ISRCTN17927832
Completed
N/A
An AI-based clinical decision support system for personalized care of common musculoskeletal pain disorders in primary physiotherapy care
orwegian University of Science and Technology0 sites724 target enrollmentJanuary 18, 2021
Overview
- Phase
- N/A
- Intervention
- Not specified
- Conditions
- Improved treatment outcome for patients with common musculoskeletal disorders such as neck, shoulder, low back, hip, knee and multisite pain
- Sponsor
- orwegian University of Science and Technology
- Enrollment
- 724
- Status
- Completed
- Last Updated
- last year
Overview
Brief Summary
No summary available.
Investigators
Eligibility Criteria
Inclusion Criteria
- •1\. Patients presenting to a primary care physiotherapist with musculoskeletal pain disorder in any of these areas; shoulder, neck, upper/low back, hip, knee or with multisite pain as primary contact reason.
- •2\. Age above 18 years
- •3\. Physiotherapists with the patient participants in their current patient population
Exclusion Criteria
- •1\. Reduced cognitive function or skills in Norwegian (impeding reading, speaking or comprehension of Norwegian language)
- •2\. Neurological diagnosis (e.g. multiple sclerosis, stroke, ALS, Parkinson, dementia)
- •3\. On\-going cancer
- •4\. Pregnancy or pregnancy\-related disorders
- •5\. Scheduled for surgery or recent surgery or fracture within the last 6 months
Outcomes
Primary Outcomes
Not specified
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