Emergency Department Use and Postvisit Care for Anxiety and Stress Disorders Among Children
Bibliographic record
Abstract
OBJECTIVE: We examined sociodemographic trends in emergency department ED visits and postvisit health care for anxiety and stress disorders. METHODS: Emergency department visits (N = 11,289) by children younger than 18 years were extracted from population-based administrative databases from Alberta, Canada (2002-2011). We examined health services use by demographics and socioeconomic proxy (First Nations status, family subsidy type: government, human services program, none). We calculated visit rates and described physician visits after discharge (n = 8075 children). Multivariable survival analyses (with 95% confidence intervals [CIs]) estimate time to first physician visit and ED return. RESULTS: During 2002-2011, visit rates increased by age, First Nations, and subsidy status. The largest increase was for children (all ages) from families receiving government subsidy (491.43/100,000, P < 0.001). Thirty days after an index visit, most physician follow-up visits were made by children aged 15 to 17 years (61.0%) and from families receiving no subsidy (66.5%). The median time to physician follow-up for First Nations children was 32 days (95% CI, 27-37) compared with 19 days for children from families receiving government subsidy whose median time was shortest (95% CI, 18-23). Children (all ages) in the government and human services program subsidy groups and those who had First Nations status returned earlier to the ED compared with children in the no subsidy group. CONCLUSIONS: Adolescents had high ED use and physician follow-up, whereas First Nations children and those from families receiving subsidy (all ages) had high ED use and low physician follow-up. Efforts to improve disorder identification and treatment among high ED user groups and low physician follow-up user groups are needed.
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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 | 0.000 | 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) | 0.001 | 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".