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Data resource profile: children looked after administrative records in Wales

INTRODUCTION: Children who are ‘looked after’ by the State are considered one of the most vulnerable groups in society. Being in State care is associated with poor social, educational and health outcomes. Exploring how to improve the system and better support children in care is key to improving the...

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Autores principales: Allnatt, Gemma, Lee, Alex, Scourfield, Jonathan, Elliott, Martin, Broadhurst, Karen, Griffiths, Lucy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Swansea University 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9350456/
https://www.ncbi.nlm.nih.gov/pubmed/35974979
http://dx.doi.org/10.23889/ijpds.v7i1.1752
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author Allnatt, Gemma
Lee, Alex
Scourfield, Jonathan
Elliott, Martin
Broadhurst, Karen
Griffiths, Lucy
author_facet Allnatt, Gemma
Lee, Alex
Scourfield, Jonathan
Elliott, Martin
Broadhurst, Karen
Griffiths, Lucy
author_sort Allnatt, Gemma
collection PubMed
description INTRODUCTION: Children who are ‘looked after’ by the State are considered one of the most vulnerable groups in society. Being in State care is associated with poor social, educational and health outcomes. Exploring how to improve the system and better support children in care is key to improving these outcomes. When children and young people come to the attention of children’s social services a significant amount of information about their care experience is routinely collected by local authorities. In Wales, routine data are captured in the ‘Children Looked After’ Census which is submitted annually to the Welsh Government and has recently been shared with the Secure Anonymised Information Linkage (SAIL) Databank. METHOD: The aim of this paper is to provide an overview of the main ‘Children Looked After’ Census dataset and its subsets. These datasets contain rich, situational and individual level data on children looked after, such as information on placement types, education and leaving care. We outline the strengths and limitations of the available information and how to access the data. RESULTS: The ‘Children Looked After’ Census has recently been made available for research purposes and access to it will enable researchers to explore and understand at population level the journey through the care system and outcomes of leaving care. There is also the opportunity, through the SAIL Databank, for data linkage to health, education and family justice datasets, allowing research to holistically explore other factors associated with being in care. CONCLUSION: These data provide a rich source of information about children and young people who have been in care in Wales. They offer researchers opportunities to better understand the care system and outcomes for this within it. Findings will have important implications for making improvements in children’s social care policy and practice.
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spelling pubmed-93504562022-08-15 Data resource profile: children looked after administrative records in Wales Allnatt, Gemma Lee, Alex Scourfield, Jonathan Elliott, Martin Broadhurst, Karen Griffiths, Lucy Int J Popul Data Sci Population Data Science INTRODUCTION: Children who are ‘looked after’ by the State are considered one of the most vulnerable groups in society. Being in State care is associated with poor social, educational and health outcomes. Exploring how to improve the system and better support children in care is key to improving these outcomes. When children and young people come to the attention of children’s social services a significant amount of information about their care experience is routinely collected by local authorities. In Wales, routine data are captured in the ‘Children Looked After’ Census which is submitted annually to the Welsh Government and has recently been shared with the Secure Anonymised Information Linkage (SAIL) Databank. METHOD: The aim of this paper is to provide an overview of the main ‘Children Looked After’ Census dataset and its subsets. These datasets contain rich, situational and individual level data on children looked after, such as information on placement types, education and leaving care. We outline the strengths and limitations of the available information and how to access the data. RESULTS: The ‘Children Looked After’ Census has recently been made available for research purposes and access to it will enable researchers to explore and understand at population level the journey through the care system and outcomes of leaving care. There is also the opportunity, through the SAIL Databank, for data linkage to health, education and family justice datasets, allowing research to holistically explore other factors associated with being in care. CONCLUSION: These data provide a rich source of information about children and young people who have been in care in Wales. They offer researchers opportunities to better understand the care system and outcomes for this within it. Findings will have important implications for making improvements in children’s social care policy and practice. Swansea University 2022-08-02 /pmc/articles/PMC9350456/ /pubmed/35974979 http://dx.doi.org/10.23889/ijpds.v7i1.1752 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
spellingShingle Population Data Science
Allnatt, Gemma
Lee, Alex
Scourfield, Jonathan
Elliott, Martin
Broadhurst, Karen
Griffiths, Lucy
Data resource profile: children looked after administrative records in Wales
title Data resource profile: children looked after administrative records in Wales
title_full Data resource profile: children looked after administrative records in Wales
title_fullStr Data resource profile: children looked after administrative records in Wales
title_full_unstemmed Data resource profile: children looked after administrative records in Wales
title_short Data resource profile: children looked after administrative records in Wales
title_sort data resource profile: children looked after administrative records in wales
topic Population Data Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9350456/
https://www.ncbi.nlm.nih.gov/pubmed/35974979
http://dx.doi.org/10.23889/ijpds.v7i1.1752
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