| Literature DB >> 23935818 |
David P de Sena1, Daniela D Fabricio, Maria Helena I Lopes, Vinicius D da Silva.
Abstract
The purpose of this study was to develop and validate a multimedia software application for mobile platforms to assist in the teaching and learning process of design and construction of a skin flap. Traditional training in surgery is based on learning by doing. Initially, the use of cadavers and animal models appeared to be a valid alternative for training. However, many conflicts with these training models prompted progression to synthetic and virtual reality models. Fifty volunteer fifth- and sixth-year medical students completed a pretest and were randomly allocated into two groups of 25 students each. The control group was exposed for 5 minutes to a standard text-based print article, while the test group used multimedia software describing how to fashion a rhomboid flap. Each group then performed a cutaneous flap on a training bench model while being evaluated by three blinded BSPS (Brazilian Society of Plastic Surgery) board-certified surgeons using the OSATS (Objective Structured Assessment of Technical Skill) protocol and answered a post-test. The text-based group was then tested again using the software. The computer-assisted learning (CAL) group had superior performance as confirmed by checklist scores (p<0.002), overall global assessment (p = 0.017) and post-test results (p<0.001). All participants ranked the multimedia method as the best study tool. CAL learners exhibited better subjective and objective performance when fashioning rhomboid flaps as compared to those taught with standard print material. These findings indicate that students preferred to learn using the multimedia method.Entities:
Mesh:
Year: 2013 PMID: 23935818 PMCID: PMC3720809 DOI: 10.1371/journal.pone.0065833
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Figure 1Manufacturing non-animal silicon skin.
Figure 2Non-animal silicon skin fragment, 4×6 cm.
Figure 3Sequence of the rhomboid skin flap.
Figure 4Study flowchart.
n: number of students; 5′ - five minutes; OSATS - Objective Structured Assessment of Technical Skill; Ckl - checklist; Avg - Global Assessment Scale.
Figure 5Average post-test, Checklist and Global Assessment final score.
p: statistical significance calculated by the Mann-Whitney U; PT_T Mean = Mean post-test sum of items (p<0.001); Ckl_T = Mean sum of checklist items (p<0.002); Avg_T = Mean sum of overall assessment items (p<0.017).
Printed text group vs. CAL group.
| Checklist | |||
| Feature | Text (n = 25) | CAL (n = 25) | (p) |
| Number of correct answers, n (%) | |||
| Ckl_01 | 12 (48) | 24 (96) | 0.001 |
| Ckl_02 | 11 (44) | 21 (84) | 0.008 |
| Ckl_03 | 12 (48) | 19 (76) | 0.08 |
| Ckl_04 | 14 (56) | 25 (100) | 0.001 |
| Ckl_05 | 10 (40) | 15 (60) | 0.258 |
| Ckl_06 | 11 (44) | 19 (76) | 0.043 |
| Ckl_07 | 09 (36) | 18 (72) | 0.023 |
| Ckl_08 | 07 (28) | 18 (72) | 0.005 |
| Ckl_09 | 08 (32) | 20 (80) | 0.002 |
| Ckl_10 | 08 (32) | 14 (56) | 0.154 |
| Gross Score (0 to 10) | (p) | ||
| Ckl_T | 4.08±4.0 | 7.72±2.05 | <0.002 |
Data presented as N (%) or mean ± standard deviation.
Chi-square test with Yates' continuity correction.
Mann-Whitney U.
Figure 6Correct response percentages for each checklist item.
CKL = Check List. * p<0.05 (chi-square test with Yates' correction).
Evaluation of the printed text group before and after CAL exposure.
| Checklist | |||
| Feature | Text (n = 25) | CAL (n = 25) | p-value |
| Number of correct answers, n (%) | |||
| Ckl_01 | 12 (48) | 24 (96) | 0.002 |
| Ckl_02 | 11 (44) | 24 (96) | <0.001 |
| Ckl_03 | 12 (48) | 24 (96) | 0.002 |
| Ckl_04 | 14 (56) | 25 (100) | 0.001 |
| Ckl_05 | 10 (40) | 23 (92) | <0.001 |
| Ckl_06 | 11 (44) | 23 (92) | 0.002 |
| Ckl_07 | 09 (36) | 23 (92) | <0.001 |
| Ckl_08 | 07 (28) | 20 (80) | 0.001 |
| Ckl_09 | 08 (32) | 20 (80) | 0.002 |
| Ckl_10 | 08 (32) | 20 (80) | 0.002 |
| Gross Score (0 a 10) | (p) | ||
| Ckl_T | 4.08±4 | 9.04±1.77 | <0.001 |
Data presented as N (%) or mean ± standard deviation.
McNemar.
Wilcoxon.