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Hernia repair surgery is common, especially the Shouldice repair for primary inguinal hernias, which is considered a top-notch nonmesh technique. However, outcomes can vary, possibly due to differences in surgical skill and experience. Many surgeons are trained more in mesh repairs like the Lichtenstein technique, rather than nonmesh repairs like Shouldice.
Understanding a surgeon's learning curve-how many surgeries they need to do to become proficient-is crucial. Yet, there's not much research on this for the Shouldice repair. This project aims to fill that gap and improve surgeon education.
The study's goal is to find out how the learning curve affects Shouldice repair for primary inguinal hernias. They'll look at how operative time changes over a surgeon's first 300 repairs compared to their 900-1000th. They'll also check for complications and recurrence rates.
The study objectives are:
This research aims to give surgeons and the hernia community valuable insights into improving surgical techniques and patient outcomes.
Full description
Hernia repair is one of the most commonly performed general surgeries [1]. Shouldice repair for primary inguinal hernias is a well-known and documented surgical technique [2,3] and considered to be the gold standard nonmesh hernia repair [1]. The results in the literature for a Shouldice primary inguinal hernia repair vary greatly [2,4,5], and may be due to a lack of accuracy in performing the repair [5,6] and/or lack of surgical volume and experience [7-9]. An added contributing factor could be that nonmesh repairs are not principally taught to many residents, instead the primary method taught is the Lichtenstein repair [10], which leaves out early training of nonmesh repairs, like the Shouldice Repair.
Learning curve can evaluate surgeons' performance and status (trainee or expert), which is done by determining the minimum number of procedures it takes to reach similar outcomes as known expert surgeons [10]. However, there is limited research that describes learning curve and the minimum number of hernia techniques to perform before being considered proficient [1,11]. Some research has performed analysis, which focused on operating times, to determine the learning curve for the Lichtenstein [10] and similar learning and proficiency research on TAPP [12] hernia repair procedures.
The rationale for this project is to supply valuable information to general surgeon trainees and experts, as well as the broader hernia community. There is little to no research done on the learning curve of the Shouldice repair for primary inguinal hernias and the importance of offering and learning nonmesh hernia repairs are associated with the risk of complications after mesh use, as well as treating patients who would prefer a nonmesh repairs [1]. Therefore, the significance of this project is to improve the understanding and knowledge regarding Shouldice Repair and increase surgeon education.
The purpose of this study is to determine the learning curve of a Shouldice repair for primary inguinal hernias. The primary endpoint is differences in operative length while secondarily evaluating recurrence rate and other complications.
Study Objectives:
The proposed project is a pilot study consisting of a retrospective review to collect information on the learning curve of a Shouldice primary inguinal hernia repair, done at Shouldice Hospital. The study will consist of surgeons who worked at Shouldice Hospital in 2023, were hired within the past 10 years, and performed a minimum of 1000 primary inguinal hernia repairs. We estimate 4 surgeons to be included. The study will compare surgeons' first 300 Shouldice primary inguinal hernia repairs to their 900-1000. The parameters of 300 and 1000 hernia repairs were chosen based on previous publications [1,3], which used those benchmarks to indicate proficiency and expertise of the repair. We will analyze the learning curve by using operating time which has also been done for Lichtenstein [10] and similar research in TAPP [12] hernia repairs.
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1,600 participants in 4 patient groups
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Christoph Paasch; Marguerite Mainprize
Data sourced from clinicaltrials.gov
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