Assessing the efficacy of a manual-based intervention for improving the detection of facial pain expression.

Abstract

This article presents the results of a parallel-group, non-randomized, controlled study that evaluated the feasibility of an online training program for improving observer detection of facial pain expression. Fifty-four undergraduate students attended two laboratory sessions interspersed by an intervention period where they were assigned to complete the Index of Facial Pain Expression (IFPE)-an online training environment designed to teach observers to code facial muscle movements associated with pain-or a no-contact control. Participants completed questionnaires during the first session and watched parallel versions of the Sensitivity to Expression of Pain (STEP) test during laboratory sessions. STEP tests contained excerpts of facial expressions taken from patients with shoulder pain. Reliability of coding following the IFPE was measured. Signal detection methods were applied to pain ratings to the STEP tests to calculate measures of sensitivity and response bias to facial pain expression. Participants took 3.5hr to complete the IFPE. Training resulted in reliable coding of facial muscle movements associated with pain and improvements in sensitivity (from 0.75 to 0.87 in experimental relative to 0.75 to 0.80 in control), but not response bias, to facial expressions of clinical pain. Training was influenced by observer traits, including empathy, emotional intelligence (EI), and prior experience with individuals who experience chronic pain. The IFPE represents a brief measurement system for facial pain expression with research applicability and potential clinical utility. The IFPE could help clinicians be more sensitive to expressions of clinical pain. The index of facial pain expression (IFPE) is an online training program that can improve an observer's ability to reliably detect expressions of clinical pain after as few as 3.5-hr of training.