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Development of a patient-centred tool for use in total hip arthroplasty

Author

Listed:
  • Anne Lübbeke
  • Stéphane Cullati
  • Christophe Baréa
  • Sophie Cole
  • Gianluca Fabiano
  • Alan Silman
  • Nils Gutacker
  • Thomas Agoritsas
  • Didier Hannouche
  • Rafael Pinedo-Villanueva

Abstract

Background: The aim of this project was to develop a tool using the experience of previous patients to inform patient-centred clinical decision-making in the context of total hip arthroplasty (THA). We sought out the patients’ views on what is important for them, leveraging registry data, and providing outcome information that is perceived as relevant, understandable, adapted to a specific patient’s profile, and readily available. Methods: We created the information tool “Patients like me” in four steps. (1) The knowledge basis was the systematically collected detailed exposure and outcome information from the Geneva Arthroplasty Registry established 1996. (2) From the registry we randomly selected 275 patients about to undergo or having already undergone THA and asked them via interviews and a survey which benefits and harms associated with the operation and daily life with the prosthesis they perceived as most important. (3) The identified relevant data (39 predictor candidates, 15 outcomes) were evaluated using Conditional Inference Trees analysis to construct a classification algorithm for each of the 15 outcomes at three different time points/periods. Internal validity of the results was tested using bootstrapping. (4) The tool was designed by and pre-tested with patients over several iterations. Results: Data from 6836 primary elective THAs operated between 1996 and 2019 were included. The trajectories for the 15 outcomes from the domains pain relief, activity improvement, complication (infection, dislocation, peri-prosthetic fracture) and what to expect in the future (revision surgery, need for contralateral hip replacement) over up to 20 years after surgery were presented for all patients and for specific patient profiles. The tool was adapted to various purposes including individual use, group sessions, patient-clinician interaction and surgeon information to complement the preoperative planning. The pre-test patients’ feedback to the tool was unanimously positive. They considered it interesting, clear, complete, and complementary to other information received. Conclusion: The tool based on a survey of patients’ perceived concerns and interests and the corresponding long-term data from a large institutional registry makes past patients’ experience accessible, understandable, and visible for today’s patients and their clinicians. It is a comprehensive illustration of trajectories of relevant outcomes from previous “Patients like me”. This principle and methodology can be applied in other medical fields.

Suggested Citation

  • Anne Lübbeke & Stéphane Cullati & Christophe Baréa & Sophie Cole & Gianluca Fabiano & Alan Silman & Nils Gutacker & Thomas Agoritsas & Didier Hannouche & Rafael Pinedo-Villanueva, 2024. "Development of a patient-centred tool for use in total hip arthroplasty," PLOS ONE, Public Library of Science, vol. 19(10), pages 1-16, October.
    • Handle: RePEc:plo:pone00:0307752
    DOI: 10.1371/journal.pone.0307752
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    References listed on IDEAS

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    1. van Buuren, Stef & Groothuis-Oudshoorn, Karin, 2011. "mice: Multivariate Imputation by Chained Equations in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 45(i03).
    2. Lars Holmberg & Andrew Vickers, 2013. "Evaluation of Prediction Models for Decision-Making: Beyond Calibration and Discrimination," PLOS Medicine, Public Library of Science, vol. 10(7), pages 1-2, July.
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