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ABSTRACT: Background
To quantify pain severity in patients and the efficacy treatments, researchers and clinicians apply tools such as the traditional visual analog scale (VAS) that leads to inaccurate interpretation of the main sensory pain.Objective
This study aimed to validate the pain measurements of a neuroscience-based 3D body pain mobile app called GeoPain.Methods
Patients with temporomandibular disorder (TMD) were assessed using GeoPain measures in comparison to VAS and positive and negative affect schedule (PANAS), pain and mood scales, respectively. Principal component analysis (PCA), scatter score analysis, Pearson methods, and effect size were used to determine the correlation between GeoPain and VAS measures.Results
The PCA resulted in two main orthogonal
SUBMITTER: Kaciroti N
PROVIDER: S-EPMC7468641 | biostudies-literature | 2020 Aug
REPOSITORIES: biostudies-literature