Patient-Centred Innovations for Persons with Multimorbidity: funded evaluation protocol
Bibliographic record
Abstract
BACKGROUND: The high prevalence of multimorbidity necessitates rethinking of the health care system. The overarching goal of the Patient-Centred Innovations for Persons with Multimorbidity program is to build on existing structures and find and evaluate patient-centred innovations relevant to multimorbidity. METHODS: We describe the protocol for a proposed multijurisdictional (Quebec and Ontario) concurrent triangulation mixed-methods study. In both provinces, a qualitative descriptive study will be used to explore innovations in patient-centred multimorbidity care. Two randomized controlled trials, 1 in either province, will evaluate the innovations in a wait-list-controlled design using patient-reported outcomes. An additional control group, matched on age, sex, enrolment/index date (± 3 mo) and propensity score, will be created with the use of health administrative data. Patients will be 18-80 years of age and will have 3 or more chronic conditions. The innovations will have elements of relevance to multimorbidity care, patient-centred partnerships and integration of care. The primary outcome measures will be 2 patient-reported outcomes: patient education and self-efficacy. Secondary outcomes will include patient-reported health status, quality of life, psychological distress and health behaviours, and costs of care. INTERPRETATION: ClinicalTrials.gov, no NCT02789800 (Quebec Trial), NCT02742597 (Ontario Trial).
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".