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Not yet recruitingNCT07066163SMART PDUpdated Jul 15, 2025

SMART-PD: Evaluating the Impact of Smartphone-Based Wearable Technology on Motor Symptoms and Quality of Life in People With Parkinson's Disease

An interventional study of Kinesia U and Standard of care treatment in Parkinson Disease, Idiopathic, sponsored by Western University. Not yet recruiting at 2 sites in Canada. Open to participants aged 40 Years and older. Per ClinicalTrials.gov, last updated 2025-07-15.

Sponsored by Western University · Not applicable, Interventional, and Diagnostic

Phase
Not applicable
Study type
Interventional
Enrollment
32
Allocation
Randomized
Ages
40 Years and older
Sex
All
01

Study summary

This study aims to evaluate whether wearable technology can improve the management of motor symptoms in people with Parkinson's disease (PD) who experience motor fluctuations throughout the day. The project will use a smartwatch and mobile app (KinesiaU) to continuously track movement, allowing for more responsive and personalized treatment compared to traditional monitoring methods.

In this pilot randomized controlled trial, 32 participants will be assigned to either:

A control group receiving standard care, or

A wearable device group receiving standard care plus using the smartwatch.

Outcomes will be assessed over a 4-week period, focusing on changes in motor function, quality of life, and self-management. The study will also examine feasibility, adherence, and data quality.

If successful, this trial will provide critical evidence for integrating wearable devices into routine clinical care for PD, paving the way for larger efficacy trials and more patient-centered care strategies.

Read the detailed description

Parkinson's disease (PD) is a common brain disorder that affects movement. It usually develops later in life and gradually worsens over time. People with Parkinson's may experience symptoms such as shaking (tremor), slow movement (bradykinesia), muscle stiffness, and problems with walking or balance. What makes Parkinson's especially challenging is that these symptoms can change throughout the day - a person may feel relatively well one moment and struggle to move just hours later.

Why is this a problem? This daily fluctuation in symptoms - known as motor fluctuations - makes it difficult for both patients and doctors to manage the disease. Traditional ways of monitoring symptoms, like keeping a diary or waiting until the next doctor's visit, don't always capture the full picture of what's happening. This can lead to treatment plans that don't match a person's actual needs.

What is the study about? We are exploring whether using wearable technology - in this case, a smartwatch and mobile app called KinesiaU - can help people with Parkinson's and their doctors better track and manage symptoms. The smartwatch measures movement throughout the day and sends data to a mobile app. This gives a more accurate and detailed view of how symptoms change over time, outside of the doctor's office.

Who is involved in the study?

The study will include 32 people living with Parkinson's disease who are experiencing motor fluctuations. They will be randomly divided into two groups:

Group 1: Standard Care Group - These participants will continue their regular care, which may include doctor visits, motor symptom diaries, and interviews with their care team.

Group 2: Wearable Device Group - These participants will also receive standard care plus use the KinesiaU smartwatch and app. They will wear the device at least five days a week, and the information it collects will be used by their doctors to make timely and personalized treatment decisions.

How will the study work?

Everyone in the study will be assessed at the beginning, then again at Week 2 and Week 4. During these check-ins,Investigators will measure:

Changes in movement symptoms using a standard clinical scale (MDS-UPDRS III)

Quality of life (using a questionnaire called PDQ-39)

How confident patients feel in managing their health (using a tool called PAM-13)

Investigators will also track whether people are willing and able to stick with the program, how often they wear the device, and whether the data collected is complete and usable.

Why is this study important? This is the first pilot study in our region to test this kind of wearable technology for people with Parkinson's. If it goes well, it will show that using a smartwatch is not only possible and helpful, but also something people are willing to do. The results will guide a larger study in the future and could help bring this kind of technology into routine clinical care.

The goal is to make Parkinson's care more personalized, data-driven, and responsive to real life. Investigators believe that by using innovative tools like smartwatches, we can give people living with Parkinson's more control over their health and improve their quality of life.

02

Conditions studied

  • Parkinson Disease, Idiopathic

Browse trials for

Keywords

  • parkinson
  • wearable
03

In context

Parkinson Disease

4,487 studies on the registry are indexed under Parkinson Disease; 1,082 are open to participants now.

This study's planned enrollment of 32 is below the median of 40 across 3,294 interventional studies indexed under Parkinson Disease.

Browse Parkinson Disease studies →

Lead sponsor

Western University is the lead sponsor of 14 studies on the registry; 10 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
40 Years and older
Sexes eligible
All
Accepts healthy volunteers
No

Inclusion criteria

  • Meet criteria for Parkinson's disease using MDS Clinical Diagnostic Criteria for Parkinson's Disease
  • Presence of Motor fluctuations based on movement disorder neurologist assessment.
  • Motor ability to use the wearable device and access the wearable device application.
  • Cognitively ability to do ADL's and use the wearable device and access the wearable device application based on clinician's judgment.
  • Knowledge of English to enter medication details in the wearable device application.

Exclusion criteria

Exclusion criteria:

  • Physical barriers in using the wearable device.
  • Atypical Parkinsonian disorder or other causes of Parkinsonism
  • Inability to read or write English.
05

Study design

Phase
Not applicable
Primary purpose
Diagnostic
Allocation
Randomized
Intervention model
Parallel assignment
Masking
Single (Outcomes assessor)
Enrollment
32 participants (estimated)

Study arms

  • Experimental
    Wearable device group (WDG):

    Participants who were randomized to the WDG will receive a smart watch and a mobile phone with KinesiaU application loaded. Participants will get hands on training on the first visit about how to use the smartwatch, how to enter medication details and access the reports on the phone. They will be instructed to wear the smartwatch for at least five out of seven days following the first visit.

    Device: Kinesia U

  • Other
    control group

    Participants in the control group will receive standard of care, consisting of regular management of their motor symptoms and monitoring using motor dairy, interview by their neurologist, family physician, and other healthcare providers. n.

    Other: Standard of care treatment

Interventions

  • DeviceKinesia U

    KinesiaU is a commercially available wearable technology, which includes a smart watch and a mobile application which can continuously monitor and quantify motor symptoms such as tremor, bradykinesia, dyskinesia, gait parameters throughout the day. The technology has been validated for motor symptoms and has high agreement with clinician ratings of motor severity. The motion sensor records data using KinesiaU smart watch and is then transmitted to a secure cloud database, where specialized algorithms analyze the information to detect motor symptoms and compute severity scores every 2 minutes. The results are then not only available to clinicians in the form of detailed reports for review but also for PwP in easily understandable format on the phone application . The validity of this device has been studied to assess tremor, bradykinesia and dyskinesia.

  • OtherStandard of care treatment

    Participants in the control group will receive standard of care, consisting of regular management of their motor symptoms and monitoring using motor dairy, interview by their neurologist, family physician, and other healthcare providers.

06

What researchers measure

Primary outcomes

  1. Recruitment rate

    Recruitment rate, defined as the number of participants recruited divided by the number of participants eligible, multiplied by 100. This will indicate how effectively the study was able to enroll suitable participants.

    Time frame: Through study completion, an average of 1 year".

  2. Retention Rate

    Retention rate calculated as the number of participants who complete the study divided by those recruited, and the dropout rate as the number of participan

    Time frame: Through study completion, around 1year

  3. Completion of Intervention:

    The proportion of participants adhering to the full intervention will be calculated

    Time frame: Through study completion, around 1year

Secondary outcomes

  1. MDS Unified Parkinson's Disease Rating Scale Part 3

    MDS UPDRS is a validated tool specifically used to assess motor severity in PwP. It measures a range of motor symptoms, including tremor, rigidity, bradykinesia, and postural instability, providing a comprehensive evaluation of motor impairment.

    Time frame: 4 weeks

Other outcomes

  1. Therapy Adjustments

    * Change in medication from baseline to week 4 to capture increase or decrease in dosage, change in medications, adding new medications * Change in advanced therapeutic interventions from baseline to week 4 to capture changes in deep brain stimulation parameters or referral for advanced therapies

    Time frame: 4 weeks

  2. Quality of life

    Change in Parkinson's Disease Questionnaire-39 (PDQ-39) score is a validated patient- reported outcome measure widely used in clinical trials and research to assess the quality of life in individuals with Parkinson's disease (PD). It evaluates the impact of PD on daily life across 8 domains and has 39 questions. Each item is scored on a 5-point Likert scale, where 0 = Never, 1 = Occasionally, 2 = Sometimes, 3 = Often, and 4 = Always. The scores for each domain are transformed into a scale of 0 to 100, with higher scores indicating worse health and quality of life.

    Time frame: 4 WEEKS

  3. Adverse events

    Adverse events realted to the use of the smart watch

    Time frame: 4 weeks

07

Study locations

2 sites
  • London Health Sciences Center.London ,Ontario
    London, Ontario N5X 1A4, Canada
  • London Health Sciences Center
    London, Ontario N6A 5A5, Canada
08

References and documents

Individual participant data

Plan to share: Undecided — As a small-scale feasibility study involving only 32 participants, the dataset may not be robust enough to support secondary analyses or generalizable conclusions. Sharing such limited data could risk misinterpretation or misuse.

No publications or documents are linked to this record.

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Jul 15, 2025, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT07066163
Lead sponsor
Western University
Collaborators
Academic Medical Organization of Southwestern Ontario
Responsible party
Deepa Dash (Assistant Professor, Western University) — Principal investigator
First posted
Jul 15, 2025
Start date
Jan 2026 (estimated)
Primary completion
Jan 2029 (estimated)
Completion
May 2029 (estimated)
Last update
Jul 15, 2025

Study contacts

deepa dash
Contact
deepa.dash@lhsc.on.ca
15196633187

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is not yet recruiting, as verified in Jul 2025. You cannot join it, but the record below documents what was studied.

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