Literature DB >> 31056443

External Validity of a New Prediction Model for Patient Satisfaction After Total Knee Arthroplasty.

Tyler E Calkins1, Chris Culvern1, Cindy R Nahhas1, Craig J Della Valle1, Tad L Gerlinger1, Brett R Levine1, Denis Nam1.   

Abstract

BACKGROUND: The ability to identify patients at risk of dissatisfaction after total knee arthroplasty (TKA) remains elusive. This study's purpose was to determine the external validity of a recently published prediction model for patient satisfaction (PMPS) with the hypothesis that it would achieve similar predictive success in our study sample.
METHODS: A 10-question PMPS statistically derived from 5 patient-reported outcome questionnaires was tested for external validity in this prospective cohort investigation. The PMPS incorporates gender, age, stiffness, noise, and pain catastrophizing, with a score of 20 or greater predictive of satisfaction. As in the original study, to determine satisfaction the 2011 Knee Society Score (KSS) satisfaction subscale was collected at 3 months postoperatively. Two hundred seventy-four patients were administered the PMPS preoperatively, and 145 patients completed the KSS at 3 months postoperatively (53.0% response rate; 59% female; age, 64.9; body mass index, 32.5). A Bland-Altman analysis to assess agreement was performed.
RESULTS: One hundred thirty-three patients (91.7%) were satisfied and 12 (8.3%) were dissatisfied based on their postoperative KSS. The mean difference between the PMPS and KSS was 3.6 ± 8, but with a 95% prediction interval of -15.3 to 22.1 signifying almost no correlation. The PMPS did not predict any of the 12 dissatisfied patients postoperatively, and falsely predicted 5 patients to be dissatisfied of which 4 actually had a maximum postoperative KSS of 40.
CONCLUSION: A previously published, internally validated 10-question PMPS was unable to predict satisfaction after TKA in our external study sample. This study emphasizes the difficulty of developing a simple, but robust questionnaire that consistently predicts patient satisfaction after TKA.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  dissatisfaction; outcomes; prediction; satisfaction; total knee arthroplasty

Mesh:

Year:  2019        PMID: 31056443     DOI: 10.1016/j.arth.2019.04.021

Source DB:  PubMed          Journal:  J Arthroplasty        ISSN: 0883-5403            Impact factor:   4.757


  6 in total

1.  Outpatient physiotherapy versus home-based rehabilitation for patients at risk of poor outcomes after knee arthroplasty: CORKA RCT.

Authors:  Karen L Barker; Jon Room; Ruth Knight; Susan J Dutton; Fran Toye; Jose Leal; Seamus Kent; Nicola Kenealy; Michael M Schussel; Gary Collins; David J Beard; Andrew Price; Martin Underwood; Avril Drummond; Elaine Cook; Sarah E Lamb
Journal:  Health Technol Assess       Date:  2020-11       Impact factor: 4.014

2.  A qualitative study to understand patients' experiences of their post-operative outcomes following forefoot surgery.

Authors:  Lorelle Louise Dismore; Anna van Wersch; Rebecca Critchley; Aradhyula Murty; Katherine Swainston
Journal:  Br J Pain       Date:  2022-01-31

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

Authors:  Junya Itou; Masafumi Itoh; Umito Kuwashima; Ken Okazaki
Journal:  Orthop Res Rev       Date:  2020-09-09

4.  Predictive Models for Clinical Outcomes in Total Knee Arthroplasty: A Systematic Analysis.

Authors:  Cécile Batailler; Timothy Lording; Daniele De Massari; Sietske Witvoet-Braam; Stefano Bini; Sébastien Lustig
Journal:  Arthroplast Today       Date:  2021-04-24

Review 5.  Artificial intelligence in knee arthroplasty: current concept of the available clinical applications.

Authors:  Cécile Batailler; Jobe Shatrov; Elliot Sappey-Marinier; Elvire Servien; Sébastien Parratte; Sébastien Lustig
Journal:  Arthroplasty       Date:  2022-05-02

6.  Perioperative predictability of unsatisfactory functional outcomes 6 months after hip arthroplasty.

Authors:  Axel Jakuscheit; Johannes Weth; Gregor Lichtner; Konstantin Horas; Benno Rehberg-Klug; Falk von Dincklage
Journal:  J Orthop       Date:  2021-02-13
  6 in total

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