Coordination of cancer care between family physicians and cancer specialists: Importance of communication.
Bibliographic record
Abstract
OBJECTIVE: To explore health care provider (HCP) perspectives on the coordination of cancer care between FPs and cancer specialists. DESIGN: Qualitative study using semistructured telephone interviews. SETTING: Canada. PARTICIPANTS: A total of 58 HCPs, comprising 21 FPs, 15 surgeons, 12 medical oncologists, 6 radiation oncologists, and 4 GPs in oncology. METHODS: This qualitative study is nested within a larger mixed-methods program of research, CanIMPACT (Canadian Team to Improve Community-Based Cancer Care along the Continuum), focused on improving the coordination of cancer care between FPs and cancer specialists. Using a constructivist grounded theory approach, telephone interviews were conducted with HCPs involved in cancer care. Invitations to participate were sent to a purposive sample of HCPs based on medical specialty, sex, province or territory, and geographic location (urban or rural). A coding schema was developed by 4 team members; subsequently, 1 team member coded the remaining transcripts. The resulting themes were reviewed by the entire team and a summary of results was mailed to participants for review. MAIN FINDINGS: Communication challenges emerged as the most prominent theme. Five key related subthemes were identified around this core concept that occurred at both system and individual levels. System-level issues included delays in medical transcription, difficulties accessing patient information, and physicians not being copied on all reports. Individual-level issues included the lack of rapport between FPs and cancer specialists, and the lack of clearly defined and broadly communicated roles. CONCLUSION: Effective and timely communication of medical information, as well as clearly defined roles for each provider, are essential to good coordination of care along the cancer care trajectory, particularly during transitions of care between cancer specialist and FP care. Despite advances in technology, substantial communication challenges still exist. This can lead to serious consequences that affect clinical decision making.
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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 | 0.012 | 0.031 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".