child protection and children ‘looked after’: the role of...
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Child protection and children ‘looked-after’: The role of socio-economic
inequalities
Paul BywatersCoventry University
Evidence Base
Project 1: Deprivation and Children’s Services’ Outcomes. What can mapping Looked After Children
and children on Child Protection Plans tell us? 2013-14. Nuffield Foundation.
Project 2: Identifying and Understanding Inequalities in Child Welfare Intervention Rates. 2015-17. Nuffield
Foundation.
Project 3: Understanding the Relationship between Poverty and Child Abuse and Neglect. A literature review. Joseph Rowntree Foundation and Nuffield
Foundation. 2015-16.
Looked After Children Rates in Wales and England 2015
2015 2015
Wales 89 England 60
Pembrokeshire 46 Wokingham 20
Ceredigion 62 Camden 43
Caerphilly 70 Newham 52
Denbighshire 83 Bury 69
Swansea 109 Coventry 79
Neath Port Talbot 156 Blackpool 158
Why do child welfare inequalities matter?
The economic argument
The human rights argument
The social justice argument
Inequities in Child Welfare
1. In who receives children’s services interventions: chances
2. In how services respond: experiences
3. In childhood and adult outcomes
Do children’s services reflect, reproduce, reinforce or reduce social inequities?
Problems with the evidence
1. No data collected about family circumstances
2. No official data on incidence or prevalence of maltreatment, have to use CPPs as proxy
3. No data at a level of geography below LA
4. Limited data on ethnicity
2 Studies
1. West Midlands study: 10% of all UK children; 13 LAs.
2. Four Nations Study (CWIP):
13% of English children in 18 LAs
100% of Welsh (22 LAs) and NI children (5 HSCBs)
50% of Scottish children (10 LAs)
4 key concepts
1. Relationship between social determinants and intervention rates
2. Social gradient
3. Intersectionality
4. Inverse care law
Intersectionality
CIN, CPP and LAC Rates per 10,000 Children at 31.3.12 (Midlands Sample).
White Mixed Asian Black Other All
CIN 253.7 351.5 109.4 226.7 298.9 235.8
CPP 39.5 62.9 21.6 34.1 37.7 37.7
LAC 64.4 122.7 17.7 71.9 51.6 60.5
Distribution of Child Population by Ethnic Group
Table 7: Percentage of West Midlands children aged 0-17 by ethnic category and deprivation
quintile (5 is most deprived).
Quintile 1 2 3 4 5 N
WBRI 15.3 19.9 18.3 19.3 27.2 824553
MWBC 4.9 12.8 11.4 18.6 57.6 35204
MWBA 6.8 21.8 11.5 18.9 51.6 4845
MWAS 10.1 26.9 13.6 17.8 46.1 18224
MOTH 8.1 18.3 12.3 17.8 52.2 10938
AIND 8.8 23.0 15.3 19.0 46.3 49772
APKN 1.5 2.9 5.6 12.3 78.3 89318
ABAN 1.4 2.2 4.5 8.0 84.3 22016
AOTH 4.6 10.1 10.0 17.7 61.5 22031
BAFR 1.7 3.7 5.5 12.1 77.8 22978
BCRB 1.5 4.7 8.2 14.4 72.4 17210
BOTH 1.2 2.8 5.1 11.8 79.7 12355
Intersectionality: Broad Categories
Table 10: West Midlands LAC rates (per 10000 children) overall and by ethnic
category in the most disadvantaged quintile (Q5)
Numb
er of
Childre
n on
LACs
LAC
Rate
Overall
LAC
Rate All
Q5
White
LAC
Rate Q5
Mixed
LAC
Rate Q5
Asian
LAC
Rate Q5
Black
LAC
Rate
Q5
All West
Midlands
Sample
7138 60.5 91.2 122.1
N=2893
159.6
N=589
20.8
N=260
78.3
N=310
Intersectionality: Multiple CategoriesTable 12: LAC Rates by Ethnic Category and Deprivation Quintile, where the
number of children is greater than 10.
1 2 3 4 5 All N =
WBRI 17.6 26.1 44.7 76.6 125.4 64.9 5355
MWBC 69.1 57.4 111.3 126.1 107.4 378
MWBA 164.1 84.0 86.7 42
MWAS 64.5 77.3 204.7 124.0 226
MOTH 124.4 96.5 179.9 245.0 185.6 203
AIND 10.6 14.3 10.4 52
APKN 11.9 20.9 18.8 168
ABAN 21.0 20.4 45
AOTH 46.3 31.0 30.9 68
BCRB 72.9 172.4 142.9 246
BAFR 50.5 39.1 40.5 93
ALL 17.9 26.7 42.7 69.4 91.2 60.5 7138
Inverse Intervention Law
Overall a child’s chances of an extreme child welfare intervention is much greater at higher levels of deprivation. But for any given level of neighbourhood deprivation, a child in a local
authority with low overall deprivation is morelikely to be on a CPP or to be a looked after child than a child in an equivalent neighbourhood in a
very deprived local authority.
Impact of IIL: Comparison of two LAs
County
Countyactual numbers, 2012 sample
Projected with Borough Rates Difference
% Difference
CPP 525 143 -382 -72.7LAC 605 333 -272 -44.9Total 1130 477 -653 -57.8
Impact of Inverse Intervention Law: comparison of two LAs, funding.
Expenditure per head, All 0-17, £, 2015
% of all aged 0-17 living in Quintile 5, 2014
Borough 822 55.1
County 537 3.8
Does poverty cause child abuse and neglect?
Can social workers do anything about family income and wealth?
Implications of an inequalities perspective
1. Data
2. Policy
3. Finances
4. Locus and focus of services
5. Practice
6. Inspection
7. Training
8. Research
To join the Child Welfare Inequalities Network on jiscmail go to
www.jiscmail.ac.uk/childwelfareinequalities
To become a stakeholder in the Child Welfare Inequalities Project contact Sophie Blackmore
ReferencesBywaters, P., Bunting, L. , Davidson, G. , Hanratty,J. , Mason, W. , McCartan, C. and Steils, N. (2016) The relationship between poverty, child abuse and neglect: an evidence review. York: Joseph Rowntree Foundation. https://www.jrf.org.uk/report/relationship-between-poverty-child-abuse-and-neglect-evidence-review Bywaters, P., Brady, G., Sparks, T., Bos, E., Bunting, L., Daniel, B., Featherstone, B., Morris, K. & Scourfield, J. (2015) Exploring inequities in child welfare and child protection services: explaining the ‘inverse intervention law’, Children and Youth Services Review, v. 57, October, pp. 98-105 doi: 10.1016/j.childyouth.2015.07.017 Bywaters, P. (2015) Cumulative jeopardy? A response to Brown and Ward. Children and Youth Services Review, online, doi:10.1016/j.childyouth.2015.03.001 Bywaters, P. (2015) Inequalities in child welfare: towards a new policy, research and action agenda. British Journal of Social Work, 45 (1): 6-23 doi:10.1093/bjsw/bct079 Bywaters, P., Brady, G., Sparks, T., and Bos, E. (2014) Inequalities in child welfare intervention rates: the intersection of deprivation and identity, Child and Family Social Work, doi:10.1111/cfs.12161 Bywaters, P., Brady, G., Sparks, T., and Bos, E. (2014) Child welfare inequalities: new evidence, further questions, Child and Family Social Work, doi:10.1111/cfs.12154