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Erschienen in: Neurotherapeutics 4/2020

01.10.2020 | Review

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

verfasst von: Carlo Alberto Artusi, Gabriele Imbalzano, Andrea Sturchio, Andrea Pilotto, Elisa Montanaro, Alessandro Padovani, Leonardo Lopiano, Walter Maetzler, Alberto J. Espay

Erschienen in: Neurotherapeutics | Ausgabe 4/2020

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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.
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Literatur
1.
Zurück zum Zitat Artusi CA, Mishra M, Latimer P, et al. Integration of technology-based outcome measures in clinical trials of Parkinson and other neurodegenerative diseases. Parkinsonism Relat Disord 2018;46:S53-S56.CrossRef Artusi CA, Mishra M, Latimer P, et al. Integration of technology-based outcome measures in clinical trials of Parkinson and other neurodegenerative diseases. Parkinsonism Relat Disord 2018;46:S53-S56.CrossRef
2.
Zurück zum Zitat FitzGerald JJ, Lu Z, Jareonsettasin P, Antoniades CA. Quantifying Motor Impairment in Movement Disorders. Front Neurosci 2018;12:202.CrossRef FitzGerald JJ, Lu Z, Jareonsettasin P, Antoniades CA. Quantifying Motor Impairment in Movement Disorders. Front Neurosci 2018;12:202.CrossRef
3.
Zurück zum Zitat Jalloul N. Wearable sensors for the monitoring of movement disorders. Biom J 2018;41:249-253. Jalloul N. Wearable sensors for the monitoring of movement disorders. Biom J 2018;41:249-253.
4.
Zurück zum Zitat Merola A, Sturchio A, Hacker S, et al. Technology-based assessment of motor and nonmotor phenomena in Parkinson disease. Expert Rev Neurother 2018;18:825-845.CrossRef Merola A, Sturchio A, Hacker S, et al. Technology-based assessment of motor and nonmotor phenomena in Parkinson disease. Expert Rev Neurother 2018;18:825-845.CrossRef
5.
Zurück zum Zitat Espay AJ, Hausdorff JM, Sánchez-Ferro Á, et al. A roadmap for implementation of patient-centered digital outcome measures in Parkinson's disease obtained using mobile health technologies. Mov Disord 2019;34:657-663.CrossRef Espay AJ, Hausdorff JM, Sánchez-Ferro Á, et al. A roadmap for implementation of patient-centered digital outcome measures in Parkinson's disease obtained using mobile health technologies. Mov Disord 2019;34:657-663.CrossRef
6.
Zurück zum Zitat Espay AJ, Bonato P, Nahab FB, et al. Technology in Parkinson’s disease: Challenges and opportunities. Mov Disord 2016;31:1272-1282.CrossRef Espay AJ, Bonato P, Nahab FB, et al. Technology in Parkinson’s disease: Challenges and opportunities. Mov Disord 2016;31:1272-1282.CrossRef
7.
Zurück zum Zitat Lin PC, Chen KH, Yang BS, Chen YJ. A digital assessment system for evaluating kinetic tremor in essential tremor and Parkinson’s disease. BMC Neurol 2018;18:25.CrossRef Lin PC, Chen KH, Yang BS, Chen YJ. A digital assessment system for evaluating kinetic tremor in essential tremor and Parkinson’s disease. BMC Neurol 2018;18:25.CrossRef
8.
Zurück zum Zitat Mitsi G, Mendoza EU, Wissel BD, et al. Biometric Digital Health Technology for Measuring Motor Function in Parkinson’s Disease: Results from a Feasibility and Patient Satisfaction Study. Front Neurol 2017;8:273.CrossRef Mitsi G, Mendoza EU, Wissel BD, et al. Biometric Digital Health Technology for Measuring Motor Function in Parkinson’s Disease: Results from a Feasibility and Patient Satisfaction Study. Front Neurol 2017;8:273.CrossRef
9.
Zurück zum Zitat Lopane G, Mellone S, Corzani M, et al. Supervised versus unsupervised technology-based levodopa monitoring in Parkinson’s disease: an intrasubject comparison. J Neurol 2018;265:1343-1352.CrossRef Lopane G, Mellone S, Corzani M, et al. Supervised versus unsupervised technology-based levodopa monitoring in Parkinson’s disease: an intrasubject comparison. J Neurol 2018;265:1343-1352.CrossRef
10.
Zurück zum Zitat Pham MH, Warmerdam E, Elshehabi M, et al. Validation of a Lower Back “Wearable”-Based Sit-to-Stand and Stand-to-Sit Algorithm for Patients With Parkinson's Disease and Older Adults in a Home-Like Environment. Front Neurol 2018;9:652.CrossRef Pham MH, Warmerdam E, Elshehabi M, et al. Validation of a Lower Back “Wearable”-Based Sit-to-Stand and Stand-to-Sit Algorithm for Patients With Parkinson's Disease and Older Adults in a Home-Like Environment. Front Neurol 2018;9:652.CrossRef
11.
Zurück zum Zitat Ozinga SJ, Machado AG, Miller Koop M, Rosenfeldt AB, Alberts JL. Objective assessment of postural stability in Parkinson’s disease using mobile technology. Mov Disord 2015;30:1214-1221.CrossRef Ozinga SJ, Machado AG, Miller Koop M, Rosenfeldt AB, Alberts JL. Objective assessment of postural stability in Parkinson’s disease using mobile technology. Mov Disord 2015;30:1214-1221.CrossRef
12.
Zurück zum Zitat Zago M, Sforza C, Pacifici I, et al. Gait evaluation using inertial measurement units in subjects with Parkinson’s disease. J Electromyogr Kinesiol 2018;42:44-48.CrossRef Zago M, Sforza C, Pacifici I, et al. Gait evaluation using inertial measurement units in subjects with Parkinson’s disease. J Electromyogr Kinesiol 2018;42:44-48.CrossRef
13.
Zurück zum Zitat Weiss A, Herman T, Giladi N, Hausdorff JM. Objective assessment of fall risk in Parkinson’s disease using a body-fixed sensor worn for 3 days. PLoS One 2014;9:e96675.CrossRef Weiss A, Herman T, Giladi N, Hausdorff JM. Objective assessment of fall risk in Parkinson’s disease using a body-fixed sensor worn for 3 days. PLoS One 2014;9:e96675.CrossRef
14.
Zurück zum Zitat Ahlrichs C, Samà A, Lawo M, et al. Detecting freezing of gait with a tri-axial accelerometer in Parkinson’s disease patients. Med Biol Eng Comput 2016;54:223-233.CrossRef Ahlrichs C, Samà A, Lawo M, et al. Detecting freezing of gait with a tri-axial accelerometer in Parkinson’s disease patients. Med Biol Eng Comput 2016;54:223-233.CrossRef
15.
Zurück zum Zitat Popovic MB, Dzoljic E, Kostic V. A method to assess hand motor blocks in Parkinson’s disease with digitizing tablet. Tohoku J Exp Med 2008;216:317-324.CrossRef Popovic MB, Dzoljic E, Kostic V. A method to assess hand motor blocks in Parkinson’s disease with digitizing tablet. Tohoku J Exp Med 2008;216:317-324.CrossRef
16.
Zurück zum Zitat Heremans E, Nackaerts E, Broeder S, Vervoort G, Swinnen SP, Nieuwboer A. Handwriting Impairments in People With Parkinson’s Disease and Freezing of Gait. Neurorehabil Neural Repair 2016;30:911-919.CrossRef Heremans E, Nackaerts E, Broeder S, Vervoort G, Swinnen SP, Nieuwboer A. Handwriting Impairments in People With Parkinson’s Disease and Freezing of Gait. Neurorehabil Neural Repair 2016;30:911-919.CrossRef
17.
Zurück zum Zitat Pham MH, Elshehabi M, Haertner L, et al. Validation of a Step Detection Algorithm during Straight Walking and Turning in Patients with Parkinson’s Disease and Older Adults Using an Inertial Measurement Unit at the Lower Back. Front Neurol 2017;8:457.CrossRef Pham MH, Elshehabi M, Haertner L, et al. Validation of a Step Detection Algorithm during Straight Walking and Turning in Patients with Parkinson’s Disease and Older Adults Using an Inertial Measurement Unit at the Lower Back. Front Neurol 2017;8:457.CrossRef
18.
Zurück zum Zitat Lamont RM, Daniel HL, Payne CL, Brauer SG. Accuracy of wearable physical activity trackers in people with Parkinson’s disease. Gait Posture 2018;63:104-108.CrossRef Lamont RM, Daniel HL, Payne CL, Brauer SG. Accuracy of wearable physical activity trackers in people with Parkinson’s disease. Gait Posture 2018;63:104-108.CrossRef
19.
Zurück zum Zitat Bhidayasiri R, Sringean J, Taechalertpaisarn P, Thanawattano C. Capturing nighttime symptoms in Parkinson disease: Technical development and experimental verification of inertial sensors for nocturnal hypokinesia. J Rehabil Res Dev 2016;53:487-498.CrossRef Bhidayasiri R, Sringean J, Taechalertpaisarn P, Thanawattano C. Capturing nighttime symptoms in Parkinson disease: Technical development and experimental verification of inertial sensors for nocturnal hypokinesia. J Rehabil Res Dev 2016;53:487-498.CrossRef
20.
Zurück zum Zitat Lai B, Sasaki JE, Jeng B, Cederberg KL, Bamman MM, Motl RW. Accuracy and Precision of Three Consumer-Grade Motion Sensors During Overground and Treadmill Walking in People With Parkinson Disease: Cross-Sectional Comparative Study. JMIR Rehabil Assist Technol 2020;7:e14059.CrossRef Lai B, Sasaki JE, Jeng B, Cederberg KL, Bamman MM, Motl RW. Accuracy and Precision of Three Consumer-Grade Motion Sensors During Overground and Treadmill Walking in People With Parkinson Disease: Cross-Sectional Comparative Study. JMIR Rehabil Assist Technol 2020;7:e14059.CrossRef
21.
Zurück zum Zitat Del Din S, Galna B, Godfrey A, et al. Analysis of Free-Living Gait in Older Adults With and Without Parkinson’s Disease and With and Without a History of Falls: Identifying Generic and Disease-Specific Characteristics. J Gerontol A Biol Sci Med Sci 2019;74:500-506.CrossRef Del Din S, Galna B, Godfrey A, et al. Analysis of Free-Living Gait in Older Adults With and Without Parkinson’s Disease and With and Without a History of Falls: Identifying Generic and Disease-Specific Characteristics. J Gerontol A Biol Sci Med Sci 2019;74:500-506.CrossRef
22.
Zurück zum Zitat Warmerdam E, Hausdorff JM, Atrsaei A, et al. Long-term unsupervised mobility assessment in movement disorders. Lancet Neurol 2020 Warmerdam E, Hausdorff JM, Atrsaei A, et al. Long-term unsupervised mobility assessment in movement disorders. Lancet Neurol 2020
23.
Zurück zum Zitat Cerreta F; European Medicines Agency Geriatric Expert Group. New harmonized considerations on the evaluation instruments for baseline characterization of frailty in the European Union. Br J Clin Pharmacol 2019 Cerreta F; European Medicines Agency Geriatric Expert Group. New harmonized considerations on the evaluation instruments for baseline characterization of frailty in the European Union. Br J Clin Pharmacol 2019
24.
Zurück zum Zitat Hansen C, Sanchez-Ferro A, Maetzler W. How Mobile Health Technology and Electronic Health Records Will Change Care of Patients with Parkinson's Disease. J Parkinsons Dis 2018;8:S41-S45.CrossRef Hansen C, Sanchez-Ferro A, Maetzler W. How Mobile Health Technology and Electronic Health Records Will Change Care of Patients with Parkinson's Disease. J Parkinsons Dis 2018;8:S41-S45.CrossRef
25.
Zurück zum Zitat Koo BM, Vizer LM. Mobile Technology for Cognitive Assessment of Older Adults: A Scoping Review. Innov Aging 2019;3:igy038.CrossRef Koo BM, Vizer LM. Mobile Technology for Cognitive Assessment of Older Adults: A Scoping Review. Innov Aging 2019;3:igy038.CrossRef
26.
Zurück zum Zitat Fleming T, Bavin L, Lucassen M, Stasiak K, Hopkins S, Merry S. Beyond the Trial: Systematic Review of Real-World Uptake and Engagement With Digital Self-Help Interventions for Depression, Low Mood, or Anxiety. J Med Internet Res 2018;20:e199.CrossRef Fleming T, Bavin L, Lucassen M, Stasiak K, Hopkins S, Merry S. Beyond the Trial: Systematic Review of Real-World Uptake and Engagement With Digital Self-Help Interventions for Depression, Low Mood, or Anxiety. J Med Internet Res 2018;20:e199.CrossRef
27.
Zurück zum Zitat Seppälä J, De Vita I, Jämsä T, et al. Mobile Phone and Wearable Sensor-Based mHealth Approaches for Psychiatric Disorders and Symptoms: Systematic Review. JMIR Ment Health 2019;6:e9819.CrossRef Seppälä J, De Vita I, Jämsä T, et al. Mobile Phone and Wearable Sensor-Based mHealth Approaches for Psychiatric Disorders and Symptoms: Systematic Review. JMIR Ment Health 2019;6:e9819.CrossRef
28.
Zurück zum Zitat Frank L, Basch E, Selby JV; Patient-Centered Outcomes Res Insti. The PCORI perspective on patient-centered outcomes research. JAMA 2014;312:1513-1514.CrossRef Frank L, Basch E, Selby JV; Patient-Centered Outcomes Res Insti. The PCORI perspective on patient-centered outcomes research. JAMA 2014;312:1513-1514.CrossRef
29.
Zurück zum Zitat Geritz J, Maetzold S, Steffen M, et al. Motor, cognitive and mobility deficits in 1000 geriatric patients: protocol of a quantitative observational study before and after routine clinical geriatric treatment - the ComOn-study. BMC Geriatr 2020;20:45.CrossRef Geritz J, Maetzold S, Steffen M, et al. Motor, cognitive and mobility deficits in 1000 geriatric patients: protocol of a quantitative observational study before and after routine clinical geriatric treatment - the ComOn-study. BMC Geriatr 2020;20:45.CrossRef
30.
Zurück zum Zitat Erb MK, Karlin DR, Ho BK, et al. mHealth and wearable technology should replace motor diaries to track motor fluctuations in Parkinson's disease. NPJ Digit Med 2020;3:6.CrossRef Erb MK, Karlin DR, Ho BK, et al. mHealth and wearable technology should replace motor diaries to track motor fluctuations in Parkinson's disease. NPJ Digit Med 2020;3:6.CrossRef
31.
Zurück zum Zitat Coran P, Goldsack JC, Grandinetti CA, et al. Advancing the Use of Mobile Technologies in Clinical Trials: Recommendations from the Clinical Trials Transformation Initiative. Digit Biomark 2019;3:145-154.CrossRef Coran P, Goldsack JC, Grandinetti CA, et al. Advancing the Use of Mobile Technologies in Clinical Trials: Recommendations from the Clinical Trials Transformation Initiative. Digit Biomark 2019;3:145-154.CrossRef
32.
Zurück zum Zitat Matarazzo M, Arroyo-Gallego T, Montero P, et al. Remote Monitoring of Treatment Response in Parkinson's Disease: The Habit of Typing on a Computer. Mov Disord 2019;34:1488-1495.CrossRef Matarazzo M, Arroyo-Gallego T, Montero P, et al. Remote Monitoring of Treatment Response in Parkinson's Disease: The Habit of Typing on a Computer. Mov Disord 2019;34:1488-1495.CrossRef
Metadaten
Titel
Implementation of Mobile Health Technologies in Clinical Trials of Movement Disorders: Underutilized Potential
verfasst von
Carlo Alberto Artusi
Gabriele Imbalzano
Andrea Sturchio
Andrea Pilotto
Elisa Montanaro
Alessandro Padovani
Leonardo Lopiano
Walter Maetzler
Alberto J. Espay
Publikationsdatum
01.10.2020
Verlag
Springer International Publishing
Erschienen in
Neurotherapeutics / Ausgabe 4/2020
Print ISSN: 1933-7213
Elektronische ISSN: 1878-7479
DOI
https://doi.org/10.1007/s13311-020-00901-x

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