Overcoming floor and ceiling effects in knee arthroplasty outcome measurement

© 2023 Author(s) et al..

Aims: To map the Oxford Knee Score (OKS) and High Activity Arthroplasty Score (HAAS) items to a common scale, and to investigate the psychometric properties of this new scale for the measurement of knee health.

Methods: Patient-reported outcome measure (PROM) data measuring knee health were obtained from the NHS PROMs dataset and Total or Partial Knee Arthroplasty Trial (TOPKAT). Assumptions for common scale modelling were tested. A graded response model (fitted to OKS item responses in the NHS PROMs dataset) was used as an anchor to calibrate paired HAAS items from the TOPKAT dataset. Information curves for the combined OKS-HAAS model were plotted. Bland-Altman analysis was used to compare common scale scores derived from OKS and HAAS items. A conversion table was developed to map between HAAS, OKS, and the common scale.

Results: We included 3,329 response sets from 528 patients undergoing knee arthroplasty. These generally met the assumptions of unidimensionality, monotonicity, local independence, and measurement invariance. The HAAS items provided more information than OKS items at high levels of knee health. Combining both instruments resulted in higher test-level information than either instrument alone. The mean error between common scale scores derived from the OKS and HAAS was 0.29 logits.

Conclusion: The common scale allowed more precise measurement of knee health than use of either the OKS or HAAS individually. These techniques for mapping PROM instruments may be useful for the standardization of outcome reporting, and pooling results across studies that use either PROM in individual-patient meta-analysis.

Medienart:

E-Artikel

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

Zur Gesamtaufnahme - volume:12

Enthalten in:

Bone & joint research - 12(2023), 10 vom: 04. Okt., Seite 624-635

Sprache:

Englisch

Beteiligte Personen:

Harrison, Conrad J [VerfasserIn]
Plessen, Constantin Y [VerfasserIn]
Liegl, Gregor [VerfasserIn]
Rodrigues, Jeremy N [VerfasserIn]
Sabah, Shiraz A [VerfasserIn]
Beard, David J [VerfasserIn]
Fischer, Felix [VerfasserIn]

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Journal Article

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Date Revised 06.10.2023

published: Electronic

Citation Status PubMed-not-MEDLINE

doi:

10.1302/2046-3758.1210.BJR-2022-0457.R1

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM362825726