eCap-CoDe: Qualitative Data for mHealth Dementia Care Co-Design in Rural Uganda

31 in-depth interviews with primary health care providers and District Health Team members from two rural districts in Uganda. The data was thematically analyzed using the Consolidated Framework for Implementation Research (CFIR) to inform the design of a mobile application for dementia care. The dataset was authored by Edith K. Wakida and last updated on 2026-04-30.

Use Cases

• Analyzing user requirements for mHealth applications based on the described content, user experience, organizational, and service delivery domains.
• Training natural language processing models on qualitative healthcare interview data based on the thematic analysis described.
• Studying implementation science frameworks in low-resource contexts based on the application of the CFIR model.
• Informing the co-design of digital tools for non-communicable diseases based on the described needs for modular training and data integration.

Strengths

• Dataset is based on 31 in-depth interviews, providing a qualitative foundation.
• Analysis was structured using the established Consolidated Framework for Implementation Research (CFIR).
• Data collection targeted a diverse sample of 23 primary health care providers and 8 District Health Team members.

Limitations

• The dataset is very small at 9.5 KB, indicating limited scope.
• Row count and column-level documentation are unknown, which limits suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare, author Edith K. Wakida

Collection Method

Purposive sampling and in-depth interviews, followed by thematic analysis.

Freshness

Last updated 2026-04-30 17:50:11; freshness should be verified.

Geography

Two rural districts in Uganda