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. 2024 Apr 18;14(1):8954.
doi: 10.1038/s41598-024-58910-1.

Development and validation of the rheumatoid arthritis scale among the system of quality of life instruments for chronic diseases QLICD-RA (V2.0)

Affiliations

Development and validation of the rheumatoid arthritis scale among the system of quality of life instruments for chronic diseases QLICD-RA (V2.0)

Zheng Yang et al. Sci Rep. .

Abstract

Rheumatoid Arthritis is a more serious threatening to people and suitable for QOL measurement. A few specific QOL instruments are available without considering Chinese culture. The present study was aimed to develop and validate the Rheumatoid Arthritis Scale among the System of Quality of Life Instruments for Chronic Diseases (QLICD-RA V2.0). The data collected from 379 patients with RA was used to evaluate the psychometric properties of the scale. The reliability was evaluated by the internal consistency Cronbach's α, test-retest reliability Pearson correlation r and intra-class correlation (ICC). We evaluated the construct validity and criteria-related validity by correlation analysis and structural equation modeling. We compared the differences in scores of QLICD-RA before and after treatment and used the Standard Response Mean (SRM) to assess the responsiveness. The results showed that the internal consistency coefficient Cronbach's α values were greater than 0.70. The correlations r and ICCs were greater than 0.80. The correlation analysis and structural equation modeling confirmed good construct validity and criterion-related validity. The SRM ranges from 0.07 to 0.27 for significant domains/facets. It concluded that QLICD-RA (2.0) is a reliable and valid instrument to measure QOL among patients with RA.

Keywords: Instrument; Quality of life; Rheumatoid arthritis; Validation.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Figure 1
Figure 1
Steps towards development and validation procedure of QLICD-RA (V2.0).
Figure 2
Figure 2
The structure of the general module of QLICD-RA by structural equation modeling.
Figure 3
Figure 3
The structure of the specific module of QLICD-RA by structural equation modeling.

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