Optimising patient active role with a user-centred eHealth platform (CONCERTO+) in chronic diseases management: a study protocol for a pilot cluster randomised controlled trial
Bibliographic record
Abstract
INTRODUCTION: Multimorbidity increases care needs and primary care use among people with chronic diseases. The Concerto Health Program (CHP) has been developed to optimise chronic disease management in primary care services. However, in its current version, the CHP primarily targets clinicians and does not aim to answer directly patients' and their informal caregivers' needs for chronic disease management. Various studies have shown that interventions that increase patient activation level are associated with better health outcomes. Furthermore, educational tools must be adapted to patients and caregivers in terms of health literacy and usability. This project aims to develop, implement and evaluate a user-centred, multifunctional and personalised eHealth platform (CONCERTO+) to promote a more active patient role in chronic disease management and decision-making. METHODS AND ANALYSIS: This project uses a collaborative research approach, aiming at the personalisation of CHP through three phases: (1) the development of one module of an eHealth platform based on scientific evidence and user-centred design; (2) a feasibility study of CONCERTO+ through a pilot cluster randomised controlled trial where patients with chronic diseases from a primary healthcare practice will receive CONCERTO+ during 6 months and be compared to patients from a control practice receiving usual care and (3) an analysis of CONCERTO+ potential for scaling up. To do so, we will conduct two focus groups with patients and informal caregivers and individual interviews with health professionals at the two study sites, as well as health care managers, information officers and representatives of the Ministry of Health. ETHICS AND DISSEMINATION: This study received ethical approval from Ethics Committee of Université Laval. The findings will be used to inform the effectiveness of CONCERTO+ to improve management care in chronic diseases. We will disseminate findings through presentations in scientific conferences and publication in peer-reviewed journals. TRIAL REGISTRATION NUMBER: NCT03628963; Pre-results.
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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 | 0.051 | 0.043 |
| Meta-epidemiology (narrow) | 0.004 | 0.003 |
| Meta-epidemiology (broad) | 0.009 | 0.005 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.007 | 0.006 |
| Insufficient payload (model declined to judge) | 0.057 | 0.011 |
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".