Qualitative data from a multi-site feasibility study assessing a traumatic brain injury prognostic model as a clinical decision support tool. The study involved co-design sessions with 21 healthcare providers from Kilimanjaro Christian Medical Center in Tanzania and Duke Hospital in the USA. Paige O'Leary collected the data for her Master's thesis at Duke.
Use Cases
- Analyzing themes from healthcare provider feedback based on co-design session transcripts
- Evaluating cultural and practical requirements for clinical tool implementation based on qualitative responses
- Developing user interface improvements for prognostic models based on structural coding themes
- Comparing implementation strategy insights from two distinct healthcare settings
Strengths
- Data includes transcripts from 21 healthcare providers (9 from KCMC, 12 from Duke)
- Structural coding was performed with a high intercoder reliability score (Kappa = 0.91)
- Co-design sessions were conducted using a human-centered design research methodology
Limitations
- Column-level documentation is absent; field semantics must be inferred after download
- Row count is unknown, which may limit suitability assessment
Provenance
- Source
- QDR Harvested Dataverse
- Collection Method
- Co-design sessions conducted via WebEx or in-person, with transcripts structurally coded using NVivo12
- Freshness
- Last updated 2025-10-20 19:58:37; freshness should be verified
- Geography
- Moshi, Tanzania and North Carolina, USA