NCT02474329

Brief Summary

Background: Long-term management of Parkinson's disease (PD) does not reach its full potential due to lack of knowledge about disease progression. The Real-PD study aim to evaluate the feasibility and compliance of usage of wearable sensors in PD patients in real life. Moreover, an explorative analysis concerning activity level, medication intake and mood will be done. Methods: Overall, 1000 PD patients and 250 physiotherapist will be enrolled in this observational study. Dutch PD patients will be recruited across the country and an assessment will be performed using a short version of the Parkinson's Progression Markers Initiative (PPMI) protocol. Moreover, participants will wear a set of medical devices (Pebble Smartwatch, fall detector) and they will use a smartphone with The Fox Insight App (Android app), 24/7, during 13 weeks. Primary measures of interest are: 1) physical activity, falls and tremor, measured by the axial accelerometers embedded in the Pebble watch and fall detector; and 2) medication intake and mood reports measured by patients' self-report in the Android app. To measure motor impact, an assessment will be performed by physiotherapists who are all certified to perform the Movement Disorders Society Unified Parkinson's Disease Rating Scale (MDS-UPDRS). Discussion: Management of PD patients is complex and appears to be a challenging task for health care professionals. The main reason is the lack of knowledge in the disease pattern. This issue could be solved by a long term follow-up of patients' during their everyday life, and wearable medical devices can act as a way to collect data about every day life activities. Therefore, the Real-PD study will be a first contribution in increasing the lack of knowledge in disease progression, developing a new medical decision system and improving PD patients' care.

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
304

participants targeted

Target at P75+ for all trials

Timeline
Completed

Started Jul 2015

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

June 2, 2015

Completed
15 days until next milestone

First Posted

Study publicly available on registry

June 17, 2015

Completed
14 days until next milestone

Study Start

First participant enrolled

July 1, 2015

Completed
1.3 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

November 1, 2016

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

November 1, 2016

Completed
5.1 years until next milestone

Results Posted

Study results publicly available

December 6, 2021

Completed
Last Updated

December 6, 2021

Status Verified

October 1, 2017

Enrollment Period

1.3 years

First QC Date

June 2, 2015

Results QC Date

January 7, 2021

Last Update Submit

October 28, 2021

Conditions

Keywords

Parkinson's diseaseAmbulatory monitoringDisease progression

Outcome Measures

Primary Outcomes (4)

  • Parkinson's Disease Symptoms

    The MDS-UPDRS is a revision of the Unified Parkinson's Disease Rating Scale (UPDRS). It was developed to evaluate various aspects of Parkinson's disease including non-motor and motor experiences of daily living, as well as motor complications. The MDS-UPDRS characterizes the extent and burden of disease across various populations. Here, we used data from one-point assessment (baseline). The total score used here was calculated by a sum of all scores from the 4 sub-scales (i.e. part I, up to part IV) composing the MDS-UPDRS. Total score ranges from 0 to 272. A higher score indicates higher disease severity and burden, being thus a worse outcome.

    Baseline

  • Depression Scores as a Measure of Depression Rates

    The scores obtained with the Geriatric Depression Scale were analysed in order to create a percentage of probably depressed participants. The total score goes from 0 to 15. A score higher than 6 indicates higher probability of suffer from a depression.

    Baseline

  • Cognitive Impairment.

    Total sum score obtained with the Montreal Cognitive Assessment. We analyzed the full score to investigate percentage of participants with a possible cognitive impairment. The Montreal Cognitive sum scores ranges from 0 to 30, in which a score lower or equal to 26 is considered as possible cognitive decline.

    Baseline

  • Independency Level

    The total sum score obtained with the Schwab and England activities of daily living scale were analyzed to describe the functional level of the sample. The total sum scores varies from 0 to 100, in which lower scores are associated with more dependency of others to perform daily life activities.

    Baseline

Secondary Outcomes (7)

  • Number of Falls Per Patient Registered by the Falls Detector.

    Patients will be automatically assessed during the follow-up time (up to 13 weeks after the enrollment date), 24 hours a day, 7 days a week.

  • Number of Mood Reports for Each Patient Measured With a Four Point Scale

    Patients will be assessed during the follow-up time (up to 13 weeks after the enrollment date). It is expected that the assessment (self-report) will be performed as many times as the patient wants to report how they feel or at least once a day.

  • Number of Medication Intake Annotations Made by Each Participant Via the Self-report App.

    Baseline

  • Time That Each Patient Was Active During the Day

    Patients will be automatically assessed continuously during the follow-up time (up to 13 weeks after the enrollment date), 24 hours a day, 7 days a week. The analyses was limited to walking activities.

  • Level of Activity for Each Patient During the Day

    Patients will be automatically assessed during the follow-up time (up to 13 weeks after the enrollment date), 24 hours a day, 7 days a week.

  • +2 more secondary outcomes

Study Arms (5)

Cohort 1

Dutch Parkinson's patients resident in the region of Noord-Holland whose fulfill the eligibility criteria. Interventions/Exposures to be administered: 1. PPMI (Parkinson's Progression Markers Initiative) protocol Trained physiotherapists will perform once a standardized clinical assessment to every included patient. This assessment will last for 60 minutes, and it will be done once. 2. Fox Insight self-monitoring android app and falls detector Patients will wear a smartwatch and a pendant movement sensor during day and night, for a period of 13 weeks. Additionally, a self-monitoring App on a Smartphone is used, where the patient reports when (s)he takes any PD medication. An additional, optional button allows the patient to report general feeling.

Other: Clinical assessmentDevice: Fox Insight self-monitoring android app and falls detector

Cohort 2

Dutch Parkinson's patients resident in the region of Zuid-Holland whose fulfill the eligibility criteria. Interventions/Exposures to be administered: 1. PPMI (Parkinson's Progression Markers Initiative) protocol Trained physiotherapists will perform once a standardized clinical assessment to every included patient. This assessment will last for 60 minutes, and it will be done once. 2. Fox Insight self-monitoring android app and falls detector Patients will wear a smartwatch and a pendant movement sensor during day and night, for a period of 13 weeks. Additionally, a self-monitoring App on a Smartphone is used, where the patient reports when (s)he takes any PD medication. An additional, optional button allows the patient to report general feeling.

Other: Clinical assessmentDevice: Fox Insight self-monitoring android app and falls detector

Cohort 3

Dutch Parkinson's patients resident in the region of Gelderland and Utrecht whose fulfill the eligibility criteria. Interventions/Exposures to be administered: 1. PPMI (Parkinson's Progression Markers Initiative) protocol Trained physiotherapists will perform once a standardized clinical assessment to every included patient. This assessment will last for 60 minutes, and it will be done once. 2. Fox Insight self-monitoring android app and falls detector Patients will wear a smartwatch and a pendant movement sensor during day and night, for a period of 13 weeks. Additionally, a self-monitoring App on a Smartphone is used, where the patient reports when (s)he takes any PD medication. An additional, optional button allows the patient to report general feeling.

Other: Clinical assessmentDevice: Fox Insight self-monitoring android app and falls detector

Cohort 4

Dutch Parkinson's patients resident in the region of Groningen, Friesland, Drenthe and Overijssel whose fulfill the eligibility criteria. Interventions/Exposures to be administered: 1. PPMI (Parkinson's Progression Markers Initiative) protocol Trained physiotherapists will perform once a standardized clinical assessment to every included patient. This assessment will last for 60 minutes, and it will be done once. 2. Fox Insight self-monitoring android app and falls detector Patients will wear a smartwatch and a pendant movement sensor during day and night, for a period of 13 weeks. Additionally, a self-monitoring App on a Smartphone is used, where the patient reports when (s)he takes any PD medication. An additional, optional button allows the patient to report general feeling.

Other: Clinical assessmentDevice: Fox Insight self-monitoring android app and falls detector

Cohort 5

Dutch Parkinson's patients resident in the region of Zeeland, Noord-Brabant and Limburg whose fulfill the eligibility criteria. Interventions/Exposures to be administered: 1. PPMI (Parkinson's Progression Markers Initiative) protocol Trained physiotherapists will perform once a standardized clinical assessment to every included patient. This assessment will last for 60 minutes, and it will be done once. 2. Fox Insight self-monitoring android app and falls detector Patients will wear a smartwatch and a pendant movement sensor during day and night, for a period of 13 weeks. Additionally, a self-monitoring App on a Smartphone is used, where the patient reports when (s)he takes any PD medication. An additional, optional button allows the patient to report general feeling.

Other: Clinical assessmentDevice: Fox Insight self-monitoring android app and falls detector

Interventions

During the 13 week follow-up, trained physiotherapists will perform a standardized clinical assessment, based on the PPMI protocol (www.ppmi-info.org) for every included patient. This assessment will last for 60 minutes, and it will be done once.

Also known as: PPMI (Parkinson's Progression Markers Initiative) protocol
Cohort 1Cohort 2Cohort 3Cohort 4Cohort 5

Patients will be asked to wear a smartwatch and a pendant movement sensor, both with triaxial accelerometers, during day and night, for a period of 13 weeks. Additionally, a self-monitoring App on a Smartphone is used, where the patient reports when (s)he takes any PD medication. An additional, optional button allows the patient to report general feeling.

Also known as: Pebble smartphone, Philips falls detector
Cohort 1Cohort 2Cohort 3Cohort 4Cohort 5

Eligibility Criteria

Age30 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

Dutch Parkinson patients.

You may qualify if:

  • Currently own and use a smartphone device with access to the Internet
  • years of age or older;
  • Diagnosed with Parkinson's disease by a physician;
  • Able to walk without any assistance.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Cohort 1

Multiple Locations, North Holland, Netherlands

Location

Related Publications (13)

  • Parkka J, Ermes M, Korpipaa P, Mantyjarvi J, Peltola J, Korhonen I. Activity classification using realistic data from wearable sensors. IEEE Trans Inf Technol Biomed. 2006 Jan;10(1):119-28. doi: 10.1109/titb.2005.856863.

    PMID: 16445257BACKGROUND
  • Hobert MA, Maetzler W, Aminian K, Chiari L. Technical and clinical view on ambulatory assessment in Parkinson's disease. Acta Neurol Scand. 2014 Sep;130(3):139-47. doi: 10.1111/ane.12248. Epub 2014 Apr 1.

    PMID: 24689772BACKGROUND
  • Maetzler W, Domingos J, Srulijes K, Ferreira JJ, Bloem BR. Quantitative wearable sensors for objective assessment of Parkinson's disease. Mov Disord. 2013 Oct;28(12):1628-37. doi: 10.1002/mds.25628. Epub 2013 Sep 12.

    PMID: 24030855BACKGROUND
  • Patel S, Lorincz K, Hughes R, Huggins N, Growdon J, Standaert D, Akay M, Dy J, Welsh M, Bonato P. Monitoring motor fluctuations in patients with Parkinson's disease using wearable sensors. IEEE Trans Inf Technol Biomed. 2009 Nov;13(6):864-73. doi: 10.1109/TITB.2009.2033471. Epub 2009 Oct 20.

    PMID: 19846382BACKGROUND
  • Patel S, Chen BR, Mancinelli C, Paganoni S, Shih L, Welsh M, Dy J, Bonato P. Longitudinal monitoring of patients with Parkinson's disease via wearable sensor technology in the home setting. Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:1552-5. doi: 10.1109/IEMBS.2011.6090452.

    PMID: 22254617BACKGROUND
  • Tsanas A, Little MA, McSharry PE, Ramig L. Using the cellular mobile telephone network to remotely monitor parkinsons disease symptom severity. IEEE Transactions on Biomedical Engineering. 2012.

    BACKGROUND
  • Arora S, Venkataraman V, Donohue S, Biglan KM, Dorsey ER, Little MA, editors. High accuracy discrimination of Parkinson's disease participants from healthy controls using smartphones. Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on; 2014: IEEE.

    BACKGROUND
  • Pastorino M, Arredondo M, Cancela J, Guillen S, editors. Wearable sensor network for health monitoring: the case of Parkinson disease. Journal of Physics: Conference Series; 2013: IOP Publishing.

    BACKGROUND
  • Sharma V, Mankodiya K, De La Torre F, Zhang A, Ryan N, Ton TG, et al. SPARK: Personalized Parkinson Disease Interventions through Synergy between a Smartphone and a Smartwatch. Design, User Experience, and Usability User Experience Design for Everyday Life Applications and Services: Springer; 2014. p. 103-14.

    BACKGROUND
  • Tzallas AT, Tsipouras MG, Rigas G, Tsalikakis DG, Karvounis EC, Chondrogiorgi M, Psomadellis F, Cancela J, Pastorino M, Waldmeyer MT, Konitsiotis S, Fotiadis DI. PERFORM: a system for monitoring, assessment and management of patients with Parkinson's disease. Sensors (Basel). 2014 Nov 11;14(11):21329-57. doi: 10.3390/s141121329.

    PMID: 25393786BACKGROUND
  • Lakshminarayana R, Wang D, Burn D, Chaudhuri KR, Cummins G, Galtrey C, Hellman B, Pal S, Stamford J, Steiger M, Williams A; SMART-PD Investigators. Smartphone- and internet-assisted self-management and adherence tools to manage Parkinson's disease (SMART-PD): study protocol for a randomised controlled trial (v7; 15 August 2014). Trials. 2014 Sep 25;15:374. doi: 10.1186/1745-6215-15-374.

    PMID: 25257518BACKGROUND
  • Gschwind YJ, Eichberg S, Marston HR, Ejupi A, Rosario Hd, Kroll M, Drobics M, Annegarn J, Wieching R, Lord SR, Aal K, Delbaere K. ICT-based system to predict and prevent falls (iStoppFalls): study protocol for an international multicenter randomized controlled trial. BMC Geriatr. 2014 Aug 20;14:91. doi: 10.1186/1471-2318-14-91.

    PMID: 25141850BACKGROUND
  • Silva de Lima AL, Hahn T, de Vries NM, Cohen E, Bataille L, Little MA, Baldus H, Bloem BR, Faber MJ. Large-Scale Wearable Sensor Deployment in Parkinson's Patients: The Parkinson@Home Study Protocol. JMIR Res Protoc. 2016 Aug 26;5(3):e172. doi: 10.2196/resprot.5990.

MeSH Terms

Conditions

Parkinson DiseaseDisease Progression

Interventions

Clinical Protocols

Condition Hierarchy (Ancestors)

Parkinsonian DisordersBasal Ganglia DiseasesBrain DiseasesCentral Nervous System DiseasesNervous System DiseasesMovement DisordersSynucleinopathiesNeurodegenerative DiseasesDisease AttributesPathologic ProcessesPathological Conditions, Signs and Symptoms

Intervention Hierarchy (Ancestors)

TherapeuticsEpidemiologic Study CharacteristicsHealth Care Evaluation MechanismsQuality of Health CareHealth Care Quality, Access, and Evaluation

Results Point of Contact

Title
Marjan Meinders
Organization
Radboudumc

Study Officials

  • Bastiaan R Bloem, Prof. Dr.

    Radboud University Medical Center

    PRINCIPAL INVESTIGATOR

Publication Agreements

PI is Sponsor Employee
Yes

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Target Duration
13 Weeks
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

June 2, 2015

First Posted

June 17, 2015

Study Start

July 1, 2015

Primary Completion

November 1, 2016

Study Completion

November 1, 2016

Last Updated

December 6, 2021

Results First Posted

December 6, 2021

Record last verified: 2017-10

Locations