Understanding inequalities in adult social care in Wales: protocol for the CARE Lab linked administrative data study

Fiona Victoria Lugg-Widger, Ashley Akbari, Rebecca Cannings-John, Oliver S. Cumming, Matthew Curds, Miranda Evans, Jose-Luis Fernandez, Henrietta Graham, Mala Mann, Melissa Meindl, Abigail Palmer, Lisa Trigg, Nell Warner, Paul Willis, Julie Wych, Simone Willis and Jonathan Scourfield

LSE Research Online Documents on Economics from London School of Economics and Political Science, LSE Library

Abstract: Introduction Adult social care in the UK faces increasing demand and persistent inequalities in terms of access and care quality, yet national-level understanding remains limited. The CARE Lab study aims to address these gaps using newly available individual-level routine administrative data for the whole of Wales from the Adults Receiving Care and Support (ARCS) census. This study will explore patterns of care provision, transitions from children's to adult services, and socio-demographic disparities, using linked data to inform service planning and policy. Methods and Analysis This quantitatively-led mixed-methods study comprises five research questions. Quantitative analysis will use ARCS census data, both standalone and linked to health, education, and social care datasets within the Secure Anonymised Information Linkage (SAIL) Databank. Qualitative interviews with people receiving care and support, carers, and professionals will contextualise findings. Key research questions address care patterns, demographic comparisons, regional variation, transitions from child to adult care, and the feasibility of evaluating care models using linked data. Statistical analyses will include descriptive and inferential statistics, propensity score matching, and there will be thematic analysis of qualitative data. Ethics and Dissemination Ethical approval has been obtained from Cardiff University. Data access approvals will be sought from Welsh Government, SAIL, and the Office for National Statistics. Dissemination will occur through peer-reviewed publications, policy briefings, accessible multimedia outputs, and stakeholder engagement via an action group. The study will also produce a research-ready data asset and recommendations for future data infrastructure development across the UK.

Keywords: TRE (Trusted Research Environment); Wales; adult social care; inequalities; linked data; national level; wales (search for similar items in EconPapers)
JEL-codes: C1 (search for similar items in EconPapers)
Pages: 16 pages
Date: 2026-08-03
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Published in International Journal of Population Data Science (ijpds), 3, August, 2026, 11(1). ISSN: 2399-4908

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