Evidence map›Paper›PMID 38580437›Full record

ArticleBMJ mental health2024

Perfect storm: emotionally based school avoidance in the post-COVID-19 pandemic context.

Kathryn J Lester, Daniel Michelson

Abstract read
In one paragraph

Article in BMJ mental health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

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

  1. Pooled it
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  9. What drives EBSA across contexts? evidence from China using BERTopic.Frontiers in child and adolescent psychiatry · 2026
    Article
  10. Review
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  12. School refusal: a hidden challenge for working parents.Journal of occupational health · 2025
    Review
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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

2 authors.

Kathryn J LesterSchool of Psychology, University of Sussex, Falmer, Brighton, East Sussex, UK k.lester@sussex.ac.uk.ORCID http://orcid.org/0000-0002-0853-2664
Daniel MichelsonDepartment of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

School absences have risen following the COVID-19 pandemic and persistent absenteeism remains high in primary and secondary schools in England compared with pre-pandemic levels. This coincides with an upward trend in emotionally based school avoidance (EBSA). EBSA adversely affects children's educational attainment, health, social functioning and life prospects and warrants early intervention before a pattern of absenteeism becomes entrenched. In this article, we consider how the COVID-19 pandemic and its sequelae have created a 'perfect storm' of conditions, amplifying known school, family and child-based risk factors for EBSA while simultaneously reducing access to support services. We then outline priorities for developing new EBSA interventions and argue for a multi-component approach, which works across education, health and social care, and voluntary sectors to address the complex interplay between risk factors. Given the difficulties that families often face in obtaining timely support for EBSA, it is also essential that new interventions are accessible, resource-efficient and scalable. To this end, we specifically discuss the potential for contextually-sensitive, parent-focused interventions that can be delivered online with minimal synchronous support from a trained coach or facilitator.

Indexed as

COVID-19Educational StatusHumansPandemicsParentsSchoolsAnxiety disordersChild & adolescent psychiatryCOVID-19

Identifiers

PMID38580437
PMCPMC11021743

What OpenQuestion holds

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LicenceCC BY-NC
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.