Copyright
©The Author(s) 2025.
World J Orthop. Nov 18, 2025; 16(11): 110251
Published online Nov 18, 2025. doi: 10.5312/wjo.v16.i11.110251
Published online Nov 18, 2025. doi: 10.5312/wjo.v16.i11.110251
Table 1 Baseline characteristics of study participants (n = 106)
| Variable | Category | Frequency (n) | Percentage (%) |
| Age (years) | mean ± SD | 22.6 ± 1.1 | - |
| Gender | Male | 54 | 50.9 |
| Female | 52 | 49.1 | |
| Prior simulation exposure | Yes | 22 | 20.7 |
| No | 84 | 79.3 | |
| Academic performance (last exam) | ≥ 75% | 44 | 41.5 |
| < 75% | 62 | 58.5 |
Table 2 Comparison of pre-simulation and post-simulation outcomes (n = 106)
| Parameter | Presimulation (mean ± SD) | Post-simulation (mean ± SD) | Mean difference | P value1 |
| Procedural accuracy score (%) | 62.5 ± 10.3 | 84.9 ± 8.6 | 22.4 | < 0.001 |
| Knowledge test score (%) | 63.4 ± 11.2 | 78.2 ± 9.4 | 14.8 | < 0.001 |
| Confidence level (0-10 scale) | 4.6 ± 1.7 | 8.2 ± 1.1 | 3.6 | < 0.001 |
Table 3 Confidence levels before and after simulation (n = 106)
| Confidence level | Pre-simulation | Post-simulation | P value1 |
| Low (1-3) | 34 (32.1) | 4 (3.8) | < 0.001 |
| Moderate (4-6) | 51 (48.1) | 37 (34.9) | |
| High (7-10) | 21 (19.8) | 65 (61.3) |
Table 4 Association between prior simulation exposure and post-simulation procedural accuracy (n = 106)
| Exposure | Accuracy ≥ 85% | Accuracy < 85% | Total | χ² value | P value | |
| Prior exposure | Yes | 20 | 2 | 22 | 7.24 | 0.007 |
| No | 42 | 42 | 84 | |||
Table 5 Predictors of high procedural accuracy (≥ 85%): Unadjusted odds ratio (n = 106)
| Variable | Odds ratio (95%CI) | P value |
| Male gender | 1.02 (0.49–2.15) | 0.958 |
| Prior simulation exposure | 10.00 (2.10–47.60) | 0.004 |
| Academic score ≥ 75% | 2.58 (1.20–5.56) | 0.015 |
Table 6 Multivariate logistic regression: Adjusted odds ratios for high procedural accuracy (≥ 85%) (n = 106)
| Variable | Adjusted odds ratio (95%CI) | P value |
| Male gender | 0.97 (0.43–2.18) | 0.940 |
| Prior simulation exposure | 4.35 (1.26–15.02) | 0.020 |
| Academic score ≥ 75% | 2.89 (1.08–7.71) | 0.033 |
Table 7 Comparison of current study with selected simulation-based orthopedic education studies
| Ref. | Study design | Participants | Simulation modality | Outcomes measured | Key findings |
| Kelly et al[24], 2017 | Mixed-methods study | Medical students | Simulated musculoskeletal environment | Knowledge, confidence, feedback | Improved self-efficacy and musculoskeletal exam skills |
| Butler et al[20], 2017 | Pre-post intervention | Interns and students | Supracondylar fracture simulator | Technical skill, self-confidence | Improved skill performance and confidence post-training |
| Wilson et al[22], 2020 | Randomized crossover trial | Undergraduate medical students | VR and physical models | Knowledge scores, retention | Both modalities improved scores; VR had slightly higher retention |
| Klingebiel et al[21], 2024 | Experimental study | Orthopedic surgeons | Pelvic fracture simulator | Technical confidence, skill acquisition | Simulator enhanced emergency procedure readiness |
| Schöbel et al[23], 2024 | Prospective controlled trial | Medical students | Immersive VR for knee arthroscopy | Procedural steps understanding, engagement | VR significantly improved procedural knowledge and engagement |
| Our study, 2025 | Cross-sectional observational | 106 final-year MBBS students | Synthetic bone models, plaster kits | Procedural accuracy, knowledge retention, confidence | Significant improvements in all domains; prior exposure and academic scores were predictors of better outcomes |
- Citation: Manohar M, Selvaraj P, Selvaraj P, Jeyaraman N, Muthu S, Jeyaraman M. Enhancing orthopaedic competency through simulation: A student-centered approach to bridge educational gaps. World J Orthop 2025; 16(11): 110251
- URL: https://www.wjgnet.com/2218-5836/full/v16/i11/110251.htm
- DOI: https://dx.doi.org/10.5312/wjo.v16.i11.110251
