Evidence map›Paper›PMID 39827324›Full record

ArticleScientific reports2025

Impact of the COVID-19 pandemic on utilization of mental health services among children and adolescents using an interrupted time series analysis.

Fumihiro Endo, Yuji Hiramatsu, Hiroo Ide

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed.

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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

3 authors.

Fumihiro EndoJMDC Inc, 2-5-5 Shiba Daimon, Minato-ku, Tokyo, 105-0012, Japan.
Yuji HiramatsuHealthcare Data Science Research Unit, Institute for Future Initiatives, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan. yuji.hiramatsu.pari@gmail.com.
Hiroo IdeHealthcare Data Science Research Unit, Institute for Future Initiatives, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to examine the impact of both the initial state of emergency (SOE) imposed from April to May 2020 in response to the COVID-19 pandemic and the COVID-19 outbreak itself on the utilization of mental health services among children and adolescents in Japan during the recent pandemic. We conducted an interrupted time series analysis of the number of mental health visits and average incurred medical expenses, stratified by sex and age group, using monthly medical claims data on 3,029,048 patients for the period from January 2016 to December 2020. It was demonstrated that the SOE resulted in a reduced number of visits for mental health services. After the second outbreak of COVID-19 in Japan, which occurred after the SOE, the number of initial visits and the average incurred medical expenses for mental health services increased notably among girls and adolescent females. The findings of this study suggest that: (1) the provision of mental health services for potential patients with mental disorders was insufficient during the pandemic, and (2) the mental health of girls and adolescent females deteriorated during the pandemic. Early screening and treatment of potentially vulnerable patients with mental disorders should be enhanced during a pandemic.

Indexed as

COVID-19Mental DisordersMental Health ServicesPatient Acceptance of Health CareAdolescentChildChild, PreschoolFemaleHumansInfantInterrupted Time Series AnalysisJapanMalePandemicsSARS-CoV-2Child and adolescentCOVID-19JapanMental disorderPandemic

Identifiers

PMID39827324
PMCPMC11742983

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.