Integration of pediatric mental health in general pediatrics in eritrea: improving access and collaboration
Bibliographic record
Abstract
Background: Recognition of mental health problems among children continues to be a diagnostic challenge especially in resource poor countries where integration of such services within the primary health care framework has not been fully successfully. Objective: To document the prevailing mental services among children in Eritrea Methods: prospective descriptive study on policies, practices and interventions targeted at improvement of mental health services among children in Eritrea. Results: The Pediatric Residency Programme established at Orotta School Postgraduate School of Medicine developed a curriculum which was sensitive to recognition and management of mental disorders among children. Of a total of 42 children with mental health disorders, one third had anxiety disorders, 30% had pervasive developmental disorders one quarter psychosomatic disorders and 10% had behaviour disorders predominantly attention deficit disorder. Two illustrative cases have been presented to highlight the challenges and the requisite solutions. Conclusion: The establishment of the Pediatric residency with a dedicated curriculum to address mental health services has contributed to the awareness and integration of such services with primary health care in Eritrea.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".