PP04 Co-Constructing Recommendations With Patients And Health Professionals
Bibliographic record
Abstract
Introduction: Decision-making about replacement or modification of an implantable cardioverter defibrillator (ICD) must be patient-centered and clinically appropriate. We engaged both patients and health care professionals in a multi-method approach in order to recommend structures and processes that facilitate informed and shared decision-making. Methods: A systematic literature review (2000 to 2017) was performed focusing on the patient's perspective and the optimal organization of structures and processes for decision-making. A province-wide field evaluation based on medical chart review was carried out to provide ‘real world’ evidence in Québec's six ICD implanting centers (1 July to 31 December, 2016; N = 418). Patients and health care professionals reviewed the findings of the review and field evaluation, and deliberated recommendations in an anonymous manner by electronic mail. A joint meeting focused on proposed recommendations concerning shared decision-making. Results: The patients provided feedback on the literature review based on their ICD experience, and highlighted the need for better and more interactive decision aids, clinical information and time, and a private space for sensitive discussions. The field evaluation underlined the variability of treatment choices at the time of replacement and that more than one in ten patients had undergone ICD deactivation. Proposed recommendations focus on multi-disciplinary, integrated follow-up of patients and outline best practice for incorporating patient wishes and life objectives when discussing treatment options. The multi-round consultation process allowed both patients and professionals to co-construct recommendations with our evaluation team. Conclusions: This multi-method approach enriched our interpretation of literature and ‘real world’ data and facilitated identification and prioritization of important themes. Partnership with both patients and clinicians added a new and energizing dynamic to our evaluation and recommendation processes. We acknowledge the contribution of the members of the patient committee and the clinical experts committee.
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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 | 0.172 | 0.314 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.004 | 0.008 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.014 | 0.004 |
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".