Skip to main content

01.02.2014 | Ausgabe 2/2014

World Journal of Surgery 2/2014

An Objective Evaluation of a Multi-Component, Competitive, Selection Process for Admitting Surgeons into Higher Surgical Training in a National Setting

World Journal of Surgery > Ausgabe 2/2014
Anthony G. Gallagher, Gerald C. O’Sullivan, Paul C. Neary, Sean M. Carroll, Gerald Leonard, Brendan P. Bunting, Oscar Traynor
Wichtige Hinweise
This paper was presented by AG Gallagher at the European Surgical Association meeting, in Hamburg, Germany (5 May 2012).



Changing work practices make it imperative that surgery selects candidates for training who demonstrate the spectrum of abilities that best facilitate learning and development of attributes that, by the end of their training, approximate the characteristics of a consultant surgeon.


The aim of our study was to determine the relative merits of components of a program used for competitive selection of trainees into higher surgical training (HST) in general surgery.


Applicants (N = 98, males 69, mean age 31 years [range 29–40]) to the Royal College of Surgeons in Ireland program for HST in general surgery between 2006 and 2008 were assessed. Clinical, basic surgical training, logbook, research performance, and reference scores were evaluated. A total of 51 candidates were shortlisted and completed a further objective assessment of their technical skills and interview performances.


Shortlisted candidates performed better (p < 0.003) on all assessed parameters. Compared with candidates who were not selected for HST, those who were selected (N = 31) significantly outperformed on individual assessments and overall (p < 0.0001). Logistic regression analysis showed that clinical, technical skills, and research assessments, but not interview, predicted (92.2 %) HST selection outcomes.


Candidates selected for the national HST program in Ireland consistently outperformed those who were not. The assessments reliably and consistently distinguished between candidates, and all of the assessed parameters (except interview) contributed to a highly predictive selection model. This is the largest reported dataset from an objective, transparent, and fair assessment program for selection of the next generation of surgeons.

Bitte loggen Sie sich ein, um Zugang zu diesem Inhalt zu erhalten

e.Med Interdisziplinär

Mit e.Med Interdisziplinär erhalten Sie Zugang zu allen CME-Fortbildungen und Fachzeitschriften auf Zusätzlich können Sie eine Zeitschrift Ihrer Wahl in gedruckter Form beziehen – ohne Aufpreis.

Jetzt bestellen und im ersten Jahr 100€ sparen!Jetzt e.Med zum Sonderpreis bestellen!

Weitere Produktempfehlungen anzeigen
Über diesen Artikel

Weitere Artikel der Ausgabe 2/2014

World Journal of Surgery 2/2014 Zur Ausgabe
  1. Sie können e.Med Chirurgie 14 Tage kostenlos testen (keine Print-Zeitschrift enthalten). Der Test läuft automatisch und formlos aus. Es kann nur einmal getestet werden.


Neu im Fachgebiet Chirurgie

Mail Icon II Newsletter

Bestellen Sie unseren kostenlosen Newsletter Update Chirurgie und bleiben Sie gut informiert – ganz bequem per eMail.