Summary
Background
Virtual reality (VR) simulation is increasingly used in surgical disciplines. Since VR simulators measure multiple outcomes, standardized reporting is needed.
Methods
We present an algorithm for combining multiple VR outcomes into dimension summary measures, which are then integrated into a meaningful total score. We reanalyzed the data of two VR studies applying the algorithm.
Results
The proposed algorithm was successfully applied to both VR studies.
Conclusions
The algorithm contributes to standardized and transparent reporting in VR-related research.
References
Nagendran M, Gurusamy KS, Aggarwal R, Loizidou M, Davidson BR. Virtual reality training for surgical trainees in laparoscopic surgery. Cochrane Database Syst Rev. 2013;8:CD006575.
Streiner DL, Norman GR. From items to scales. In: Streiner DL, Norman GR, editors. Health measurement scales—a practical guide to their development and use. 4th ed. Oxford: Oxford University press; 2008. p. 148.
Schouten HJ. Combined evidence from multiple outcomes in a clinical trial. J Clin Epidemiol. 2000;53(11):1137–44.
Goldsmith CH, Smythe HA, Helewa A. Interpretation and power of a pooled index. J Rheumatol. 1993;20(3):575–8.
Rosenthal R, Geuss S, Dell-Kuster S, Schafer J, Hahnloser D, Demartines N. Video gaming in children improves performance on a virtual reality trainer but does not yet make a laparoscopic surgeon. Surg Innov. 2011;18(2):160–70.
von Websky MW, Raptis DA, Vitz M, Rosenthal R, Clavien PA, Hahnloser D. Access to a simulator is not enough: the benefits of virtual reality training based on peer-group-derived benchmarks—a randomized controlled trial. World J Surg. 2013;37(11):2534–41.
Tukey JW. The problem of multiple comparisons (unpublished manuscript). In: Braun H, editor. The collected works of John W. Tukey VIII. Multiple comparisons. New York: Chapman & Hall; 1953. pp. 1948–83.
Sarkar D. Lattice: multivariate data visualization with R. NY: Springer; 2008.
Neuhauser M. How to deal with multiple endpoints in clinical trials. Fundam Clin Pharmacol. 2006;20(6):515–23.
Sterne JA, Davey SG. Sifting the evidence-what’s wrong with significance tests? BMJ. 2001;322(7280):226–31.
Acknowledgments
This research was supported by the Swiss National Science Foundation (grant number 32003B-120722). The Basel Institute for Clinical Epidemiology and Biostatistics is supported by grants from Santésuisse and from the Gottfried and Julia Bangerter-Rhyner-Foundation. The funding sources had no involvement in study design, data collection, analysis and interpretation, writing the report and the decision to submit the manuscript for publication.
This work is part of an academic thesis at the University of Basel, Switzerland.
Conflict of interest
There are no conflicts of interest to declare. Rachel Rosenthal is an employee of F. Hoffmann-La Roche Ltd. since May 01, 2014. The present study was conducted before Rachel Rosenthal joined F. Hoffmann-La Roche Ltd. and has no connection to her employment by the company. Rachel Rosenthal continues to be affiliated with the University of Basel.
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Rosenthal, R., von Websky, M., Hoffmann, H. et al. How to report multiple outcome metrics in virtual reality simulation. Eur Surg 47, 202–205 (2015). https://doi.org/10.1007/s10353-015-0327-7
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DOI: https://doi.org/10.1007/s10353-015-0327-7