Decision support for breast cancer screening decisions: A single case pre-/post-test study
Bibliographic record
Abstract
Canadian guidelines recommend shared decision making for women less than 50 years old who are considering breast cancer screening. Nurses can support women in making these decisions. This single case pre-/post-test study measured change in decisional conflict after decision support for a woman less than 50 years old considering whether or not to initiate mammography screening. At baseline, a 44-year-old female at average risk of breast cancer was experiencing decisional conflict. She scored 1 out of 4 on the SURE test indicating feeling uninformed, unclear values, and inadequate support. After receiving decision coaching with a breast cancer screening decision aid by a nurse trained in decision coaching, she scored 4 on the SURE test indicating no decisional conflict. She reached an informed decision consistent with her values about mammography screening. Providing decisional support improved her knowledge, reduced her decisional conflict, and enhanced her confidence in making an informed decision that was consistent with her values.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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".