Background MSQOL-54 is a multidimensional, widely-used, health-related quality of life (HRQOL) instrument specific for multiple sclerosis (MS). Findings from the validation study suggested that the two MSQOL-54 composite scores are correlated. Given this correlation, it could be assumed that a unique total score of HRQOL may be calculated, with the advantage to provide key stakeholders with a single overall HRQOL score. We aimed to assess how well the bifactor model could account for the MSQOL-54 structure, in order to verify whether a total HRQOL score can be calculated. Methods A large international database (3669 MS patients) was used. By means of confirmatory factor analysis, we estimated a bifactor model in which every item loads onto both a general factor and a group factor. Fit of the bifactor model was compared to that of single and two second-order factor models by means of Akaike information and Bayesian information criteria reduction. Reliability of the total and subscale scores was evaluated with Mc Donald's coefficients (omega, and omega hierarchical). Results The bifactor model outperformed the two second-order factor models in all the statistics. All items loaded satisfactorily (>= 0.40) on the general HRQOL factor, except the sexual function items. Omega coefficients for total score were very satisfactory (0.98 and 0.87). Omega hierarchical for subscales ranged between 0.22 to 0.57, except for the sexual function (0.70). Conclusions The bifactor model is particularly useful when it is intended to acknowledge multidimensionality and at the same time take account of a single general construct, as the HRQOL related to MS. The total raw score can be used as an estimate of the general HRQOL latent score.

Giordano, A., Testa, S., Bassi, M., Cilia, S., Bertolotto, A., Quartuccio, M.e., et al. (2021). Viability of a MSQOL-54 general health-related quality of life score using bifactor model. HEALTH AND QUALITY OF LIFE OUTCOMES, 19(1), 224 [10.1186/s12955-021-01857-y].

Viability of a MSQOL-54 general health-related quality of life score using bifactor model

Testa S.;Nocentini U.;
2021-01-01

Abstract

Background MSQOL-54 is a multidimensional, widely-used, health-related quality of life (HRQOL) instrument specific for multiple sclerosis (MS). Findings from the validation study suggested that the two MSQOL-54 composite scores are correlated. Given this correlation, it could be assumed that a unique total score of HRQOL may be calculated, with the advantage to provide key stakeholders with a single overall HRQOL score. We aimed to assess how well the bifactor model could account for the MSQOL-54 structure, in order to verify whether a total HRQOL score can be calculated. Methods A large international database (3669 MS patients) was used. By means of confirmatory factor analysis, we estimated a bifactor model in which every item loads onto both a general factor and a group factor. Fit of the bifactor model was compared to that of single and two second-order factor models by means of Akaike information and Bayesian information criteria reduction. Reliability of the total and subscale scores was evaluated with Mc Donald's coefficients (omega, and omega hierarchical). Results The bifactor model outperformed the two second-order factor models in all the statistics. All items loaded satisfactorily (>= 0.40) on the general HRQOL factor, except the sexual function items. Omega coefficients for total score were very satisfactory (0.98 and 0.87). Omega hierarchical for subscales ranged between 0.22 to 0.57, except for the sexual function (0.70). Conclusions The bifactor model is particularly useful when it is intended to acknowledge multidimensionality and at the same time take account of a single general construct, as the HRQOL related to MS. The total raw score can be used as an estimate of the general HRQOL latent score.
2021
Pubblicato
Rilevanza internazionale
Articolo
Sì, ma tipo non specificato
Settore MED/26 - NEUROLOGIA
English
Bifactor model
Dimensionality
Factor analyses
Health-related quality of life
MSQOL-54
Multiple sclerosis
Bayes Theorem
Factor Analysis, Statistical
Humans
Models, Statistical
Models, Theoretical
Multiple Sclerosis
Reproducibility of Results
Surveys and Questionnaires
Quality of Life
Giordano, A., Testa, S., Bassi, M., Cilia, S., Bertolotto, A., Quartuccio, M.e., et al. (2021). Viability of a MSQOL-54 general health-related quality of life score using bifactor model. HEALTH AND QUALITY OF LIFE OUTCOMES, 19(1), 224 [10.1186/s12955-021-01857-y].
Giordano, A; Testa, S; Bassi, M; Cilia, S; Bertolotto, A; Quartuccio, Me; Pietrolongo, E; Falautano, M; Grobberio, M; Niccolai, C; Allegri, B; Viterbo, Rg; Confalonieri, P; Giovannetti, Am; Cocco, E; Grasso, Mg; Lugaresi, A; Ferriani, E; Nocentini, U; Zaffaroni, M; De Livera, A; Jelinek, G; Solari, A; Rosato, R
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/290930
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