Women's views on chemoprevention of breast cancer: qualitative study.
Bibliographic record
Abstract
OBJECTIVE: To determine, in a family practice setting, women's views on incentives for and barriers to taking chemopreventive therapy for breast cancer. DESIGN: Descriptive, qualitative study using in-depth semistructured interviews. SETTING: Women's College Family Practice Health Centre, an academic centre in Toronto, Ont. PARTICIPANTS: THREE GROUPS OF WOMEN WERE RECRUITED: women who might in future be candidates for chemoprevention, women who were then candidates for chemoprevention, and then-current participants in the Study of Tamoxifen and Raloxifene (STAR) chemoprevention trial. METHOD: Women were asked about their views on taking a pill to prevent breast cancer, their hopes and expectations regarding chemoprevention, incentives for and barriers to accepting chemopreventive therapy, and their preferred sources of information. Visual analogue scales were used to estimate perceived risk of breast cancer and personal interest in chemoprevention. Participants' Gail scores, perceptions of risk of breast cancer, perceptions of likelihood of accepting chemopreventive treatment, attitudes, views, and experiences were recorded. MAIN FINDINGS: The 27 women interviewed (median age 61 years, range 38 to 77) had a mean Gail score of 3.3 (indicating a 3.3% estimated risk of breast cancer within the next 5 years), range 1.4 to 6.8. Women were very interested in chemoprevention (62% to 67% likelihood of their taking it in the next 5 years). Perceived risk of breast cancer was not correlated with actual risk or with likelihood of taking chemopreventive therapy. To accept chemoprevention, women needed to know it would lead to an acceptable decrease in risk of breast cancer and needed more information about the medication. Incentives for acceptance included clear evidence of efficacy, prevention of cancer, altruism (contributing to an important area of research), secondary gain, and the feeling of being proactive and in control. Barriers included fear of side effects, lack of information, denial, aversion to medication, the term "chemoprevention," and the effect of the "HRT fiasco." Women's most trusted information source was their family physicians. Women overestimated their risk of breast cancer. CONCLUSION: Women were interested in chemoprevention, but required more information, preferably from their family physicians. Our data suggest that at least 4 conditions must be met for women to accept chemopreventive therapy. They must believe in its effectiveness, be proactive about their health care, believe side effects will be tolerable, and be able to overcome the fear of ingesting a pill. To make the therapy more acceptable, the term "chemoprevention" should be discontinued.
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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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".