Development and psychometric properties of the Multiple Sclerosis Knowledge Assessment Scale: Rasch analysis of a novel tool for evaluating MS knowledge.
Multiple sclerosis
Rasch analysis
knowledge assessment
psychometric properties
Journal
Multiple sclerosis (Houndmills, Basingstoke, England)
ISSN: 1477-0970
Titre abrégé: Mult Scler
Pays: England
ID NLM: 9509185
Informations de publication
Date de publication:
04 2021
04 2021
Historique:
entrez:
19
3
2021
pubmed:
20
3
2021
medline:
25
9
2021
Statut:
ppublish
Résumé
Multiple sclerosis (MS)-related knowledge is an important evaluation metric for health education interventions. However, few MS knowledge assessment tools are currently available for use. This study aims to develop a reliable and valid Multiple Sclerosis Knowledge Assessment Scale (MSKAS) for use in the MS community and the general public. The MSKAS was developed using a Delphi study methodology and was administered to participants in the first open enrolment of the Understanding Multiple Sclerosis (UMS) online course. Rasch analysis was used to examine its psychometric properties and develop the final scale. Experts from across the MS community participated in the development of the MSKAS, resulting in an initial scale of 42 items. Five hundred and forty-three UMS participants completed the MSKAS; 89% were female and 30% were people with MS. The final unidimensional 22-item scale has a person separation index of 2.16, a person reliability index of 0.82, an item separation index of 11.19, and a Cronbach's alpha (kr-20) test reliability of 0.87. The MSKAS is a unidimensional scale with good construct validity and internal consistency. The MSKAS has the potential to be useful for the assessment of MS knowledge in research and clinical practice.
Sections du résumé
BACKGROUND
Multiple sclerosis (MS)-related knowledge is an important evaluation metric for health education interventions. However, few MS knowledge assessment tools are currently available for use.
OBJECTIVES
This study aims to develop a reliable and valid Multiple Sclerosis Knowledge Assessment Scale (MSKAS) for use in the MS community and the general public.
METHODS
The MSKAS was developed using a Delphi study methodology and was administered to participants in the first open enrolment of the Understanding Multiple Sclerosis (UMS) online course. Rasch analysis was used to examine its psychometric properties and develop the final scale.
RESULTS
Experts from across the MS community participated in the development of the MSKAS, resulting in an initial scale of 42 items. Five hundred and forty-three UMS participants completed the MSKAS; 89% were female and 30% were people with MS. The final unidimensional 22-item scale has a person separation index of 2.16, a person reliability index of 0.82, an item separation index of 11.19, and a Cronbach's alpha (kr-20) test reliability of 0.87.
CONCLUSION
The MSKAS is a unidimensional scale with good construct validity and internal consistency. The MSKAS has the potential to be useful for the assessment of MS knowledge in research and clinical practice.
Identifiants
pubmed: 33739199
doi: 10.1177/1352458520929626
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM