Literature DB >> 32734442

Implementation of Mobile Health Technologies in Clinical Trials of Movement Disorders: Underutilized Potential.

Carlo Alberto Artusi1, Gabriele Imbalzano1, Andrea Sturchio2, Andrea Pilotto3,4, Elisa Montanaro1, Alessandro Padovani3, Leonardo Lopiano1, Walter Maetzler5, Alberto J Espay6.   

Abstract

Mobile health technologies (mHealth) are patient-worn or portable devices aimed at increasing the granularity and relevance of clinical measurements. The implementation of mHealth has the potential to decrease sample size, duration, and cost of clinical trials. We performed a review of the ClinicalTrials.gov database using a standardized approach to identify adoption in and usefulness of mHealth in movement disorders interventional clinical trials. Trial phase, geographical area, availability of data captured, constructs of interest, and outcome priority were collected. Eligible trials underwent quality appraisal using an ad hoc 5-point checklist to assess mHealth feasibility, acceptability, correlation with patient-centered outcome measures, and clinical meaningfulness. A total of 29% (n = 54/184) registered trials were using mHealth, mainly in Parkinson's disease and essential tremor (59.3% and 27.8%). In most cases, mHealth were used in phase 2 trials (83.3%) as secondary outcome measures (59.3%). Only five phase 3 trials, representing 9.3% of the total, used mHealth (1 as primary outcome measure, 3 as secondary, and 1 as tertiary). Only 3.7% (n = 2/54) of all trials used mHealth for measuring both motor and non-motor symptoms, and 23.1% (n = 12/52) used mHealth for unsupervised, ecologic outcomes. Our findings suggest that mHealth remain underutilized and largely relegated to phase 2 trials for secondary or tertiary outcome measures. Efforts toward greater alignment of mHealth with patient-centered outcomes and development of a universal, common-language platform to synchronize data from one or more devices will assist future efforts toward the integration of mHealth into clinical trials.

Entities:  

Keywords:  Parkinson’s disease; Technology; mobile; movement disorders; outcome measure; tremor.

Year:  2020        PMID: 32734442     DOI: 10.1007/s13311-020-00901-x

Source DB:  PubMed          Journal:  Neurotherapeutics        ISSN: 1878-7479            Impact factor:   7.620


  5 in total

1.  Therapeutic Advances in Movement Disorders.

Authors:  Caroline M Tanner; Jill L Ostrem
Journal:  Neurotherapeutics       Date:  2021-01-15       Impact factor: 7.620

2.  Digital Phenotyping in Clinical Neurology.

Authors:  Anoopum S Gupta
Journal:  Semin Neurol       Date:  2022-01-11       Impact factor: 3.212

Review 3.  Digital Therapeutics in Parkinson's Disease: Practical Applications and Future Potential.

Authors:  Terry D Ellis; Gammon M Earhart
Journal:  J Parkinsons Dis       Date:  2021       Impact factor: 5.568

4.  Protocol for PD SENSORS: Parkinson's Disease Symptom Evaluation in a Naturalistic Setting producing Outcome measuRes using SPHERE technology. An observational feasibility study of multi-modal multi-sensor technology to measure symptoms and activities of daily living in Parkinson's disease.

Authors:  Catherine Morgan; Ian Craddock; Emma L Tonkin; Kirsi M Kinnunen; Roisin McNaney; Sam Whitehouse; Majid Mirmehdi; Farnoosh Heidarivincheh; Ryan McConville; Julia Carey; Alison Horne; Michal Rolinski; Lynn Rochester; Walter Maetzler; Helen Matthews; Oliver Watson; Rachel Eardley; Alan L Whone
Journal:  BMJ Open       Date:  2020-11-30       Impact factor: 2.692

5.  Acceptability of an In-home Multimodal Sensor Platform for Parkinson Disease: Nonrandomized Qualitative Study.

Authors:  Catherine Morgan; Emma L Tonkin; Ian Craddock; Alan L Whone
Journal:  JMIR Hum Factors       Date:  2022-07-07
  5 in total

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