Prediction of Patient Satisfaction after Treatment of Chronic Neck Pain with Mulligan's Mobilization.

ABSTRACT: Chronic neck pain is among the most common types of musculoskeletal pain. Manual therapy has been shown to have positive effects on this type of pain, but there are not yet many predictive models for determining how best to apply manual therapy to the different subtypes of neck pain. The aim of this study is to develop a predictive learning approach to determine which basal outcome could give a prognostic value (Global Rating of Change, GRoC scale) for Mulligan's mobilization technique and to identify the most important predictive factors for recovery in chronic neck pain subjects in four key areas: the number of treatments, time of treatment, reduction of pain, and range of motion (ROM) increase. A prospective cohort dataset of 80 participants with chronic neck pain diagnosed by their fam

SUBMITTER: Fernandez-Carnero J 

PROVIDER: S-EPMC9860852 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature