Evidence map›Paper›PMID 39145103›Full record

ArticleNIHR open research2024

Planned and unplanned hospital admissions and health-related school absence rates in children with neurodisability: Protocol for a population-based study using linked education and hospital data from England.

Laura Gimeno, Ania Zylbersztejn, Ayana Cant, Katie Harron, Ruth Gilbert

Abstract read
In one paragraph

Article in NIHR open research, 2024. 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

5 authors.

Laura GimenoGreat Ormond Street Institute of Child Health, University College London, London, England, WC1N 1EH, UK.ORCID https://orcid.org/0000-0001-5456-1936
Ania ZylbersztejnGreat Ormond Street Institute of Child Health, University College London, London, England, WC1N 1EH, UK.ORCID https://orcid.org/0000-0003-1035-1448
Ayana CantGreat Ormond Street Institute of Child Health, University College London, London, England, WC1N 1EH, UK.ORCID https://orcid.org/0009-0001-4034-4153
Katie HarronGreat Ormond Street Institute of Child Health, University College London, London, England, WC1N 1EH, UK.
Ruth GilbertGreat Ormond Street Institute of Child Health, University College London, London, England, WC1N 1EH, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Neurodisability describes a broad set of conditions affecting the brain and nervous system which result in functional limitations. Children with neurodisability have more hospital admissions than their peers without neurodisability and higher rates of school absence. However, longitudinal evidence comparing rates of hospital admission and school absence in children with neurodisability to peers without neurodisability throughout school is limited, as is understanding about whether differences are greatest for planned care (e.g., scheduled appointments) or unplanned care. This study will describe rates of planned and unplanned hospital admissions and school absence due to illness and medical reasons throughout primary school (Reception to Year 6, ages 4 to 11 in England) for children with neurodisability and all other children, using linked individual-level health and education data. Methods: We will use the ECHILD (Education and Child Insights from Linked Data) database, which links educational and health records across England. We will define a primary school cohort of children who were born in National Health Service-funded hospitals in England between 1 Results: We will describe rates of planned and unplanned hospital admissions and health-related school absence for three groups of children: those with a neurodisability indicator first recorded before beginning primary school, those with neurodisability first recorded during primary school, and those without a record of neurodisability before end of primary school. Conclusions: We will further explore whether differences between these group vary across primary school years and by socioeconomic and demographic characteristics.

Indexed as

electronic health recordshospital admissionslinked dataneurodisabilityschool absence

Identifiers

PMID39145103
PMCPMC11319901

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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.