Understanding Design Tradeoffs for Health Technologies: A Mixed-Methods Approach

Area of Science:

• Human-Computer Interaction (HCI)
• Health Design Science
• Psychology

Background:

• Understanding patient values is crucial for designing effective health self-management technologies.
• Existing methods may not adequately capture the nuanced trade-offs individuals make regarding health and technology adoption.

Purpose of the Study:

• To introduce and validate a mixed-methods approach for assessing how individuals weigh competing values in health technology.
• To provide a structured framework for data collection and analysis in health design science.

Main Methods:

• Integration of qualitative interviews with Q-methodology, a quantitative opinion analysis technique.
• Development of a data collection and analysis framework grounded in self-management and technology adoption theories.
• Field study involving older adults with type 2 diabetes and mothers of children with asthma.

Main Results:

• The approach successfully quantifies participant opinions on health technology trade-offs.
• Identified statistically significant patterns of consensus and polarizing views among participants.
• Demonstrated participant empowerment in articulating personally significant value trade-offs.

Conclusions:

• The mixed-methods approach offers significant advantages for health design science in HCI.
• Provides a robust theoretical framework and enhances data analysis through statistical pattern identification.
• Empowers users by enabling them to actively weigh and express personal values concerning health technologies.