Learning Gain and Skill Retention Following Unstructured Bronchoscopy Simulation in a Low-fidelity Airway Model.

BACKGROUND: Simulation is invaluable for bronchoscopy training. Studies report improved procedure time, dexterity/technique, and trainee satisfaction supported by low-fidelity and high-fidelity simulators in structured-training programs. We sought to determine (1) Learning-gain in bronchoscopic dexterity after a single 45-minute unstructured exposure using a low-fidelity simulator. (2) Whether acquired skills are maintained 8 weeks later, during which trainees receive no interim exposure to simulation or clinical bronchoscopy. METHODS: Using a low-fidelity model, medical students were assessed for bronchoscopicdexterity before and after an unstructured, self-directed 45-minute simulation. Bronchoscopic dexterity was assessed according to: (1) Ability to enter a target-bronchus within a specified time. (2) The modified Bronchoscopy Skills and Tasks Assessment Tool (mBSTAT). Scores were compared at baseline, postsimulation, and 8 weeks postsimulation. Individual domains of the mBSTAT were compared with identify specific skills demonstrating more significant deterioration. RESULTS: Twenty-eight medical students completed the initial-simulation session. Fifteen returned at 8 weeks. Statistically significant improvement in bronchoscopic-skills was observed immediately following the simulation session (mBSTAT scores 3.7±1.2 pretest vs. 7.0±0.9 posttest, P<0.001). mBSTAT scores had deteriorated significantly at 8 weeks (5.7±1.8, P=0.03) but remained superior to baseline scores (P=0.002). Of the 4 domains assessed, only Precision did not demonstrate any change between post-test and review assessments (P=0.14). All other domains demonstrated trends towards significant deterioration between posttest and review. CONCLUSION: A single 45-minute unstructured bronchoscopy simulation session resulted in significant improvement in bronchoscopic dexterity. Significant decay in bronchoscopic dexterity is observed, suggesting repeat simulation may be valuable following periods without bronchoscopy exposure.

Assessment of Bronchoscopic Dexterity and Procedural Competency in a Low-fidelity Simulation Model.

BACKGROUND: Assessment of competency in bronchoscopy has traditionally been undertaken in clinical settings, however, recent recognition of increased procedural complications and learner anxiety have led to interest in simulation-based competency assessment. The aim of this study was to determine if low-fidelity simulation-based assessment allows discrimination of competency based on prior experience between bronchoscopists. METHODS: Forty-four participants were allocated to 3 groups based on prior bronchoscopic experience [novices (n=31) with no prior experience, intermediates (n=7) with prior experience of 5 to 10 bronchoscopies, and expert bronchoscopists (n=6) with minimum 200 prior bronchoscopies performed]. Participants performed bronchoscopy in a 3D-printed anatomic airway model and were assessed according to time required to navigate to a target bronchus. Bronchoscopic dexterity was measured using a modified version of the validated Bronchoscopy Skills and Tasks Assessment Tool. RESULTS: Competency based on successful navigation to a target bronchus differed significantly between each group [experts, 12/12 (100%); intermediates, 9/14 (64%); novices, 19/62 (31%); P<0.001]. Bronchoscopic dexterity as measured by modified Bronchoscopy Skills and Tasks Assessment Tool also differed significantly between groups with experts achieving consistently higher scores compared with other 2 groups [median (interquartile range) scores: novices, 3.5 (2.5 to 5); intermediate, 5 (4.5 to 7); experts, 8 (7.5 to 8); P<0.0.001). CONCLUSIONS: Multiple measures demonstrate that low-fidelity simulation-based assessment may reliably discriminate between different levels of skill in performing bronchoscopic navigation and airway inspection. Procedural dexterity of trainees may be assessed in a 0-risk simulation environment.