Children’s behavioral and mental health in primary care settings: A survey of self-reported comfort levels and practice patterns among pediatricians.
Bibliographic record
Abstract
INTRODUCTION: Despite the well-documented youth mental health crisis, there has been a lag in the development of a specialized workforce to meet needs of young people experiencing these challenges. Little is known about the comfort of primary care pediatricians when faced with children and adolescents with mental health care concerns. METHOD: A brief online survey was conducted to assess patterns of behavioral and mental health concerns in pediatric practices affiliated with a pediatric health system in Alabama. The survey asked about frequency of conditions that providers encountered, comfort treating these conditions, and frequency of external referrals. RESULTS: Pediatric providers reported high volumes of children with mental health concerns and varying levels of comfort treating independently. Providers frequently refer externally. CONCLUSIONS: High rates of referrals could further stress an already overloaded system of specialty care. Interventions must be implemented to ensure a workforce prepared to meet the growing needs of youth requiring support for mental and behavioral health conditions. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
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.
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) | 0.001 | 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".