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Translation, Cross-Cultural Adaptation and Validation of the Chinese Version of the High Activity Arthroplasty Score

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Specialty Health Services
Date 2024 May 6
PMID 38706693
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Abstract

Background: The High Activity Arthroplasty Score (HAAS) is a validated score that assesses functional outcomes after lower limb arthroplasty, with fewer ceiling effects than other scores. The aim is to translate and cross-culturally adapt the HAAS into a Chinese version (HAAS-C) and to evaluate the psychometric properties of HAAS-C in patients after primary total knee arthroplasty (TKA).

Methods: A total of 104 patients diagnosed with knee osteoarthritis who had undergone TKA at least 12 months prior were recruited. A forward and backward translation procedure was performed for developing a culturally acceptable HAAS-C. Internal consistency was assessed using Cronbach's α, and test-retest reliability was measured using the intraclass correlation coefficient (ICC) within a 10-day interval. Construct validity was assessed by examining the correlations between HAAS-C and the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), EuroQoL Group's five-dimension questionnaire (EQ-5D-5L), and Oxford knee score (OKS).

Results: HAAS-C demonstrated adequate Internal consistency reliability, as indicated by Cronbach's α coefficient of 0.75. Test-retest reliability yielded excellent results, with an ICC value of 0.98. Content validity indices were high, with a scale-level validity index of 0.9 and item-level validity indices greater than or equal to 0.8. HAAS-C showed a strong correlation with WOMAC ( = 0.69), a moderate correlation with EQ-5D-5L ( = 0.43), and OKS ( = 0.53) while exhibiting no floor or ceiling effects.

Conclusion: The validated HAAS-C questionnaire is a valid instrument for assessing patients undergoing TKA in mainland China.

Citing Articles

A multi-phase approach for developing a conceptual model and preliminary content for patient-reported outcome measurement in TKA patients: from a Chinese perspective.

Xu C, Wei J, Li L, Yao S, Chang X, Ma J Qual Life Res. 2024; .

PMID: 39625626 DOI: 10.1007/s11136-024-03850-6.

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