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Identifying the parental figures of children who enter care: The pros and cons of different data linkage methods
Nell Warner1, Helen Hodges1,2, Jonathan Scourfield1
1CASCADE, Cardiff University, Maindy Road, Cathays, Cardiff CF24 4HQ.
Insights
Identifying parental figures for children in social care is challenging. The National Community Child Health Database (NCCHD) best identifies mothers, while Welsh Demographic Service Dataset (WDSD) and Cafcass Cymru data offer limited success for fathers.
Area of Science:
- Social Sciences
- Public Health
- Child Welfare Research
Background:
- Accurate identification of parental figures is crucial for research on children in social care.
- Administrative data present challenges in identifying all parental figures, especially fathers.
Purpose of the Study:
- To compare methods for linking children in out-of-home care to their parental figures using various datasets.
- To assess the effectiveness of different datasets in identifying both female and male parental figures.
Main Methods:
- Children entering out-of-home care in Wales (2011-2019) were linked using Anonymous Linking Fields (ALFs) to datasets including Cafcass Cymru, WDSD, NCCHD, and Censuses.
- Descriptive statistics compared linkage rates, consistency, and potential biases for identifying parental figures across datasets.
Main Results:
- NCCHD achieved the highest linkage rate for female parental figures (86.9%).
- WDSD identified female (71.6%) and male (42.5%) parental figures, while Cafcass Cymru identified female (53.9%) and male (44.0%) parental figures.
- Census data linkage was limited due to lower response rates.
Conclusions:
- NCCHD is effective for identifying biological mothers.
- WDSD and Cafcass Cymru can identify a limited number of male parental figures.
- The choice of dataset for linkage depends on specific research objectives regarding parental figures.
Introduction:
Research on the parental figures of children who receive social care services is important, but there are challenges identifying parental figures, particularly fathers, from administrative data in some countries.
Objective:
This paper compares methods for linking to parental figures using different datasets.
Methods:
Children who entered out-of-home care in Wales between 2011 and 2019 were identified from the Looked After Children dataset for Wales (LACW). Those with Anonymous Linking Fields (ALFs) (n=10,679) were linked to different datasets to identify parental figures. The Children and Family Court Advisory and Support Service (Cafcass Cymru) dataset was used to identify parental figures involved in public and private law cases. The Welsh Demographic Service Dataset (WDSD) was used to identify parental figures resident with children before care entry and the National Community Child Health Database (NCCHD) was used to identify biological mothers. The 2011 and 2021 Censuses were used to identify if children were resident with parental figures on Census dates. Descriptive statistics were used to compare linkage rates to female and male parental figures across different datasets, the consistency of linkage and potential biases.
Results:
NCCHD identified female parental figures for 86.9% of the children with an ALF. WDSD identified female parental figures for 71.6% and male parental figures for 42.5%, while Cafcass Cymru data identified female parental figures for 53.9% and male parental figures for 44.0%. Response rates to the 2011 and 2021 Censuses were lower than for the general population, limiting their use.
Conclusion:
NCCHD is useful for identifying biological mothers. WDSD and Cafcass Cymru can both identify limited numbers of male parental figures, but the choice of linkage method would depend on the research questions to be answered.
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