E-diary use in clinical headache practice: A prospective observational study

Area of Science:

• Neurology
• Digital Health
• Medical Informatics

Background:

• Migraine diagnosis relies on patient history, which can be prone to recall bias.
• Accurate tracking of migraine frequency and related symptoms is essential for effective management.

Purpose of the Study:

• To evaluate the diagnostic accuracy of a self-developed E-diary for migraine.
• To compare the reliability of E-diary data with patient self-reported estimates for migraine frequency.

Main Methods:

• A self-developed E-diary with automated algorithms was used to differentiate headache and migraine days.
• Diagnostic performance was assessed against physician diagnosis in headache patients.
• Migraine patients' self-estimated frequencies were compared to E-diary results.

Main Results:

• The E-diary, combined with an E-headache questionnaire, achieved 98% sensitivity and 17% specificity.
• Adding an E-migraine questionnaire improved diagnostic accuracy to 79% sensitivity and 69% specificity.
• Significant differences were found between self-estimated and E-diary-based frequencies for migraine days, headache days, and medication use.

Conclusions:

• The E-diary demonstrates utility in diagnosing migraine and collecting reliable data.
• E-diaries are essential for obtaining accurate patient information, overcoming recall limitations.
• Integrating E-diaries holds promise for advancing telemedicine in headache care.