Literature DB >> 28451813

Practice does not always make perfect: need for selection curricula in modern surgical training.

Marisa Louridas1, Peter Szasz2, Andras B Fecso2, Michael G Zywiel2, Parisa Lak3, Ayse B Bener3, Kenneth A Harris4, Teodor P Grantcharov2.   

Abstract

BACKGROUND: It is hypothesized that not all surgical trainees are able to reach technical competence despite ongoing practice. The objectives of the study were to assess a trainees' ability to reach technical competence by assessing learning patterns of the acquisition of surgical skills. Furthermore, it aims to determine whether individuals' learning patterns were consistent across a range of open and laparoscopic tasks of variable difficulty.
METHODS: Sixty-five preclinical medical students participated in a training curriculum with standardized feedback over forty repetitions of the following laparoscopic and open technical tasks: peg transfer (PT), circle cutting (CC), intracorporeal knot tie (IKT), one-handed tie, and simulated laparotomy closure. Data mining techniques were used to analyze the prospectively collected data and stratify the students into four learning clusters. Performance was compared between groups, and learning curve characteristics unique to trainees who have difficulty reaching technical competence were quantified.
RESULTS: Top performers (22-35%) and high performers (32-42%) reached proficiency in all tasks. Moderate performers (25-37%) reached proficiency for all open tasks but not all laparoscopic tasks. Low performers (8-15%) failed to reach proficiency in four of five tasks including all laparoscopic tasks (PT 7.8%; CC 9.4%; IKT 15.6%). Participants in lower performance clusters demonstrated sustained performance disadvantage across tasks, with widely variable learning curves and no evidence of progression towards a plateau phase.
CONCLUSIONS: Most students reached proficiency across a range of surgical tasks, but low-performing trainees failed to reach competence in laparoscopic tasks. With increasing use of laparoscopy in surgical practice, screening potential candidates to identify the lowest performers may be beneficial.

Entities:  

Keywords:  Competence; Learning curves; Selection; Simulation training; Surgical trainees; Technical skills

Mesh:

Year:  2017        PMID: 28451813     DOI: 10.1007/s00464-017-5572-3

Source DB:  PubMed          Journal:  Surg Endosc        ISSN: 0930-2794            Impact factor:   4.584


  16 in total

1.  Reliability: on the reproducibility of assessment data.

Authors:  Steven M Downing
Journal:  Med Educ       Date:  2004-09       Impact factor: 6.251

2.  The MISTELS program to measure technical skill in laparoscopic surgery : evidence for reliability.

Authors:  M C Vassiliou; G A Ghitulescu; L S Feldman; D Stanbridge; K Leffondré; H H Sigman; G M Fried
Journal:  Surg Endosc       Date:  2006-02-27       Impact factor: 4.584

3.  Randomised, controlled study investigating the optimal instructor: student ratios for teaching suturing skills.

Authors:  Adam Dubrowski; Helen MacRae
Journal:  Med Educ       Date:  2006-01       Impact factor: 6.251

4.  Design of a proficiency-based skills training curriculum for the fundamentals of laparoscopic surgery.

Authors:  E Matt Ritter; Daniel J Scott
Journal:  Surg Innov       Date:  2007-06       Impact factor: 2.058

5.  Can everyone achieve proficiency with the laparoscopic technique? Learning curve patterns in technical skills acquisition.

Authors:  Teodor P Grantcharov; Peter Funch-Jensen
Journal:  Am J Surg       Date:  2009-02-13       Impact factor: 2.565

6.  Predictors of technical skill acquisition among resident trainees in a laparoscopic skills education program.

Authors:  Corey Van Hove; Kyle A Perry; Donn H Spight; Krissy Wheeler-Mcinvaille; Brian S Diggs; Brett C Sheppard; Blair A Jobe; Robert W O'Rourke
Journal:  World J Surg       Date:  2008-09       Impact factor: 3.352

7.  Psychomotor testing predicts rate of skill acquisition for proficiency-based laparoscopic skills training.

Authors:  Dimitrios Stefanidis; James R Korndorffer; F William Black; J Bruce Dunne; Rafael Sierra; Cheri L Touchard; David A Rice; Ronald J Markert; Peter R Kastl; Daniel J Scott
Journal:  Surgery       Date:  2006-08       Impact factor: 3.982

8.  Laparoscopic cholecystectomy. The new 'gold standard'?

Authors:  N J Soper; P T Stockmann; D L Dunnegan; S W Ashley
Journal:  Arch Surg       Date:  1992-08

9.  Role and feasibility of psychomotor and dexterity testing in selection for surgical training.

Authors:  Anthony G Gallagher; Gerald Leonard; Oscar J Traynor
Journal:  ANZ J Surg       Date:  2009-03       Impact factor: 1.872

10.  Age, gender, lateral dominance, and prediction of operative skill among general surgery residents.

Authors:  A L Schueneman; J Pickleman; R J Freeark
Journal:  Surgery       Date:  1985-09       Impact factor: 3.982

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  4 in total

1.  A machine learning approach to predict surgical learning curves.

Authors:  Yuanyuan Gao; Uwe Kruger; Xavier Intes; Steven Schwaitzberg; Suvranu De
Journal:  Surgery       Date:  2019-11-18       Impact factor: 3.982

Review 2.  Competency-Based Education in Minimally Invasive and Robotic Colorectal Surgery.

Authors:  Marisa Louridas; Sandra de Montbrun
Journal:  Clin Colon Rectal Surg       Date:  2021-03-29

3.  CORR Insights®: Are Narrative Letters of Recommendation for Medical Students Interpreted as Intended by Orthopaedic Surgery Residency Programs?

Authors:  Michael G Zywiel
Journal:  Clin Orthop Relat Res       Date:  2021-08-01       Impact factor: 4.755

4.  Aptitude and attitude: predictors of performance during and after basic laparoscopic skills training.

Authors:  Kirsty L Beattie; Andrew Hill; Mark S Horswill; Philip M Grove; Andrew R L Stevenson
Journal:  Surg Endosc       Date:  2021-08-09       Impact factor: 4.584

  4 in total

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