Tough choices: A preliminary evaluation of an intervention to support decision making about prophylactic mastectomy
Bibliographic record
Abstract
The purpose of this pilot study was to evaluate an intervention to support informed decision making about prophylactic mastectomy (PM) by high‐risk women. As no relevant PM decision support interventions were identified, we developed a booklet and counseling session, based on the Ottawa Decision Support Framework. In the study's first phase, five women who requested information about PM received a copy of the booklet, followed by a tape‐recorded counseling session with an oncology nurse to clarify information in the booklet and help women to identify relevant values, family issues, and other related concerns. Follow‐up telephone interviews were conducted to obtain women's feedback on the intervention. The study's second phase is assessing the feasibility of recruiting eligible women and of implementing the research protocol, with seven participants to date. The intervention shows promise in that it is acceptable to women and feasible to incorporate into specialized clinic settings. Based on these findings, a multisite evaluation of this PM decision support intervention is planned.
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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 | 0.006 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".