Who becomes a Special Guardian: What we can learn from linked data

ObjectivesA Special Guardianship Order (SGO) is a court order that makes somebody other than a child’s parents their legal guardian. However very little is known about who becomes a Special Guardian, or who children live with following an SGO, and those people’s health and other characteristics. MethodsData from Children and Family Court Advisory and Support Service held in the SAIL databank, were used to identify children who had received SGOs in Wales and where possible who the SGOs were granted to. This data was linked to the Welsh Demographic Service Data to identify the households that children were living in following an SGO, and area level deprivation. Linkage to health datasets enabled the identification of health characteristics. The households of children with an SGO were compared with households in the rest of the population. ResultsAdults in households with SGOs were more likely than comparison households to be older, live in areas of deprivation and have certain medical conditions, including anxiety and depression. ConclusionThe findings highlight differences between populations that may need additional support from service providers.

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Publication Details

Journal
International Journal for Population Data Science
Published
2025-08-28
DOI
https://doi.org/10.23889/ijpds.v10i4.3234
Primary Topic
Biomedical Text Mining and Ontologies
Type
article
Field-Weighted Citation Impact
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article

Who becomes a Special Guardian: What we can learn from linked data

Victoria Bennett, Nell Warner, Lorna Stabler
International Journal for Population Data Science
Biomedical Text Mining and Ontologies
article

Who becomes a Special Guardian: What we can learn from linked data

Victoria Bennett, Nell Warner, Lorna Stabler
article en

Abstract

ObjectivesA Special Guardianship Order (SGO) is a court order that makes somebody other than a child’s parents their legal guardian. However very little is known about who becomes a Special Guardian, or who children live with following an SGO, and those people’s health and other characteristics. MethodsData from Children and Family Court Advisory and Support Service held in the SAIL databank, were used to identify children who had received SGOs in Wales and where possible who the SGOs were granted to. This data was linked to the Welsh Demographic Service Data to identify the households that children were living in following an SGO, and area level deprivation. Linkage to health datasets enabled the identification of health characteristics. The households of children with an SGO were compared with households in the rest of the population. ResultsAdults in households with SGOs were more likely than comparison households to be older, live in areas of deprivation and have certain medical conditions, including anxiety and depression. ConclusionThe findings highlight differences between populations that may need additional support from service providers.

International Journal for Population Data ScienceVol. 10(4)
Cardiff University (GB)
Openalex Percentile: Top 80%
Biomedical Text Mining and Ontologies
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