Qualitative Interview Data on Frailty and Digital Health Device Design

17 older adults and 5 carers provided feedback on a digital health device concept for pre or early frailty management. The dataset contains qualitative interview data analyzed to generate themes and personas. Researcher Jenny Corser published the data in April 2026.

Use Cases

• Analyze interview-derived themes like 'autonomy and prompts' to identify key design requirements for personalized health devices.
• Use generated personas from the data to model different user needs and preferences for assistive technology.
• Apply the documented Guiding Principles to evaluate or structure feature sets for therapeutic digital tools.
• Examine participant characteristics to understand demographic or experiential factors influencing adoption and adherence.

Strengths

• Data from 22 total participants (17 older adults, 5 carers) provides direct user perspectives.
• Includes concrete outputs like three distinct user personas and a set of Guiding Principles for design.

Limitations

• Small sample size of 22 participants limits statistical generalizability of findings.
• Data is qualitative and text-based, requiring thematic analysis rather than quantitative modeling.
• Geographic and cultural coverage is limited to the unspecified community recruitment setting.

Provenance

Source

Jenny Corser via figshare.

Collection Method

In-person audio-recorded qualitative interviews followed by reflexive thematic analysis.

Time Range

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Freshness

Last updated in April 2026.

Geography

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