Integrative Mindfulness-Based Predictive Approach for Chronic Low Back Pain Treatment

Description

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.

Conditions

Chronic Low-back Pain

Talk to us

Study Overview

On this page

Study Details

Study overview

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.

Integrative Mindfulness-Based Predictive Approach for Chronic Low Back Pain Treatment

Integrative Mindfulness-Based Predictive Approach for Chronic Low Back Pain Treatment

Condition
Chronic Low-back Pain
Intervention / Treatment

-

Contacts and Locations

Boston

Boston Medical Center, Boston, Massachusetts, United States, 02116

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

For general information about clinical research, read Learn About Studies.

Eligibility Criteria

  • * Chronic low back pain, which is pain that persists for at least 3-months and has resulted in pain on at least half the days in the past 6 months
  • * Willing and able to provide online or telephone informed consent
  • * Speak English as the intervention manual is currently written in English
  • * Red flags- recent (past month) worsening of pain, unexplained fever, unexplained weight loss
  • * 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

Ages Eligible for Study

18 Years to

Sexes Eligible for Study

ALL

Accepts Healthy Volunteers

No

Collaborators and Investigators

Boston Medical Center,

Natalia Morone, MD MS, PRINCIPAL_INVESTIGATOR, Boston Medical Center

Jean King, PhD, PRINCIPAL_INVESTIGATOR, Worcester Polytechnic Institute

Emmanuel Agu, PhD, PRINCIPAL_INVESTIGATOR, Worcester Polytechnic Institute

Study Record Dates

2029-12