Mental symptoms in MS (MeSyMS): Development and validation of a new assessment.
Mental health
Multiple sclerosis
Patient-centered care
Patient-reported outcomes
Journal
Multiple sclerosis and related disorders
ISSN: 2211-0356
Titre abrégé: Mult Scler Relat Disord
Pays: Netherlands
ID NLM: 101580247
Informations de publication
Date de publication:
Apr 2021
Apr 2021
Historique:
received:
11
10
2020
revised:
12
12
2020
accepted:
05
01
2021
pubmed:
1
2
2021
medline:
15
5
2021
entrez:
31
1
2021
Statut:
ppublish
Résumé
Patients with Multiple Sclerosis (MS) have an increased risk of suffering from mental and neuropsychiatric symptoms. So far, a fundamental problem in the clinical care of MS patients is that these symptoms are underdiagnosed and, as a consequence, often remain untreated. Present assessment tools have not been developed to be applied in patients with MS. This study aims to develop and validate a new questionnaire to identify disease-related mental symptoms in MS patients. A questionnaire has been developed by including the following subscales: social and emotional health problems, anxiety, and depression. To evaluate test quality and internal consistency, an item analysis has been conducted. After matching MS patients and control subjects on age and gender, we conducted group comparisons, a Receiver Operating Characteristic (ROC) Curve analysis and a binary logistic regression model. In total, 314 MS patients and 100 matched control subjects were analysed. After performed item analysis, the questionnaire revealed an excellent internal consistency (α=0.94). Compared to control subjects, MS patients showed significant mental health problems in all three dimensions. In comparison to the subscales, the dimension of social and emotional health problems revealed the highest accuracy (AUC = 0.75; d = 0.948) and turned out to be the only scale that reliably differentiated between the groups. MeSyMS constitutes a valid screening instrument to detect mental symptoms in MS. Social and emotional health problems turned out to be the most important aspect when identifying disease-related mental health symptoms in MS.
Sections du résumé
BACKGROUND
BACKGROUND
Patients with Multiple Sclerosis (MS) have an increased risk of suffering from mental and neuropsychiatric symptoms. So far, a fundamental problem in the clinical care of MS patients is that these symptoms are underdiagnosed and, as a consequence, often remain untreated. Present assessment tools have not been developed to be applied in patients with MS. This study aims to develop and validate a new questionnaire to identify disease-related mental symptoms in MS patients.
METHODS
METHODS
A questionnaire has been developed by including the following subscales: social and emotional health problems, anxiety, and depression. To evaluate test quality and internal consistency, an item analysis has been conducted. After matching MS patients and control subjects on age and gender, we conducted group comparisons, a Receiver Operating Characteristic (ROC) Curve analysis and a binary logistic regression model.
RESULTS
RESULTS
In total, 314 MS patients and 100 matched control subjects were analysed. After performed item analysis, the questionnaire revealed an excellent internal consistency (α=0.94). Compared to control subjects, MS patients showed significant mental health problems in all three dimensions. In comparison to the subscales, the dimension of social and emotional health problems revealed the highest accuracy (AUC = 0.75; d = 0.948) and turned out to be the only scale that reliably differentiated between the groups.
CONCLUSIONS
CONCLUSIONS
MeSyMS constitutes a valid screening instrument to detect mental symptoms in MS. Social and emotional health problems turned out to be the most important aspect when identifying disease-related mental health symptoms in MS.
Identifiants
pubmed: 33517174
pii: S2211-0348(21)00010-9
doi: 10.1016/j.msard.2021.102744
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
102744Informations de copyright
Copyright © 2021. Published by Elsevier B.V.