Quality of patient, family, caregiver and public engagement in decision-making in healthcare systems: a scoping review protocol
Bibliographic record
Abstract
INTRODUCTION: To advance person- and family-centred healthcare, government initiatives have supported the engagement of patients and family caregivers in decision-making in healthcare systems. There is, however, no consensus on how to define success for such initiatives. This scoping review aims to identify the key elements for defining the quality of patient and family caregiver engagement in decision-making across the engagement domains (individual, community/organisation, system) of British Columbia's healthcare system. We will use those elements to develop a conceptual evaluation framework. METHODS AND ANALYSIS: This scoping review follows Arskey and O'Malley's methodology. (1) The research question was identified through team discussions. (2) Articles for data source will be identified using a librarian-informed search strategy for seven bibliographic databases as well as grey literature sources. (3) Selected articles will be relevant to the evaluation of patient and family caregiver engagement in healthcare systems. (4) Two researchers will independently extract data into predefined and emerging categories. (5) The researchers will reconcile and organise the identified elements. The research team's collective perspective will then refine the elements, and select, interpret and summarise the results. (6) Persons from key stakeholder groups will be consulted to refine the emergent conceptual framework. ETHICS AND DISSEMINATION: We will seek ethics approval for the stakeholder consultation. This study follows an integrated knowledge translation approach. The results will inform evaluation of the Patients as Partners Initiative of the British Columbia Ministry of Health, and will be disseminated as a scientific article, a research brief, and presentations at conferences and stakeholder meetings.
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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 | 0.170 | 0.118 |
| Meta-epidemiology (narrow) | 0.005 | 0.006 |
| Meta-epidemiology (broad) | 0.010 | 0.013 |
| Bibliometrics | 0.028 | 0.024 |
| Science and technology studies | 0.007 | 0.008 |
| Scholarly communication | 0.011 | 0.009 |
| Open science | 0.007 | 0.009 |
| Research integrity | 0.010 | 0.007 |
| Insufficient payload (model declined to judge) | 0.044 | 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".