Evidence map›Paper›PMID 41102650›Full record

ArticleBMC pregnancy and childbirth2025

Contact with child protection services during pregnancy: a cross-sectional study using the eLIXIR Born in South London, UK maternity-child data linkage.

Kaat De Backer, Paul Seed, Sam Burton, Elsa Montgomery, Jane Sandall, eLIXIR-Born in South London Partnership, Abigail Easter

Erratum issuedAbstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Kaat De BackerDepartment of Women and Children's Health, Faculty of Life Sciences and Medicine, King's College London, London, UK. kaat.de_backer@kcl.ac.uk.ORCID http://orcid.org/0000-0001-5202-2808
Paul SeedDepartment of Women and Children's Health, Faculty of Life Sciences and Medicine, King's College London, London, UK.
Sam BurtonDepartment of Women and Children's Health, Faculty of Life Sciences and Medicine, King's College London, London, UK.ORCID http://orcid.org/0000-0003-3823-3275
Elsa MontgomeryDivision of Methodologies, Florence Nightingale Faculty of Nursing, Midwifery and Palliative Care, King's College London, London, UK.ORCID http://orcid.org/0000-0002-4193-1261
Jane SandallDepartment of Women and Children's Health, Faculty of Life Sciences and Medicine, King's College London, London, UK.ORCID http://orcid.org/0000-0003-2000-743X
eLIXIR-Born in South London Partnership
Abigail EasterDepartment of Women and Children's Health, Faculty of Life Sciences and Medicine, King's College London, London, UK.ORCID http://orcid.org/0000-0002-4462-6537

Funding

Medical Research Council MR/23/SC/0116National Institute for Health and Care Research NIHR302565
6 · The paper itself

Abstract

backgroundIn the last decade, rates of children with child protection agency involvement have increased in many high-income countries, including the UK. Disparities in both maternal and child health outcomes as well as child welfare referrals have been widely evidenced, yet no previous research has investigated contact with child protection agencies in the UK (Children’s Social Care, CSC) during pregnancy using linked maternity and mental health records. The aim of this study was to investigate characteristics of pregnant women when child protection agencies are involved and investigate what risk factors are associated with child protection agency contact during pregnancy.

methodsWe conducted a retrospective cross-sectional study using linked electronic health records from maternity, neonatal, and mental health services in South London (eLIXIR-BiSL cohort). A cohort of singleton pregnancy records was created (October 2018 – April 2023). We used descriptive statistics to investigate sociodemographic and clinical characteristics, and binomial regression to explore risk factors and characteristics associated with CSC contact during pregnancy.

resultsA cohort of 36,322 singleton pregnancy records was studied, with CSC contact identified in 2,206 records (6%). CSC contact was most frequently observed among Black and multiparous women, and those living in poorer socio-economic circumstances. Those with CSC contact more often had recorded medical, obstetric and psychiatric comorbidities compared to those without CSC contact. When investigating referral indications associated with CSC contact, we found 1,733 pregnancy records with risk factors indicating referral concordant with local guidance yet without any CSC contact. In contrast, in 913 pregnancies CSC contact occurred without any prescribed referral indication being identified. In this group, CSC contact was more frequently associated with Black or mixed ethnicity, social deprivation, maternal unemployment, single motherhood, maternal age under 25 years, previous domestic abuse disclosures, and previous mental health or CSC contact.

conclusionsIn this UK population cohort, socio-economic and ethnic disparities were observed between those in contact with child protection agencies during pregnancy and those without. This continued to be observed when excluding those with referral indications associated with CSC involvement. Consistent guidance and a strengths-based family approach is needed to address referral disparities for this group of women and birthing people.

Indexed as

Child Protective ServicesAdultCross-Sectional StudiesElectronic Health RecordsFemaleHumansLondonPregnancyRetrospective StudiesRisk FactorsSocioeconomic FactorsYoung AdultChild protectionMaternity servicesSafeguarding

Identifiers

PMID41102650
PMCPMC12532829

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.