Hierarchical Coding System: ED Provider Perceptions of Nonpharmacological Pain Treatments

A qualitative study from a single academic medical center, conducted by Rogelio A. Coronado, involving nine emergency department physicians. The dataset, last updated on 2026-06-01, contains a hierarchical coding system derived from semi-structured interviews about nonpharmacological pain strategies. It likely includes themes and subthemes related to implementation barriers, facilitators, and provider beliefs.

Use Cases

• Analyzing themes of institutional context and professional beliefs around nonpharmacological pain interventions mentioned in the description.
• Modeling the process of implementation for complementary therapies based on identified barriers and facilitators.
• Studying how patient and intervention characteristics modify treatment perceptions as described in the results.

Strengths

• Dataset is openly licensed under CC-BY-4.0.
• The description details a specific methodological approach involving nine physician interviews and a deductive-inductive analysis.
• File size is 84.4 KB, indicating a focused, manageable dataset.

Limitations

• Row count and column-level documentation are unknown, limiting suitability assessment.
• Data is from a single academic medical center with nine providers, which may limit generalizability.
• Description metadata is limited; actual data structure and quality require manual inspection after download.

Provenance

Source

Rogelio A. Coronado via figshare

Collection Method

Semi-structured interviews with nine ED physicians, transcribed and analyzed using an iterative deductive-inductive approach.

Freshness

Last updated 2026-06-01 17:33:02; freshness should be verified.

Geography

Likely from a single academic medical center in the United States, based on the description context.