A qualitative study on the ethics of transforming care: examining the development and implementation of Canada’s first mental health strategy
Bibliographic record
Abstract
BACKGROUND: The Mental Health Commission of Canada worked collaboratively with stakeholders to create a new framework for a federal mental health strategy, which is now mandated for implementation by 2017. The proposed strategies have been written into provincial health plans, hospital accreditation standards, and the annual objectives of psychiatric departments and community organizations. This project will explore the decision-making process among those who contributed to Canada's first federal mental health policy and those implementing this policy in the clinical setting. Despite the centrality of ethical reasoning to the successful uptake of the recent national guidelines for recovery-oriented care, to date, there are no studies focused exclusively on the ethical tensions that emerged and continue to emerge during the creation and implementation of the new standards for recovery-oriented practice. METHODS/DESIGN: This two-year Canadian Institute of Health Research Catalyst Grant in Ethics (2015-2017) consists of three components. C-I, a retrospective, qualitative study consisting of document analysis and interviews with key policy-makers of the ethical tensions that arose during the development of Canada's Mental Health Strategy will be conducted in parallel to C-II, a theory-based, focused ethnography of how mental health practitioners in a psychiatric setting reason about and act upon new standards in everyday practice. Case-based scenarios of ethical tensions will be developed from C-I/II and fed-forward to C-III: participatory forums with policy-makers, mental health practitioners, and other stakeholders in recovery-oriented services to collectively identify and prioritize key ethical concerns and generate action steps to close the gap between the policy-making process and its implementation at the local level. DISCUSSION: Policy-makers and clinicians make important everyday decisions that effect the creation and implementation of new practice standards. Particularly, there is a need to understand how ethical dilemmas that arise during this decision-making process and the reasoning and resources they use to resolve these tensions impact on the implementation process. This catalyst grant in ethics will (1) introduce a novel line of inquiry focusing on the ethical tensions that arose in the development of Canada's first mental health strategy, while (2) intensifying our focus on the ethical aspects of moving policy into action.
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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 | 0.031 | 0.044 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.044 | 0.035 |
| Scholarly communication | 0.011 | 0.005 |
| Open science | 0.004 | 0.008 |
| Research integrity | 0.004 | 0.009 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".