Patient-oriented research– it’s personal: two BC SUPPORT unit patient partners sharing their journey in patient-oriented research
Bibliographic record
Abstract
Patient-oriented research is becoming an established way of healthcare research in Canada. It is supported by the Strategy for Patient-oriented Research (SPOR), launched by the Canadian Institutes of Health Research. One core element of SPOR is the SUpport for People and Patient-oriented Research and Trials (SUPPORT) Units, which is tasked to promote and facilitate patient-oriented research across provinces and territories in the country. Under the strategy, patient partners are welcomed and engaged as equal team members from the beginning to the very end of health research projects to share their lived experience with a medical condition and their interactions with healthcare systems. In this Commentary, two patient partners reflect on how they worked hand-in-hand with the BC SUPPORT Unit to co-develop activities to support patient-oriented research. This was achieved through mutual understanding, building trust, and staying true to SPOR values. Through a variety of roles - including serving on committees and working groups, initiating research projects, and participating in knowledge translation activities like webinars and conferences, the patient partners and the Unit grew stronger together. This commentary exemplifies how a national health research strategy can foster alliances, where individuals within an organization encourage and empower each other to drive progress in health research. Patient-oriented research is becoming an established mode of healthcare research in Canada. It is supported by the Strategy for Patient-oriented Research (SPOR), launched by the Canadian Institutes of Health Research. One core element of SPOR is the SUpport for People and Patient-oriented Research and Trials (SUPPORT) Units, which is tasked to promote and facilitate patient-oriented research across provinces and territories in the country. Under the strategy, patient partners are welcomed and engaged as equal team members from the beginning to the very end of health research projects to share their lived experience with a medical condition and their interactions with healthcare systems. In this Commentary, two patient partners reflect on how they worked hand-in-hand with the BC SUPPORT Unit to co-develop activities to support patient-oriented research. This was achieved through mutual understanding, building trust, and staying true to SPOR values. Through a variety of roles - including serving on committees and working groups, initiating research projects, and participating in knowledge translation activities like webinars and conferences, the patient partners and the Unit grew stronger together. This commentary exemplifies how a national health research strategy can foster alliances, where individuals within an organization encourage and empower each other to drive progress in health research.
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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 | 0.046 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.008 | 0.005 |
| Science and technology studies | 0.010 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.002 | 0.035 |
| Insufficient payload (model declined to judge) | 0.004 | 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; both teacher heads agree on what is shown here.
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".