The learning curve of laparoscopic holecystectomy in general surgery resident training: old age of the patient may be a risk factor?

Author:

Ferrarese Alessia1,Gentile Valentina2,Bindi Marco2,Rivelli Matteo2,Cumbo Jacopo2,Solej Mario2,Enrico Stefano2,Martino Valter2

Affiliation:

1. 1Department of Oncology, University of Turin, Section of General Surgery, San Luigi Gonzaga Teaching Hospital, Regione Gonzole 10, 10043 Orbassano, Turin, Italy

2. 2University of Turin, Department of Oncology, School of Medicine, Teaching Hospital “San Luigi Gonzaga”, Section of General Surgery, Orbassano, Turin, Italy

Abstract

AbstractA well-designed learning curve is essential for the acquisition of laparoscopic skills: but, are there risk factors that can derail the surgical method? From a review of the current literature on the learning curve in laparoscopic surgery, we identified learning curve components in video laparoscopic cholecystectomy; we suggest a learning curve model that can be applied to assess the progress of general surgical residents as they learn and master the stages of video laparoscopic cholecystectomy regardless of type of patient.Electronic databases were interrogated to better define the terms “surgeon”, “specialized surgeon”, and “specialist surgeon”; we surveyed the literature on surgical residency programs outside Italy to identify learning curve components, influential factors, the importance of tutoring, and the role of reference centers in residency education in surgery. From the definition of acceptable error, self-efficacy, and error classification, we devised a learning curve model that may be applied to training surgical residents in video laparoscopic cholecystectomy.Based on the criteria culled from the literature, the three surgeon categories (general, specialized, and specialist) are distinguished by years of experience, case volume, and error rate; the patients were distinguished for years and characteristics. The training model was constructed as a series of key learning steps in video laparoscopic cholecystectomy. Potential errors were identified and the difficulty of each step was graded using operation-specific characteristics. On completion of each procedure, error checklist scores on procedure-specific performance are tallied to track the learning curve and obtain performance indices of measurement that chart the trainee’s progress.Conclusions. The concept of the learning curve in general surgery is disputed. The use of learning steps may enable the resident surgical trainee to acquire video laparoscopic cholecystectomy skills proportional to the instructor’s ability, the trainee’s own skills, and the safety of the surgical environment. There were no patient characteristics that can derail the methods. With this training scheme, resident trainees may be provided the opportunity to develop their intrinsic capabilities without the loss of basic technical skills.

Publisher

Walter de Gruyter GmbH

Subject

General Medicine

Reference47 articles.

1. Framework for systematic trining and assessment of technical skills AggarwallRGrantcharovTPDarziA Framework for systematic trining and assessment of technical skillsJ Am Coll Surg;Aggarwall;Am,2007

2. Meso - pancreatectomy for pancreatic neuroendocrine tumor FerrareseABorelloAGentileVet Meso - pancreatectomy for pancreatic neuroendocrine tumorInt;Ferrarese;Int J Surg,2014

3. The effect of stress - inducing conditions on the performance of a laparoscopic task MoorthyKMunzYDosisAet al The effect of stress - inducing conditions on the performance of a laparoscopic taskSurg Endosc;Moorthy;Surg Endosc,2003

4. Implications of laparoscopy on surgery residency training HedrickTTurrentineFSanfeyHet Implications of laparoscopy on surgery residency trainingAm;Hedrick;Am J Surg,2009

5. Laparoscopic management of non - midline incisional hernia : A multicentric study pii ijsu [ Epub ahead of print FerrareseAEnricoSSolejMet al Laparoscopic management of non - midline incisional hernia : A multicentric studyInt pii ijsu Epub ahead of print;Ferrarese;Int J Surg,2016

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