2003;98(6):1345–55.
Neuschwander A, Job A, Younes A, Mignon A, Delgoulet C, Cabon P, et al. Impact of sleep deprivation on anaesthesia residents’ non-technical skills: a pilot simulation-based prospective randomized trial. Br J Anaesth. 2017;119:125–31. DOI: 10.1093/bja/aex155
Eastridge BJ, Hamilton EC, O’Keefe GE, Rege RV, Valentine RJ, Jones DJ, et al. Effect of sleep deprivation on the performance of simulated laparoscopic surgical skill. Am J Surg. 2003;186:169–74. DOI: 10.1016/S0002-9610(03)00183-1
Boulet JR, Murray D, Kras J, Woodhouse J, McAllister J, Ziv A. Reliability and validity of a simulation-based acute care skills assessment for medical students and residents. Anesthesiology. 2003;99:1270–80. DOI: 10.1097/00000542-200312000-00007
Levine AI, Flynn BC, Bryson EO, Demaria S. Simulation-based Maintenance of Certification in Anesthesiology (MOCA) course optimization: use of multi-modality educational activities. J Clin Anesth. 2012;24:68–74. DOI: 10.1016/j.jclinane.2011.06.011
Boulet JR, Murray D, Kras J, Woodhouse J. Setting performance standards for mannequin-based acute-care scenarios: an examinee-centered approach. Simul Healthc. 2008;3:72–81. DOI: 10.1097/SIH.0b013e31816e39e2
Furman GE, Smee S, Wilson C. Quality assurance best practices for simulation-based examinations. Simul Healthc. 2010;5:226–31. DOI: 10.1097/SIH.0b013e3181da5c93
Kane MT. The assessment of professional competence. Eval Health Prof [Internet]. 1992 [cited 2022 Jul 22];15:163–82. Available from: http://journals.sagepub.com/doi/ https://doi.org/10.1177/016327879201500203.
Blum RH, Boulet JR, Cooper JB, Muret-Wagstaff SL. Harvard Assessment of Anesthesia Resident Performance Research Group. Simulation-based assessment to identify critical gaps in safe anesthesia resident performance. Anesthesiol. 2014;120(1):129–41. DOI: 10.1097/ALN.0000000000000055
Rizzolo MA, Kardong-Edgren S, Oermann MH, Jeffries PR. The national league for nursing project to explore the use of simulation for high-stakes assessment: process, outcomes, and recommendations: nursing education perspectives. 2015 [cited 2020 Feb 3];36:299–303. Available from: http://Insights.ovid.com/crossref?an=00024776-201509000-00006.
Mudumbai SC, Gaba DM, Boulet JR, Howard SK, Davies MF. External validation of simulation-based assessments with other performance measures of third-year anesthesiology residents. Simul Healthc. 2012;7:73–80. DOI: 10.1097/SIH.0b013e31823d018a
Fanning RM, Gaba DM. The role of debriefing in simulation-based learning. Simul Healthc. 2007;2:115–25. DOI: 10.1097/SIH.0b013e3180315539
Savoldelli GL, Naik VN, Park J, Joo HS, Chow R, Hamstra SJ. Value of debriefing during simulated crisis managementoral versus video-assisted oral feedback. Anesthesiology. American Society of Anesthesiologists; 2006 [cited 2020 Oct 19];105:279–85. Available from: https://pubs.asahq.org/anesthesiology/article/105/2/279/6669/Value-of-Debriefing-during-Simulated-Crisis.
Haute Autorité de Santé. Guide de bonnes pratiques en simulation en santé. 2012 [cited 2020 Feb 2]. Available from: https://www.has-sante.fr/upload/docs/application/pdf/2013-01/guide_bonnes_pratiques_simulation_sante_guide.pdf.
INACSL Standards Committee. INACSL Standards of best practice: simulation. Simulation design. Clinical Simulation In Nursing. 2016 [cited 2020 Feb 2];12:S5–12. Available from: https://www.nursingsimulation.org/article/S1876-1399(16)30126-8/abstract.
Norcini J, Anderson B, Bollela V, Burch V, Costa MJ, Duvivier R, et al. Criteria for good assessment: consensus statement and recommendations from the Ottawa 2010 Conference. Med Teach. 2011;33:206–14. DOI: 10.3109/0142159X.2011.551559
Gantt LT. The effect of preparation on anxiety and performance in summative simulations. Clinical Simulation in Nursing. 2013 [cited 2020 Feb 2];9:e25–33. Available from: http://www.sciencedirect.com/science/article/pii/S1876139911001277.
Frey-Vogel AS, Scott-Vernaglia SE, Carter LP, Huang GC. Simulation for milestone assessment: use of a longitudinal curriculum for pediatric residents. Simul Healthc. 2016;11:286–92. DOI: 10.1097/SIH.0000000000000162
Durning SJ, Artino A, Boulet J, La Rochelle J, Van der Vleuten C, Arze B, et al. The feasibility, reliability, and validity of a post-encounter form for evaluating clinical reasoning. Med Teach. 2012;34:30–7. DOI: 10.3109/0142159X.2011.590557
Stone J. Moving interprofessional learning forward through formal assessment. Medical Education. 2010 [cited 2020 Feb 12];44:396–403. Available from: http://doi.wiley.com/ https://doi.org/10.1111/j.1365-2923.2009.03607.x.
Manser T, Dieckmann P, Wehner T, Rallf M. Comparison of anaesthetists’ activity patterns in the operating room and during simulation. Ergonomics. 2007;50:246–60. DOI: 10.1080/00140130601032655
Perrenoud P. Évaluation formative et évaluation certificative : postures contradictoires ou complémentaires ? Formation Professionnelle suisse. 2001 [cited 2020 Oct 29];4:25–8. Available from: https://www.unige.ch/fapse/SSE/teachers/perrenoud/php_main/php_2001/2001_13.html.
Atesok K, Hurwitz S, Anderson DD, Satava R, Thomas GW, Tufescu T, et al. Advancing simulation-based orthopaedic surgical skills training: an analysis of the challenges to implementation. Adv Orthop. 2019;2019:1–7. DOI: 10.1155/2019/2586034
Chiu M, Tarshis J, Antoniou A, Bosma TL, Burjorjee JE, Cowie N, et al. Simulation-based assessment of anesthesiology residents’ competence: development and implementation of the Canadian National Anesthesiology Simulation Curriculum (CanNASC). Can J Anesth/J Can Anesth. 2016 [cited 2020 Feb 2];63:1357–63. Available from: https://doi.org/10.1007/s12630-016-0733-8.
TC Everett RJ McKinnon E Ng P Kulkarni BCR Borges M Letal Simulation-based assessment in anesthesia: an international multicentre validation study. Can J Anesth, J Can Anesth. et al 2019 [cited 2020 Feb 2];66:1440–9 Available from: https://doi.org/10.1007/s12630-019-01488-4.
Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (General Data Protection Regulation) (Text with EEA relevance). May 4, 2016. Available from: http://data.europa.eu/eli/reg/2016/679/2016-05-04/eng.
Commission Nationale de l’Informatique et des Libertés. RGPD : passer à l’action. 2021 [cited 2021 Jul 8]. Available from: https://www.cnil.fr/fr/rgpd-passer-a-laction.
Ten Cate O, Regehr G. The power of subjectivity in the assessment of medical trainees. Acad Med. 2019;94:333–7. DOI: 10.1097/ACM.0000000000002495
Weller JM, Robinson BJ, Jolly B, Watterson LM, Joseph M, Bajenov S, et al. Psychometric characteristics of simulation-based assessment in anaesthesia and accuracy of self-assessed scores. Anaesthesia. 2005;60:245–50. DOI: 10.1111/j.1365-2044.2004.04073.x
Wikander L, Bouchoucha SL. Facilitating peer based learning through summative assessment - an adaptation of the objective structured clinical assessment tool for the blended learning environment. Nurse Educ Pract. 2018;28:40–5. DOI: 10.1016/j.nepr.2017.09.011
Gaugler BB, Rudolph AS. The influence of assessee performance variation on assessors’ judgments. Pers Psychol. 1992;45:77–98. DOI: 10.1111/j.1744-6570.1992.tb00845.x
Feldman M, Lazzara EH, Vanderbilt AA, DiazGranados D. Rater training to support high-stakes simulation-based assessments. J Contin Educ Health Prof. 2012 [cited 2019 Dec 14];32:279–86. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3646087/.
Pelgrim E a. M, Kramer AWM, Mokkink HGA, van den Elsen L, Grol RPTM, van der Vleuten CPM. In-training assessment using direct observation of single-patient encounters: a literature review. Adv Health Sci Educ Theory Pract. 2011;16(1):131–42. DOI: 10.1007/s10459-010-9235-6
Downing SM, Tekian A, Yudkowsky R. Procedures for establishing defensible absolute passing scores on performance examinations in health professions education. Teach Learn Med. 2006;18:50–7. DOI: 10.1207/s15328015tlm1801_11
Berkenstadt H, Ziv A, Gafni N, Sidi A. Incorporating simulation-based objective structured clinical examination into the Israeli National Board Examination in Anesthesiology. Anesth Analg. 2006;102:853–8. DOI: 10.1213/01.ane.0000194934.34552.ab
Hedge JW, Kavanagh MJ. Improving the accuracy of performance evaluations: comparison of three methods of performance appraiser training. J Appl Psychol. 1988;73:68–73. DOI: 10.1037/0021-9010.73.1.68
Harden RM, Stevenson M, Downie WW, Wilson GM. Assessment of clinical competence using objective structured examination. Br Med J. 1975;1:447–51. DOI: 10.1136/bmj.1.5955.447
Uzan S. Mission de recertification des médecins - Exercer une médecine de qualit | Vie publique.fr. Ministère des Solidarités et de la Santé - Ministère de l’Enseignement supérieur, de la Recherche et de l’Innovation; 2018 Nov. Available from: https://www.vie-publique.fr/rapport/37741-mission-de-recertification-des-medecins-exercer-une-medecine-de-qualit.
Mann KV, MacDonald AC, Norcini JJ. Reliability of objective structured clinical examinations: four years of experience in a surgical clerkship. Teaching and Learning in Medicine. 1990 [cited 2021 May 1];2:219–24. Available from: http://www.tandfonline.com/doi/abs/ https://doi.org/10.1080/10401339009539464.
Maintenance Of Certification in Anesthesiology (MOCA) 2.0. [cited 2021 Sep 18]. Available from: https://theaba.org/about%20moca%202.0.html.
Khan KZ, Gaunt K, Ramachandran S, Pushkar P. The Objective Structured Clinical Examination (OSCE): AMEE Guide No. 81. Part II: Organisation & Administration. Med Teach. 2013 [cited 2020 Oct 29];35:e1447–63. Available from: http://www.tandfonline.com/doi/full/ https://doi.org/10.3109/0142159X.2013.818635.
Coderre S, Woloschuk W, McLaughlin K. Twelve tips for blueprinting. Med Teach. 2009;31:322–4. DOI: 10.1080/01421590802225770
Murray DJ, Boulet JR. Anesthesiology board certification changes: a real-time example of “assessment drives learning.” Anesthesiology. 2018;128:704–6. DOI: 10.1097/ALN.0000000000002086
Roberts C, Newble D, Jolly B, Reed M, Hampton K. Assuring the quality of high-stakes undergraduate assessments of clinical competence. Med Teach. 2006;28:535–43. DOI: 10.1080/01421590600711187
Newble D. Techniques for measuring clinical competence: objective structured clinical examinations. Med Educ. 2004;38:199–203. DOI: 10.1111/j.1365-2923.2004.01755.x
Der Sahakian G, Lecomte F, Buléon C, Guevara F, Jaffrelot M, Alinier G. Référentiel sur l’élaboration de scénarios de simulation en immersion clinique. Paris: Société Francophone de Simulation en Santé; 2017 p. 22. Available from: https://sofrasims.org/wp-content/uploads/2019/10/R%C3%A9f%C3%A9rentiel-Scenario-Simulation-Sofrasims.pdf.
Lewis KL, Bohnert CA, Gammon WL, Hölzer H, Lyman L, Smith C, et al. The Association of Standardized Patient Educators (ASPE) Standards of Best Practice (SOBP). Adv Simul. 2017;2:10. DOI: 10.1186/s41077-017-0043-4
Board of Directors of the American Board of Medical Specialties (ABMS). Standards for the ABMS Program for Maintenance of Certification (MOC). American Board of Medical Specialties; 2014 Jan p. 13. Available from: https://www.abms.org/media/1109/standards-for-the-abms-program-for-moc-final.pdf.
Hodges B, McNaughton N, Regehr G, Tiberius R, Hanson M. The challenge of creating new OSCE measures to capture the characteristics of expertise. Med Educ. 2002;36:742–8. DOI: 10.1046/j.1365-2923.2002.01203.x
Hays RB, Davies HA, Beard JD, Caldon LJM, Farmer EA, Finucane PM, et al. Selecting performance assessment methods for experienced physicians. Med Educ. 2002;36:910–7. DOI: 10.1046/j.1365-2923.2002.01307.x
Ram P, Grol R, Rethans JJ, Schouten B, van der Vleuten C, Kester A. Assessment of general practitioners by video observation of communicative and medical performance in daily practice: issues of validity, reliability and feasibility. Med Educ. 1999;33:447–54. DOI: 10.1046/j.1365-2923.1999.00348.x
Weersink K, Hall AK, Rich J, Szulewski A, Dagnone JD. Simulation versus real-world performance: a direct comparison of emergency medicine resident resuscitation entrustment scoring. Adv Simul. 2019 [cited 2020 Feb 12];4:9. Available from: https://advancesinsimulation.biomedcentral.com/articles/ https://doi.org/10.1186/s41077-019-0099-4.
Buljac-Samardzic M, Doekhie KD, van Wijngaarden JDH. Interventions to improve team effectiveness within health care: a systematic review of the past decade. Hum Resour Health. 2020;18:2. DOI: 10.1186/s12960-019-0411-3
Eddy K, Jordan Z, Stephenson M. Health professionals’ experience of teamwork education in acute hospital settings: a systematic review of qualitative literature. JBI Database System Rev Implement Rep. 2016;14:96–137. DOI: 10.11124/JBISRIR-2016-1843
Leblanc VR. Review article: simulation in anesthesia: state of the science and looking forward. Can J Anaesth. 2012;59:193–202. DOI: 10.1007/s12630-011-9638-8
Hanscom R. Medical simulation from an insurer’s perspective. Acad Emerg Med. 2008;15:984–7. DOI: 10.1111/j.1553-2712.2008.00255.x
McCarthy J, Cooper JB. Malpractice insurance carrier provides premium incentive for simulation-based training and believes it has made a difference. Anesth Patient Saf Found Newsl. 2007 [cited 2021 Sep 17];17. Available from: https://www.apsf.org/article/malpractice-insurance-carrier-provides-premium-incentive-for-simulation-based-training-and-believes-it-has-made-a-difference/.
Edler AA, Fanning RG, Chen MichaelI, Claure R, Almazan D, Struyk B, et al. Patient simulation: a literary synthesis of assessment tools in anesthesiology. J Educ Eval Health Prof. 2009 [cited 2021 Sep 17];6:3. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2796725/.
Borgersen NJ, Naur TMH, Sørensen SMD, Bjerrum F, Konge L, Subhi Y, et al. Gathering validity evidence for surgical simulation: a systematic review. Annals of Surgery. 2018 [cited 2022 Sep 25];267:1063–8. Available from: https://journals.lww.com/00000658-201806000-00014.
Rudolph JW, Raemer DB, Simon R. Establishing a safe container for learning in simulation: the role of the presimulation briefing. Simul Healthc. 2014;9:339–49. DOI: 10.1097/SIH.0000000000000047
Cilliers FJ, Schuwirth LW, Adendorff HJ, Herman N, van der Vleuten CP. The mechanism of impact of summative assessment on medical students’ learning. Adv Health Sci Educ Theory Pract. 2010;15:695–715. DOI: 10.1007/s10459-010-9232-9
Hadi MA, Ali M, Haseeb A, Mohamed MMA, Elrggal ME, Cheema E. Impact of test anxiety on pharmacy students’ performance in Objective Structured Clinical Examination: a cross-sectional survey. Int J Pharm Pract. 2018;26:191–4. DOI: 10.1111/ijpp.12389
Dunn W, Dong Y, Zendejas B, Ruparel R, Farley D. Simulation, mastery learning and healthcare. Am J Med Sci. 2017;353:158–65. DOI: 10.1016/j.amjms.2016.12.012
McGaghie WC. Mastery learning: it is time for medical education to join the 21st century. Acad Med. 2015;90:1438–41. DOI: 10.1097/ACM.0000000000000911
Ng C, Primiani N, Orchanian-Cheff A. Rapid cycle deliberate practice in healthcare simulation: a scoping review. Med Sci Educ. 2021;31:2105–20. DOI: 10.1007/s40670-021-01446-0
Taras J, Everett T. Rapid cycle deliberate practice in medical education - a systematic review. Cureus. 2017;9: e1180.
Cleland JA, Abe K, Rethans J-J. The use of simulated patients in medical education: AMEE Guide No 42. Med Teach. 2009;31:477–86. DOI: 10.1080/01421590903002821
Garden AL, Le Fevre DM, Waddington HL, Weller JM. Debriefing after simulation-based non-technical skill training in healthcare: a systematic review of effective practice. Anaesth Intensive Care. 2015;43:300–8. DOI: 10.1177/0310057X1504300303
Sawyer T, Eppich W, Brett-Fleegler M, Grant V, Cheng A. More than one way to debrief: a critical review of healthcare simulation debriefing methods. Simul Healthc. 2016;11:209–17. DOI: 10.1097/SIH.0000000000000148
Rudolph JW, Simon R, Dufresne RL, Raemer DB. There’s no such thing as “nonjudgmental” debriefing: a theory and method for debriefing with good judgment. Simul Healthc. 2006;1:49–55. DOI: 10.1097/01266021-200600110-00006
Levett-Jones T, Lapkin S. A systematic review of the effectiveness of simulation debriefing in health professional education. Nurse Educ Today. 2014;34:e58-63. DOI: 10.1016/j.nedt.2013.09.020
Palaganas JC, Fey M, Simon R. Structured debriefing in simulation-based education. AACN Adv Crit Care. 2016;27:78–85. DOI: 10.4037/aacnacc2016328
Rudolph JW, Foldy EG, Robinson T, Kendall S, Taylor SS, Simon R. Helping without harming: the instructor’s feedback dilemma in debriefing–a case study. Simul Healthc. 2013;8:304–16. DOI: 10.1097/SIH.0b013e318294854e
Larsen DP, Butler AC, Roediger III HL. Test-enhanced learning in medical education. Medical Education. 2008 [cited 2021 Aug 25];42:959–66. Available from: https://onlinelibrary.wiley.com/doi/ https://doi.org/10.1111/j.1365-2923.2008.03124.x.
Koster MA, Soffler M. Navigate the challenges of simulation for assessment: a faculty development workshop. MedEdPORTAL. 2021;17:11114. DOI: 10.15766/mep_2374-8265.11114
Devitt JH, Kurrek MM, Cohen MM, Fish K, Fish P, Murphy PM, et al. Testing the raters: inter-rater reliability of standardized anaesthesia simulator performance. Can J Anaesth. 1997;44:924–8. DOI: 10.1007/BF03011962
Kelly MA, Mitchell ML, Henderson A, Jeffrey CA, Groves M, Nulty DD, et al. OSCE best practice guidelines—applicability for nursing simulations. Adv Simul. 2016 [cited 2020 Feb 3];1:10. Available from: http://advancesinsimulation.biomedcentral.com/articles/ https://doi.org/10.1186/s41077-016-0014-1.
Weinger MB, Banerjee A, Burden AR, McIvor WR, Boulet J, Cooper JB, et al. Simulation-based assessment of the management of critical events by board-certified anesthesiologists. Anesthesiology. 2017;127:475–89. DOI: 10.1097/ALN.0000000000001739
Sinz E, Banerjee A, Steadman R, Shotwell MS, Slagle J, McIvor WR, et al. Reliability of simulation-based assessment for practicing physicians: performance is context-specific. BMC Med Educ. 2021;21:207. DOI: 10.1186/s12909-021-02617-8
Ryall T, Judd BK, Gordon CJ. Simulation-based assessments in health professional education: a systematic review. J Multidiscip Healthc. 2016;9:69–82.