Machine learning clinical decision support for interdisciplinary multimodal chronic musculoskeletal pain treatment.

ABSTRACT:

Introduction

Chronic musculoskeletal pain is a prevalent condition impacting around 20% of people globally; resulting in patients living with pain, fatigue, restricted social and employment capacity, and reduced quality of life. Interdisciplinary multimodal pain treatment programs have been shown to provide positive outcomes by supporting patients modify their behavior and improve pain management through focusing attention on specific patient valued goals rather than fighting pain.

Methods

Given the complex nature of chronic pain there is no single clinical measure to assess outcomes from multimodal pain programs. Using Centre for Integral Rehabilitation data from 2019-2021 (n = 2,364), we developed a multidimensional machine learning framework of 13 outcome measures

SUBMITTER: Zmudzki F 

PROVIDER: S-EPMC10203229 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature