Predictive validity of a selection centre testing non-technical skills for recruitment to training in anaesthesia.

  • T. C.E. Gale
  • , M. J. Roberts
  • , P. J. Sice
  • , J. A. Langton
  • , F. C. Patterson
  • , A. S. Carr
  • , I. R. Anderson
  • , W. H. Lam
  • , P. R.F. Davies

Research output: Contribution to journalArticlepeer-review

Abstract

BACKGROUND: Assessment centres are an accepted method of recruitment in industry and are gaining popularity within medicine. We describe the development and validation of a selection centre for recruitment to speciality training in anaesthesia based on an assessment centre model incorporating the rating of candidate's non-technical skills. METHODS: Expert consensus identified non-technical skills suitable for assessment at the point of selection. Four stations-structured interview, portfolio review, presentation, and simulation-were developed, the latter two being realistic scenarios of work-related tasks. Evaluation of the selection centre focused on applicant and assessor feedback ratings, inter-rater agreement, and internal consistency reliability coefficients. Predictive validity was sought via correlations of selection centre scores with subsequent workplace-based ratings of appointed trainees. RESULTS: Two hundred and twenty-four candidates were assessed over two consecutive annual recruitment rounds; 68 were appointed and followed up during training. Candidates and assessors demonstrated strong approval of the selection centre with more than 70% of ratings 'good' or 'excellent'. Mean inter-rater agreement coefficients ranged from 0.62 to 0.77 and internal consistency reliability of the selection centre score was high (Cronbach's α=0.88-0.91). The overall selection centre score was a good predictor of workplace performance during the first year of appointment. CONCLUSIONS: An assessment centre model based on the rating of non-technical skills can produce a reliable and valid selection tool for recruitment to speciality training in anaesthesia. Early results on predictive validity are encouraging and justify further development and evaluation.
Original languageEnglish
Pages (from-to)603-609
Number of pages0
JournalBr J Anaesth
Volume105
Issue number5
DOIs
Publication statusPublished - Nov 2010

Keywords

  • Anesthesiology
  • Clinical Competence
  • Education
  • Medical
  • Graduate
  • Educational Measurement
  • England
  • Humans
  • Patient Simulation
  • Personnel Selection
  • Reproducibility of Results

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