A Multidimensional Computerized Adaptive Short-Form Quality of Life ă Questionnaire Developed and Validated for Multiple Sclerosis The ă MusiQoL-MCAT

Pierre Michel (), Karine Baumstarck, Badih Ghattas, Jean Pelletier, Anderson Loundou, Mohamed Boucekine, Pascal Auquier () and Laurent Boyer ()
Additional contact information
Karine Baumstarck: AMU - Aix Marseille Université
Jean Pelletier: CRMBM - Centre de résonance magnétique biologique et médicale - AMU - Aix Marseille Université - APHM - Assistance Publique - Hôpitaux de Marseille - CNRS - Centre National de la Recherche Scientifique, APHM - Assistance Publique - Hôpitaux de Marseille
Anderson Loundou: Unité d'Aide Méthodologique - APHM - Assistance Publique - Hôpitaux de Marseille - CHU Marseille
Mohamed Boucekine: SPMC - Santé Publique et maladies Chroniques : Qualité de vie Concepts, Usages et Limites, Déterminants - AMU - Aix Marseille Université - APHM - Assistance Publique - Hôpitaux de Marseille
Pascal Auquier: SPMC - Santé Publique et maladies Chroniques : Qualité de vie Concepts, Usages et Limites, Déterminants - AMU - Aix Marseille Université - APHM - Assistance Publique - Hôpitaux de Marseille
Laurent Boyer: C3M - Centre méditerranéen de médecine moléculaire - UNS - Université Nice Sophia Antipolis (1965 - 2019) - INSERM - Institut National de la Santé et de la Recherche Médicale - UniCA - Université Côte d'Azur

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Abstract: The aim was to develop a multidimensional computerized adaptive ă short-form questionnaire, the MusiQoL-MCAT, from a fixed-length QoL ă questionnaire for multiple sclerosis. ă A total of 1992 patients were enrolled in this international ă cross-sectional study. The development of the MusiQoL-MCAT was based on ă the assessment of between-items MIRT model fit followed by real-data ă simulations. The MCAT algorithm was based on Bayesian maximum a ă posteriori estimation of latent traits and Kullback-Leibler information ă item selection. We examined several simulations based on a fixed number ă of items. Accuracy was assessed using correlations (r) between initial ă IRT scores and MCAT scores. Precision was assessed using the standard ă error measurement (SEM) and the root mean square error (RMSE). ă The multidimensional graded response model was used to estimate item ă parameters and IRT scores. Among the MCAT simulations, the 16-item ă version of the MusiQoL-MCAT was selected because the accuracy and ă precision became stable with 16 items with satisfactory levels (r >= ă 0.9, SEM

Keywords: Quality (search for similar items in EconPapers)
Date: 2016-04
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Citations: View citations in EconPapers (1)

Published in Medicine, 2016, 95 (14)

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-01482540

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