Visits to Alberta Emergency Departments for Child Mental Health Concerns During the COVID-19 Pandemic
Bibliographic record
Abstract
OBJECTIVE: We examined emergency department (ED) mental health visit trends by children in relation to periods of school closure and reopening during the COVID-19 pandemic in Alberta, Canada. METHODS: Mental health visits by school-aged children (5 to <18 years) were extracted from the Emergency Department Information System, a province-wide database, from March 11, 2020, to November 30, 2021 (pandemic period; n = 18,997) and March 1, 2019, to March 10, 2020 (1-year, prepandemic comparator period; n = 11,540). We calculated age-specific visit rates and compared rate differences between periods of school closure (March 15-June 30, 2020; November 30, 2020-January 10, 2021; April 22-June 30, 2021) and reopening (September 4-November 29, 2020; January 11-April 21, 2021; September 3-November 30, 2021) to matched prepandemic periods. We used a ratio of relative risk to examine the risk of a visit during closures versus reopenings. RESULTS: The cohort included 11,540 prepandemic visits and 18,997 pandemic visits. Compared with prepandemic periods, ED visit rates increased across all ages during the first (+85.53%; 95% confidence interval [CI], 73.68% to 100.41%) and third (+19.92%; 95% CI, 13.28% to 26.95%) school closures, and decreased during the second closure (-15.37%; 95% CI, -22.22% to -7.92%). During school reopenings, visit rates decreased across all ages during the first reopening (-9.30%; 95% CI, -13.94% to -4.41%) and increased during the third reopening (+13.59%; 95% CI, 8.13% to 19.34%); rates did not change significantly during the second reopening (2.54%; 95% CI, -3.45% to 8.90%). The risk of a visit during school closure versus reopening was only higher for the first closure with 2.06 times the risk (95% CI, 1.88 to 2.25). CONCLUSIONS: Emergency department mental health visit rates were highest during the first school closure of the COVID-19 pandemic, and the risk of a visit during this closure period was twice compared with when schools first reopened.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 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".