NCT06941779

Brief Summary

Parkinson's Disease (PD) is a major cause of disability, globally. PD affects a person's movement speed, fluency, quality, and ease of walking. PD has the fastest-growing incidence rate, with its prevalence expected to double over the next three decades, currently affecting 10 million people worldwide. PD often leads to disturbances in walking/gait characteristics such as abnormal/variable stride lengths and step times. Those disturbances increase the risk of falls, with about 39% of people with PD (PwPD) experiencing an average of 20.8 falls/year. Research has examined cueing by leveraging auditory, visual, and tactile cues to normalize variable gait characteristics and improve mobility to reduce falls. Auditory cueing is the most effective at improving gait and most practical to apply in all settings (via headphones) but one size does not fit all when using auditory cueing paradigms i.e., there is a need for personalised approaches to ensure cueing interventions are tailored to the individual and their specific functional limitations. Furthermore, the long-term effectiveness of auditory mechanisms (e.g., metronome-based repetitive beep) suffer from their lack of continuous engagement. This research project aims to examine personalised auditory cueing to improve gait in PwPD. Inertial sensors will capture and analyze validated gait-related characteristics and personalised auditory cues will be examined for their ability to correct variable gait. To reduce burden on PwPD (i.e., minimal number of wearable sensors) and to streamline data capture and deliver auditory cues, a single smartphone will be used only. The project involves a multidisciplinary study between Computing and Exercise and Rehabilitation at Northumbria University, testing cueing modalities in a controlled laboratory environment under trained researcher supervision. The study will enrol PwPD, focusing on the ability of personalised auditory cueing to improve gait and PwPD preference of auditory cues.

Trial Health

87
On Track

Trial Health Score

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

Enrollment
60

participants targeted

Target at P25-P50 for not_applicable

Timeline
Completed

Started Nov 2024

Geographic Reach
1 country

2 active sites

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

Study Start

First participant enrolled

November 21, 2024

Completed
4 months until next milestone

First Submitted

Initial submission to the registry

March 31, 2025

Completed
24 days until next milestone

First Posted

Study publicly available on registry

April 24, 2025

Completed
11 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

March 19, 2026

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

March 19, 2026

Completed
Last Updated

April 29, 2026

Status Verified

March 1, 2025

Enrollment Period

1.3 years

First QC Date

March 31, 2025

Last Update Submit

April 28, 2026

Conditions

Keywords

WearablesPersonalised cueingGait retraining

Outcome Measures

Primary Outcomes (4)

  • Gait speed (m/s)

    Average speed of walking in metres per second (m/s) during a 1 minute walk. Measured by the smartphone/IMU via gait-based algorithms located on the lower back.

    1 hour

  • Step length (m)

    Distance between consecutive steps measured in metres (m). Measured by the smartphone/IMU via gait-based algorithms located on the lower back.

    1 hour

  • Step time variability

    Coefficient of variation of step time (between consecutive steps). Derrived from the smartphone/IMU via gait-based algorithms located on the lower back. This outcome will determine variability between steps as a proxy for gait stability.

    1 hour

  • Cadence (steps/minute)

    Calculated as number of steps achieved in one minute (i.e., steps/minute). Derrived from the smartphone/IMU via gait-based algorithms located on the lower back to quantify steps during the 1-min walk.

    1 hour

Secondary Outcomes (8)

  • Montreal Cognitive Assessment (MoCA)

    15 mins

  • MDS-Unified Parkinson's Disease Rating Scale (MDS-UPDRS)

    40 mins

  • Physical Activity Questionnaire Short Form (IPAQ-SF)

    5 mins

  • Physical activity

    5 minutes

  • Falls history

    5 mins

  • +3 more secondary outcomes

Study Arms (1)

Cueing

EXPERIMENTAL
Device: Cueing

Interventions

CueingDEVICE

Inertial sensors (via a smartphone worn on the lower back) will capture and analyze validated gait-related characteristics (via a gold-standard inertial system worn on both feet). Personalised auditory cues (via smartphone) will be examined for their ability to correct variable gait. To reduce burden on participants (i.e., minimal number of wearable sensors) and to streamline data capture and deliver auditory cues, a single smartphone and a gold standard reference (2 inertial wearables on each foot) will only be used. All devices attached over clothes via belt attachments.

Cueing

Eligibility Criteria

Age50 Years - 85 Years
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • Able to walk unaided.
  • Diagnosis of idiopathic PD, as defined by the UK Brain Bank criteria.
  • Score ≥21/30 on Montreal Cognitive Assessment (MoCA) which is used to classify non-demented PD (PD dementia is \<21/30).

You may not qualify if:

  • Non-English speakers
  • History of stroke, traumatic brain injury or other neurological disorders (other than PD)
  • Acute lower back or lower extremity pain, peripheral neuropathy, and musculoskeletal disorders that would affect tasks.
  • Unstable medical condition including cardio-vascular instability in the past 6 months
  • Unable to comply with the testing protocol or currently participating in another interfering research project

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (2)

Northumbria University

Newcastle, United Kingdom

Location

North Tyneside General Hospital

North Shields, United Kingdom

Location

Related Publications (14)

  • Brooke J. SUS: a retrospective. Journal of usability studies. 2013;8: 29-40. https://dl.acm.org/doi/10.5555/2817912.2817913

    BACKGROUND
  • Yardley L, Beyer N, Hauer K, Kempen G, Piot-Ziegler C, Todd C. Development and initial validation of the Falls Efficacy Scale-International (FES-I). Age Ageing. 2005 Nov;34(6):614-9. doi: 10.1093/ageing/afi196.

    PMID: 16267188BACKGROUND
  • Voorrips LE, Ravelli AC, Dongelmans PC, Deurenberg P, Van Staveren WA. A physical activity questionnaire for the elderly. Med Sci Sports Exerc. 1991 Aug;23(8):974-9.

    PMID: 1956274BACKGROUND
  • Tolosa E, Garrido A, Scholz SW, Poewe W. Challenges in the diagnosis of Parkinson's disease. Lancet Neurol. 2021 May;20(5):385-397. doi: 10.1016/S1474-4422(21)00030-2.

    PMID: 33894193BACKGROUND
  • Sweeney D, Quinlan LR, Browne P, Richardson M, Meskell P, OLaighin G. A Technological Review of Wearable Cueing Devices Addressing Freezing of Gait in Parkinson's Disease. Sensors (Basel). 2019 Mar 13;19(6):1277. doi: 10.3390/s19061277.

    PMID: 30871253BACKGROUND
  • Rose D, Ott L, Guerin SMR, Annett LE, Lovatt P, Delevoye-Turrell YN. A general procedure to measure the pacing of body movements timed to music and metronome in younger and older adults. Sci Rep. 2021 Feb 5;11(1):3264. doi: 10.1038/s41598-021-82283-4.

    PMID: 33547366BACKGROUND
  • Nasreddine ZS, Phillips NA, Bedirian V, Charbonneau S, Whitehead V, Collin I, Cummings JL, Chertkow H. The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment. J Am Geriatr Soc. 2005 Apr;53(4):695-9. doi: 10.1111/j.1532-5415.2005.53221.x.

    PMID: 15817019BACKGROUND
  • Mullensiefen D, Gingras B, Musil J, Stewart L. The musicality of non-musicians: an index for assessing musical sophistication in the general population. PLoS One. 2014 Feb 26;9(2):e89642. doi: 10.1371/journal.pone.0089642. eCollection 2014.

    PMID: 24586929BACKGROUND
  • Movement Disorder Society Task Force on Rating Scales for Parkinson's Disease. The Unified Parkinson's Disease Rating Scale (UPDRS): status and recommendations. Mov Disord. 2003 Jul;18(7):738-50. doi: 10.1002/mds.10473.

    PMID: 12815652BACKGROUND
  • Fiorente N, Calabro RS. Music in Parkinson's Disease Rehabilitation: Are We Heading in the Right Direction? Innov Clin Neurosci. 2023 Spring;20(4-6):11-13.

    PMID: 37387705BACKGROUND
  • Dotov DG, Cochen de Cock V, Geny C, Ihalainen P, Moens B, Leman M, Bardy B, Dalla Bella S. The role of interaction and predictability in the spontaneous entrainment of movement. J Exp Psychol Gen. 2019 Jun;148(6):1041-1057. doi: 10.1037/xge0000609.

    PMID: 31180717BACKGROUND
  • GBD 2016 Parkinson's Disease Collaborators. Global, regional, and national burden of Parkinson's disease, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet Neurol. 2018 Nov;17(11):939-953. doi: 10.1016/S1474-4422(18)30295-3. Epub 2018 Oct 1.

    PMID: 30287051BACKGROUND
  • Allen NE, Schwarzel AK, Canning CG. Recurrent falls in Parkinson's disease: a systematic review. Parkinsons Dis. 2013;2013:906274. doi: 10.1155/2013/906274. Epub 2013 Mar 5.

    PMID: 23533953BACKGROUND
  • Wall C, McMeekin P, Hetherington V, Morris R, Vitorio R, Walker R, Godfrey A. Retraining gait in Parkinson's Disease via a personalised app: A study protocol. PLoS One. 2026 Apr 15;21(4):e0346508. doi: 10.1371/journal.pone.0346508. eCollection 2026.

Study Design

Study Type
interventional
Phase
not applicable
Allocation
NA
Masking
NONE
Purpose
SUPPORTIVE CARE
Intervention Model
SINGLE GROUP
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

March 31, 2025

First Posted

April 24, 2025

Study Start

November 21, 2024

Primary Completion

March 19, 2026

Study Completion

March 19, 2026

Last Updated

April 29, 2026

Record last verified: 2025-03

Locations