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A pilot study on preferences from surgeons to deal with an innovative customized and connected knee prosthesis - A discret choice experiment. | LitMetric

A pilot study on preferences from surgeons to deal with an innovative customized and connected knee prosthesis - A discret choice experiment.

Heliyon

Institut Mines-Telecom, IMT Atlantique, LATIM, UMR 1101, M@rsouin, 655 Av. du Technopôle, 29280, Plouzané, France.

Published: May 2024

Background: To address the increasing global demand for Total Knee Arthroplasty and reduce the need for revisions, several technologies combining 3D planning and artificial intelligence have emerged. These innovations aim to enhance customization, improve component positioning accuracy and precision. The integration of these advancements paves the way for the development of personalized and connected knee implant.

Questions/purposes: These groundbreaking advancements may necessitate changes in surgical practices. Hence, it is important to comprehend surgeons' intentions in integrating these technologies into their routine procedures. Our study aims to assess how surgeons' preferences will affect the acceptability of using this new implant and associated technologies within the entire care chain.

Methods: We employed a Discrete Choice Experiment, a predictive technique mirroring real-world healthcare decisions, to assess surgeons' trade-off evaluations and preferences.

Results: A total of 90 experienced surgeons, performing a significant number of procedures annually (mostly over 51) answered. Analysis indicates an affinity for technology but limited interest in integrating digital advancements like preoperative software and robotics. However, they are receptive to practice improvements and considering the adoption of future sensors.

Conclusions: In conclusion, surgeons prefer customized prostheses via augmented reality, accepting extra cost. Embedded sensor technology is deemed premature by them.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11112283PMC
http://dx.doi.org/10.1016/j.heliyon.2024.e30041DOI Listing

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