Evidence map›Paper›PMID 39618554›Full record

ArticleInternational journal of population data science2024

Health service use of infants involved in family justice care and supervision proceedings in Wales: a data linkage study.

Ian Farr, Laura Cowley, Karen Broadhurst, David Odd, Carys Jones, Grace Bailey, Bachar Alrouh, Mariam Abouelenin, Linda Cusworth, Stephanie Doebler and 2 more

Abstract read
In one paragraph

Article in International journal of population data science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

12 authors.

Ian FarrPopulation Data Science, Swansea University School of Medicine, Swansea.
Laura CowleyPopulation Data Science, Swansea University School of Medicine, Swansea.
Karen BroadhurstCentre for Child & Family Justice Research, Lancaster University, Lancaster.
David OddDivision of Population Medicine, Cardiff University School of Medicine, Cardiff.
Carys JonesPopulation Data Science, Swansea University School of Medicine, Swansea.
Grace BaileyPopulation Data Science, Swansea University School of Medicine, Swansea.
Bachar AlrouhCentre for Child & Family Justice Research, Lancaster University, Lancaster.
Mariam AboueleninCentre for Child & Family Justice Research, Lancaster University, Lancaster.
Linda CusworthCentre for Child & Family Justice Research, Lancaster University, Lancaster.
Stephanie DoeblerCentre for Child & Family Justice Research, Lancaster University, Lancaster.
David FordPopulation Data Science, Swansea University School of Medicine, Swansea.
Lucy GriffithsPopulation Data Science, Swansea University School of Medicine, Swansea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: When a childhas suffered, or is at risk of suffering, significant harm from parents or caregivers, the local authority may issue Section 31 (s.31) Care andSupervision proceedings under the Children Act (1989). Objectives: We compared the healthcare use of infants less than one year old subject to s.31 proceedings in Wales ( Methods: Population-based e-cohort study utilising data held in the Secure Anonymised Information Linkage (SAIL) Databank. Infants in s.31 proceedings were identified using the Children and Family Court Advisory and Support Service dataset. This was linked to demographic and healthcare datasets, to identify General Practice (GP) visits, emergency department (ED) attendances, and hospital admissions (emergency and elective); before the study end date or the child's first birthday for the comparison group, orbefore the s.31 application date. Regression analysis calculated event rate ratios [RR] and incidence rate ratios [IRR] for healthcare events, adjusting for widerdeterminants of health (e.g. perinatal factors, maternal mental health, deprivation), and investigated reasons for healthcare use. Results: Infants in s.31 proceedings had ahigher number and incidence of healthcare events compared with the comparison group, across all healthcare settings. Differences were greatest for emergency hospital admissions (IRR = 4.03, 95, 95% confidence interval [CI] = 3.53-4.59; RR = 4.60, CI = 3.90-5.41). "Injury and poisoning" was the main reason for emergency admissions amongst infants in s.31 proceedings. For ED presentations, emergency hospital admissions, and GP visits, there were proportionally more events for these infants across all top ten reasons for healthcare. Conclusions: Findings highlight greater healthcare utilisation for infants involved in s.31 proceedings in Wales, helping to build a better understanding of their needs and vulnerabilities.

Indexed as

Information Storage and RetrievalChild AbuseCohort StudiesFemaleHumansInfantInfant, NewbornMaleWalesadministrative datacare proceedingsdata linkagehealth service use

Identifiers

PMID39618554
PMCPMC11606540

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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.