Who Is Responsible? The Role of Family Physicians in the Provision of Supportive Cancer Care
Bibliographic record
Abstract
PURPOSE: Patients living with cancer identify family physicians (FPs; ie, primary care physicians) as a preferred resource for supportive cancer care (SCC), either through direct provision or referral. However, little research exists on the specific role FPs play in addressing these needs. METHODS: A mailed survey was sent to all FPs in a health care region in Ontario, Canada, to determine their current and preferred roles in the specific provision of SCC to patients with cancer who have been newly diagnosed or are at the end of life. RESULTS: Completed surveys were received from 84 (64%) of 183 eligible FPs. Most practitioners reported providing for their patients' various SCC needs. However, clear gaps were demonstrated in psychosocial and nutritional counseling and in providing information about SCC services. FPs were satisfied with their current role reported in SCC coordination, although the type of role varied; FPs who were asked about their end-of-life patients tended to see themselves as part of coordinating teams, whereas FPs asked about their recently diagnosed patients were more likely to defer this responsibly to a third party. CONCLUSION: This study identified gaps in the provision of psychosocial and informational care to patients with cancer that may result in unmet needs. In general, FPs do not see themselves as primarily responsible for coordinating patients' SCC and do not wish to assume this role. Accordingly, models that involve FPs as team members in SCC coordination are more feasible for reducing patient need.
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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 | 0.004 | 0.024 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".