Same-Day Breast Cancer Surgery: A Qualitative Study of Women's Lived Experiences
Bibliographic record
Abstract
PURPOSE/OBJECTIVES: To understand the experiences of women having same-day breast cancer surgery and make recommendations to assist healthcare professionals effect change to enhance quality of care. RESEARCH APPROACH: Thematic analysis of audiotaped interviews. SETTING: Outpatient departments of two city hospitals on the east coast of Canada. PARTICIPANTS: Purposive sample of 13 women who had undergone same-day breast cancer surgery. METHODOLOGIC APPROACH: A constructivist approach with in-depth interviews and comparative analysis to develop and systemically organize data into four major interrelated themes and a connecting essential thread. MAIN RESEARCH VARIABLES: Women's experiences with same-day breast cancer surgery. FINDINGS: The themes of preparation, timing, supports, and community health nursing intervention were of paramount importance for effective coping and recovery. Women who had a positive experience with same-day breast cancer surgery also reported having adequate preparation, appropriate timing of preparation, strong support systems, and sufficient community health nursing intervention. Those reporting a negative experience encountered challenges in one or more of the identified theme areas. CONCLUSIONS: Same-day surgery is a sign of the times, and the approach to it is changing. Healthcare systems need to be responsive to such changes. Although same-day surgery for breast cancer is not suitable for every patient, women undergoing this type of surgery should be assessed individually to determine whether it is appropriate for them. INTERPRETATION: Women undergoing breast cancer surgery should be screened for same-day surgery suitability. Those having same-day breast cancer surgery should be prepared adequately with timely education. Most importantly, such women should receive community health nursing follow-up for assessment, continuing education, and psychosocial support.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".