A Knowledge Transfer Study of the Utility of the Nova Scotia Seniors’ Mental Health Network in Implementing Seniors’ Mental Health National Guidelines
Bibliographic record
Abstract
BACKGROUND: The Canadian Coalition for Seniors' Mental Health (CCSMH) developed national best-practice guidelines in seniors' mental health. Promoting adoption of new guidelines is challenging, as paper dissemination alone has limited impact on practice change. PURPOSE: We hypothesized that the existing knowledge transfer (KT) mechanisms of the Nova Scotia Seniors' Mental Health Network would prove useful in transferring the CCSMH best-practice guidelines. METHODS: In this observational KT study, CCSMH best-practice guidelines were delivered through two interactive, case-based teaching modules on Depression & Suicide, and Delirium via a provincial tele-education program and local face-to-face sessions. Usefulness of KT was measured using self-report evaluations of material quality and learning. Evaluation results from the two session topics and from tele-education versus face-to-face sessions were compared. RESULTS: Sessions were well attended (N = 347), with a high evaluation return rate (287, 83%). Most participants reported enhanced knowledge in seniors' mental health and intended to apply knowledge to practice. Ratings did not differ significantly between KT session topics or modes of delivery. CONCLUSIONS: The KT mechanisms of a provincial seniors' mental health network facilitated knowledge acquisition and the intention of using national guidelines on seniors' mental health among Nova Scotian clinicians. Key elements of accelerating KT used in this initiative are discussed.
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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 | 0.015 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".