Estimating health related quality of life effects in vitiligo. Mapping EQ-5D-5 L utilities from vitiligo specific scales: VNS, VitiQoL and re-pigmentation measures using data from the HI-Light trial.

Autor: Begum R; Department of Population Health Sciences, University of Leicester, Leicester, UK. rk406@le.ac.uk., Crott R; IRSS, Catholic University of Louvain, Brussels, 1200, Belgium., Martina R; Open University UK, Milton Keynes, UK., Loizidou EM; Biobank.cy, Center of Excellence in Biobanking and Biomedical Research, University of Cyprus, Nicosia, Cyprus., Khan I; Warwick Clinical Trials Unit, Warwick Medical School, University of Warwick, Coventry, UK.
Jazyk: angličtina
Zdroj: Health and quality of life outcomes [Health Qual Life Outcomes] 2023 Aug 10; Vol. 21 (1), pp. 85. Date of Electronic Publication: 2023 Aug 10.
DOI: 10.1186/s12955-023-02172-4
Abstrakt: Background: Vitiligo is reported to affect 2% of the world's population and has a significant impact on health related quality of life (HRQoL). The relationship between HRQoL and clinical outcomes used in vitiligo require further examination. Mapping condition specific measures of HRQoL: vitiligo specific quality of life instrument (VitiQoL), vitiligo noticeability scale (VNS) and vitiligo re-pigmentation scores (RPS) to the EQ-5D have not yet been reported.
Methods: Data collected from a randomised clinical trial (HI-Light) in vitiligo was used to develop mapping algorithms for the EQ-5D-5 L and the relationship between HRQoL, clinical outcomes and EQ-5D were investigated. Two EQ-5D-5 L value sets (Van Hout and Alava) using linear and non-linear models were considered. Logistic regression models were used to model the probability of vitiligo noticeability (VNS) in terms of RPS, EQ-5D and VitiQoL scores.
Results: Mapping from RPS appeared to perform better followed by VNS for the Alava crosswalks using polynomial models: Mean observed vs. predicted utilities of 0.9008 (0.005) vs. 0.8984 (0.0004) were observed for RPS. For VNS, mean observed vs. predicted utilities of 0.9008 (0.005) vs. 0.8939 (0.0003) were observed. For VitiQoL, mean observed vs. predicted utilities of 0.9008 (0.005) vs. 0.8912 (0.0002) were observed. For patients with the least re-pigmentation (RPS < 25%), a Total VitiQoL score of about 20 points gives around an 18% chance of vitiligo being no longer or a lot less noticeable.
Conclusion: The algorithm based on RPS followed by VNS performed best. The relationship between effects from vitiligo specific HRQoL instruments and clinical RPS was established allowing for plausible clinically relevant differences to be identified, although further work is required in this area.
(© 2023. BioMed Central Ltd., part of Springer Nature.)
Databáze: MEDLINE
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