Frailty Digital Device Feedback from Older Adults and Carers

Jenny Corser's dataset contains qualitative interview feedback on a digital health device concept for pre-frail and early-frail older adults. It includes interview data from 17 older adults and 5 carers, leading to a set of guiding design principles. The dataset was last updated in April 2026.

Use Cases

• Analyze interview themes like 'autonomy and prompts' to identify key user requirements for device personalization.
• Use generated personas to model different user needs and preferences for adaptive device design.
• Apply the documented guiding principles for feature prioritization in rehabilitation technology development.
• Study carer feedback to understand implementation strategies for technical support and usability.

Strengths

• Includes primary qualitative data from 22 participants (17 older adults, 5 carers).
• Results are grounded in reflexive thematic analysis, generating two distinct themes and three personas.
• Dataset is openly licensed under CC-BY-4.0 for reuse.

Limitations

• Small sample size of 22 participants limits statistical generalizability.
• Geographic and demographic coverage is unspecified, potentially introducing bias.
• Data is static and reflects a single study's findings from a specific point in time.

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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