Measurement Properties of the Oxford Shoulder Score and Minimal Clinically Important Changes After Primary Total Shoulder Replacement Surgery

Author:

Fang Yi Ying1,Ackerman Ilana N.1ORCID,Page Richard2,Harris Ian A.3,Cashman Kara4,Lorimer Michelle4,Heath Emma5,Soh Sze‐Ee1ORCID

Affiliation:

1. Monash University Melbourne Victoria Australia

2. St John of God Hospital and Deakin University, Geelong, Victoria, Australia, and Australian Orthopaedic Association National Joint Replacement Registry Adelaide South Australia Australia

3. University of New South Wales Sydney Sydney New South Wales Australia

4. South Australian Health and Medical Research Institute Adelaide South Australia Australia

5. Monash University, Melbourne, Victoria, Australia, and South Australian Health and Medical Research Institute Adelaide South Australia Australia

Abstract

ObjectiveWe evaluated the measurement properties of the Oxford Shoulder Score (OSS) and estimated the minimal clinically important change (MCIC) in patients undergoing primary total shoulder replacement in Australia.MethodsDeidentified data from the Australian Orthopaedic Association National Joint Replacement Registry were used for this analysis. Pre‐ and 6‐month postoperative OSS scores were used, with the 5‐level EuroQoL quality of life instrument and shoulder pain scores used as comparators. Floor and ceiling effects, internal consistency reliability, construct validity, and responsiveness to change were evaluated using standard psychometric methods. Mean change and predictive modeling approaches (with and without adjustment for the proportion of improved patients) were used to calculate MCIC thresholds, with patient‐perceived improvement after surgery as the anchor.ResultsPreoperative OSS data were available for 1,117 patients (59% female; 90% aged ≥60 years) undergoing primary total shoulder replacement. No floor or ceiling effects were observed pre‐ or postoperatively. The OSS showed high internal consistency reliability (Cronbach alpha >0.89), good construct validity, and high responsiveness to change (effect size 1.88). The MCIC derived from the mean change method was 6.50 points (95% confidence interval [95% CI] 4.41–8.61). The predictive modeling approach produced an MCIC estimate of 8.42 points (95% CI 5.68–12.23) after adjustment.ConclusionThe OSS has good measurement properties to capture pain and function outcomes after shoulder replacement procedures and is highly responsive to change. Based on robust methods, an increase in OSS scores of at least eight points can be considered as meaningful improvement after surgery from the patient's perspective. image

Publisher

Wiley

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