The COVID‐19 impact and characterization on substance use‐related emergency department visits for adolescents and young adults in Canada: Practical implications
Bibliographic record
Abstract
RATIONALE: Coronavirus (COVID-19)-related stressors precipitated the mental health crisis and increased substance use in Canada and worldwide. As the pandemic continues to evolve, monitoring and updating substance use-related ED visit trends is essential to ensure the stability and quality of ED services under the prolonged pandemic timeline. AIMS AND OBJECTIVES: This study examined the trends and characterization of substance use-related ED visits during the pandemic among adolescents and young adults (aged 13-25 years) in Ontario, Canada. METHODS: Descriptive statistics and binary logistic regression analyses were conducted using population-based, repeated cross-sectional data. The volume, patient characteristics (age and sex) and hospital/ED visit features (triage to end time, timing of the visit, triage level and referral source) were compared before (2019) and during COVID-19 (2020 and 2021) by each substance type (alcohol, opioid, cannabis, sedatives, cocaine, stimulants and multiple psychoactive substances). RESULTS: Substance use-related ED visits decreased by 1.5 times during the pandemic compared to the prepandemic level. However, opioid-related ED visits continued to show an increasing trend and did not recover to the prepandemic level in 2021. Moreover, a significant increase in emergent/life-threatening triage levels (Canadian Triage and Acuity Scales 1 and 2) in substance-related ED visits is alarming (2019 = 36.8%, 2020 = 38.7% and 2021 = 38.4%). We also found a general decrease in weekend visits, overnight visits and visits on statutory holidays, and substance use-related ED patients tended to stay longer (over 6 h) in the ED during the pandemic. CONCLUSION: Our findings indicate unmet substance use treatment needs due to the limited accessibility and heightened threshold for ED visits during the pandemic. Providing access to substance treatment/programs outside ED is critical to reducing substance use-related complications presenting in the ED. Also, policies addressing the pandemic-related complexities in the ED and Health Human Resource challenges are warranted.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".