Demographic Characteristics of Key Informants in Ethiopian Health Supply Chain Study

Ethiopia's health supply chain bottlenecks were studied via key informant interviews with 23 participants, including logisticians and health extension workers. The dataset was created by Welelaw Necho Mulatu and last updated on May 14, 2026. It is a small dataset (5.5 KB) stored in an XLS file format.

Use Cases

• Profile key informant roles based on participant types such as logisticians and health extension workers.
• Analyze supply chain barriers in relation to geographic contexts like pastoral and agrarian areas.
• Study human resource constraints based on mentions of staffing shortages and high turnover.
• Investigate infrastructure challenges based on described issues with storage, power, and internet connectivity.

Strengths

• Dataset is based on interviews with 23 key informants, providing qualitative depth.
• Focuses on a specific, critical problem: last-mile supply chain bottlenecks for RMNCH commodities in Ethiopia.
• Data is openly licensed under CC-BY-4.0 for reuse.

Limitations

• Dataset is very small (5.5 KB), indicating limited scope and likely a small number of records.
• Row count and column-level documentation are unknown, complicating suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare

Collection Method

Data were gathered via key informant interviews and analyzed using Braun and Clarke’s thematic analysis framework.

Freshness

Last updated 2026-05-14 17:32:03; freshness should be verified.

Geography

Ethiopia, specifically pastoral and agrarian areas.