Examining Opportunities for Goal-Directed Self-Tracking to Support Chronic Condition Management
summary
A reanalysis of prior migraine tracking data yields a paper prototype that explicitly elicits and encodes tracking aims, lets users choose symptoms, contributors, treatments, timing and methods, and offers goal-specific analyses and recommendations. The prototype is evaluated in interviews with 14 people with migraine and 5 health providers, and findings show it elicits different goal hierarchies, reduces unnecessary data collection, scaffolds changing routines over time, and improves patient–provider alignment for chronic condition management.
AI-written summary · about