Meaningful engagement through critical reflexivity: Engaging people with lived experience in continuing mental health professional development
Bibliographic record
Abstract
Engaging people with lived experience of mental health system encounters in the design and actualization of continuing professional development initiatives for mental health professionals can have transformative systemic impacts. Yet, despite evidence that involving people with lived experience benefits mental health professional education, far less focus has been placed on how to engage people with lived experience in continuing professional development initiatives. Tensions persist regarding the role of lived experience perspectives in continuing professional development, as well as how to establish people with lived experience as partners, educators and leaders in a thoughtful way. We propose that meaningful and equitable partnerships with people with lived experience can be realized by engaging in critical reflexivity and by systematically challenging assumptions. This paper explores three topics: (1) the current state of engagement with people with lived experience in continuing professional development initiatives; (2) barriers to meaningful engagement and (3) recommendations for using critical reflexivity to support the involvement and leadership of people with lived experience in continuing professional development for mental health professionals. PATIENT OR PUBLIC INVOLVEMENT: This viewpoint manuscript was co-designed and co-written by people with diverse lived and learned experiences. Each author's professional roles involve meaningfully and equitably partnering with and centring the perspectives of those with lived experience of mental health system encounters. In addition, approximately half of the authorship team identifies as having lived experience of accessing the psychiatric system and/or supporting family members who are navigating challenges related to mental health. These lived and learned experiences informed the conception and writing of this article.
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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 | 0.088 | 0.118 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.016 | 0.058 |
| Scholarly communication | 0.026 | 0.023 |
| Open science | 0.004 | 0.033 |
| Research integrity | 0.007 | 0.013 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".