A web-based, branching logic questionnaire for the automated classification of migraine

Abstract

Objective To identify migraineurs and headache-free individuals with an online questionnaire and automated analysis algorithm. Methods We created a branching-logic, web-based questionnaire – the Penn Online Evaluation of Migraine – to obtain standardized headache history from a previously studied cohort. Responses were analyzed with an automated algorithm to assign subjects to one of several categories based on ICHD-3 (beta) criteria. Following a pre-registered protocol, the primary outcome was sensitivity and specificity for assignment of headache-free, migraine without aura, and migraine with aura labels, as compared to a prior classification by neurologist interview. Results Of 118 subjects contacted, 90 (76%) completed the questionnaire; of these 31 were headache-free controls, 29 migraine without aura, and 30 migraine with aura. Mean age was 41 ± 6 years and 76% were female. There were no significant demographic differences between groups. The median time to complete the questionnaire was 2.5 minutes (IQR: 1.5–3.4 minutes). Sensitivity of the Penn Online Evaluation of Migraine tool was 42%, 59%, 70%, and 83%, and specificity was 100%, 84%, 93%, and 90% for headache-free controls, migraine without aura, migraine with aura, and migraine overall, respectively. Conclusions The Penn Online Evaluation of Migraine web-based questionnaire, and associated analysis routine, identifies headache-free and migraine subjects with good specificity. It may be useful for classifying subjects for large-scale research studies. Research study pre-registration: https://osf.io/sq9ef The following research study is a not a clinical trial.