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Record W4414980161 · doi:10.1177/26320770251359606

Engaging People With Lived Experience in Mental Health Service Co-design in Ontario, Canada

2025· article· en· W4414980161 on OpenAlexaffabout
Laura Jane Brubacher, Kobisha Rajeswaran, Katie McDonald, Steve Keczem, Warren Dodd

Bibliographic record

VenueJournal of Prevention and Health Promotion · 2025
Typearticle
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsRegional Municipality of WaterlooUniversity of Waterloo
Fundersnot available
KeywordsFocus groupMental healthQualitative researchService providerService (business)Participant observationLived experienceData collection

Abstract

fetched live from OpenAlex

This research examined the process of engaging people with lived and living experience (PWLE) of mental health and substance use concerns in the co-design of a mental health service in Ontario, Canada known as an Alternate Destination Clinic (ADC). Specific objectives were to: (a) to explore the experiences of PWLE within a community-led health service co-design process; and (b) to identify lessons learned for engagement of PWLE that can be applied to future health service co-design processes. Using qualitative descriptive methodology, from March to April 2024, focus groups were conducted with organizational staff ( n = 2 focus groups) and semi-structured interviews ( n = 17 total) with service providers ( n = 11) and PWLE ( n = 6) involved in the ADC co-design process. Data collection focused on participant experiences and observations with respect to the participation of PWLE. Data were analyzed using content analysis, informed by the Bee et al. framework for service user-involved care planning. Participants emphasized organizational recruitment efforts, the co-design committee’s structure, and how roles were designed and communicated as factors that affected PWLE experiences. Lessons learned include a need for diverse recruitment practices, the provision of appropriate training to service providers (i.e., on trauma-informed care, language use), and the importance of empowering PWLE to develop and hold key decision-making roles within co-design processes. Findings point to the integration of individual, relational, and organizational factors in shaping the experience of PWLE in the service co-design process, and collaboration dynamics overall.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.154
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.288
GPT teacher head0.470
Teacher spread0.182 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes2
Has abstractyes

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