Caring for Survivors of Breast Cancer: Perspective of the Primary Care Physician
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: Increasing numbers of women are surviving breast cancer, and survivorship care is becoming more complex. Primary care physicians provide care for most survivors of breast cancer in the Canadian province of British Columbia. The present study offers insight into the confidence of primary care physicians in their abilities to provide such care. It also explores potential ways to assist those providers in enhancing this aspect of their practice. METHODS: A questionnaire was mailed to 1000 primary care physicians caring for survivors of breast cancer. The questionnaire explored the perspectives of the responding physicians on their ability to manage various aspects of survivorship care for breast cancer patients, identified preferences for the content and format of communication from oncologists at the time of transition from active oncology treatment to survivorship, and determined the means most commonly used to obtain knowledge about breast cancer. This 1-page, 31-item checkbox and open-answer questionnaire assessed the perceptions of primary care physicians about the care of breast cancer survivors after completion of active treatment and their personal preferences for resources providing information about breast cancer. RESULTS: The questionnaire response rate was 59%. Primary care physicians reported being most confident in screening for recurrence and managing patient anxiety; they were least confident in managing lymphedema and providing psychosocial counselling. Compared with physicians following fewer survivors of breast cancer, those who followed more breast cancer survivors had higher confidence in managing the biomedical aspects of follow-up and in providing counselling about nutrition and exercise. Most physicians found discharge letters from oncologists to be useful. Point-form discharge information was preferred by 43%; detailed description, by 19%; and both formats, by 38%. The most useful information items identified for inclusion in a discharge letter were a diagnosis and treatment summary and the recommended surveillance and endocrine therapy. Continuing medical education events and online resources were the means most commonly used to obtain knowledge about breast cancer. CONCLUSIONS: Primary care physicians who provide follow-up for survivors of breast cancer report that they are confident in managing care and satisfied with discharge letters containing a diagnosis and treatment summary, and recommendations for surveillance and endocrine treatment. At the time of patient discharge, additional information about common medical and psychosocial issues in this patient population would be useful to primary care physicians. Preferred means to access current breast cancer information include continuing medical education events and online resources.
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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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".