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.
Abstract

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