Abstract
Background
This study aimed to validate a semi-quantitative composite score tool, "Headache Gauge" (HG), to monitor the treatment effect in primary headaches in everyday clinic practice, adjustable to any chosen timeframe.
Method
A cohort validation study of HG was performed in primary headache patients, recovering their clinical data and patient-related outcome measures (PROMs) for headache (HIT-6, MIDAS, HURT), work impact (WPAIQ), quality-of-life (SF-12), and mood (STAI, ZUNG). HG score distribution, its relation to clinical variables, its internal consistency, and its convergent validity were determined.
Results
HG was plotted in 233 patients: 90.1% females, age average 37 years, 86% with migraine, 27% with chronic headaches, and 28% with medication overuse. HG ranged from 0.21 to 58.3 in this sample, higher in chronic headaches (HG 16) and medication overuse (HG 15). HG presented good concurrent validity, significantly correlating with HIT-6 (p < 0.0001), SF-12 (p = 0.001), WPAIQ (p < 0.0001), MIDAS (p < 0.0001), and HURT (p < 0.0001). Good sensitivity to change (p < 0.001) and moderate test-retest reliability (p = 0.001) were calculated after reassessment of 147 patients (63.1% of the initial sample).
Conclusions
Headache Gauge is a clinical data-based outcome measure that conceptually translates the percentage of lost time to headache in any given timeframe. It relates to headache impact, therefore bearing the potential to be relevant in real-life clinical monitoring.
Δεν υπάρχουν σχόλια:
Δημοσίευση σχολίου