Employment Concerns and Associated Impairments of Women Living With Advanced Breast Cancer
Bibliographic record
Abstract
OBJECTIVE: To describe the clinical and personal factors associated with work status, distress regarding work status, and the desire to resume employment and receive help to address work challenges reported by women living with advanced breast cancer. DESIGN: Descriptive statistics and univariate and multivariate logistic regression were used to explore factors related to employment challenges in this secondary analysis of an existing dataset. SETTING: Participants were recruited from an outpatient oncology clinic specializing in breast cancer at a free-standing comprehensive cancer center. PARTICIPANTS: English-speaking women older than 18 years living with metastatic breast cancer with intact mental status and Karnofsky Performance Scale scores between 40 and 90 (N=163). INTERVENTION: Not applicable. MAIN OUTCOME MEASURES: Dependent variables included (1) continued employment if working at the time of cancer diagnosis; (2) interest in resuming employment if working at the time of cancer diagnosis and now no longer working; (3) distress regarding vocational limitations; and (4) interest in receiving help to resume work. RESULTS: values<.01). CONCLUSIONS: With more people living longer with metastatic cancer, there is a need to assess and support survivors' desire and capacity to maintain employment. Participants' reduced employment was strongly associated with potentially actionable clinical targets (ie, higher symptom burden and lower functional status) that fall within cancer rehabilitation's mission.
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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 | 0.000 | 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) | 0.000 | 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".