Feasibility and Acceptability of a Pediatric Primary Care Physician Training for Anxiety Screening and Evidence-based Intervention
Bibliographic record
Abstract
Anxiety is one of the most prevalent psychological conditions in the pediatric population, and its associated impairments often persist into adulthood. Pediatricians are in a unique position to screen, briefly intervene, and facilitate treatment to prevent long-term impacts. However, they often do not have adequate training to do so. The current study addressed this gap by providing a brief online educational workshop aimed to promote: (1) screening for anxiety and (2) follow-up with appropriate evidence-based interventions. Fifty-three providers participated, and 38 completed surveys pre- and post-training. Findings indicate acceptability of the training to providers, improved knowledge related to anxiety, and increased readiness to manage anxiety during a medical visit. This study supports the utility of a brief, online training on screening and provision of evidence-based treatment for anxiety in pediatric primary care.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 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".