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Integrative Mindfulness-Based Predictive Approach for Chronic Low Back Pain Treatment
Sponsor: Boston Medical Center
Summary
This study will identify unique signatures that people have which can cause pain by evaluating biological, psychological, and social markers using artificial intelligence. These markers can be used to accurately predict the response of diverse individuals with chronic low back pain (cLBP) to Mindfulness-Based Stress Reduction. This will help enhance clinician decision-making and the targeted treatment of chronic pain. The overall objective is to use a unique machine learning (ML) approach to determine the biomarker signature of persons undergoing mindfulness based stress reduction (MBSR) treatment for their chronic low back pain (cLBP). This signature will facilitate clinical prediction and monitoring of patient response to MBSR treatment. The design of the study is a single-arm clinical trial of the evidence-based MBSR program for patients with cLBP.
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
INTERVENTIONAL
Enrollment
350
Start Date
2024-07-25
Completion Date
2029-12
Last Updated
2025-06-26
Healthy Volunteers
No
Conditions
Interventions
Mindfulness meditation
Ordinary activities like breathing, eating, and walking are turned into a meditation by creating greater awareness of the moment-to-moment sensations, emotions, thoughts and behaviors that arise during these activities.
Perspectives on pain
Understanding pain from a mind-body perspective and viewing pain as a stressor on physical sensations, thoughts, emotions, and behavior.
Discussion
Discussion on patients' use of mindfulness to work with pain and pain-themed meditations.
Locations (1)
Boston Medical Center
Boston, Massachusetts, United States