Algorithm-informed Decision-making for Chronic Low-back Pain Treatment
This study is looking for 500 participants with chronic low-back pain (pain lasting at least six months) to see if a special computer program (algorithm) can help choose the best treatment for each person. Researchers want to understand how your unique health information, like symptoms and medical history, can predict which treatments will work best for you. You might receive Physical Therapy and Exercise, Cognitive-Behavioral Therapy for Pain (PRISM-CBT), mHealth Acupressure Self-Management, or Duloxetine (an FDA-approved medication for chronic pain). The main goal is to see how much your pain, enjoyment of life, and daily activities improve after about 6 to 15 weeks of treatment.
- Study design
- This is an interventional study involving 500 participants. An algorithm will help decide which treatment you receive, based on your personal health information.
- What's involved
- You would receive one of four interventions: 10 in-person physical therapy sessions over 8 weeks, daily Duloxetine medication for 8 weeks, daily self-acupressure for 8 weeks, or 8 weekly virtual CBT sessions with coaching.
- Compensation
- Not stated in the trial record.
- Follow-up
- Your pain, enjoyment, and general activity will be measured after about 6 weeks and again at about 15 weeks.
AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.
Algorithm-informed Decision-making to Advance Pain Treatment
At a glance
Conditions
Where it's being run
1 sites across 1 statesStudy leadership
- Afton Hassett, PsyD · PRINCIPAL_INVESTIGATOR · University of Michigan
- Daniel Clauw, MD · PRINCIPAL_INVESTIGATOR · University of Michigan
Who to contact
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Do you actually qualify for this trial?
Add a private profile and we'll compare every criterion below against your situation — and tell you which ones are met, uncertain, or excluding.
Inclusion
Exclusion
What this trial measures
- Change in Pain, Enjoyment and General Activity (PEG) scoresT2 (approximately week 6) - T3 (approximately week 15)
The PEG is a three-item survey measure used to assess pain by asking for ratings of Pain intensity, Enjoyment of life, and General activity on a scale of 0-10 over the past week. The final score is the average of the three ratings, with higher scores indicating greater pain severity or interference.