Knee replacement outcome predicted by physiotherapists: a prospective cohort study

PeerJ

article

Marius Henriksen¹  Hiwa Mukriyani¹  Carsten Juhl² 

[1] The Parker Institute, Copenhagen University Hospital Bispebjerg-Frederiksberg;Department of Physiotherapy and Occupational Therapy, Copenhagen University Hospital;Department of Sports Science and Clinical Biomechanics, University of Southern Denmark

关键词: Physiotherapy;    Rehabilitation;    Total knee replacement;   

DOI  :  10.7717/peerj.10838

学科分类：社会科学、人文和艺术（综合）

来源: Inra

【 摘 要 】

BackgroundKnee arthroplasty (KA) is commonly used for osteoarthritis of the knee joint and it is a highly successful procedure. Still, KA leaves 20% of patients dissatisfied with their outcome. The purpose of this study was to determine if a prognosis made by physiotherapists at the orthopaedic wards during the first post-operative days could predict the 6- and 12-months outcome of KA.MethodsPhysiotherapists at two orthopaedic wards in Denmark were asked to predict the 6- and 12-months outcome of the KA patients they have treated post-operatively on a 0–10 scale (10 representing the best prognosis). At 6 and 12 months post-operatively the patients answered the Oxford Knee Score (OKS), EuroQol 5D-3L and Patient Acceptable Symptom State (PASS). Multivariable logistic regression analyses were performed to assess the prediction of PASS and treatment success. We assessed predictive performance by examining measures of calibration and discrimination.ResultsA total of 361 patients were included. The models for PASS and Treatment Success showed poor to acceptable discriminative values (OR between 1.47 and 1.92 and areas under the curves of 0.62–0.73), however the calibration plots indicated significant uncertainties in the prediction.ConclusionPhysiotherapists prognoses of recovery after KA are associated with 6- and 12-months patient reported outcomes and satisfaction but have weak predictive value. This study suggests that physiotherapists’ prognoses may be useful as an additional source of information when identifying patients in need of additional post-operative care.

【 授权许可】

CC BY