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A Systematic Review and Meta-analysis on the Impact of Proficiency-based Progression Simulation Training on Performance Outcomes
Open accessAbstract
Objective: To analyze all published prospective, randomized, and blinded clinical studies on the proficiency-based progression (PBP) training using objective performance metrics. Background: The benefit of PBP methodology to learning clinical skills in comparison to conventional training is not settled. Methods: Search of PubMed, Cochrane library's Central, EMBASE, MEDLINE, and Scopus databases, from inception to 1st March 2020. Two independent reviewers extracted the data. The Medical Education Research Study Quality Instrument (MERSQI) was used to assess the methodological quality of included studies. Results were pooled using biased corrected standardized mean difference and ratio-of-means. Summary effects were evaluated using a series of fixed and random effects models. The primary outcome was the number of procedural errors performed comparing PBP and non-PBP-based training pathways. Secondary outcomes were the number of procedural steps completed and the time to complete the task/procedure. Results: From the initial pool of 468 studies, 12 randomized clinical studies with a total of 239 participants were included in the analysis. In comparison to the non-PBP training, ratio-of-means results showed that PBP training reduced the number of performance errors by 60% ( P < 0.001) and procedural time by 15% ( P = 0.003) and increased the number of steps performed by 47% ( P < 0.001). Conclusions and Relevance: Our systematic review and meta-analysis confirms that PBP training in comparison to conventional or quality assured training improved trainees’ performances, by decreasing procedural errors and procedural time, while increasing the number of correct steps taken when compared to standard simulation-based training.
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Immediate feedback during simulations is a crucial factor in improvements, enabling learners to correct errors promptly and avoid the formation of bad habits.
“Immediate feedback during simulations was identified as a crucial factor in these improvements, enabling learners to correct errors promptly and avoid the formation of bad habits.”
From Formative assessment and feedback in medical education: A practical guide: AMEE Guide No. 189 (2026) · cites this paper as [104]
Simulation-based training significantly enhances clinical competence compared to traditional instructional methods.
“A meta-analysis by Mazzone et al. [104] demonstrated that simulation-based training significantly enhances clinical competence compared to traditional instructional methods.”
From Formative assessment and feedback in medical education: A practical guide: AMEE Guide No. 189 (2026) · cites this paper as [104]
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Cites
Measuring inconsistency in meta-analyses
Higgins, J. P. T., Thompson, S. G., Deeks, J. J., & Altman, D. G. (2003) · BMJ · doi:10.1136/bmj.327.7414.557 · Cited by 63,139
Bias in meta-analysis detected by a simple, graphical test
Egger, M., Smith, G. D., Schneider, M., & Minder, C. (1997) · BMJ · doi:10.1136/bmj.315.7109.629 · Cited by 56,722
Meta-analysis in clinical trials
DerSimonian, R., & Laird, N. (1986) · Controlled Clinical Trials · doi:10.1016/0197-2456(86)90046-2 · Cited by 39,552
Ericsson, K. A. (2004) · Academic Medicine · doi:10.1097/00001888-200410001-00022 · Cited by 2,988 · cited 2×
“During this practice, trainees receive continuous formative feedback in accordance to the concept of deliberate practice.(7) The level of proficiency is based on the mean performance of the experienced practitioners performing the same training tasks.”
MethodVirtual Reality Training Improves Operating Room Performance
Seymour, N. E., Gallagher, A. G., Roman, S. A., O’Brien, M. K., Bansal, V. K., Andersen, D. K., & Satava, R. M. (2002) · Annals of Surgery · doi:10.1097/00000658-200210000-00008 · Cited by 2,863
Self-citationCook, D. A., Hatala, R., Brydges, R., Zendejas, B., Szostek, J. H., Wang, A. T., Erwin, P. J., & Hamstra, S. J. (2011) · JAMA · doi:10.1001/jama.2011.1234 · Cited by 2,170
Virtual Reality Simulation for the Operating Room
Gallagher, A. G., Ritter, E. M., Champion, H. R., Higgins, G. A., Fried, M. P., Moses, G. R., Smith, C. D., & Satava, R. M. (2005) · Annals of Surgery · doi:10.1097/01.sla.0000151982.85062.80 · Cited by 1,054
Self-citationAssociation Between Funding and Quality of Published Medical Education Research
Reed, D. A., Cook, D. A., Beckman, T. J., Levine, R. B., Kern, D. E., & Wright, S. M. (2007) · JAMA · doi:10.1001/jama.298.9.1002 · Cited by 961
Ahlberg, G., Enochsson, L., Gallagher, A. G., Hedman, L., Hogman, C., McClusky, D. A., Ramel, S., Smith, C. D., & Arvidsson, D. (2007) · The American Journal of Surgery · doi:10.1016/j.amjsurg.2006.06.050 · Cited by 692
Self-citationA critical review of simulation‐based mastery learning with translational outcomes
McGaghie, W. C., Issenberg, S. B., Barsuk, J. H., & Wayne, D. B. (2014) · Medical Education · doi:10.1111/medu.12391 · Cited by 660
Virtual reality surgical simulator
Satava, R. M. (1993) · Surgical Endoscopy · doi:10.1007/bf00594110 · Cited by 563
Sutherland, L. M., Middleton, P., Anthony, A. A., Hamdorf, J. M., Cregan, P. C., Scott, D., & Maddern, G. J. (2006) · Annals of Surgery · doi:10.1097/01.sla.0000200839.93965.26 · Cited by 537
A Comprehensive Anesthesia Simulation Environment
Gaba, D. M., & DeAnda, A. (1988) · Anesthesiology · doi:10.1097/00000542-198809000-00017 · Cited by 490
Roizen, M. F. (2012) · Yearbook of Anesthesiology and Pain Management · doi:10.1016/j.yane.2012.02.026 · Cited by 434
Gurusamy, K. S., Aggarwal, R. K., Palanivelu, L. M., & Davidson, B. R. (2008) · British journal of surgery · doi:10.1002/bjs.6344 · Cited by 420
State of the Evidence on Simulation-Based Training for Laparoscopic Surgery
Zendejas, B., Brydges, R., Hamstra, S. J., & Cook, D. A. (2013) · Annals of Surgery · doi:10.1097/sla.0b013e318288c40b · Cited by 390
Friedrich, J. O., Adhikari, N. K. J., & Beyene, J. (2008) · BMC Medical Research Methodology · doi:10.1186/1471-2288-8-32 · Cited by 333
Simulation-Based Mastery Learning Improves Patient Outcomes in Laparoscopic Inguinal Hernia Repair
Zendejas, B., Cook, D. A., Bingener, J., Huebner, M., Dunn, W. F., Sarr, M. G., & Farley, D. R. (2011) · Annals of Surgery · doi:10.1097/sla.0b013e31822c6994 · Cited by 328
Principles for the Validation and Use of Personnel Selection Procedures
Anonymous (2018) · Industrial and Organizational Psychology · doi:10.1017/iop.2018.195 · Cited by 308
Eduardo Salas, A., Bowers, C. A., & Rhodenizer, L. G. (1998) · International Journal of Aviation Psychology · doi:10.1207/s15327108ijap0803_2 · Cited by 299
Friedrich, J. O., Adhikari, N. K. J., & Beyene, J. (2011) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2010.09.016 · Cited by 235
Angelo, R. L., Ryu, R. K. N., Pedowitz, R. A., Beach, W., Burns, J. P., Dodds, J., Field, L. D., Getelman, M. H., Hobgood, R. E., McIntyre, L. F., et al. (2015) · Arthroscopy The Journal of Arthroscopic and Related Surgery · doi:10.1016/j.arthro.2015.07.001 · Cited by 193
Self-citationSickle, K. R. V., Ritter, M. E., Baghai, M., et al. (2008) · Journal of the American College of Surgeons · doi:10.1016/j.jamcollsurg.2008.05.007 · Cited by 172
Stefanidis, D., Scerbo, M. W., Montero, P. N., Acker, C. E., & Smith, W. D. (2011) · Annals of Surgery · doi:10.1097/sla.0b013e318220ef31 · Cited by 166
Intervention meta-analysis: application and practice using R software
Shim, S. R., & Kim, S. (2019) · Epidemiology and Health · doi:10.4178/epih.e2019008 · Cited by 154
Metric-based simulation training to proficiency in medical education:- what it is and how to do it.
Gallagher, A. G. (2012) · PubMed · Cited by 133
Self-citationPalter, V. N., & Grantcharov, T. (2012) · Annals of Surgery · doi:10.1097/sla.0b013e318258f5aa · Cited by 131
Gauger, P. G., Hauge, L. S., Andreatta, P., et al. (2009) · The American Journal of Surgery · doi:10.1016/j.amjsurg.2009.07.034 · Cited by 101
Analysis of errors in laparoscopic surgical procedures
Seymour, N. E., Gallagher, A. G., Roman, S. A., et al. (2004) · Surgical Endoscopy · doi:10.1007/s00464-002-8927-2 · Cited by 82
Self-citationCates, C. U., Lönn, L., & Gallagher, A. G. (2016) · BMJ Simulation & Technology Enhanced Learning · doi:10.1136/bmjstel-2015-000090 · Cited by 82
Self-citationPedowitz, R. A., Nicandri, G. T., Angelo, R. L., et al. (2015) · Arthroscopy The Journal of Arthroscopic and Related Surgery · doi:10.1016/j.arthro.2015.06.021 · Cited by 76
Win, G. D., Bruwaene, S. V., Kulkarni, J. S., CALSTER, B. V., Aggarwal, R. K., Allen, C., Lissens, A., Ridder, D. J. M. K. D., & Miserez, M. (2016) · Advances in Medical Education and Practice · doi:10.2147/amep.s102000 · Cited by 76
Metric Development for an Arthroscopic Bankart Procedure: Assessment of Face and Content Validity
Angelo, R. L., Ryu, R. K. N., Pedowitz, R. A., & Gallagher, A. G. (2015) · Arthroscopy The Journal of Arthroscopic and Related Surgery · doi:10.1016/j.arthro.2015.04.093 · Cited by 74
Self-citationBrydges, R., Carnahan, H., Rose, D. N., & Dubrowski, A. (2010) · Journal of Advanced Nursing · doi:10.1111/j.1365-2648.2010.05338.x · Cited by 72
Maertens, H., Aggarwal, R. K., Moreels, N., et al. (2017) · European Journal of Vascular and Endovascular Surgery · doi:10.1016/j.ejvs.2017.06.011 · Cited by 72
Gala, R. B., Orejuela, F. J., Gerten, K., et al. (2013) · Obstetrics and Gynecology · doi:10.1097/aog.0b013e318283578b · Cited by 71
Snyder, C. W., Vandromme, M. J., Tyra, S. L., et al. (2009) · Journal of surgical education · doi:10.1016/j.jsurg.2009.07.007 · Cited by 61
Angelo, R. L., Pedowitz, R. A., Ryu, R. K. N., et al. (2015) · Arthroscopy The Journal of Arthroscopic and Related Surgery · doi:10.1016/j.arthro.2015.04.092 · Cited by 59
Kiely, D., Gotlieb, W. H., Lau, S. K., et al. (2015) · Journal of Robotic Surgery · doi:10.1007/s11701-015-0513-4 · Cited by 56
Ritter, E. M., McClusky, D. A., Gallagher, A. G., & Smith, C. D. (2005) · Surgical Innovation · doi:10.1177/155335060501200308 · Cited by 55
Self-citationSnyder, C. W., Vandromme, M. J., Tyra, S. L., Porterfield, J. R., Clements, R. H., & Hawn, M. T. (2010) · World Journal of Surgery · doi:10.1007/s00268-010-0861-1 · Cited by 52
Breen, D. M., O’Brien, S., McCarthy, N., et al. (2019) · BMJ Open · doi:10.1136/bmjopen-2018-025992 · Cited by 52
Srinivasan, K. K., Gallagher, A. G., O’Brien, N., et al. (2018) · BMJ Open · doi:10.1136/bmjopen-2017-020099 · Cited by 51
Self-citationWebster, C. S. (2005) · Anaesthesia · doi:10.1111/j.1365-2044.2005.04301.x · Cited by 50
Angelo, R. L., Ryu, R. K. N., Pedowitz, R. A., et al. (2015) · Arthroscopy The Journal of Arthroscopic and Related Surgery · doi:10.1016/j.arthro.2015.05.006 · Cited by 50
Fundamentals of Surgical Simulation
Scerbo, M. W. (2012) · Simulation in Healthcare The Journal of the Society for Simulation in Healthcare · doi:10.1097/sih.0b013e318251981f · Cited by 50
Gershuni, V. M., Woodhouse, J., & Brunt, L. M. (2013) · Surgery · doi:10.1016/j.surg.2013.07.016 · Cited by 49
Hashimoto, D. A., PETRUSA, E. R., Phitayakorn, R., Valle, C., Casey, B. W., & Gee, D. W. (2017) · Surgical Endoscopy · doi:10.1007/s00464-017-5821-5 · Cited by 47
Training in robot-assisted surgery
Puliatti, S., Mazzone, E., & Dell’Oglio, P. (2019) · Current Opinion in Urology · doi:10.1097/mou.0000000000000687 · Cited by 47
Self-citationHseino, H., Nugent, E., Lee, M. J., et al. (2012) · Simulation in Healthcare The Journal of the Society for Simulation in Healthcare · doi:10.1097/sih.0b013e31825b6308 · Cited by 45
Crossley, R. A., Liebig, T., Holtmannspoetter, M., et al. (2019) · Journal of NeuroInterventional Surgery · doi:10.1136/neurintsurg-2018-014510 · Cited by 42
Randomized trial to examine procedure-to-procedure transfer in laparoscopic simulator training
Bjerrum, F., Sørensen, J. L., Konge, L., et al. (2015) · British journal of surgery · doi:10.1002/bjs.9966 · Cited by 41
Simulator training and non‐technical factors improve laparoscopic performance among OBGYN trainees
Ahlborg, L., Hedman, L., Nisell, H., Felländer‐Tsai, L., & Enochsson, L. (2013) · Acta Obstetricia Et Gynecologica Scandinavica · doi:10.1111/aogs.12218 · Cited by 37
Bjerrum, F., Maagaard, M., Sørensen, J. L., Larsen, C. R., Ringsted, C. V., Winkel, P., Ottesen, B., & Strandbygaard, J. J. S. (2014) · Journal of surgical education · doi:10.1016/j.jsurg.2014.06.013 · Cited by 37
Jensen, U. J., Jensen, J., Ahlberg, G., et al. (2016) · EuroIntervention · doi:10.4244/eijy15m06_05 · Cited by 37
Transferability of laparoscopic skills using the virtual reality simulator
Yang, C., Kalinitschenko, U., Helmert, J. R., Weitz, J., Reißfelder, C., & Mees, S. T. (2018) · Surgical Endoscopy · doi:10.1007/s00464-018-6156-6 · Cited by 36
Puliatti, S., Mazzone, E., Amato, M., et al. (2020) · Surgical Endoscopy · doi:10.1007/s00464-020-07918-5 · Cited by 34
Self-citationVarley, M., Choi, R., Kuan, K. G., et al. (2014) · Surgical Endoscopy · doi:10.1007/s00464-014-3647-y · Cited by 32
Lemke, M., Lia, H., Gabinet‐Equihua, A., et al. (2019) · Surgical Endoscopy · doi:10.1007/s00464-019-06944-2 · Cited by 32
Vargas, M. V., Moawad, G., Denny, K., et al. (2016) · Journal of Minimally Invasive Gynecology · doi:10.1016/j.jmig.2016.12.016 · Cited by 31
Maertens, H., Vermassen, F. E. G., Aggarwal, R. K., et al. (2018) · European Journal of Vascular and Endovascular Surgery · doi:10.1016/j.ejvs.2018.07.011 · Cited by 28
Franklin, B. R., Placek, S. B., Wagner, M. D., et al. (2016) · Journal of surgical education · doi:10.1016/j.jsurg.2016.11.013 · Cited by 22
Mascheroni, J., Mont, L., Stockburger, M. A., et al. (2019) · International Journal of Cardiology · doi:10.1016/j.ijcard.2019.04.036 · Cited by 21
Peeters, S. H. P., Akkermans, J., Slaghekke, F., et al. (2015) · Ultrasound in Obstetrics and Gynecology · doi:10.1002/uog.14916 · Cited by 20
Dawidek, M. T., Roach, V. A., Ott, M. C., et al. (2016) · Journal of surgical education · doi:10.1016/j.jsurg.2016.07.012 · Cited by 19
Kojima, K. E., Graves, M. L., Taha, W., et al. (2018) · Injury · doi:10.1016/j.injury.2018.09.019 · Cited by 17
Mascheroni, J., Mont, L., Stockburger, M. A., et al. (2020) · International Journal of Cardiology · doi:10.1016/j.ijcard.2020.02.003 · Cited by 17
Development of performance and error metrics for ultrasound-guided axillary brachial plexus block
Ahmed, O., OʼDonnell, B. D., Gallagher, A. G., & Shorten, G. (2017) · Advances in Medical Education and Practice · doi:10.2147/amep.s128963 · Cited by 16
Self-citationPerformance variability during training on simulators is associated with skill transfer
Martin, J. R., Anton, N. E., Timsina, L., et al. (2019) · Surgery · doi:10.1016/j.surg.2019.01.013 · Cited by 12
(2000) · Time to knit · doi:10.1016/j.ysur.2012.08.010 · Cited by 12
Stoller, J. L., Joseph, J. M., Parodi, N., et al. (2015) · Journal of surgical education · doi:10.1016/j.jsurg.2015.10.003 · Cited by 10
Gaze‐down endoscopic practise leads to better novice performance on gaze‐up displays
Grierson, L., Lyons, J. L., & Dubrowski, A. (2013) · Medical Education · doi:10.1111/medu.12084 · Cited by 6
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Formative assessment and feedback in medical education: A practical guide: AMEE Guide No. 189
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Metadata
- Authors
- Mazzone, E., Puliatti, S., Amato, M., Bunting, B., Rocco, B., Montorsi, F., Mottrie, A., & Gallagher, A. G.
- Affiliations
- Vita-Salute San Raffaele University (IT)
- University of Modena and Reggio Emilia (IT)
- University of Ulster (GB)
- Onze Lieve Vrouwziekenhuis Hospital (BE)
- Corresponding author
- Mazzone, Elio
- Montorsi, Francesco
- ORCID
- Venue
- Annals of Surgery
- Published
- 2020-12-22
- Volume
- 274
- Issue
- 2
- Pages
- 281-289
- ISSN
- 0003-4932 (ISSN-L)
- 1528-1140
- OpenAlex
- W3115401297
- Cited by
- 148
- References
- 72
- Citations by year
- 2026: 24 · 2025: 42 · 2024: 25 · 2023: 18 · 2022: 33 · 2021: 6
- FWCI
- 3.23
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Annals of Surgery (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano) (submittedVersion, other-oa)
- IRIS UNIMORE (University of Modena and Reggio Emilia) (submittedVersion, cc-by-nc-nd)
- PubliCatt (Università Cattolica del Sacro Cuore) (submittedVersion, other-oa)
- Ulster University Research Portal (Ulster University) (submittedVersion, cc-by-nc-nd)
- Topics
- Health Sciences › Medicine › Surgery › Surgical Simulation and Training
- Social Sciences › Education › Innovations in Medical Education
- Social Sciences › Education › Simulation-Based Education in Healthcare
- Keywords
- proficiency-based progression, simulation-based training, procedural training, procedural errors, procedure time, skill acquisition, surgical training
- MeSH terms
- Simulation Training, Clinical Competence, Education, Medical, Feedback, Humans, General Surgery
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