Evidence map›Paper›PMID 35602579›Full record

ArticlePsychiatric research and clinical practice2022

Mental Health-Related Emergency Department Visits Among Children During The Early COVID-19 Pandemic.

Juliet Beni Edgcomb, Nicole M Benson, Chi-Hong Tseng, Rohith Thiruvalluru, Jyotishman Pathak, Regina Bussing, Christopher A Harle, Bonnie T Zima

Abstract read
In one paragraph

Article in Psychiatric research and clinical practice, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. 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

8 authors.

Juliet Beni EdgcombUCLA-Semel Institute for Neuroscience and Human Behavior Department of Psychiatry and Biobehavioral Sciences University of California at Los Angeles Los Angeles California USA.ORCID https://orcid.org/0000-0001-5530-8262
Nicole M BensonMcLean Hospital Harvard Medical School Belmont Massachusetts USA.ORCID https://orcid.org/0000-0001-5361-4311
Chi-Hong TsengDivision of General Internal Medicine and Health Services Research Department of Medicine University of California at Los Angeles Los Angeles California USA.
Rohith ThiruvalluruDivision of Health Informatics Department of Population Health Sciences Weill Cornell Medicine New York New York USA.
Jyotishman PathakDivision of Health Informatics Department of Population Health Sciences Weill Cornell Medicine New York New York USA.
Regina BussingDivision of Child and Adolescent Psychiatry Department of Psychiatry University of Florida Gainesville Florida USA.
Christopher A HarleDepartment of Health Outcomes and Biomedical Informatics University of Florida Gainesville Florida USA.
Bonnie T ZimaUCLA-Semel Institute for Neuroscience and Human Behavior Department of Psychiatry and Biobehavioral Sciences University of California at Los Angeles Los Angeles California USA.

Funding

UCLA Clinical Translational Science InstituteUL1TR001881 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARLEEN F. BROWN, ARASH NAEIM · 2016 to 2026
$118.1M
Using social networks to map and evaluate team science across CTSA hubsUL1TR001427 · NCATS · UNIVERSITY OF FLORIDA · PI MITCHELL, DUANE A. · 2015 to 2024
$37.2M
TRAINING THE SCIENCE OF CHILD MENTAL HEALTH TREATMENTT32MH073517 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SUMA JACOB, John C. Piacentini · 2006 to 2026
$5.2M
NCATS NIH HHS UL1 TR001427NCATS NIH HHS UL1 TR001881NIMH NIH HHS T32 MH073517
6 · The paper itself

Abstract

Objective: To measure univariate and covariate-adjusted trends in children's mental health-related emergency department (MH-ED) use across geographically diverse areas of the U.S. during the first wave of the Coronavirus-2019 (COVID-19) pandemic. Method: This is a retrospective, cross-sectional cohort study using electronic health records from four academic health systems, comparing percent volume change and adjusted risk of child MH-ED visits among children aged 3-17 years, matched on 36-week (3/18/19-11/25/19 vs. 3/16/20-11/22/20) and 12-week seasonal time intervals. Adjusted incidence rate ratios (IRR) were calculated using multivariate Poisson regression. Results: Visits declined during spring-fall 2020 ( Conclusions: The early pandemic brought overall declines in child MH-ED use alongside co-occurring demographic and diagnostic shifts. Children vulnerable to missed detection during instructional disruptions experienced disproportionate declines, suggesting need for future longitudinal research in this population.

Identifiers

PMID35602579
PMCPMC9115451

What OpenQuestion holds

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Registered trials

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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.