Data Resource: population level family justice administrative data with opportunities for data linkage.

Autor:	Johnson RD; Population Data Science, Swansea University Medical School, Swansea, SA2 8PP, UK., Ford DV; Population Data Science, Swansea University Medical School, Swansea, SA2 8PP, UK., Broadhurst K; Centre for Child & Family Justice Research, Lancaster University, Lancaster, LA1 4YW, UK., Cusworth L; Centre for Child & Family Justice Research, Lancaster University, Lancaster, LA1 4YW, UK., Jones KH; Population Data Science, Swansea University Medical School, Swansea, SA2 8PP, UK., Akbari A; Population Data Science, Swansea University Medical School, Swansea, SA2 8PP, UK., Bedston S; Centre for Child & Family Justice Research, Lancaster University, Lancaster, LA1 4YW, UK., Alrouh B; Centre for Child & Family Justice Research, Lancaster University, Lancaster, LA1 4YW, UK., Doebler S; Centre for Child & Family Justice Research, Lancaster University, Lancaster, LA1 4YW, UK., Lee A; Population Data Science, Swansea University Medical School, Swansea, SA2 8PP, UK., Smart J; Population Data Science, Swansea University Medical School, Swansea, SA2 8PP, UK., Thompson S; Population Data Science, Swansea University Medical School, Swansea, SA2 8PP, UK., Trinder L; Law School, University of Exeter, Exeter, EX4 4RJ, UK., Griffiths LJ; Population Data Science, Swansea University Medical School, Swansea, SA2 8PP, UK.
Jazyk:	angličtina
Zdroj:	International journal of population data science [Int J Popul Data Sci] 2020 Jun 09; Vol. 5 (1), pp. 1339. Date of Electronic Publication: 2020 Jun 09 (Print Publication: 2020).
DOI:	10.23889/ijpds.v5i1.1339
Abstrakt:	Introduction: Although there has been considerable progress in the use of administrative data for applied health research, the family justice field lags behind. Better use of administrative data are essential to enhance understanding of how the family justice system is working, as well as the characteristics of, and outcomes for, children and families. The Family Justice Data Partnership (FJDP) supports this aim through analyses of core family justice and linked datasets in the SAIL Databank (Secure Anonymised Information Linkage). Cafcass Cymru provide expert advice for children involved in family court proceedings in Wales, ensuring decisions are made in the best interests of the child. We provide an overview of Cafcass Cymru data. We also describe and illustrate linkage to administrative datasets within SAIL. Methods: Cafcass Cymru data was transferred to SAIL using a standardised approach to provide de-identified data with Anonymised Linking Fields (ALF) for successfully matched records. Three cohorts were created: all individuals involved in family court applications; all individuals with an ALF allowing subsequent health data linkage; and all individuals with a Residential Anonymised Linking Field (RALF) enabling area-level deprivation analysis. Results: Cafcass Cymru application data are available for child protection matters (public law, range 2011-2019, n=12,745), and child arrangement disputes (private law, range 2005-2019, n=52,023). An 80% data linkage match rate was achieved. 40% had hospital admissions within two years pre or post application; 54% had emergency department attendances and 61% had outpatient appointments. Individuals were more likely to reside in deprived areas regardless of law type. Conclusion: Cafcass Cymru data can be accessed through the SAIL Databank. The FJDP will continue to enhance research opportunities for all to better understand the family justice system, and outcomes for those involved, such as health and wellbeing for children and family members. Competing Interests: Statement on conflicts of interest: None to declare
Databáze:	MEDLINE
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