Impact of a breast cancer care RN-coordinator program on patients’ distress level
Bibliographic record
Abstract
The purpose of this study was to determine whether patients receiving navigation supportive care from a Breast Cancer Care Coordinator (BCCC), prior to initial oncology consultation at a British Columbia Cancer Agency, Abbotsford Centre (BCCA-AC), demonstrated different levels of anxiety and depression from those not receiving such support at the same BCCA centre. A retrospective review of the Psychological Screen for Cancer (PSSCAN) scores of new breast cancer patients seen for oncology consultation for the control cohort (receiving usual care) were compared to PSSCAN scores of those who had received care from a BCCC prior to the oncology consultation (the study cohort). A total of 91 PSSCANs were reviewed in the study, with 54 belonging to the treatment group and 37 to the control group. PSSCAN scores for anxiety and depression did not show significant differences between the two groups.
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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 | 0.000 | 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) | 0.001 | 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".