Exploring resources for intrafamilial communication of cancer genetic risk: we still need to talk
Bibliographic record
Abstract
While the importance of intrafamilial communication of hereditary cancer risk has been acknowledged, the factors that promote and act as barriers to patients disclosing their information to their families are complex and emerging. This raises the question: How are patients guided in practice to contemplate intrafamilial communication? Focusing on breast cancer, we conducted an exploratory study examining current resources supporting patients and health-care professionals, and isolated the messages surrounding intrafamilial communication of cancer risk. We find the duty for health-care professionals to counsel patients regarding intrafamilial communication is acknowledged to varying degrees by multiple actors in the cancer care delivery landscape, including health-care professional associations, health service organizations, and patient groups. A range of medical, psychosocial, and other factors underlying intrafamilial communication are acknowledged in messages to patients. Patients, however, are often referred to a single group of health-care professionals to discuss their diverse and complex needs. At the same time, messages aimed at patients appear to place the emphasis on barriers that could exist for patients contemplating intrafamilial communication, while highlighting the benefits families derive from such communication. Taken together, this points to a lack of coherence within materials directed to patients and suggests the need to do coordinated research among stakeholders to address two related issues: (1) determining who are the actors best positioned to send messages surrounding intrafamilial communication to patients and (2) addressing the content of messages conveyed in patient materials.
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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 | 0.023 | 0.048 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.007 | 0.006 |
| Scholarly communication | 0.010 | 0.012 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".