Eight Patient Contextual Factor Instances With 4C Coding

Clinical coding data for eight instances where patients revealed contextual factors, either probed or unsolicited. The dataset contains 4C coding applied to these instances, authored by Justin Salehi and last updated in March 2026.

Use Cases

• Analyze the distribution of 4C coding categories across the eight documented patient instances.
• Examine patterns in how contextual factors are revealed, comparing probed versus unsolicited instances.
• Use the 4C coding framework to classify patient-reported contextual factors for qualitative healthcare research.

Strengths

• Provides a structured 4C coding framework for analyzing patient contextual factors.
• Clear license (CC BY 4.0) enabling open reuse and modification.
• Recent update in March 2026 indicates current maintenance.

Limitations

• Extremely small scale, containing only eight coded instances.
• Unknown row and column structure limits analytical scope.
• Lacks demographic, temporal, or geographic context for the patient instances.

Provenance

Source

figshare, author Justin Salehi.

Collection Method

Clinical coding of patient-reported contextual factors.

Time Range

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Freshness

Last updated 2026-03 26.

Geography

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