Breast Cancer Survivor Symptoms: A Comparison of Physicians’ Consultation Records and Nurse-Led Survivorship Care Plans
Bibliographic record
Abstract
BACKGROUND: Survivorship care plans (SCPs) have been used to address ongoing health problems associated with the diagnosis and treatment of early-stage breast cancer. OBJECTIVES: The aim of this article was to determine whether nurse-led consultations using SCPs, as compared with a standard medical consultation, identify more side effects and supportive care needs and lead to appropriate referral patterns. METHODS: The study audited 160 retrospective medical clinic and nursing SCP records in a sample of patients receiving treatment for early-stage breast cancer at a tertiary-level breast service in Australia. FINDINGS: Breast care nurses (BCNs) undertaking SCPs at a nurse-led consultation were significantly more likely than physicians to record symptoms related to menopausal/hormonal therapy, psychosocial/mental health, lifestyle, bone health, and sexuality. BCNs were also significantly more likely to refer patients for concerns related to psychosocial/mental health, lifestyle, and sexuality.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".