NCT05139173

Brief Summary

Physical therapy is essential for the successful rehabilitation of common shoulder injuries and following shoulder surgery. Patients may receive some training and supervision for shoulder physiotherapy through private pay or private insurance, but they are typically responsible for performing most of their physiotherapy independently at home. It is unknown how often patients perform their home exercises, if these exercises are done correctly without supervision, and how poor adherence might impact recovery. The investigators have recently developed a Smart Physiotherapy Activity Recognition System (SPARS) for tracking home shoulder physiotherapy exercises using sensors in a commercial smart watch and artificial intelligence (AI). SPARS was successful in identifying shoulder exercises in healthy adults in the laboratory setting, and in patients undergoing physiotherapy for rotator cuff pathology. Further inquiry is required to establish the clinical effectiveness of this technology for tracking and improving patient engagement, and to investigate the potential individual impacts of its use.

Trial Health

87
On Track

Trial Health Score

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

Enrollment
25

participants targeted

Target at below P25 for not_applicable

Timeline
Completed

Started Jan 2022

Typical duration for not_applicable

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

November 15, 2021

Completed
16 days until next milestone

First Posted

Study publicly available on registry

December 1, 2021

Completed
2 months until next milestone

Study Start

First participant enrolled

January 17, 2022

Completed
2.7 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

October 8, 2024

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

October 8, 2024

Completed
Last Updated

August 11, 2025

Status Verified

July 1, 2024

Enrollment Period

2.7 years

First QC Date

November 15, 2021

Last Update Submit

August 5, 2025

Conditions

Keywords

RehabilitationArtificial IntelligenceWearable Electronic DevicesAdherencePhysiotherapyRotator Cuff Pathology

Outcome Measures

Primary Outcomes (1)

  • Physiotherapy participation (Minutes weekly physiotherapy)

    Investigators will recruit up to 30 patients with rotator cuff pathology. Watch will begin recording inertial sensor data when it is put on by a patient during supervised and home physiotherapy exercises and the exercise is started on the tablet, and will stop recording when it is removed and the exercise is stopped on the tablet. Inertial data will be analyzed to generate quantitative measures of at-home physiotherapy participation in comparison to each patient's current physiotherapy prescription. Participation will be measured in minutes of weekly physiotherapy participation. Participation measurement will be compared to historical controls to detect statistically significant differences resulting from the use of apps by patients and their physiotherapists.

    Up to 3-5 months

Secondary Outcomes (6)

  • Work status

    Up to 1 year

  • Numeric Pain Rating Scale (NPRS)

    Up to 1 year

  • The Disabilities of the Arm, Shoulder and Hand (DASH) Score

    Up to 1 year

  • The American Shoulder and Elbow Society (ASES) Score

    Up to 1 year

  • Strength testing

    Up to 12 weeks

  • +1 more secondary outcomes

Study Arms (2)

Experimental: Injured Worker Population

EXPERIMENTAL

Participants that have a confirmed rotator cuff pathology, and are undergoing physiotherapy at the Holland Centre for a work-related shoulder injury as part of the Working Condition Program.

Device: Smart Physiotherapy Activity Recognition System (SPARS)

Active Comparator: OHIP (funded) Patient Population

ACTIVE COMPARATOR

Participants that have a confirmed rotator cuff pathology, and are undergoing physiotherapy at the Holland Centre as part of the Shoulder Program.

Device: Smart Physiotherapy Activity Recognition System (SPARS)

Interventions

Wearable smart watch that records inertial data such as (accelerometer, gyroscope magnetometer) and the exercise is started on the tablet, while patients are performing physiotherapy exercises.

Active Comparator: OHIP (funded) Patient PopulationExperimental: Injured Worker Population

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • Males and females over the age of 18
  • Diagnosed with rotator cuff tendinosis, shoulder impingement syndrome, or degenerative or traumatic rotator cuff tear
  • Planned conservative (non-operative) management
  • Capacity to participate in home shoulder physiotherapy

You may not qualify if:

  • Upper extremity neurologic deficit
  • Symptomatic contralateral shoulder with limited mobility requiring treatment
  • Failed surgical management of rotator cuff pathology

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Sunnybrook Holland Orthopaedic & Arthritic Centre

Toronto, Ontario, M4Y 1H1, Canada

Location

Study Officials

  • Helen Razmjou

    Sunnybrook Holland Orthopaedic & Arthritic Centre

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
interventional
Phase
not applicable
Allocation
NON RANDOMIZED
Masking
NONE
Purpose
TREATMENT
Intervention Model
PARALLEL
Model Details: Device: Smart Physiotherapy Activity Recognition System (SPARS)
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

November 15, 2021

First Posted

December 1, 2021

Study Start

January 17, 2022

Primary Completion

October 8, 2024

Study Completion

October 8, 2024

Last Updated

August 11, 2025

Record last verified: 2024-07

Data Sharing

IPD Sharing
Will not share

Locations