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Multicenter Study
. 2022 Feb;43(2):1007-1014.
doi: 10.1007/s10072-021-05389-7. Epub 2021 Jun 17.

Disability assessment using Google Maps

Luigi Lavorgna #  1 , Pietro Iaffaldano #  2 , Gianmarco Abbadessa  3 , Roberta Lanzillo  4 , Sabrina Esposito  5   6 , Domenico Ippolito  7 , Maddalena Sparaco  8 , Simone Cepparulo  8 , Giacomo Lus  3 , Rosa Viterbo  2 , Marinella Clerico  9 , Francesca Trojsi  10 , Paolo Ragonese  11 , Giovanna Borriello  12 , Elisabetta Signoriello  3 , Raffaele Palladino  13 , Marcello Moccia  4 , Francesco Brigo  14 , Maria Troiano  2 , Gioacchino Tedeschi  15 , Simona Bonavita  8
Affiliations
Multicenter Study

Disability assessment using Google Maps

Luigi Lavorgna et al. Neurol Sci. 2022 Feb.

Erratum in

  • Correction to: Disability assessment using Google Maps.
    Lavorgna L, Iaffaldano P, Abbadessa G, Lanzillo R, Esposito S, Ippolito D, Sparaco M, Cepparulo S, Lus G, Viterbo R, Clerico M, Trojsi F, Ragonese P, Borriello G, Signoriello E, Palladino R, Moccia M, Brigo F, Troiano M, Tedeschi G, Bonavita S. Lavorgna L, et al. Neurol Sci. 2022 Feb;43(2):1481. doi: 10.1007/s10072-021-05707-z. Neurol Sci. 2022. PMID: 34727256 Free PMC article. No abstract available.

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 and methods: 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: Ambulatory disorders; Digital health; Google Maps; e-Health.

PubMed Disclaimer

Conflict of interest statement

The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
General flowchart on Expanded Disability Status Scale (EDSS) results
See this image and copyright information in PMC

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