The Fibromyalgia Transcutaneous Electrical Nerve Stimulation in Physical Therapy Study (FM-TIPS) Protocol: A Multisite Embedded Pragmatic Trial.
Andrew A PostDana L DaileyEmine O BaymanRuth L ChimentiMichele CostiganCarla FranckTrevis HuffElizabeth JohnsonMaxine KoeppDavid-Erick LafontantMegan E McCabeTina Neill-HudsonCarol G T VanceBarb Van GorpBridget M ZimmermanDixie EcklundLeslie J CroffordKathleen A SlukaPublished in: Physical therapy (2022)
FM-TIPS is a phase III embedded pragmatic clinical trial funded through the National Institutes of Health Helping to End Addiction Long-Term (HEAL) Initiative. This trial will utilize a randomized cluster design that includes more than 110 physical therapists in 24 to 30 physical therapy clinics within 6 health care systems and 7 states. Clinics will be randomized to TENS or No-TENS, stratified by health care system and clinic size. The plan is to enroll 600 participants, with all participants completing physical therapy as prescribed by their physical therapist. Participants at TENS clinics will utilize TENS for a minimum of 2-hour per day while at the physical therapy clinic and at home when active. The primary outcome is reduction in movement-evoked pain from baseline to Day 60 on an 11-point numeric rating scale when participants sit and stand five times (Sit and Stand Test) Secondary outcomes include resting pain and fatigue, pain interference, fibromyalgia disease activity, movement-evoked fatigue, multidimensional assessment of fatigue, rapid assessment of physical activity, patient global impression of change, and common data elements shared across studies supported through the HEAL Initiative.
Keyphrases
- phase iii
- clinical trial
- open label
- primary care
- physical activity
- phase ii
- chronic pain
- double blind
- disease activity
- study protocol
- placebo controlled
- healthcare
- quality improvement
- pain management
- mental health
- neuropathic pain
- rheumatoid arthritis
- sleep quality
- systemic lupus erythematosus
- randomized controlled trial
- rheumatoid arthritis patients
- ankylosing spondylitis
- body mass index
- public health
- heart rate
- machine learning
- type diabetes
- blood pressure
- case report
- juvenile idiopathic arthritis
- heart rate variability
- data analysis
- weight loss
- skeletal muscle
- artificial intelligence
- health information
- depressive symptoms
- climate change
- deep learning
- health insurance