Exploring the health behaviour practices of elective ad-hoc percutaneous coronary intervention (PCI) patients
Bibliographic record
Abstract
Interventional technologies such as elective percutaneous coronary interventions (PCI)are increasingly used to manage the symptoms of coronary artery disease (CAD); however, this treatment approach is associated with poor risk factor management. The purpose of this study was to understand the factors that influence the health behaviors of elective PCI patients. A qualitative approach, using Interpretive Description, was used to explore the ten participants’ healthcare experiences, their perceptions of CAD, and the rationale for their health choices. This generated a profile of these individuals and their post-PCI health behaviours. Health behaviours were influenced by multiple factors and are reflected in the themes: what a relief – I’m better; uncertainty about their future health; the importance of relations; and barriers to lifestyle change. These findings not only extend our understanding of the elective PCI patients’ health behaviour choices but also provides insight into key areas to target for improving health service delivery.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".