Explaining local variation in referrals from health services to children’s social care in England 2013–16: a study using ‘children in need’ administrative data

Author:

Emmott E H1ORCID,Mc Grath-Lone L23,Harron K3ORCID,Woodman J4ORCID

Affiliation:

1. UCL Anthropology, University College London, 14 Taviton Street, London, UK

2. Rees Centre for Research in Fostering and Education, Department of Education, University of Oxford, 15 Norham Gardens, Oxford, UK

3. UCL Great Ormond Street Institute of Child Health, University College London, 30 Guildford Street, London, UK

4. Thomas Coram Research Unit, UCL Institute of Education, University College London, 27–28 Woburn Square, London, UK

Abstract

Abstract Background Referral rates from Health service to Children’s Social Care (CSC) services vary across England. In 2019, the National Audit Office (re)iterated the urgent need to understand the drivers of such variation. Methods Using administrative data (Children in Need Census, 2013–16), we calculated annual referral rates from Health to CSC services (Health referral rate) by Local Authority (LA) areas. We used multilevel linear regression to investigate the relationship between age-adjusted Health referral rates and local need (demand factors) and local practice/systems (supply factors). We present a tool to compare unadjusted and adjusted LA rates. Results There was high LA variation in Health referral rates, particularly for infants (mean = 29.0/1000 children < 1 y; range = 6.5–101.8; sd = 12.4). LA variation persisted after age-adjustment. Child poverty (local need) and overall referral rate (local practice/systems) explained 60% of variation in age-adjusted Health referral rates. Overall referral rate was the strongest predictor. Adjusted referral rates were substantially different from unadjusted rates. After adjustment, 57.7% of LAs had higher/lower Health referral rates than expected. Conclusions While higher levels of local need are associated with higher Health referrals, some areas have high Health referrals irrespective of local need. Our tool demonstrates the benefits of using adjusted rates to compare LAs.

Funder

Academy of Medical Sciences

Wellcome Trust

NIHR

Economic and Social Research Council

Administrative Data Research Centre for England

Publisher

Oxford University Press (OUP)

Subject

Public Health, Environmental and Occupational Health,General Medicine

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