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A Computerized Functional Skills Assessment and Training Program Targeting Technology Based Everyday Functional Skills
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Can We Predict Technical Aptitude?: A Systematic Review.

Marisa Louridas1, Peter Szasz, Sandra de Montbrun

  • 1*Division of General Surgery, Department of Surgery, University of Toronto, Toronto, Canada †Division of General Surgery, St. Michael's Hospital, Toronto, Canada ‡Royal College of Physicians and Surgeons of Canada, Ottawa, Canada.

Annals of Surgery
|June 17, 2015
PubMed
Summary
This summary is machine-generated.

No single test reliably predicts surgical trainee technical performance. Assessing multiple innate abilities and their interactions may improve prediction for future surgical skills development.

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Area of Science:

  • Medical Education
  • Surgical Training
  • Cognitive Psychology

Background:

  • Technical skill assessment is underutilized in North American surgical residency selection.
  • Not all surgical trainees achieve technical competence.
  • Incorporating technical aptitude assessments could enhance selection processes.

Purpose of the Study:

  • Identify background characteristics and cognitive tests predicting surgical trainees' technical performance.
  • Supplement existing surgical residency selection criteria with predictive markers.

Main Methods:

  • Systematic literature search of MEDLINE, PsycINFO, and Embase databases.
  • Identified studies assessing associations between innate technical abilities and surgical performance.
  • Evaluated study quality using the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) system.

Main Results:

  • 52 studies included from 8035 records.
  • Few surrogate markers predicted technical performance.
  • Visual-spatial and dexterity tests showed some predictive associations; Basic Performance Resources predicted performance in 62-75% of participants.

Conclusions:

  • No single test reliably predicts surgical trainee technical performance.
  • Assessing multiple innate abilities and their interactions may offer better prediction.
  • Future strategies should focus on comprehensive assessment of aptitude for surgical skills.