Designing Feedback Visualizations for Anti-Hypertensive Medication Adherence for Older Adults

Abstract

Adhering to anti-hypertensive medications contributes to control of blood pressure and improved health outcomes. However, adherence rates among older adults are low. Patient monitoring of medication taking helps increase adherence and technology has great potential to support self-monitoring, in part by providing visual feedback about medication taking performance. However, little attention has been paid to designing feedback visualizations in medication-monitoring technology for older adults. In this research, we explored guidelines for designing understandable and effective adherence visualizations for older adults from existing theories and literature. With the guidelines in mind, we designed, refined, and evaluated visualizations that provided adherence feedback for a digital health system with 17 older participants, focusing on measures of comprehension, perceived effectiveness, and preferences. Based on theory and evidence, we identified design guidelines for feedback visualizations. These guidelines can support design of useful feedback visualizations that may improve medication adherence among older adults.

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