Nurse Interview Data on Risk Stratification Practices

20 interviews with registered nurses provide qualitative insights into their risk stratification tasks and cues. The data were collected from a random subgroup of 20 RNs, with 10 drawn from each of two larger groups of 100 RNs. Author Tremaine Williams gathered this data to understand RN perspectives on their practices.

Use Cases

• Analyze interview transcripts to identify common themes in the tasks described by RNs.
• Code qualitative responses to categorize the specific cues RNs associate with risk stratification.
• Compare perspectives between the two subgroups of 10 RNs to explore potential differences in practice.

Strengths

• Data is sourced directly from 20 practicing registered nurses, providing firsthand perspectives.
• Interviews targeted a specific professional practice area: risk stratification in nursing.

Limitations

• Small qualitative sample size of 20 interviews limits statistical generalizability.
• Lack of structured columnar data or sample data limits direct quantitative analysis.
• Unknown file formats and data structure may require significant preprocessing for computational use.

Provenance

Source

ICPSR Harvested Dataverse

Collection Method

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

Freshness

Last updated on 2026-02-23.