Bibliographic record
Abstract
The need for mental health care services is a growing concern around the world. This article proposes a conceptual model for the role a mental health care navigator to meet the growing needs of consumers who are seeking greater access to fragmented and confusing mental health care services. This conceptual model proposes integrating mental health into primary care with a more patient-centered approach to the care of the whole person. This approach is congruent with The Ottawa Charter for Health Promotion Charter calling for the reorienting of health services focusing on the total needs of the individual as a whole person. Although USA focused, the model has potential for sharing across countries to build capacity for mental health care in other countries around the world. The conceptual model focuses on matching consumer mental health care needs with the correct mental health care services. This would ensure that patients get the appropriate mental health care services while allowing the primary care physician to maintain the role of coordinator of care for all of the patient's health care needs. The main intent of the model is to stimulate discussion and exploration around the role of a proposed mental health care navigator that can lead to creating models reflecting local need and adaptation. Successful models can lead to collaborative discussion encouraging capacity building in other countries. The authors maintain that coordination of health care, including mental, medical and surgical care, is the best approach to controlling costs and ensuring the health of the whole person.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.021 | 0.003 |
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 source (direct Gemma or distilled Codex), 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".