Anxiety and support in breast cancer: is this different for affluent and deprived women? A questionnaire study
Bibliographic record
Abstract
A postal questionnaire was sent to affluent and deprived women with breast cancer in order to compare psychosocial aspects of care with the purpose of understanding the balance of care and explaining why deprived women have poorer outcomes. Data were collected regarding reported sources of information, SF-36 scores and ongoing causes of anxiety. The results demonstrate that affluent women were more likely to have received information from their hospital specialist (94.8 vs 76.0%) and from a breast care nurse (70.1 vs 40.0%) than deprived women. They were also more likely to have received information from magazines (50.6 vs 33.0%), newspapers (45.5 vs 22.0%) and television news (45.5 vs 26.0%). Deprived women had poorer SF-36 scores than affluent women, and reported greater anxiety about money (12.2 vs 2.8%), other health problems (22.1 vs 8.2%) and family problems (17.5 vs 6.9%). Personal and professional support is clearly important for patients with breast cancer. Health professionals need to be aware of the greater psychological distress demonstrated by deprived women, even some years after diagnosis with breast cancer, and seek to address it.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".