The Patient-as-Partner Approach in Health Care
Bibliographic record
Abstract
The prevalence of chronic diseases today calls for new ways of working with patients to manage their care. Although patient-centered approaches have contributed to significant advances in care and to treatments that more fully respect patients’ preferences, values, and personal experiences, the reality is that health care professionals still hold a monopoly on the role of healer. Patients live with their conditions every day and are experts when it comes to their own experiences of illness; this expertise should be welcomed, valued, and fostered by other members of the care team. The patient-as-partner approach embodies the ideal of making the patient a bona fide member of the health care team, a true partner in his or her care. Since 2010, the University of Montreal, through the Direction of Collaboration and Patient Partnership, has embraced this approach. Patients are not only active members of their own health care team but also are involved in research and provide valuable training to health sciences students. Including patients as full partners in the health care team entails a significant shift in both the medical practice and medical education cultures. In this perspective, the authors describe this innovative approach to patient care, including the conceptual framework used in its development and the main achievements of patient partners in education, health care, and research.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".