Gender of the care environment: influence on recovery in women with heart disease.
Bibliographic record
Abstract
UNLABELLED: Women experience higher levels of distress than men (depression, anxiety, poor quality of life) after a first myocardial infarction. Sex differences in distress are not present in predominantly female diseases such as arthritis. This study explored the possibility that the predominantly male treatment environment for heart disease accounted for some of the sex differences in distress. METHODS: Men and women who had experienced a first-MI were asked to complete the Bem Sex Role Inventory (BSRI), a modified version of the Moos Ward Atmosphere Scale (WAS) and measures of illness intrusiveness, depression, anxiety and quality of life. Gender syntony was defined as a match between patient gender (BSRI) and the perceived gender of the treatment environment (WAS). RESULTS: Women experienced higher levels of distress than men and were more likely to experience discordance between their gender and the perceived gender of the care environment (73% of women versus 32% of men). The presence of gender dystony (a mismatch between gender and treatment environment) was related to higher levels of illness intrusiveness and overall distress. CONCLUSIONS: Modification of the heart disease treatment environment so that it better meets the needs of women may reduce sex differences in distress.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.003 | 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".