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Published on: August 1, 2019
[20% dissatisfied patients-Is this still true?]
Julia Kirschberg1, Georg Matziolis2
1Orthopaedics University Hospital Jena, Campus Eisenberg, Friedrich-Schiller-University, Waldkliniken Eisenberg, Klosterlausnitzer Straße 81, 07607, Eisenberg, Deutschland. J.Kirschberg@waldkliniken-eisenberg.de.
Patient satisfaction after total knee arthroplasty (TKA) is crucial but influenced by many factors. Understanding dissatisfaction risk factors and utilizing AI can improve predicting outcomes for knee replacement surgery.
Area of Science:
- Orthopedic Surgery
- Patient-Reported Outcomes
- Artificial Intelligence in Medicine
Context:
- Total knee arthroplasty (TKA) success is often measured by patient satisfaction.
- Historically, dissatisfaction rates around 20% necessitate a nuanced understanding based on current data.
- Patient satisfaction is complex, distinct from the absence of dissatisfaction, and includes neutral assessments.
Purpose:
- To analyze the multifaceted factors influencing patient satisfaction post-TKA.
- To evaluate the limitations of Patient-Reported Outcome Measures (PROMs) in assessing satisfaction.
- To identify risk factors for postoperative dissatisfaction following knee prosthesis implantation.
Summary:
- Patient satisfaction after TKA is a key metric influenced by individual and methodological factors.
- Dissatisfaction rates require careful consideration, acknowledging neutral responses and PROM limitations.
- Risk factors for dissatisfaction exist, and both surgeon assessment and AI models show promise for prediction.
Impact:
- Highlights the need for comprehensive assessment of TKA outcomes beyond simple satisfaction scores.
- Suggests improved prediction of patient satisfaction through clinical expertise and AI.
- Informs strategies for enhancing patient experience and outcomes in knee replacement surgery.
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