Nurse Interviews on Risk Stratification Tasks and Cues

Qualitative interview data were collected from a random subgroup of 20 Registered Nurses (RNs) to understand their risk stratification practices. The dataset captures RN perspectives on their tasks and related cues. The author is Williams, Tremaine, and the data was last updated in February 2026.

Use Cases

• Analyze qualitative themes from interview transcripts to identify common tasks mentioned by RNs in their risk stratification practices.
• Code interview responses to map the relationship between specific cues and the tasks RNs perform.
• Compare perspectives between the two subgroups of 10 RNs each to explore variations in risk stratification approaches.

Strengths

• Data is based on direct interviews with 20 practicing Registered Nurses, providing first-hand qualitative insights.
• The sample was drawn from two distinct groups of 100 RNs each, allowing for subgroup comparison.
• The dataset was updated in February 2026, indicating recent maintenance.

Limitations

• The sample size of 20 RNs is small, limiting statistical generalizability of findings.
• As qualitative interview data, analysis requires manual coding and thematic interpretation, which is resource-intensive.
• The specific geographic scope and time range of the original data collection are not provided.

Provenance

Source

ICPSR Harvested Dataverse

Collection Method

Qualitative data collected via interviews with a random subgroup of 20 RNs.

Freshness

Last updated 2026-02-23.