Validation of the SymptoMScreen with performance-based or clinician-assessed outcomes.
Adult
Diagnosis, Computer-Assisted
/ methods
Female
Humans
Male
Middle Aged
Multiple Sclerosis
/ diagnosis
Outcome Assessment, Health Care
/ methods
Patient Outcome Assessment
Patient Reported Outcome Measures
Psychomotor Performance
/ physiology
Registries
Reproducibility of Results
Severity of Illness Index
Tertiary Care Centers
Walking Speed
/ physiology
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 2019
Apr 2019
Historique:
received:
03
10
2018
revised:
31
12
2018
accepted:
23
01
2019
pubmed:
29
1
2019
medline:
17
7
2019
entrez:
29
1
2019
Statut:
ppublish
Résumé
People with multiple sclerosis (MS) experience symptoms in multiple domains. High-quality patient-reported outcomes (PROs) that assess multiple domains can aid healthcare providers in assessing these symptoms and may support remote disease monitoring. The "SymptoMScreen" PRO correlates with other PROs in MS; however, whether the SymptoMScreen or its component domains are associated with performance-based or clinician-assessed outcomes is unknown. To validate SymptoMScreen and its domains against performance-based, clinician-assessed measures or other well-validated diagnostic tools. We recruited participants with MS from a large tertiary care center. At routine clinic visits participants completed the MS performance test (MSPT), which is an iPad-based application that objectively assesses walking speed, manual dexterity, processing speed, and low contrast letter acuity. Expanded Disability Status Scale (EDSS) scores were assessed in a subset. Participants also completed an online SymptoMScreen following clinic visits. We assessed criterion and construct validity by calculating Spearman rank correlations between the 12 SymptoMScreen domains and respective clinical outcomes. We evaluated test-retest reliability using intra-class correlation coefficients [ICC], and internal consistency reliability using Cronbach's alpha. The 102 participants were predominantly female (78%), of average age [standard deviation]: 47.6 [12.3] years, with an average disease duration: 13.1 [10.0] years); 60 participants completed the SymptoMScreen and EDSS. Composite SymptoMScreen scores were associated with EDSS (r = 0.71; 95% CI 0.54, 0.83). For individual domains, strong correlations were observed between mobility scores and walking speed (r = 0.63; 95% CI: 0.48, 0.75) and hand function scores with manual dexterity (r = 0.52; 95% CI: 0.36, 0.65). More moderate correlations were detected for the cognition domain with processing speed (r=-0.37; 95% CI: -0.53, -0.18) and for the visual function domain with low contrast letter acuity at 2.5% contrast (r=-0.33; 95% CI -0.54, -0.08). Both test-retest and internal consistency reliability measures for overall SymptoMScreen scores were high (ICC: 0.88; 95% CI: 0.80, 0.93; Cronbach's alpha: 0.93; 95% CI: 0.90, 96). The SymptoMScreen is practical outcome measure whose subscales may provide a valid assessment of corresponding performance-based and clinician-assessed measures among people with MS with mild-to-moderate disability.
Sections du résumé
BACKGROUND
BACKGROUND
People with multiple sclerosis (MS) experience symptoms in multiple domains. High-quality patient-reported outcomes (PROs) that assess multiple domains can aid healthcare providers in assessing these symptoms and may support remote disease monitoring. The "SymptoMScreen" PRO correlates with other PROs in MS; however, whether the SymptoMScreen or its component domains are associated with performance-based or clinician-assessed outcomes is unknown.
OBJECTIVES
OBJECTIVE
To validate SymptoMScreen and its domains against performance-based, clinician-assessed measures or other well-validated diagnostic tools.
METHODS
METHODS
We recruited participants with MS from a large tertiary care center. At routine clinic visits participants completed the MS performance test (MSPT), which is an iPad-based application that objectively assesses walking speed, manual dexterity, processing speed, and low contrast letter acuity. Expanded Disability Status Scale (EDSS) scores were assessed in a subset. Participants also completed an online SymptoMScreen following clinic visits. We assessed criterion and construct validity by calculating Spearman rank correlations between the 12 SymptoMScreen domains and respective clinical outcomes. We evaluated test-retest reliability using intra-class correlation coefficients [ICC], and internal consistency reliability using Cronbach's alpha.
RESULTS
RESULTS
The 102 participants were predominantly female (78%), of average age [standard deviation]: 47.6 [12.3] years, with an average disease duration: 13.1 [10.0] years); 60 participants completed the SymptoMScreen and EDSS. Composite SymptoMScreen scores were associated with EDSS (r = 0.71; 95% CI 0.54, 0.83). For individual domains, strong correlations were observed between mobility scores and walking speed (r = 0.63; 95% CI: 0.48, 0.75) and hand function scores with manual dexterity (r = 0.52; 95% CI: 0.36, 0.65). More moderate correlations were detected for the cognition domain with processing speed (r=-0.37; 95% CI: -0.53, -0.18) and for the visual function domain with low contrast letter acuity at 2.5% contrast (r=-0.33; 95% CI -0.54, -0.08). Both test-retest and internal consistency reliability measures for overall SymptoMScreen scores were high (ICC: 0.88; 95% CI: 0.80, 0.93; Cronbach's alpha: 0.93; 95% CI: 0.90, 96).
CONCLUSIONS
CONCLUSIONS
The SymptoMScreen is practical outcome measure whose subscales may provide a valid assessment of corresponding performance-based and clinician-assessed measures among people with MS with mild-to-moderate disability.
Identifiants
pubmed: 30690340
pii: S2211-0348(19)30037-9
doi: 10.1016/j.msard.2019.01.031
pii:
doi:
Types de publication
Journal Article
Observational Study
Validation Study
Langues
eng
Sous-ensembles de citation
IM
Pagination
86-93Informations de copyright
Copyright © 2019 Elsevier B.V. All rights reserved.