Qualitative codes from a study exploring discrepancies in how patients and healthcare professionals perceive perioperative patient safety measures. The 5.5 KB XLS file, authored by Maria de Lacerda Machado and last updated in March 2026, contains thematic categories derived from online mini-focus group analysis. Findings highlight communication failure as a predominant cross-cutting issue and differing priorities between patient experiences and professional system-level concerns.
Use Cases
- Training NLP models to classify qualitative healthcare feedback based on thematic categories like 'communication failure'.
- Analyzing discrepancies in safety indicator importance between patient and professional groups mentioned in the study.
- Informing the design of balanced Core Outcome Sets that integrate technical outcomes with quality-of-life measures.
- Studying the impact of knowledge gaps and differing targets on perceived safety in perioperative care.
Strengths
- Data is openly licensed under CC-BY-4.0.
- The study design is explicitly described as a qualitative exploratory study using focus groups.
- File size is 5.5 KB, indicating a focused and manageable dataset.
Limitations
- Row count is unknown, which may limit suitability assessment.
- Column-level documentation is absent; field semantics must be inferred after download.
- The dataset's small scale (5.5 KB) suggests limited scope, likely containing coded categories rather than raw transcripts.
Provenance
- Source
- Maria de Lacerda Machado via figshare
- Collection Method
- Data collected through online mini-focus groups with healthcare professionals and patients, analyzed via thematic qualitative text analysis.
- Time Range
- null
- Freshness
- Last updated 2026-03 17:29:12; freshness should be verified.
- Geography
- null