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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

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 calculat...

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Autores principales: Emmott, E H, Mc Grath-Lone, L, Harron, K, Woodman, J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8042370/
https://www.ncbi.nlm.nih.gov/pubmed/31211394
http://dx.doi.org/10.1093/pubmed/fdz050
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author Emmott, E H
Mc Grath-Lone, L
Harron, K
Woodman, J
author_facet Emmott, E H
Mc Grath-Lone, L
Harron, K
Woodman, J
author_sort Emmott, E H
collection PubMed
description 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.
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spelling pubmed-80423702021-04-16 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 Emmott, E H Mc Grath-Lone, L Harron, K Woodman, J J Public Health (Oxf) Original Article 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. Oxford University Press 2019-06-18 /pmc/articles/PMC8042370/ /pubmed/31211394 http://dx.doi.org/10.1093/pubmed/fdz050 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of Faculty of Public Health. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Emmott, E H
Mc Grath-Lone, L
Harron, K
Woodman, J
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
title 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
title_full 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
title_fullStr 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
title_full_unstemmed 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
title_short 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
title_sort 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
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8042370/
https://www.ncbi.nlm.nih.gov/pubmed/31211394
http://dx.doi.org/10.1093/pubmed/fdz050
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