Disability assessment using Google Maps.
Neurol Sci
; 43(2): 1007-1014, 2022 Feb.
Article
in English
| MEDLINE | ID: covidwho-1669827
ABSTRACT
OBJECTIVES:
To evaluate the concordance between Google Maps® application (GM®) and clinical practice measurements of ambulatory function (e.g., Ambulation Score (AS) and respective Expanded Disability Status Scale (EDSS)) in people with multiple sclerosis (pwMS). MATERIALS ANDMETHODS:
This is a cross-sectional multicenter study. AS and EDSS were calculated using GM® and routine clinical methods; the correspondence between the two methods was assessed. A multinomial logistic model is investigated which demographic (age, sex) and clinical features (e.g., disease subtype, fatigue, depression) might have influenced discrepancies between the two methods.RESULTS:
Two hundred forty-three pwMS were included; discrepancies in AS and in EDDS assessments between GM® and routine clinical methods were found in 81/243 (33.3%) and 74/243 (30.4%) pwMS, respectively. Progressive phenotype (odds ratio [OR] = 2.8; 95% confidence interval [CI] 1.1-7.11, p = 0.03), worse fatigue (OR = 1.03; 95% CI 1.01-1.06, p = 0.01), and more severe depression (OR = 1.1; 95% CI 1.04-1.17, p = 0.002) were associated with discrepancies between GM® and routine clinical scoring.CONCLUSION:
GM® could easily be used in a real-life clinical setting to calculate the AS and the related EDSS scores. GM® should be considered for validation in further clinical studies.Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Search Engine
/
Multiple Sclerosis
Type of study:
Diagnostic study
/
Experimental Studies
/
Observational study
/
Prognostic study
/
Randomized controlled trials
Limits:
Humans
Language:
English
Journal:
Neurol Sci
Journal subject:
Neurology
Year:
2022
Document Type:
Article
Affiliation country:
S10072-021-05389-7
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