A Cross-sectional Feasibility Study Testing the Use of Abstract Animations for the Communication and Assessment of Pain (Preprint)
BACKGROUND Pain is the most common medical symptom requiring care, yet the current methods for assessing pain are sorely inadequate. Pain assessment tools either take too long to complete for point of care use or are too simplistic to capture the dynamic pain experience. OBJECTIVE To address this, we developed Painimation, a novel tool that uses graphic visualizations and animations instead of words or numeric scales to assess pain quality, intensity, and course. This study examines the utility of abstract animations as a measure of pain. METHODS Painimation was evaluated in a chronic pain medicine clinic. Eligible patients were receiving treatment for pain and reported pain more days than not for at least 3 months. Using a tablet computer, participating patients completed the Painimation instrument, the McGill Pain Questionnaire (MPQ), and the PainDETECT questionnaire for neuropathic symptoms. RESULTS Participants (N = 207), completed Painimation and indicated it was useful for describing their pain (mean=4.04/5 on a usefulness scale), and 154 out of 196 participants (79%) agreed or strongly agreed that they would use Painimation to communicate with their providers. Animations selected corresponded with pain adjectives endorsed on the MPQ. Further, selection of the electrifying animation was associated with self-reported neuropathic pain (r=.16, P=.03), similar to the association between neuropathic pain and PainDETECT (r=.17, P=.03). Painimation was associated with PainDETECT (r=.35, P<.001). CONCLUSIONS Using animations may be a faster and more patient-centered method for assessing pain and is not limited by age, literacy level, or language; however, more data are needed to assess the validity of this approach. Painimation needs testing in a more homogenous pain population to validate animations as a pain assessment method.