16 semi-structured interviews with 25 participants and three focus groups conducted in Michigan explore institutional experiences with drug shortages. The data likely contains qualitative responses on shortage management practices, openness to collaboration, and ideas for shared resources. The dataset was harvested by Andrew Shuman and last updated on May 4, 2026.
Use Cases
- Analyze hospital drug shortage management strategies based on qualitative interview transcripts.
- Identify obstacles to collaborative resource implementation based on stakeholder feedback.
- Compare shortage handling approaches across different hospital types (e.g., academic, community, critical access).
- Develop frameworks for fair drug allocation based on themes of resource inadequacy and varied collaborative attitudes.
Strengths
- Data includes 16 semi-structured interviews and 3 focus groups, providing depth.
- Participants were selected from 10 heterogeneous hospitals based on multiple criteria (e.g., bed count, type, location).
- The dataset captures diverse stakeholder perspectives (pharmacists, physicians, ethicists, community representatives).
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- Data may reflect geographic bias inherent to its focus on Michigan hospitals.
Provenance
- Source
- Andrew Shuman, QDR Harvested Dataverse
- Collection Method
- Semi-structured qualitative interviews and focus groups.
- Freshness
- Last updated 2026-05-04 07:10:49; freshness should be verified.
- Geography
- Michigan, USA