Literature DB >> 31230957

Early Experience and Results Using Patient-Reported Outcomes Measurement Information System Scores in Primary Total Hip and Knee Arthroplasty.

Kelly R Stiegel1, Jonathan G Lash1, Andrew J Peace1, Michelle M Coleman1, Melvyn A Harrington1, Catherine W Cahill2.   

Abstract

BACKGROUND: Our study determined if preoperative Patient-Reported Outcomes Measurement Information System (PROMIS) scores could predict achieving minimum clinically important differences (MCIDs) in postoperative PROMIS scores after primary total hip and knee arthroplasty.
METHODS: Ninety-three patients were administered the PROMIS Depression, Pain Interference, and Physical Function domains at their preoperative appointment and 6-week follow-up visit. MCIDs were drawn from existing literature for the PROMIS domains.
RESULTS: The MCID was achieved in 74% of patients for Pain Interference, 34% for Physical Function, and 24% for Depression. Our model could predict with 90% specificity which patients would meet MCID if their preop PROMIS Pain score was above 38, Physical Function score less than 19, or Depression score above 22.
CONCLUSION: Preoperative PROMIS Pain Interference, Physical Function, and Depression scores can predict achieving MCID in postoperative PROMIS scores.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  PROMIS; patient outcomes; patient selection; total hip arthroplasty; total knee arthroplasty

Year:  2019        PMID: 31230957     DOI: 10.1016/j.arth.2019.05.044

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


  5 in total

1.  The relationship between depression, anxiety, and pain interference with therapy referral and utilization among patients with hand conditions.

Authors:  Shannon K Cochrane; Ryan P Calfee; Macyn M Stonner; Ann Marie Dale
Journal:  J Hand Ther       Date:  2020-10-15       Impact factor: 1.908

2.  Measurement properties of PROMIS short forms for pain and function in total hip arthroplasty patients.

Authors:  Anika Stephan; Vincent A Stadelmann; Michael Leunig; Franco M Impellizzeri
Journal:  J Patient Rep Outcomes       Date:  2021-05-30

3.  Longitudinal study of knee load avoidant movement behavior after total knee arthroplasty with recommendations for future retraining interventions.

Authors:  Jesse C Christensen; Christopher E Pelt; K Bo Foreman; Paul C LaStayo; Andrew E Anderson; Jeremy M Gililland; Ryan L Mizner
Journal:  Knee       Date:  2021-04-17       Impact factor: 2.423

4.  Preoperative and Postoperative Patient-Reported Outcome Measurement Information System Scores in Patients Treated for Benign Versus Malignant Soft Tissue Tumors.

Authors:  Jonathan F Dalton; Ryan Furdock; Landon Cluts; Bharadwaj Jilakara; Douglas Mcdonald; Ryan Calfee; Cara Cipriano
Journal:  Cureus       Date:  2022-05-31

5.  Can minimal clinically important differences in patient reported outcome measures be predicted by machine learning in patients with total knee or hip arthroplasty? A systematic review.

Authors:  Benedikt Langenberger; Andreas Thoma; Verena Vogt
Journal:  BMC Med Inform Decis Mak       Date:  2022-01-20       Impact factor: 2.796

  5 in total

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