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Parkinson's Disease Remote Patient Monitoring During the COVID-19 Lockdown.
Motolese, Francesco; Magliozzi, Alessandro; Puttini, Fiorella; Rossi, Mariagrazia; Capone, Fioravante; Karlinski, Keren; Stark-Inbar, Alit; Yekutieli, Ziv; Di Lazzaro, Vincenzo; Marano, Massimo.
  • Motolese F; Neurology, Neurophysiology and Neurobiology Unit, Department of Medicine, University Campus Bio-Medico of Rome, Rome, Italy.
  • Magliozzi A; Neurology, Neurophysiology and Neurobiology Unit, Department of Medicine, University Campus Bio-Medico of Rome, Rome, Italy.
  • Puttini F; Neurology, Neurophysiology and Neurobiology Unit, Department of Medicine, University Campus Bio-Medico of Rome, Rome, Italy.
  • Rossi M; Neurology, Neurophysiology and Neurobiology Unit, Department of Medicine, University Campus Bio-Medico of Rome, Rome, Italy.
  • Capone F; Neurology, Neurophysiology and Neurobiology Unit, Department of Medicine, University Campus Bio-Medico of Rome, Rome, Italy.
  • Karlinski K; Montfort Brain Monitor, Binyamina, Israel.
  • Stark-Inbar A; Montfort Brain Monitor, Binyamina, Israel.
  • Yekutieli Z; Montfort Brain Monitor, Binyamina, Israel.
  • Di Lazzaro V; Neurology, Neurophysiology and Neurobiology Unit, Department of Medicine, University Campus Bio-Medico of Rome, Rome, Italy.
  • Marano M; Neurology, Neurophysiology and Neurobiology Unit, Department of Medicine, University Campus Bio-Medico of Rome, Rome, Italy.
Front Neurol ; 11: 567413, 2020.
Article in English | MEDLINE | ID: covidwho-895311
ABSTRACT

Objective:

To evaluate the feasibility of a smartphone remote patient monitoring approach in a real-life Parkinson's disease (PD) cohort during the Italian COVID-19 lockdown.

Methods:

Fifty-four non-demented PD patients who were supposed to attend the outpatient March clinic were recruited for a prospective study. All patients had a known UPDRS-III and a modified Hoehn and Yahr (H&Y) score and were provided with a smartphone application capable of providing indicators of gait, tapping, tremor, memory and executive functions. Different questionnaires exploring non-motor symptoms and quality of life were administered through phone-calls. Patients were asked to run the app at least twice per week (i.e., full compliance). Subjects were phone-checked weekly throughout a 3-week period for compliance and final satisfaction questionnaires.

Results:

Forty-five patients (83.3%) ran the app at least once; Twenty-nine (53.7%) subjects were half-compliant, while 16 (29.6%) were fully compliant. Adherence was hindered by technical issues or digital illiteracy (38.7%), demotivation (24%) and health-related issues (7.4%). Ten patients (18.5%) underwent PD therapy changes. The main factors related to lack of compliance included loss of interest, sadness, anxiety, the absence of a caregiver, the presence of falls and higher H&Y. Gait, tapping, tremor and cognitive application outcomes were correlated to disease duration, UPDRS-III and H&Y.

Discussion:

The majority of patients were compliant and satisfied by the provided monitoring program. Some of the application outcomes were statistically correlated to clinical parameters, but further validation is required. Our pilot study suggested that the available technologies could be readily implemented even with the current population's technical and intellectual resources.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study Language: English Journal: Front Neurol Year: 2020 Document Type: Article Affiliation country: Fneur.2020.567413

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study Language: English Journal: Front Neurol Year: 2020 Document Type: Article Affiliation country: Fneur.2020.567413