ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2015
Comparing the impact of psoriasis and atopic dermatitis on quality of life: co-calibration of the PSORIQoL and QoLIAD.
Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
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Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Patient-Reported Outcome Measures for Health-Related Quality of Life in Patients With Psoriasis: A Systematic Review.JAMA dermatology · 2024Pooled it
- Dimensionality and psychometric analysis of DLQI in a Brazilian population.Health and quality of life outcomes · 2020Article
- Introduction to special section: quantitative methods.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2015Article
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Authors and funding
2 authors.
Funding
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Abstract
backgroundDisease-specific patient-reported outcome (PRO) measures are designed to be highly relevant to one disease. It is widely believed that comparisons of outcomes between patients with different diseases are only possible using generic measures. The present study employs a novel method of using Rasch analysis to co-calibrate scores from different disease-specific PRO measures, allowing scores to be compared across diseases.
methodsPsoriasis patients (n = 146, mean age = 44.4, males = 50 %) completed the Psoriasis Quality of Life scale (PSORIQoL) and atopic dermatitis patients (n = 146, mean age = 45.5, males = 50 %) the Quality of Life in Atopic Dermatitis scale (QoLIAD). Both measures employ the needs-based model of QoL, and they share five common items-providing a link between assessments. The groups were analysed separately, and then combined to test fit to the Rasch model.
resultsBoth scales showed good fit to the Rasch model after minor adjustments (PSORIQoL: χ (2) p = 0.25; QoLIAD: χ (2) p = 0.51). For the combined dataset, one common item showing differential item functioning by disease was removed and fit to the Rasch model was achieved (χ (2) p = 0.08). The co-calibrated scale successfully distinguished between perceived severity groups (p < 0.001).
conclusionsIt is possible to co-calibrate scores on the PSORIQoL and QoLIAD. This is one of the first studies in health research to demonstrate how Rasch analysis can be used to make comparisons across diseases using different disease-specific measures. Such an approach maintains the greater relevance and, consequently, accuracy associated with disease-specific measurement.
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