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Simulation and skills training in mitral valve surgery



Simulation and skills training in mitral valve surgery



Journal of Thoracic and Cardiovascular Surgery 141(1): 107-112



Limited exposure and visualization and technical complexity have affected resident training in mitral valve surgery. We propose simulation-based learning to improve skill acquisition in mitral valve surgery. After reviewing instructional video recordings of mitral annuloplasty in porcine and plastic models, 11 residents (6 integrated and 5 traditional) performed porcine model mitral annuloplasty. Video-recorded performance was reviewed by attending surgeon providing audio formative feedback superimposed on video recordings; recordings were returned to residents for review. After 3-week practice with plastic model, residents repeated porcine model mitral annuloplasty. Performance assessments initially (prefeedback) and at 3 weeks (postfeedback) were based on review of video recordings on 5-point rating scale (5, good; 3, average; 1, poor) of 11 components. Ratings were averaged for composite score. Time to completion improved from mean 31 ± 9 minutes to 25 ± 6 minutes after 3-week practice (P = .03). At 3 weeks, improvement in technical components was achieved by all residents, with prefeedback scores varying from 2.4 ± 0.6 for needle angles to 3.0 ± 0.5 for depth of bites and postfeedback scores of 3.1 ± 0.8 for tissue handling to 3.6 ± 0.8 for suture management and tension (P ≤ .001). Interrater reliability was greater than 0.8. In this sample, composite scores of first-year integrated and traditional residents were lower than those of senior level residents; comparatively, third-year integrated residents demonstrated good technical proficiency. Simulation-based learning with formative feedback results in overall improved performance of simulated mitral annuloplasty. In complex surgical procedures, simulation may provide necessary early graduated training and practice. Importantly, a "passing" grade can be established for proficiency-based advancement.

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Accession: 055783929

Download citation: RISBibTeXText

PMID: 21074189

DOI: 10.1016/j.jtcvs.2010.08.059


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