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Algorithm-informed Decision-making to Advance Pain Treatment
Sponsor: University of Michigan
Summary
Researchers are exploring how certain personal factors, such as symptoms, health history, and lifestyle, may help predict which treatments will work best for someone. The purpose of this study is to evaluate how well a study algorithm chooses the best treatments for a patient when considering their unique pain characteristics.
Official title: Algorithm-informed Decision-making to Advance Pain Treatment (ADAPT Study)
Key Details
Gender
All
Age Range
25 Years - Any
Study Type
INTERVENTIONAL
Enrollment
500
Start Date
2026-07-23
Completion Date
2030-07
Last Updated
2026-09-15
Healthy Volunteers
No
Conditions
Interventions
Algorithmically informed randomization (taking into account phenotypes)
After Phenotypic data is collected from participants, the algorithm will use that data to "rank" the likelihood of success of different treatments for an individual; it will then,randomize participants based on two patterns of assignment. And at visit 3, it will re-randomize those participants who wish to add an additional treatment modality or transfer from one modality to another.
Physical Therapy (PT) and Exercise
A high-contact intervention (10 in-person sessions) involving individualized programs tailored to participant needs and guided by physical therapy best-practice guidelines. Treatment emphasizes home exercise, progressive low-intensity conditioning, and functional endurance.
Cognitive-Behavioral Therapy for Pain (PRISM-CBT)
A moderate-contact telehealth intervention (8 virtual sessions) integrating standard CBT techniques with positive activity modules to enhance engagement, mood, and self-efficacy. Weekly modules focus on pacing, cognitive reframing, relaxation, gratitude, and acts of kindness.
mHealth Acupressure Self-Management:
A low-contact, self-guided intervention delivered via the MeTime mobile application, supported by brief staff instruction. Participants practice daily self-acupressure at ten standardized points for approximately 30 minutes per day, stimulating key acupoints associated with pain modulation.
Duloxetine
This is a serotonin-norepinephrine reuptake inhibitor (SNRI) FDA-approved for chronic pain. A low-contact pharmacologic intervention consisting of an 8-week dose escalation of 60 mg duloxetine, followed by taper as indicated. Participants initiate medication at home after a standardized orientation, with remote safety and adherence check-ins.
Locations (1)
University of Michigan
Ann Arbor, Michigan, United States