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Applying multidimensional computerized adaptive testing to the MSQOL-54: a simulation study.
Giordano, Andrea; Testa, Silvia; Bassi, Marta; Cilia, Sabina; Bertolotto, Antonio; Quartuccio, Maria Esmeralda; Pietrolongo, Erika; Falautano, Monica; Grobberio, Monica; Niccolai, Claudia; Allegri, Beatrice; Viterbo, Rosa Gemma; Confalonieri, Paolo; Giovannetti, Ambra Mara; Cocco, Eleonora; Grasso, Maria Grazia; Lugaresi, Alessandra; Ferriani, Elisa; Nocentini, Ugo; Zaffaroni, Mauro; De Livera, Alysha; Jelinek, George; Solari, Alessandra; Rosato, Rosalba.
Afiliação
  • Giordano A; Unit of Neuroepidemiology, Fondazione IRRCS Istituto Neurologico Carlo Besta, Via Celoria 11, Milan, 20133, Italy.
  • Testa S; Department of Psychology, University of Turin, Turin, Italy.
  • Bassi M; Department of Human and Social Sciences, University of Aosta Valley, Aosta, Italy.
  • Cilia S; Department of Biomedical and Clinical Sciences, Università di Milano, Milan, Italy.
  • Bertolotto A; Department of Territorial Activities, Azienda Sanitaria Provinciale, Health District, Catania, Italy.
  • Quartuccio ME; Neurology Unit & Regional Referral Multiple Sclerosis Centre (CReSM), University Hospital San Luigi Gonzaga, Orbassano, Italy.
  • Pietrolongo E; Department of Neuroscience, San Camillo-Forlanini Hospital, Rome, Italy.
  • Falautano M; Department of Neurosciences, Imaging and Clinical Sciences, University G. d'Annunzio, Chieti, Italy.
  • Grobberio M; Psychological Service - Neurological and Neurological Rehabilitation Units, IRCCS San Raffaele, Milan, Italy.
  • Niccolai C; Laboratory of Clinical Neuropsychology, Psychology Unit, ASST Lariana, Como, Italy.
  • Allegri B; IRCCS Don Gnocchi Foundation, Florence, Italy.
  • Viterbo RG; Multiple Sclerosis Center, Neurology Unit, Hospital of Vaio, Fidenza, Italy.
  • Confalonieri P; Azienda Sanitaria Locale, ASL-BA, Bari, Italy.
  • Giovannetti AM; Multiple Sclerosis Center, Unit of Neuroimmunology and Neuromuscular Diseases, Fondazione IRRCS Istituto Neurologico Carlo Besta, Milan, Italy.
  • Cocco E; Unit of Neuroepidemiology, Fondazione IRRCS Istituto Neurologico Carlo Besta, Via Celoria 11, Milan, 20133, Italy.
  • Grasso MG; Multiple Sclerosis Center, Unit of Neuroimmunology and Neuromuscular Diseases, Fondazione IRRCS Istituto Neurologico Carlo Besta, Milan, Italy.
  • Lugaresi A; Department of Medical Science and Public Health, University of Cagliari, Cagliari, Italy.
  • Ferriani E; Multiple Sclerosis Center, ASL Cagliari, ATS Sardegna, Cagliari, Italy.
  • Nocentini U; Multiple Sclerosis Unit, IRCCS S. Lucia Foundation, Rome, Italy.
  • Zaffaroni M; Dipartimento di Scienze Biomediche e Neuromotorie, Università di Bologna, Bologna, Italy.
  • De Livera A; IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy.
  • Jelinek G; UOC Psicologia Ospedaliera, AUSL di Bologna, Bologna, Italy.
  • Solari A; Department of Clinical Sciences and Translational Medicine, University of Rome "Tor Vergata", Rome, Italy.
  • Rosato R; Behavioral Neuropsychology Laboratory, IRCCS S. Lucia Foundation, Rome, Italy.
Health Qual Life Outcomes ; 21(1): 61, 2023 Jun 25.
Article em En | MEDLINE | ID: mdl-37357308
ABSTRACT

BACKGROUND:

The Multiple Sclerosis Quality of Life-54 (MSQOL-54) is one of the most commonly-used MS-specific health-related quality of life (HRQOL) measures. It is a multidimensional, MS-specific HRQOL inventory, which includes the generic SF-36 core items, supplemented with 18 MS-targeted items. Availability of an adaptive short version providing immediate item scoring may improve instrument usability and validity. However, multidimensional computerized adaptive testing (MCAT) has not been previously applied to MSQOL-54 items. We thus aimed to apply MCAT to the MSQOL-54 and assess its performance.

METHODS:

Responses from a large international sample of 3669 MS patients were assessed. We calibrated 52 (of the 54) items using bifactor graded response model (10 group factors and one general HRQOL factor). Then, eight simulations were run with different termination criteria standard errors (SE) for the general factor and group factors set to different values, and change in factor estimates from one item to the next set at < 0.01 for both the general and the group factors. Performance of the MCAT was assessed by the number of administered items, root mean square difference (RMSD), and correlation.

RESULTS:

Eight items were removed due to local dependency. The simulation with SE set to 0.32 (general factor), and no SE thresholds (group factors) provided satisfactory performance the median number of administered items was 24, RMSD was 0.32, and correlation was 0.94.

CONCLUSIONS:

Compared to the full-length MSQOL-54, the simulated MCAT required fewer items without losing precision for the general HRQOL factor. Further work is needed to add/integrate/revise MSQOL-54 items in order to make the calibration and MCAT performance efficient also on group factors, so that the MCAT version may be used in clinical practice and research.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Qualidade de Vida / Teste Adaptativo Computadorizado / Esclerose Múltipla Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Adolescent / Adult / Aged / Aged80 / Humans / Middle aged Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Qualidade de Vida / Teste Adaptativo Computadorizado / Esclerose Múltipla Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Adolescent / Adult / Aged / Aged80 / Humans / Middle aged Idioma: En Ano de publicação: 2023 Tipo de documento: Article