Do data from child protective services and the police enhance modelling of perinatal risk for paediatric abusive head trauma? A retrospective case-control study.


Journal

BMJ open
ISSN: 2044-6055
Titre abrégé: BMJ Open
Pays: England
ID NLM: 101552874

Informations de publication

Date de publication:
01 03 2019
Historique:
entrez: 4 3 2019
pubmed: 4 3 2019
medline: 31 3 2020
Statut: epublish

Résumé

First, to investigate whether there is a relationship between a family being known to child protective services or police at the time of birth and the risk of abusive head trauma (AHT, formerly known as shaken baby syndrome). Second, to investigate whether data from child protective services or police improve a predictive risk model derived from health records. Retrospective case control study of child protective service and police records. Nine maternity hospitals. 142 consecutive cases of AHT admitted to a tertiary children's hospital from 1991 to 2010 and born in one of the nine participating maternity hospitals. 550 controls matched by the date and hospital of birth. Abusive head trauma. There is a relationship between families known to child protective services or police and the risk of AHT. Notification to child protective services: univariable OR 7.24 (95% CI 4.70 to 11.14). Involvement with youth justice: univariable OR 8.94 (95% CI 4.71 to 16.95). Police call-out for partner violence: univariable OR 3.85 (95% CI 2.51 to 5.91). Other violence offence: univariable OR 2.73 (95% CI 1.69 to 4.40). Drug offence: univariable OR 2.82 (95% CI 1.63 to 4.89). However, in multi-variable analysis with data from perinatal health records, notification to child protective services was the only one of these variables to remain in the final model (OR 4.84; 95% CI 2.61 to 8.97) and had little effect on overall predictive power. The area under the receiver operating characteristic curve was 89.5% (95% CI 86.6 to 92.5) using variables from health data alone and 90.9% (95% CI 88.0 to 93.7) when notification was added. Family involvement with child protective services or police is associated with increased risk of AHT. However, accessing such data at the time of birth would add little predictive power to a risk model derived from routine health information.

Identifiants

pubmed: 30826760
pii: bmjopen-2018-024199
doi: 10.1136/bmjopen-2018-024199
pmc: PMC6429859
doi:

Types de publication

Journal Article Multicenter Study Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e024199

Informations de copyright

© Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: None declared.

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Auteurs

Patrick Kelly (P)

Te Puaruruhau, Starship Children's Health, Auckland, New Zealand.
Paediatrics: Child and Youth Health, University of Auckland Faculty of Medical and Health Sciences, Auckland, New Zealand.

John M D Thompson (JMD)

Paediatrics: Child and Youth Health, University of Auckland, Auckland, New Zealand.

Santuri Rungan (S)

Community Child Health, Sydney Children's Hospitals Network Randwick and Westmead, Sydney, New South Wales, Australia.

Shanthi Ameratunga (S)

School of Population Health, University of Auckland, Auckland, New Zealand.

Timothy Jelleyman (T)

Department of Paediatrics, Waitemata District Health Board, Takapuna, New Zealand.

Teuila Percival (T)

Paediatrics: Child and Youth Health, University of Auckland Faculty of Medical and Health Sciences, Auckland, New Zealand.
Kidz First Children's Hospital, Counties Manukau District Health Board, Auckland, New Zealand.

Hinemoa Elder (H)

School of Graduate Studies, Te Whare Wānanga o Awanuiārangi, Auckland, New Zealand.

Edwin A Mitchell (EA)

Paediatrics, University of Auckland, Auckland, New Zealand.

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