Towards Integrating Primary Care with Cancer Care: A Regional Study of Current Gaps and Opportunities in Canada
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: Better integration between cancer care systems and primary care physicians (PCPs) is a goal of most healthcare systems, but little direction exists on how this can be achieved. This study systematically examined the extent of integration between PCPs and a regional cancer program (RCP) to identify opportunities for improvement. METHOD: Cross-sectional survey of all practising PCPs in the region of interest using a study-specific instrument based on a three-tier conceptualization of integration. RESULTS: Among the 473 PCPs who responded (63% response rate), perceived role clarity and the desire for greater involvement in patient care varied across the care trajectory. Specific gaps were identified in PCPs' understanding of the referral process and patient follow-up after treatment. CONCLUSION: Our novel survey of PCPs explicated the strategies that could improve their integration in cancer care, including mechanisms to support PCPs in the initial diagnosis of their patients and standardized post-treatment transition plans outlining care roles and responsibilities.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| 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".