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Self-harm in children involved in private and public family justice court proceedings: longitudinal national data linkage study

Published online by Cambridge University Press:  27 February 2026

Ann John*
Affiliation:
Population Data Science, Swansea University Medical School, Swansea, UK National Centre for Suicide Prevention and Self-Harm Research, Swansea University, Swansea, UK
Joanna McGregor
Affiliation:
Population Data Science, Swansea University Medical School, Swansea, UK
Lucy J. Griffiths
Affiliation:
Population Data Science, Swansea University Medical School, Swansea, UK
Rhodri Johnson
Affiliation:
Population Data Science, Swansea University Medical School, Swansea, UK
Karen Broadhurst
Affiliation:
Centre for Child & Family Justice Research, Lancaster University, Lancaster, UK
Amanda Marchant
Affiliation:
Population Data Science, Swansea University Medical School, Swansea, UK National Centre for Suicide Prevention and Self-Harm Research, Swansea University, Swansea, UK
*
Correspondence: Ann John. Email: a.john@swansea.ac.uk
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Abstract

Background

Little is known about self-harm in children involved in family justice proceedings, particularly in private family courts in England and Wales.

Aims

To examine records of self-harm in children involved in private and public law proceedings using population-level linked data.

Method

A retrospective e-cohort study of children aged under 18 years, using linked health and family justice (Cafcass Cymru) data (2011–2018). Family court involvement was recorded from age 0 to 17 years. Incidence of self-harm was recorded from age 10 to 17 years to fit with the standard definition of self-harm. Annual incidence of self-harm over time across general practitioner (GP), emergency department and hospital admissions for individual children in private and public law proceedings were compared with a non-court cohort using Poisson regression. Self-harm following court proceedings was compared with an age- and gender-matched non-court cohort using Cox regression.

Results

Adjusted self-harm rates were higher in court-involved children than the non-court cohort (incident rate ratios (IRRs) (95% CI), private: GP 1.8 (1.6–2.1); emergency department 1.4 (1.2–1.7); admissions 1.8 (1.5–2.1); public: GP 4.6 (4.1–5.3); emergency department 5.0 (4.3–5.8); admissions 5.0 (4.3–5.8)). Compared with matched comparison children, risk of self-harm was higher following private (adjusted hazard ratios 2.0 (1.7–2.2)) and public court proceedings (hazard ratio 2.3 (2.7–3.8)). Hazard ratios were greater for those from less deprived areas and those with no history of self-harm.

Conclusions

The elevated risk of self-harm in children involved in public law proceedings is well recognised. Our study highlights risk in children in private family justice proceedings. Elevated risk among those from less deprived areas and those with no history of self-harm may reflect circumstances associated with family justice involvement, resulting in rates comparable to children with other pre-existing vulnerabilities. Contact with family justice is an opportunity to offer preventative support.

Information

Type
Paper
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2026. Published by Cambridge University Press on behalf of Royal College of Psychiatrists
Figure 0

Table 1 Demographic breakdown of cohorts at study onset

Figure 1

Fig. 1 Flow diagram of study participants. ALF, anonymous linkage field; WDS, Welsh Demographic Service; SAIL, Secure Anonymised Information Linkage; GP, general practitioner.

Figure 2

Table 2 Self-harm incidence rates, IRR (unadjusted, adjusted and 95% CI) across healthcare settings

Figure 3

Table 3 Incidence rate (95% CI) per 1000 person years at risk for self-harm by court involvement, healthcare setting, year, gender, age group and deprivation

Figure 4

Table 4 Number of events, incidence per 1000 person years at risk (95% CI) and adjusted IRR (95% CI) for recording of self-harm events across settingsa

Figure 5

Table 5 Hazard ratios (95% CI) for self-harm following court registrations (case-control cohort)a

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