title: The minimal relationship between simulation fidelity and transfer of learning.
abstract: BACKGROUND
  High-fidelity simulators have enjoyed increasing popularity despite costs that may approach six figures. This is justified on the basis that simulators have been shown to result in large learning gains that may transfer to actual patient care situations. However, most commonly, learning from a simulator is compared with learning in a 'no-intervention' control group. This fails to clarify the relationship between simulator fidelity and learning, and whether comparable gains might be achieved at substantially lower cost.
  
  
  OBJECTIVE
  This analysis was conducted to review studies that compare learning from high-fidelity simulation (HFS) with learning from low-fidelity simulation (LFS) based on measures of clinical performance.
  
  
  METHODS
  Using a variety of search strategies, a total of 24 studies contrasting HFS and LFS and including some measure of performance were located. These studies referred to learning in three areas: auscultation skills; surgical techniques, and complex management skills such as cardiac resuscitation.
  
  
  RESULTS
  Both HFS and LFS learning resulted in consistent improvements in performance in comparisons with no-intervention control groups. However, nearly all the studies showed no significant advantage of HFS over LFS, with average differences ranging from 1% to 2%.
  
  
  CONCLUSIONS
  The factors influencing learning, and the reasons for this surprising finding, are discussed.
authors.affiliation: Department of Clinical Epidemiology and Biostatistics, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada. norman@mcmaster.ca
authors.forename: Geoff
authors.initials: G
authors.lastname: Norman
authors.forename: Kelly
authors.initials: K
authors.lastname: Dore
authors.forename: Lawrence
authors.initials: L
authors.lastname: Grierson
mesh_terms: D002983:Clinical Competence; D003198:Computer Simulation; D004504:Education, Medical, Undergraduate / Q000379:methods*; D006801:Humans; D007858:Learning; D016544:Patient Simulation