How patient acceptability affects access to breast reconstruction: a qualitative study
Bibliographic record
Abstract
OBJECTIVES: There has been limited research on the acceptability of breast reconstruction (BR) to breast cancer patients. We performed interviews to explore breast cancer patients' acceptability of BR. DESIGN: Qualitative study. SETTING: Recruitment from six Ontario hospitals across the province (Toronto, Ottawa, Hamilton, London, Thunder Bay and Windsor) as well as key breast cancer organisations between November 2017 and June 2018. PARTICIPANTS: Women of any age with a diagnosis of breast cancer planning to undergo or having undergone a mastectomy with or without BR. INTERVENTION: Sixty-minute semi-structured interviews were analysed using qualitative descriptive methodology that draws on inductive thematic analysis. OUTCOME: In the telephone interviews, participants discussed their experience with breast cancer and accessing BR, focusing on the acceptability of BR as a surgical option post-mastectomy. RESULTS: Of the 28 participants, 11 had undergone BR at the time of the interview, 5 at the time of mastectomy and 6 at a later date. Four inter-related themes were identified that reflected women's evolving ideas about BR as they progressed through different stages of their disease and treatment. The themes we developed were: (1) cancer survival before BR, (2) the influence of physicians on BR acceptability, (3) patient's shift to BR acceptance and (4) women's need to justify BR. For many women, access to BR surgery became more salient over time, thus adding a temporal element to the existing access framework. CONCLUSION: In our study, women's access to BR was negatively influenced by the poor acceptability of this surgical procedure. The acceptability of BR was a complex process taking place over time, from the moment of breast cancer diagnosis to BR consideration. BR access may be improved through enhancing patient acceptability of BR. We suggest adapting the current access to care frameworks by further developing the concept of acceptability.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".