Evidence map›Paper›PMID 42442935›Full record

ArticleArchives of disease in childhood2026

Increasing complexity in children with life-limiting conditions in England: an analysis of national routine data.

Bethan Page, Stuart William Jarvis, Lorna K Fraser

Abstract read
In one paragraph

Article in Archives of disease in childhood, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Bethan PageKing's College London, London, UK.ORCID http://orcid.org/0000-0002-9937-6176
Stuart William JarvisHealth Sciences, University of York, York, UK.ORCID http://orcid.org/0000-0001-8447-0306
Lorna K FraserCicely Saunders Institute, King's College London, London, UK lorna.fraser@kcl.ac.uk.ORCID http://orcid.org/0000-0002-1360-4191

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe number of children with life-limiting conditions has risen in recent decades, partly due to medical advances enabling increased survival. It is unclear how the medical complexity of this population has changed.

aimTo use quantitative analyses of routinely collected healthcare and administrative data from 2003 to 2022 to assess the complexity of children with a life-limiting condition (0-19 years) over time.

methodsNational hospital data in England (Hospital Episode Statistics) were used to identify children aged 0-19 years with a life-limiting condition from 2003/2004 to 2022/2023. Data were linked with community pharmacy data. Indicators of medical complexity were assessed based on the domains of the medical complexity framework: number of life-limiting and chronic conditions, number of main specialties involved, number of medications, healthcare use and technology dependence (gastrostomies, tracheostomies, jejunostomies) with trends summarised descriptively and associations assessed using multivariable ordinal logistic regression.

resultsMost indicators of complexity increased over time, including numbers of health conditions, specialties, technology dependence, emergency department attendances and emergency admissions. Technology dependence rose, particularly for gastrostomies (3505 to 15 949). Children seen by three or more specialties increased from 3096 to 19 312. Rising healthcare use reflected both increasing numbers of children with life-limiting conditions and increasing complexity among individual patients. Increasing age, increasing deprivation and Bangladeshi and Pakistani ethnicity were associated with greater complexity.

conclusionsHealthcare providers must allocate resources to address the increasing complexity of need in children with life-limiting conditions. No data were available on family impacts or family-identified needs.

Indexed as

Chronic DiseaseAdolescentChildChild, PreschoolEnglandFemaleHumansInfantInfant, NewbornMaleChild Health ServicesEpidemiologyHealth PolicyPaediatricsPalliative Care

Identifiers

PMID42442935
PMCPMC13638291

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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.