Collaborative partnerships: bridging the knowledge practice gap in client-centred care in mental health
Bibliographic record
Abstract
Purpose – The purpose of this paper is to describe a partnership, the Ryerson-Centre for Addiction and Mental Health Collaborative for Client-Centred and Family Sensitive Care Collaborative, between an urban university and tertiary care mental health facility to build capacity in using research evidence to support client-centred care. A cornerstone of the partnership was a study exploring the connection between effective interprofessional collaboration and the capacity to provide exemplary client-centred care in mental health. Design/methodology/approach – The Collaborative brings together organizations with shared values and a commitment to client-centred interprofessional care. It is a strategic approach in amplifying opportunities for the uptake of research evidence and knowledge transfer. One of the principal deliverables for the Collaborative was a multi-phased study exploring the relationship between team collaboration and client-centred care. Findings – Research findings identified a significant association between the level of team effectiveness and collaboration and the staffs’ perceived capacity to deliver client-centred care. Client and family member perspectives highlighted the importance of interprofessional team functioning and collaboration. The work of the Collaborative helped narrow the knowledge practice gap through: a research practicum to mentor graduate students; knowledge exchange and dissemination; and working with advanced practice staff to support change within the organization. Originality/value – Inter-organizational relationships, such as the Collaborative, support initiatives that accelerate the use of clinically relevant research and bridge the knowledge practice gap. A university/tertiary care teaching facility partnership represents a promising model for advancing and disseminating evidenced-based knowledge.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.016 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".