Women’s experiences of undergoing coronary artery bypass graft surgery
Bibliographic record
Abstract
AIM: This paper is a report of a study of women's experiences of coronary artery bypass graft surgery. BACKGROUND: Worldwide, coronary heart disease is the leading cause of morbidity and mortality. It has traditionally been viewed as primarily affecting men. However, a growing body of literature exploring gender differences in this area is challenging accepted beliefs, particularly in relation to outcomes. Despite this, awareness of how women interpret and respond to the experiences of cardiac surgery remains limited. METHODS: At regional cardiothoracic centres in England and Wales, during 2003 to 2006, data were collected from 30 women preoperatively and at 6 weeks and 6 months postoperatively using semi-structured interviews. A constructivist grounded theory approach was adopted and data were analysed using extensive coding and constant comparison techniques. RESULTS: A substantive theory of the public-private dialogue of normality emerged demonstrating that participants faced lifestyle disruptions as they attempted to privately normalize and integrates limitations, while minimizing a public display of illness. During the preoperative period, participants experienced difficulties recognizing and acting on symptoms and endured physical and emotional distress while waiting for surgery. Following surgery, women experienced functional limitations which forced them to relinquish normal activities and roles. As recovery progressed, women came to accept their changed health status and renegotiated state of normality. CONCLUSION: The findings increase understanding about the adjustments which women undergoing cardiac surgery make as part of living with a long-term condition and support the need to develop innovative gender-sensitive health education and services.
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".