Evidence map›Paper›PMID 38146536›Full record

ArticleFrontiers in pediatrics2023

Impact of the COVID-19 pandemic on antidepressant and antipsychotic use among children and adolescents: a population-based study.

Tony Antoniou, Kathleen Pajer, William Gardner, Melanie Penner, Yona Lunsky, Mina Tadrous, Muhammad Mamdani, Peter Gozdyra, David N Juurlink, Tara Gomes

Open access · goldAbstract read
In one paragraph

Article in Frontiers in pediatrics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 1 country.

Tony AntoniouLi Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, ON, Canada.
Kathleen PajerMental Health Program, Children's Hospital of Eastern Ontario Research Institute, Ottawa, ON, Canada.
William GardnerSchool of Epidemiology and Public Health, University of Ottawa, Ottawa, ON, Canada.
Melanie PennerAutism Research Centre, Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, Canada.
Yona LunskyICES, Toronto, ON, Canada.
Mina TadrousICES, Toronto, ON, Canada.
Muhammad MamdaniLi Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, ON, Canada.
Peter GozdyraICES, Toronto, ON, Canada.
David N JuurlinkICES, Toronto, ON, Canada.
Tara GomesLi Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, ON, Canada.
University of Toronto · CACentre for Addiction and Mental Health · CAChildren's Hospital of Eastern Ontario · CAUniversity of Ottawa · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The COVID-19 pandemic was associated with increases in the prevalence of depression, anxiety and behavioural problems among children and youth. Less well understood is the influence of the pandemic on antidepressant and antipsychotic use among children. This is important, as it is possible that antidepressants and antipsychotics were used as a "stop-gap" measure to treat mental health symptoms when in-person access to outpatient care and school-based supportive services was disrupted. Furthermore, antipsychotics and antidepressants have been associated with harm in children and youth. We examined trends in dispensing of these medications two years following the pandemic among children 18 years of age and under in Ontario, Canada. Methods: We conducted a population-based time-series study of antidepressant and antipsychotic medication dispensing to children and adolescents ≤18 years old between September 1, 2014, and March 31, 2022. We measured monthly population-adjusted rates of antidepressant and antipsychotics obtained from the IQVIA Geographic Prescription Monitor (GPM) database. We used structural break analyses to identify the pandemic month(s) when changes in the dispensing of antidepressants and antipsychotics occurred. We used interrupted time series models to quantify changes in dispensing following the structural break and compare observed and expected use of these drugs. Results: Overall, we found higher-than-expected dispensing of antidepressants and antipsychotics in children and youth. Specifically, we observed an immediate step decrease in antidepressant dispensing associated with a structural break in April 2020 (-55.8 units per 1,000 individuals; 95% confidence intervals [CI] CI: -117.4 to 5.8), followed by an increased monthly trend in the rate of antidepressant dispensing of 13.0 units per 1,000 individuals (95% CI: 10.2-15.9). Antidepressant dispensing was consistently greater than predicted from September 2020 onward. Antipsychotic dispensing increased immediately following a June 2020 structural break (26.4 units per 1,000 individuals; 95% CI: 15.8-36.9) and did not change appreciably thereafter. Antipsychotic dispensing was higher than predicted at all time points from June 2020 onward. Conclusion: We found higher-than-expected dispensing of antidepressants and antipsychotics in children and youth. These increases were sustained through nearly two years of observation and are especially concerning in light of the potential for harm with the long-term use of antipsychotics in children. Further research is required to understand the clinical implications of these findings.

Indexed as

adolescentantidepressantantipsychotic agentschildCOVID-19COVID-19 antidepressanttime-series analysis

Identifiers

PMID38146536
PMCPMC10749316
OpenAlexW4389571135

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.