- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06420596
The Effectiveness of Remote App-assisted Physiotherapy in Patients With Non-specific Low Back Pain (RemotePT)
A Randomised Controlled Trial on the Effectiveness of Remote App-assisted Physiotherapy in Patients With Non-specific Low Back Pain (RemotePT)
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
In Switzerland, 1.5 million people suffer from low back pain (LBP), which is often the cause of disability. Non-specific LBP is a major cause of high healthcare costs in developed countries and often leads to early retirement.
The development of musculoskeletal assessment through remote app-assisted therapeutic home training may be useful for individuals with non-specific LBP, providing initial support for its implementation in primary care in the patient's home. App-supported therapeutic solutions allow healthcare professionals to prescribe and monitor rehabilitation programs remotely. These innovative solutions have the potential to reduce healthcare costs and provide clinical outcomes comparable or even better than conventional physiotherapy, especially for patients in remote areas.
Akina Cloud, a digital health application that supports therapeutic exercises in people with musculoskeletal disorders, is the first remote app-assisted therapeutic home training solution available in Switzerland. It provides patients with exercise and educational content and facilitates communication between patients and therapists via the application.
The aim of this single-center, observational randomised controlled trial is to show the efficacy of Akina Cloud-mediated physiotherapy in patients with non-specific LBP. Therefore, all enrolled patients receive one prescription of physiotherapy treatment, while patients in the intervention group in contrast to the control group additionally receive the Akina Cloud-mediated physiotherapy. The efficacy of the remote app-assisted physiotherapy through Akina Cloud in regards to reducing the functional disability (primary objective), reducing perceived pain and increasing quality of life (secondary objectives) in comparison to conventional physiotherapy alone is evaluated.
The results of the trial will demonstrate whether app-assisted therapeutic home training is promising approach for managing non-specific low back pain, with the potential to significantly impact patient outcomes and healthcare delivery in Switzerland.
Study Type
Enrollment (Actual)
Phase
- Not Applicable
Contacts and Locations
Study Locations
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Canton of Basel-City
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Basel, Canton of Basel-City, Switzerland, 4052 Basel
- Department of Spine Surgery, University Hospital Basel, Bethesda Spital
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Age ≥ 18
- Diagnosis of non-specific low back pain (International Classification of Diseases, 10th edition M54.5) with the pain duration of at least 6 weeks
- Low back pain score of >3 out of 0-10, based on the numerical pain rating scale at the time of enrolment
- Ability to provide informed consent and participation in the study
- Prescription for physiotherapy
- German speaking
- Presence of an email address, internet connection and a private laptop as well as being able to use the laptop
Exclusion Criteria:
- Inpatient pain therapy (red flags)
- History of lumbar spine surgery during the last year
- Known diagnosis of performance-limiting illnesses as psychological disorders, diseases of the cardiovascular system, etc.
- Known pregnancy
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Treatment
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Other: Control intervention
In the control group, patients receive conventional physiotherapy.
|
Conventional physiotherapy is one prescription of 9 in person physiotherapy sessions (according to FMH Switzerland guidelines).
The frequency of the physiotherapy sessions are at the discretion of the treating clinician, but the recommendation is 1 to 2 sessions per week.
|
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Experimental: Study Intervention
In the interventional group, patients receive 12 weeks of a remote physiotherapy via Akina Cloud in addition to conventional physiotherapy (treatment according to FMH Switzerland guidelines).
Patients are encouraged to complete at least three app-guided training sessions per week.
|
Conventional physiotherapy is one prescription of 9 in person physiotherapy sessions (according to FMH Switzerland guidelines).
The frequency of the physiotherapy sessions are at the discretion of the treating clinician, but the recommendation is 1 to 2 sessions per week.
Akina Cloud is a digital health application that supports therapeutic exercises in people with musculoskeletal disorders.
It is the first app-supported physiotherapy solution available in Switzerland.
Other Names:
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Assessment of the functional disability
Time Frame: Baseline, 0.5, 4, 8, and 12 weeks
|
The patient's functional disability is assessed using the Oswestry Disability Index (ODI).
The ODI is a patient-completed questionnaire that provides a subjective percentage score indicating the level of disability in daily activities.
Scores range from 0 to 100, with higher scores indicating greater disability.
To evaluate whether the remote app-assisted physiotherapy using Akina Cloud in addition to conventional physiotherapy is more effective than conventional physiotherapy alone, the average ODI scores between the two groups are compared.
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Baseline, 0.5, 4, 8, and 12 weeks
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Assessment of pain
Time Frame: Baseline, 0.5, 4, 8, and 12 weeks
|
The pain intensity is assessed by asking the patient to rate his/her pain on a Numerical Rating Scale (ranging from 0 to 10, where 0 represents no pain and 10 represents the worst possible pain).
To evaluate whether the remote app-assisted physiotherapy using Akina Cloud in addition to conventional physiotherapy is more effective in reducing perceived pain than conventional physiotherapy alone, the average values between the two groups are compared.
|
Baseline, 0.5, 4, 8, and 12 weeks
|
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Assessment of the quality of life by the Veterans RAND 12-Items Health Survey
Time Frame: 0.5, 4, 8, and 12 weeks
|
The health-related quality of life is assessed using the Veterans RAND 12-Items Health Survey (VR-12), which measures various aspects of physical and mental health, generating Physical Component Summary and Mental Component Summary scores.
Scores range from 0 to 100, with higher scores indicating better health outcomes.
To evaluate whether the remote app-assisted physiotherapy using Akina Cloud in addition to conventional physiotherapy is more effective in increasing the quality of life than conventional physiotherapy alone, the average scores between the two groups are compared.
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0.5, 4, 8, and 12 weeks
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Collaborators and Investigators
Investigators
- Principal Investigator: Cordula Netzer, PD Dr. med., Department of Spine Surgery, University Hospital Basel
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 2024-00430; mu24Netzer
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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