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Characterizing the Digital Health Citizen: Mixed-Methods Study Deriving a New Typology
1Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.
Digital inequalities in health are not just about access but also about how different user types seek and use online health information, leading to varied health behaviors. A new typology identifies six distinct user groups to improve digital inclusion strategies.
Area of Science:
- Health Informatics
- Digital Health
- Health Services Research
Background:
- Digital inclusion is a key challenge for health systems.
- Digital inequalities are often viewed through access and usage, but these don't fully explain health behavior differences from internet use.
Purpose of the Study:
- To develop a new typology of health internet users based on motivations and enablers.
- To explain how individual orientations influence health behavior through online health information seeking.
Main Methods:
- Mixed-methods design combining qualitative interviews (n=43) and quantitative survey data (Oxford Internet Surveys, n=2150).
- Hierarchical cluster analysis used to derive a typology of health information seekers based on identified motivations and enablers.
Main Results:
- Identified six distinct user types: Learners, Pragmatists, Skeptics, Worriers, Delegators, and Adigitals.
- Each type exhibits unique motivations, internet usage patterns, and approaches to health information, influencing their health perceptions and decisions.
Conclusions:
- The study highlights an 'outcomes divide' in digital health, beyond access and usage.
- A new typology of health internet users can inform digital inclusion policies for health systems.
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