Improving the Transition From Oncology to Primary Care Teams: A Case for Shared Leadership
Bibliographic record
Abstract
This article discusses the case of a 47-year-old woman who underwent primary therapy with curative intent for breast cancer. The case illustrates a number of failure events in transferring information and responsibility from oncology to primary care teams. The article emphasizes the importance of shared leadership, as multiple team members, dispersed in time and space, pursue their own objectives while achieving the common goal of coordinating care for survivors of cancer transitioning across settings. Shared leadership is defined as a team property comprising shared responsibility and mutual influence between the patient and the patient's family, primary care providers, and oncology teams, whereby they lead each other toward quality and safety of care. Teams, including the patient-family, should achieve leadership when their contribution is relevant in managing task interdependence during transition. Shared leadership fosters coordinated actions to enable functioning as an integrated team-of-teams. This article illustrates how shared leadership can make a difference to coordinate interfaces and pathways, from therapy with curative intent to the follow-up and management of survivors of breast cancer. The detailed case is elaborated as a clinical vignette. It can be used by care providers and researchers to consider the need for new models of care for survivors of cancer by addressing the following questions. Who accepts shared leadership, how, with whom, and under what conditions? What is the evidence that supports the answers to these questions? The detailed case is also valuable for medical and allied health professional education.
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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 | 0.008 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.028 | 0.019 |
| Scholarly communication | 0.008 | 0.009 |
| Open science | 0.003 | 0.015 |
| Research integrity | 0.008 | 0.020 |
| Insufficient payload (model declined to judge) | 0.003 | 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".