Evidence map›Paper›PMID 40308275›Full record

ArticleInternational journal of population data science2024

Linkage of administrative family court care proceedings and hospital records for mothers in England: linkage accuracy and cumulative incidence of family court care proceedings after a first live birth.

Georgina Ireland, Linda Wijlaars, Matthew Jay, Qi Feng, Katie Harron, Claire Grant, Ruth Gilbert

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 2 papers.

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2citing 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

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Georgina IrelandInstitute of Child Health, UCL, 30 Guilford St, London WC1N 1EH.
Linda WijlaarsInstitute of Child Health, UCL, 30 Guilford St, London WC1N 1EH.
Matthew JayInstitute of Child Health, UCL, 30 Guilford St, London WC1N 1EH.
Qi FengInstitute of Child Health, UCL, 30 Guilford St, London WC1N 1EH.
Katie HarronInstitute of Child Health, UCL, 30 Guilford St, London WC1N 1EH.
Claire GrantInstitute of Epidemiology and Health Care, UCL, 1-19 Torrington Place, London WC1E 7HB.
Ruth GilbertInstitute of Child Health, UCL, 30 Guilford St, London WC1N 1EH.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Linkage of public law family court care proceedings (CP) data to all women giving birth in NHS hospitals in England allows calculation of the cumulative incidence of CP involvement for mothers with first children born. Objectives: To assess linkage accuracy and determine the 10-year cumulative incidence of CP after a first live birth (FLB) for population subgroups. Method: NHS England linked records for mothers in Cafcass (Children and Family Court Advisory and Support Service) involved in CP (2007-2021) to all mothers with a delivery in England using Hospital Episode Statistics (HES: 1997-21). We calculated match rates and assessed indirect evidence of potential false positive and missed links. We used survival analyses to estimate cumulative incidence of CP within 10 years overall and for five-year maternal age groups at first live birth. Results: Of 120,937 mothers involved in CP, 6.6% (n = 8,010) were excluded due to missing postcode or date of birth, or age <15 or >50. Of the remaining 112,927 mothers, 92,891 (82.8%) were linked to a HES delivery record. Match rates were lowest for mothers with an ethnic minority background, older at first case, or residing in Greater London, but improved over time.Of 3,572,737 mothers with a FLB, 38,462 had CP involvement. The cumulative incidence of CP at 10 years from FLB was 1.31% (95% Confidence Interval [CI]; 1.29-1.32) overall and highest in mothers aged 15-19 years (6.79%, 95% CI: 6.69-6.89) and those living in the most deprived areas (2.47%, 95% CI: 2.43-2.51). Conclusion: One in 77 of all mothers and one in 15 aged less than 20 at first live birth were involved in CP within 10 years. Linkage error may underestimate the incidence of CP for mothers in London or with an ethnic minority background. Key points: Overall, 82.8% of women recorded as a mother in Cafcass care proceedings were linked to a hospital delivery record.Match rates were lowest for mothers with an ethnic minority background, older age at first child, or residing in Greater London.1.3% of all mothers (1 in 77) with a first birth were involved in care proceedings within 10 years and 6.8% (1 in 15) of mothers aged <20 at first live birth.

Indexed as

Hospital RecordsLive BirthMedical Record LinkageMothersAdolescentAdultEnglandFemaleHumansIncidenceMaternal AgeMiddle AgedPregnancyYoung Adultadministrative datacare proceedingsdata linkagefamily courthealth data

Identifiers

PMID40308275
PMCPMC12042068

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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.