The predictive value of aptitude assessment in laparoscopic surgery: a meta-analysis

Abstract

Context: Current methods of assessing candidates for medical specialties that involve laparoscopic skills suffer from a lack of instruments to assess the ability to work in a minimally invasive surgery environment.

Objectives: A meta-analysis was conducted to investigate whether aptitude assessment can be used to predict variability in the acquisition and performance of laparoscopic skills.

Methods: PubMed, PsycINFO and Google Scholar were searched to November 2014 for published and unpublished studies reporting the measurement of a form of aptitude for laparoscopic skills. The quality of studies was assessed with QUADAS-2. Summary correlations were calculated using a random-effects model.

Results: Thirty-four studies were found to be eligible for inclusion; six of these studies used an operating room performance measurement. Laparoscopic skills correlated significantly with visual-spatial ability (r = 0.32, 95% confidence interval [CI] 0.25-0.39; p < 0.001), perceptual ability (r = 0.31, 95% CI 0.22-0.39; p < 0.001), psychomotor ability (r = 0.26, 95% CI 0.10-0.40; p = 0.003) and simulator-based assessment of aptitude (r = 0.64, 95% CI 0.52-0.73; p < 0.001). Three-dimensional dynamic visual-spatial ability showed a significantly higher correlation than intrinsic static visual-spatial ability (p = 0.024).

Conclusions: In general, aptitude assessments are associated with laparoscopic skill level. Simulator-based assessment of aptitude appears to have the potential to represent a job sample and to enable the assessment of all forms of aptitude for laparoscopic surgery at once. A laparoscopy aptitude test can be a valuable additional tool in the assessment of candidates for medical specialties that require laparoscopic skills.