Evidence map›Paper›PMID 34563229›Full record

ArticleHealth and quality of life outcomes2021

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

Andrea Giordano, Silvia Testa, Marta Bassi, Sabina Cilia, Antonio Bertolotto, Maria Esmeralda Quartuccio, Erika Pietrolongo, Monica Falautano, Monica Grobberio, Claudia Niccolai and 14 more

Registry-linked trialAbstract read
In one paragraph

Article in Health and quality of life outcomes, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06450600 (Enhancing Quality of Life in Multiple Sclerosis), which is not on this map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT06450600 naunknown statusnot on this mapstarted 2024, after this paper: background citation

Enhancing Quality of Life in Multiple Sclerosis: a Study Protocol to Evaluate the Impact of a Therapeutic Education Program

TypeinterventionalSponsorAkhrif ImanRan2024 to 2025Enrolled50ConditionsMultiple Sclerosis (MS)ArmsMultiple Sclerosis Therapeutic Education Program
3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Trial
  2. Article
  3. Evaluation of the Wisconsin Gait Scale in Patients With Multiple Sclerosis and Spastic Hemiplegia.Medical science monitor : international medical journal of experimental and clinical research · 2025
    Article
  4. Article
  5. Validation of the Arabic Version of the Multiple Sclerosis Impact Scale (MSIS-29): a Rasch Analysis Study.Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists · 2025
    Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

24 authors.

Andrea GiordanoUnit of Neuroepidemiology, Fondazione IRRCS Istituto Neurologico Carlo Besta, Milan, Italy.
Silvia TestaDepartment of Human and Social Sciences, University of Aosta Valley, Aosta, Italy.
Marta BassiDepartment of Biomedical and Clinical Sciences L. Sacco, Università di Milano, Milan, Italy.
Sabina CiliaDistretto Sanitario di Catania, ASP di Catania, Catania, Italy.
Antonio BertolottoNeurology Unit & Regional Referral Multiple Sclerosis Centre (CReSM), University Hospital San Luigi Gonzaga, Orbassano, Italy.
Maria Esmeralda QuartuccioDepartment of Neuroscience, San Camillo-Forlanini Hospital, Rome, Italy.
Erika PietrolongoDepartment of Neurosciences, Imaging and Clinical Sciences, University G. d'Annunzio, Chieti, Italy.
Monica FalautanoServizio di Psicologia e Neuropsicologia, UO di Neurologia e Riabilitazione Specialistica Neurologica, San Raffaele Hospital, Milan, Italy.
Monica GrobberioLaboratory of Clinical Neuropsychology, Psychology Unit, ASST Lariana, Como, Italy.
Claudia NiccolaiIRCCS Don Gnocchi Foundation, Florence, Italy.
Beatrice AllegriMultiple Sclerosis Center, Neurology Unit, Hospital of Vaio, Fidenza, Italy.
Rosa Gemma ViterboDepartment of Basic Medical Sciences, Neurosciences and Sense Organs, University of Bari, Bari, Italy.
Paolo ConfalonieriMultiple Sclerosis Center, Unit of Neuroimmunology and Neuromuscular Diseases, Fondazione IRRCS Istituto Neurologico Carlo Besta, Milan, Italy.
Ambra Mara GiovannettiUnit of Neuroepidemiology, Fondazione IRRCS Istituto Neurologico Carlo Besta, Milan, Italy.
Eleonora CoccoDepartment of Medical Science and Public Health, University of Cagliari, Cagliari, Italy.
Maria Grazia GrassoMultiple Sclerosis Unit, IRCCS S. Lucia Foundation, Rome, Italy.
Alessandra LugaresiIRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy.
Elisa FerrianiUOC Psicologia Ospedaliera, AUSL di Bologna, Bologna, Italy.
Ugo NocentiniDepartment of Clinical Sciences and Translational Medicine, University of Rome "Tor Vergata", Rome, Italy.
Mauro ZaffaroniMultiple Sclerosis Centre, ASST Valle Olona, Gallarate, Italy.
Alysha De LiveraNeuroepidemiology Unit, Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia.
George JelinekNeuroepidemiology Unit, Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia.
Alessandra SolariUnit of Neuroepidemiology, Fondazione IRRCS Istituto Neurologico Carlo Besta, Milan, Italy.
Rosalba RosatoDepartment of Psychology, University of Turin, Turin, Italy. rosalba.rosato@unito.it.ORCID http://orcid.org/0000-0002-4921-374X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMSQOL-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.

methodsA 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).

resultsThe 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).

conclusionsThe 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.

Indexed as

Quality of LifeBayes TheoremFactor Analysis, StatisticalHumansModels, StatisticalModels, TheoreticalMultiple SclerosisReproducibility of ResultsSurveys and QuestionnairesBifactor modelDimensionalityFactor analysesHealth-related quality of lifeMSQOL-54Multiple sclerosis

Identifiers

PMID34563229
PMCPMC8467164

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.