Retirement-Age Adults Prefer Tailored mHealth Features
A 2025 qualitative focus-group study with 19 Spanish retirement-age adults (mean age 61.5) in Madrid examined mHealth adoption, design preferences, and barriers. Participants favored intuitive, age-appropriate features—tailored goal-setting, self-monitoring, positive feedback, moderated notifications, and social support—but reported low digital literacy, dependence concerns, and cultural mismatches. Authors recommend accessible interfaces, onboarding tutorials, personalized content, and peer features to improve uptake and sustained engagement.
Key Points
- 1Identify user preferences for tailored goal-setting, self-monitoring, positive feedback, and moderated notifications.
- 2Highlight barriers including low digital literacy, fear of dependence, and culturally mismatched content and language.
- 3Recommend accessible interfaces, initial tutorials, personalized recommendations, and social features to boost adoption and engagement.
Scoring Rationale
Actionable, peer-reviewed qualitative insights rate as high impact, constrained by small sample size and single-city Spanish context.
Sources
Public references used for this report.
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