<p>The APEC Digital Hub-WONCA Collaborative Framework on Integration of Mental Health into Primary Care in the Asia Pacific</p>
Why this work is in the frame
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Bibliographic record
Abstract
Mental ill health affects individual well-being and national economic prosperity and makes up a substantial portion of the burden of disease globally, especially in the Asia-Pacific region. Integrating mental health into primary care is widely considered a key strategy to improve access to mental health care. Integration, however, is a complex process that needs to be addressed at multiple levels. A collaboration between the Asia-Pacific Economic Cooperation (APEC) Digital Hub for Mental Health and the World Organization of Family Doctors (WONCA) is described in this paper, which outlines a framework and next steps to improve the mental health of communities in APEC economies. This paper notes gaps related to the integration of mental health into primary care across the region and identifies enablers and current best practices from several APEC economies. The potential of digital technology to benefit primary mental health care for populations in the APEC region, including delivery of training programs for healthcare staff and access to resources for patients, is described. Finally, key next steps are proposed to promote enhanced integration into primary care and improve mental health care throughout the APEC region.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.000 | 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