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Neurol Sci. 2021 Jun 17; doi: 10.1007/s10072-021-05389-7. Epub 2021 Jun 17.

Disability assessment using Google Maps.

Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology

Luigi Lavorgna, Pietro Iaffaldano, Gianmarco Abbadessa, Roberta Lanzillo, Sabrina Esposito, Domenico Ippolito, Maddalena Sparaco, Simone Cepparulo, Giacomo Lus, Rosa Viterbo, Marinella Clerico, Francesca Trojsi, Paolo Ragonese, Giovanna Borriello, Elisabetta Signoriello, Raffaele Palladino, Marcello Moccia, Francesco Brigo, Maria Troiano, Gioacchino Tedeschi, Simona Bonavita

Affiliations

  1. Italian Neurological Society (SIN), First Division of Neurology, Department of Advanced Medical and Surgical Sciences, AOU-University of Campania "Luigi Vanvitelli", Piazza Miraglia 2, 80138, Naples, Italy. [email protected].
  2. Department of Basic Medical Sciences, Neurosciences and Sense Organs, University of Bari "Aldo Moro", Piazza G. Cesare 11, 70124, Bari, Italy.
  3. Second Division of Neurology, Department of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Via Sergio Pansini 5, 80131, Naples, Italy.
  4. Multiple Sclerosis Clinical Care and Research Centre, Department of Neuroscience, Reproductive Science and Odontostomatology, Federico II University, Naples, Italy.
  5. Department of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Piazza Miraglia 2, 80138, Naples, Italy.
  6. Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy.
  7. First Division of Neurology, Department of Advanced Medical and Surgical Sciences, AOU-University of Campania "Luigi Vanvitelli", P.zza Miraglia 2, Naples, Italy.
  8. Second Division of Neurology, Department of Advanced Medical and Surgical Sciences, MRI Research Center SUN-FISM, AOU-University of Campania "Luigi Vanvitelli", via Sergio Pansini 5, 80131, Naples, Italy.
  9. Clinical and Biological Sciences Department, University of Torino, Turin, Italy.
  10. First Division of Neurology, Department of Advanced Medical and Surgical Sciences, AOU-University of Campania "Luigi Vanvitelli", P.zza Miraglia 2, 80138, Naples, Italy.
  11. Department of Experimental, Biomedicine and Clinical Neurosciences, University of Palermo, 90129, Palermo, Italy.
  12. S. Andrea Hospital, Sapienza Rome University, Rome, Italy.
  13. Federico II University, Naples, Italy.
  14. UOC di Neurologia, Ospedale Di Merano (SABES-ASDAA), Via Rossini, 5, 39012, Merano-Meran, BZ, Italy.
  15. First Division of Neurology, Department of Advanced Medical and Surgical Sciences, MRI Research Center SUN-FISM, AOU, University of Campania "Luigi Vanvitelli", Piazza Miraglia 2, 80138, Naples, Italy.

PMID: 34142263 PMCID: PMC8211455 DOI: 10.1007/s10072-021-05389-7

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.

© 2021. Fondazione Società Italiana di Neurologia.

Keywords: Ambulatory disorders; Digital health; Google Maps; e-Health

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