Integrated knowledge translation in mental health: family help as an example.
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: To describe and provide an example of integrated knowledge translation. METHODS: We review the elements of integrated knowledge translation and describe the Family Help Program, a distance treatment program for child mental health as an example of integrated knowledge translation. RESULTS: Family Help, a distance treatment program for child mental health, was developed with a grant from the Canadian Institutes of Health Research (CIHR). One of the requirements of the grant was involvement of community partners. This partnership resulted in a form of integrated knowledge translation (KT). To be successful, integrated KT requires the engagement of all partners and maintenance of mutual respect. The grant met its objectives and several distance treatments for child mental health were developed and evaluated. Integrated KT was effective in supporting the transfer of this research project into clinical practice and Family Help is now employed in several collaborating health districts. CONCLUSION: Integrated KT in the early phases of research has significant advantages when the purpose is inclusion of key stakeholders' (e.g. decision makers and consumers) knowledge to yield an effective product and facilitate uptake into clinical practice.
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.
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 | 0.004 | 0.000 |
| 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 | 0.000 |
| 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 it