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Learning curve patterns generated by a training method for laparoscopic small bowel anastomosis

Overview of attention for article published in Advances in Simulation, May 2016
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Title
Learning curve patterns generated by a training method for laparoscopic small bowel anastomosis
Published in
Advances in Simulation, May 2016
DOI 10.1186/s41077-016-0017-y
Pubmed ID
Authors

Jose Carlos Manuel-Palazuelos, María Riaño-Molleda, José Luis Ruiz-Gómez, Jose Ignacio Martín-Parra, Carlos Redondo-Figuero, José María Maestre

Abstract

The identification of developmental curve patterns generated by a simulation-based educational method and the variables that can accelerate the learning process will result in cost-effective training. This study describes the learning curves of a simulation-based instructional design (ID) that uses ex vivo animal models to teach laparoscopic latero-lateral small bowel anastomosis. Twenty general surgery residents were evaluated on their performance of laparoscopic latero-lateral jejuno-jejunal anastomoses (JJA) and gastro-jejunal anastomoses (GJA), using swine small bowel and stomach on an endotrainer. The ID included the following steps: (1) provision of references and videos demonstrating the surgical technique, (2) creation of an engaging context for learning, (3) critical review of the literature and video on the procedures, (4) demonstration of the critical steps, (5) hands-on practice, (6) in-action instructor's feedback, (7) quality assessment, (8) debriefing at the end of the session, and (9) deliberate and repetitive practice. Time was recorded from the beginning to the completion of the procedure, along with the presence or absence of anastomotic leaks. The participants needed to perform 23.8 ± 6.96 GJA (12-35) and 24.2 ± 6.96 JJA (9-43) to attain proficiency. The starting point of the learning curve was higher for the GJA than for the JJA, although the slope and plateau were parallel. Further, four types of learning curves were identified: (1) exponential, (2) rapid, (3) slow, and (4) no tendency. The type of pattern could be predicted after procedure number 8. These findings may help to identify the learning curve of a trainee early in the developmental process, estimate the number of sessions required to reach a performance goal, determine a trainee's readiness to practice the procedure on patients, and identify the subjects who lack the innate technical abilities. It may help motivated individuals to become reflective and self-regulated learners. Moreover, the standardization of the ID may help to measure the effectiveness of learning strategies and make comparisons with other educational strategies.

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Mendeley readers

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The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 15%
Student > Bachelor 5 15%
Researcher 4 12%
Other 2 6%
Student > Postgraduate 2 6%
Other 5 15%
Unknown 11 32%
Readers by discipline Count As %
Medicine and Dentistry 9 26%
Nursing and Health Professions 4 12%
Engineering 2 6%
Agricultural and Biological Sciences 1 3%
Physics and Astronomy 1 3%
Other 5 15%
Unknown 12 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 June 2016.
All research outputs
#20,328,845
of 22,873,031 outputs
Outputs from Advances in Simulation
#230
of 234 outputs
Outputs of similar age
#288,465
of 335,850 outputs
Outputs of similar age from Advances in Simulation
#10
of 10 outputs
Altmetric has tracked 22,873,031 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 234 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.8. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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