Perspectives of husbands of women with breast cancer: Information needs
Bibliographic record
Abstract
The majority of women, when diagnosed with breast cancer, turn to their partners for support. However, the diagnosis and treatment of this disease will have an impact on the partner as well and could influence his ability to be supportive. This study was undertaken to explore the perceived informational needs of male partners of women diagnosed with breast cancer. The in-depth interviews provide a rich description about the nature of men's informational needs in a context of upheaval and unexpected events. The 15 husbands in this study described information as important in their capacity to manage the situation. Three overarching themes were identified: the men had questions and concerns throughout the time period since the diagnosis, lack of information created difficulties for them, and health care professionals could be helpful. These men struggled to find relevant information and to sort out what was applicable to their own situation. They found little information specifically directed to partners. Assessment by cancer nurses ought to include the male partner's needs for information and his capacity to process information throughout the cancer experience.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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".