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Assessing the Validity of a New Prediction Model for Patient Satisfaction After Total Knee Arthroplasty: A Retrospective Cross-Sectional Study.

Junya ItouMasafumi ItohUmito KuwashimaKen Okazaki
Published in: Orthopedic research and reviews (2020)
Our data suggest that the predictive model had a low predictive value and that it had limited applicability to Japanese patients. The results also suggest that a tendency toward catastrophic thinking is associated with discrepancy between preoperatively predicted postoperative patient satisfaction and actual postoperative patient satisfaction. The predictive model has low utility and needs some modification.
Keyphrases
  • patient satisfaction
  • patients undergoing
  • electronic health record
  • pain management
  • machine learning
  • data analysis
  • artificial intelligence