Smart Wearable Device (gaitQ): Walk Better Project
Smart Wearable Device (gaitQ) That Helps People With Long-term Conditions Affecting Movement: Walk Better
1 other identifier
observational
150
1 country
1
Brief Summary
This study will be underpinned by the new MRC guidelines for developing a complex intervention with a participatory design methodology that uses evidence-based research and behaviour change models alongside COSMIN methodology for validating a measure. Research question: To what extent does gaitQ's smart cueing system improve people with long-term conditions including people with Parkinson's (PwP's) gait? Is it effective in the everyday environment? What factors are associated with good mobility? What is the impact of cueing on healthy people? Aims and objectives: To finalise the product development and evaluation comprising (1) algorithm refinement and (2) monitoring system development. To evaluate the reliability, concurrent validity, and potential for efficacy, as determined by responsiveness in response to the gaitQ product using gait data collected in laboratory environments. To prepare for market entry and NHS adoption: early economic modelling, pricing, marketing strategies, and early adopter partnerships. Design: Participatory design with testing for validity, reliability and responsiveness Participants: This will involve healthy people and people with long-term conditions affecting their movement, including people with Parkinson's \[PwP\]. Additional patient groups will be investigated, including stroke, and people with hip/knee injuries. Methods The Researchers will collect movement data using the gaitQ system, which monitors and cues, to both collect data and cue in the lab environment and investigate the reliability of the measure, concurrent validity of the metric to gold standard gait capture, the responsiveness of measures to the cueing system and usability for participants and clinical teams. To determine reliability, 60 participants will be invited to repeat testing on a second visit. Researchers will describe participants' conditions using standard questionnaires and their mobility and functioning. This study will be underpinned by the new MRC guidelines for developing a complex intervention with a participatory design methodology that uses evidence-based research and behaviour change models to identify intrinsic and extrinsic factors that contribute to a given outcome in a specific population.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for all trials
Started Sep 2023
Typical duration for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
June 12, 2023
CompletedFirst Posted
Study publicly available on registry
June 22, 2023
CompletedStudy Start
First participant enrolled
September 15, 2023
CompletedPrimary Completion
Last participant's last visit for primary outcome
February 28, 2026
CompletedStudy Completion
Last participant's last visit for all outcomes
February 28, 2026
CompletedDecember 15, 2025
December 1, 2025
2.5 years
June 12, 2023
December 12, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (9)
Freezing and festinating events
The number of freezing and festinating events during the following tasks performed with and without the gaitQ device (condition order will be randomised) will be recorded: 1. 10-meter walk 2. Timed Up and Go 3. 1-minute walk 4. Walking with increasing physical and cognitive distractions.
Day 1 (& Day 2 for the reliability arm n= 60)
Step length
Step length (meters) will be measured during gait tasks performed with and without the gaitQ device.
Day 1 (& Day 2 for the reliability arm n= 60)
Step rate
Step rate (steps per minute) will be measured during gait tasks performed with and without the gaitQ device.
Day 1 (& Day 2 for the reliability arm n= 60)
Step length symmetry index
Step length symmetry index will be calculated using the following equation: \[((R - L)/0.5 × (R + L)) × 100\], where R: right leg, L: left leg
Day 1 (& Day 2 for the reliability arm n= 60)
Walking speed
Walking speed (meters per second) will be measured during the gait activities with and without the gaitQ device.
Day 1 (& Day 2 for the reliability arm n= 60)
Acceptability of the gaitQ device
Acceptability of the gaitQ device will be assessed with questionnaires and completion \>70% of the planned sessions.
Day 1 (& Day 2 for the reliability arm n= 60)
Safety of the gaitQ device
Safety of the gaitQ device will be assessed by recording the adverse events (expected and unexpected).
Day 1 (& Day 2 for the reliability arm n= 60)
Usability of the gaitQ device
Usability of the gaitQ device will be assessed through successful establishment of a system usability scale target \>68 and through the number of therapy support sessions required.
Day 1 (& Day 2 for the reliability arm n= 60)
Timed Up and Go
The time (seconds) to complete the Timed Up and Go task will be recorded.
Day 1 (& Day 2 for the reliability arm n= 60)
Study Arms (2)
Participants with long-term conditions affecting movement
A total number of 120 people with long-term conditions affecting their movement include people with Parkinson's (N=60), stroke (N=30), those living with arthritis (N=30).
Healthy control
A total number of 30 healthy people with no condition impacting their movement and walking ability.
Eligibility Criteria
The study population for the research will include individuals with long-term conditions affecting movement (such as Parkinson's disease, stroke, multiple sclerosis, arthritis, or osteoporosis), healthy controls, and individuals with hip and knee replacements. The inclusion criteria for people with long-term conditions require participants to have a diagnosis of the specified conditions, self-report gait issues, be able to walk unsupported or with aid for at least 3 minutes, and meet certain vision and cognitive assessment criteria. The age requirement is 18 years or older. Participants should not have any physical or mental conditions affecting their ability to safely participate or understand the study, including cognitive impairment or balance-affecting disorders.
You may qualify if:
- Participants with long-term conditions affecting movement
- Diagnosis of idiopathic Parkinson's disease (UK Brain Bank Criteria) or other appropriate condition-specific scales \[stroke, multiple sclerosis, arthritis or osteoporosis\]
- Able to self-report history of daily gait freezing and/or festination for people with PD or gait affected by condition
- Able to walk unsupported or using an aid for at least 3 minutes and satisfactory completion of the Canadian PARQ and if over 69 used to carry out this level of exercise
- Adult (+18 years old)
- Normal or corrected-to-normal vision (Snellen Visual Acuity \> 12/18) or safe to mobilise with support
- Montreal Cognitive assessment score \>21 or ability to follow 2-stage commands
- Healthy participants
- With no long-term conditions affecting movement
- Able to walk unsupported or using an aid for at least 3 minutes and satisfactory completion of the Canadian PARQ and if over 69 used to carrying out this level of exercise
- Adult (+18 years old)
- Normal or corrected-to-normal vision (Snellen Visual Acuity \> 12/18) or safe to mobilise with support
You may not qualify if:
- Participants with long-term conditions affecting movement
- Any physical or mental condition affecting the ability to safely participate in this level of activity and capacity to understand testing as demonstrated by ability to safely follow commands and pass the PARQ by the research team.
- Cognitive impairment affecting the ability to safely participate and follow instructions
- Any injury or disorder that may affect balance (other than Parkinson's or referring primary condition)
- Any skin conditions or broken skin in the calf and behind the knee area
- Deep brain stimulation or pacemaker implants or other implants that may interfere with the measurement system
- Healthy participants
- Any physical or mental condition affecting the ability to safely participate in this level of activity and capacity to understand testing as demonstrated by the ability to safely follow commands and pass the PARQ by the research team.
- Cognitive impairment affecting the ability to safely participate and follow instructions
- Any injury or disorder that may affect balance (other than Parkinson's or referring primary condition)
- Any skin conditions or broken skin in the calf and behind the knee area
- Deep brain stimulation or pacemaker implants or other implants that may interfere with the measurement system
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- University of Exeterlead
- GaitQ companycollaborator
Study Sites (1)
University of Exeter
Exeter, EX1 2LU, United Kingdom
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Helen Dawes
Professor of Clinical Rehabilitations
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- CASE CROSSOVER
- Time Perspective
- CROSS SECTIONAL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
June 12, 2023
First Posted
June 22, 2023
Study Start
September 15, 2023
Primary Completion
February 28, 2026
Study Completion
February 28, 2026
Last Updated
December 15, 2025
Record last verified: 2025-12
Data Sharing
- IPD Sharing
- Will not share
The research team will have access to the final dataset. Summary statistics from the study will be made available to other parties upon request and consideration by the research team. only named researchers in the study may access any person-identifiable data. The final study dataset that are analysed, anonymised research data will be open access and stored in a data repository. The data custodian will have access and manage the repository. Digital data are best preserved and published in a data repository. A repository is an online database service that archives and manages the long-term storage of digital resources. The University of Exeter has an institutional repository, Open Research Exeter (ORE), where research data can be securely preserved for the long-term. Data deposited into ORE are highly discoverable and will be actively curated, which may involve changing the format of the data to ensure long-term accessibility and re-usability.