Rate of adolescent inpatient admission for psychosis during the COVID‐19 pandemic: A retrospective chart review
Bibliographic record
Abstract
AIM: Given the concerns for mental health (MH) impacts on children and adolescents during the COVID-19 pandemic, as well as the relative paucity of research in this field, this retrospective study compares the rate of paediatric inpatient MH admissions for psychosis for a period of 11 months before and during the pandemic. METHODS: We used administrative data to compare the rate and clinical characteristics of patients (<18 years) admitted to a psychiatric inpatient unit for a psychotic illness before (March 17, 2019 to February 17, 2020) and during (March 17, 2020 to February 17, 2021) the COVID-19 pandemic. RESULTS: Results showed a 66% increase in inpatient psychosis admissions from pre-pandemic rates. More males were admitted with psychosis during the pandemic. Age and length of hospitalization were not significantly different across time periods. CONCLUSIONS: Results highlight the importance of accessible MH care for paediatric patients with psychosis during the pandemic.
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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 | 0.002 | 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) | 0.003 | 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".