Mastery learning for health professionals using technology-enhanced simulation: A systematic review and meta-analysis

Academic Medicine

Volumn 88, Issue 8, 2013, Pages 1178-1186

  Cook, David A ^a,b   Brydges, Ryan ^c   Zendejas, Benjamin ^d   Hamstra, Stanley J ^e   Hatala, Rose ^e,f  

^a MAYO CLINIC   (United States)

^b UNIVERSITY OF TORONTO   (Canada)

^c Mayo Clinic   (United States)

^d Academy for Innovation in Medical Education   (United States)

^e UNIVERSITY OF OTTAWA   (Canada)

^f UNIVERSITY OF BRITISH COLUMBIA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84882451478     PISSN: 10402446     EISSN: 1938808X     Source Type: Journal    
DOI: 10.1097/ACM.0b013e31829a365d     Document Type: Review

References (54)

1. Emanuel EJ, Fuchs VR. Shortening medical training by 30%. JAMA. 2012;307:1143-1144.
2. Hodges BD. A tea-steeping or i-Doc model for medical education Acad Med. 2010;85 (9 suppl):S34-S44.
3. Ludmerer KM, Johns MM. Reforming graduate medical education. JAMA. 2005;294:1083-1087.
4. Cooke M, Irby DM, O'Brien BC. Educating Physicians: A Call for Reform of Medical School and Residency. San Francisco, Calif: Jossey-Bass; 2010.
5. Weinberger SE, Pereira AG, Iobst WF, Mechaber AJ, Bronze MS; Alliance for Academic Internal Medicine Education Redesign Task Force II. Competency-based education and training in internal medicine. Ann Intern Med. 2010;153:751-756.
6. Green ML, Aagaard EM, Caverzagie KJ, et al. Charting the road to competence: Developmental milestones for internal medicine residency training. J Grad Med Educ. 2009;1:5-20.
7. Block JH, Burns RB. Mastery learning. Rev Res Educ. 1976;4:3-49.
8. McGaghie WC, Issenberg SB, Petrusa ER, Scalese RJ. A critical review of simulationbased medical education research: 2003-2009. Med Educ. 2010;44:50-63.
9. Cook DA, Hatala R, Brydges R, et al. Technology-enhanced simulation for health professions education: A systematic review and meta-analysis. JAMA. 2011;306:978-988.
10. Kulik C-LC, Kulik JA, Bangert-Drowns RL. Effectiveness of mastery learning programs: A meta-analysis. Rev Educ Res. 1990;60: 265-299.
11. Moher D, Liberati A, Tetzlaff J, Altman DG; PRISMA Group. Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. Ann Intern Med. 2009;151:264-269, W64.
12. Cook DA, Hamstra SJ, Brydges R, et al. Comparative effectiveness of instructional design features in simulation-based education: Systematic review and metaanalysis. Med Teach. 2013;35:e867-e898.
13. McGaghie WC, Issenberg SB, Cohen ER, Barsuk JH, Wayne DB. Does simulationbased medical education with deliberate practice yield better results than traditional clinical education A meta-analytic comparative review of the evidence. Acad Med. 2011;86:706-711.
14. Reed DA, Cook DA, Beckman TJ, Levine RB, Kern DE, Wright SM. Association between funding and quality of published medical education research. JAMA. 2007;298: 1002-1009.
15. Wells GA, Shea B, O'Connell D, et al. The Newcastle-Ottawa Scale (NOS) for assessing the quality of nonrandomised studies in meta-analyses. http://www.ohri.ca/programs/clinical-epidemiology/oxford.htm. Accessed April 18, 2013.
16. Cook DA, Levinson AJ, Garside S, Dupras DM, Erwin PJ, Montori VM. Internet-based learning in the health professions: A metaanalysis. JAMA. 2008;300:1181-1196.
17. Higgins JP, Thompson SG, Deeks JJ, Altman DG. Measuring inconsistency in metaanalyses. BMJ. 2003;327:557-560.
18. Cohen J. Statistical Power Analysis for the Behavioral Sciences. 2nd ed. Hillsdale, NJ: Lawrence Erlbaum; 1988.
19. Bonnetain E, Boucheix JM, Hamet M, Freysz M. Benefits of computer screenbased simulation in learning cardiac arrest procedures. Med Educ. 2010;44:716-722.
20. Limpaphayom K, Ajello C, Reinprayoon D, Lumbiganon P, Graffikin L. The effectiveness of model-based training in accelerating IUD skill acquisition. A study of midwives in Thailand. Br J Fam Plann. 1997;23:58-61.
21. Naik VN, Matsumoto ED, Houston PL, et al. Fiberoptic orotracheal intubation on anesthetized patients: Do manipulation skills learned on a simple model transfer into the operating room Anesthesiology. 2001;95:343-348.
22. Tanoue K, Yasunaga T, Konishi K, et al. Effectiveness of training for endoscopic surgery using a simulator with virtual reality: Randomized study. Int Congr Ser. 2005;1281:515-520.
23. Salvendy G, Pilitsis J. The development and validation of an analytical training program for medical suturing. Hum Factors. 1980;22:153-170.
24. Stewart RD, Paris PM, Pelton GH, Garretson D. Effect of varied training techniques on field endotracheal intubation success rates. Ann Emerg Med. 1984;13:1032-1036.
25. Stratton SJ, Kane G, Gunter CS, et al. Prospective study of manikin-only versus manikin and human subject endotracheal intubation training of paramedics. Ann Emerg Med. 1991;20:1314-1318.
26. Domuracki KJ, Moule CJ, Owen H, Kostandoff G, Plummer JL. Learning on a simulator does transfer to clinical practice. Resuscitation. 2009;80:346-349.
27. Gauger PG, Hauge LS, Andreatta PB, et al. Laparoscopic simulation training with proficiency targets improves practice and performance of novice surgeons. Am J Surg. 2010;199:72-80.
28. Brydges R, Carnahan H, Rose D, Dubrowski A. Comparing self-guided learning and educator-guided learning formats for simulation-based clinical training. J Adv Nurs. 2010;66:1832-1844.
29. Lammers RL. Learning and retention rates after training in posterior epistaxis management. Acad Emerg Med. 2008;15:1181-1189.
30. Rosenthal ME, Castellvi AO, Goova MT, Hollett LA, Dale J, Scott DJ. Pretraining on Southwestern stations decreases training time and cost for proficiency-based fundamentals of laparoscopic surgery training. J Am Coll Surg. 2009;209:626-631.
31. Stefanidis D, Hope WW, Korndorffer JR Jr, Markley S, Scott DJ. Initial laparoscopic basic skills training shortens the learning curve of laparoscopic suturing and is cost-effective. J Am Coll Surg. 2010;210:436-440.
32. Kovacs G, Bullock G, Ackroyd-Stolarz S, Cain E, Petrie D. A randomized controlled trial on the effect of educational interventions in promoting airway management skill maintenance. Ann Emerg Med. 2000;36: 301-309.
33. Stefanidis D, Korndorffer JR Jr, Markley S, Sierra R, Scott DJ. Proficiency maintenance: Impact of ongoing simulator training on laparoscopic skill retention. J Am Coll Surg. 2006;202:599-603.
34. Arora S, Aggarwal R, Sirimanna P, et al. Mental practice enhances surgical technical skills: A randomized controlled study. Ann Surg. 2011;253:265-270.
35. McDougall EM, Kolla SB, Santos RT, et al. Preliminary study of virtual reality and model simulation for learning laparoscopic suturing skills. J Urol. 2009;182:1018-1025.
36. Brydges R, Butler D. A reflective analysis of medical education research on self-regulation in learning and practice. Med Educ. 2012;46:71-79.
37. Snyder CW, Vandromme MJ, Tyra SL, Porterfield JR Jr, Clements RH, Hawn MT. Effects of virtual reality simulator training method and observational learning on surgical performance. World J Surg. 2011;35:245-252.
38. van de Ridder JM, Stokking KM, McGaghie WC, ten Cate OT. What is feedback in clinical education Med Educ. 2008;42:189-197.
39. Stefanidis D, Korndorffer JR Jr, Heniford BT, Scott DJ. Limited feedback and video tutorials optimize learning and resource utilization during laparoscopic simulator training. Surgery. 2007;142:202-206.
40. Lee TD, White MA, Carnahan H. On the role of knowledge of results in motor learning: Exploring the guidance hypothesis. J Mot Behav. 1990;22:191-208.
41. Hamilton EC, Scott DJ, Fleming JB, et al. Comparison of video trainer and virtual reality training systems on acquisition of laparoscopic skills. Surg Endosc. 2002;16:406-411.
42. Hoadley TA. Learning advanced cardiac life support: A comparison study of the effects of low-and high-fidelity simulation. Nurs Educ Perspect. 2009;30:91-95.
43. Scerbo MW, Bliss JP, Schmidt EA, Thompson SN. The efficacy of a medical virtual reality simulator for training phlebotomy. Hum Factors. 2006;48:72-84.
44. Thompson JR, Leonard AC, Doarn CR, Roesch MJ, Broderick TJ. Limited value of haptics in virtual reality laparoscopic cholecystectomy training. Surg Endosc. 2011;25:1107-1114.
45. Rosenthal ME, Adachi M, Ribaudo V, Mueck JT, Schneider RF, Mayo PH. Achieving housestaff competence in emergency airway management using scenario based simulation training: Comparison of attending vs housestaff trainers. Chest. 2006;129: 1453-1458.
46. Stefanidis D, Korndorffer JR Jr, Markley S, Sierra R, Heniford BT, Scott DJ. Closing the gap in operative performance between novices and experts: Does harder mean better for laparoscopic simulator training J Am Coll Surg. 2007;205:307-313.
47. Uchal M, Raftopoulos Y, Tjugum J, Bergamaschi R. Validation of a six-task simulation model in minimally invasive surgery. Surg Endosc. 2005;19:109-116.
48. Molinas CR, Campo R. Defining a structured training program for acquiring basic and advanced laparoscopic psychomotor skills in a simulator. Gynecol Surg. 2010;7: 427-435.
49. Cook DA, Erwin PJ, Triola MM. Computerized virtual patients in health professions education: A systematic review and meta-analysis. Acad Med. 2010;85: 1589-1602.
50. Oxman AD, Guyatt GH. A consumer's guide to subgroup analyses. Ann Intern Med. 1992;116:78-84.
51. Lau J, Ioannidis JP, Terrin N, Schmid CH, Olkin I. The case of the misleading funnel plot. BMJ. 2006;333:597-600.
52. Terrin N, Schmid CH, Lau J, Olkin I. Adjusting for publication bias in the presence of heterogeneity. Stat Med. 2003;22:2113-2126.
53. Issenberg SB, McGaghie WC, Petrusa ER, Lee Gordon D, Scalese RJ. Features and uses of high-fidelity medical simulations that lead to effective learning: A BEME systematic review. Med Teach. 2005;27:10-28.
54. Cook DA, Bordage G, Schmidt HG. Description, justification and clarification: A framework for classifying the purposes of research in medical education. Med Educ. 2008;42:128-133.