Integrative Mindfulness-Based Predictive Approach for Chronic Low Back Pain Treatment
NCT ID: NCT06106191
Last Updated: 2025-06-26
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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RECRUITING
NA
350 participants
INTERVENTIONAL
2024-07-25
2029-12-31
Brief Summary
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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.
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Detailed Description
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UH3 Phase Overview. Biopsychosocial markers will be identified of the response of diverse cLBP patients to MBSR (N=300) from comprehensive pain assessment and biopsychosocial data, including pain intensity and pain interference, physical activity, sleep, and heart rate for a 6-month period. Data will be collected and used for training and testing ML models. The MBSR program is evidence-based and meets weekly in a group via Zoom for 8-weeks for 90 minutes per week. Measures to determine biomarkers will be obtained at baseline (T1), four-weeks (T2), program completion (T3), four months (T4), and six months (T5). The main outcome timepoint with be at six months (T5), which allows time for durability of effects to be determined. The PEG (Pain, Enjoyment, General activity), obtained through online self-report surveys is the main outcome measure. Secondary outcomes of physical and psychological function will be self-report and obtained online, or if the patient prefers, by telephone, and physical activity, sleep, and heart rate variability will be collected by Fitbit.
Conditions
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Study Design
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NA
SINGLE_GROUP
TREATMENT
NONE
Study Groups
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Mindfulness based stress reduction (MBSR) program
Participants will be enrolled in a 8-week mindfulness clinical pain program + Primary Care Provider (PCP) Usual Care.
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.
Interventions
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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.
Eligibility Criteria
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Inclusion Criteria
* Willing and able to provide online or telephone informed consent
* Speak English as the intervention manual is currently written in English
Exclusion Criteria
* Pregnancy
* Metastatic cancer
* Not a patient at a participating clinic or persons not planning to continue as a patient at a participating clinic for 6 or more months
18 Years
ALL
No
Sponsors
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National Institute of Neurological Disorders and Stroke (NINDS)
NIH
Worcester Polytechnic Institute
OTHER
Boston Medical Center
OTHER
Responsible Party
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Principal Investigators
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Natalia Morone, MD MS
Role: PRINCIPAL_INVESTIGATOR
Boston Medical Center
Jean King, PhD
Role: PRINCIPAL_INVESTIGATOR
Worcester Polytechnic Institute
Emmanuel Agu, PhD
Role: PRINCIPAL_INVESTIGATOR
Worcester Polytechnic Institute
Locations
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Boston Medical Center
Boston, Massachusetts, United States
Countries
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Central Contacts
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Facility Contacts
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Other Identifiers
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H-44407
Identifier Type: -
Identifier Source: org_study_id
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