Professor Ilan Katz (Dr Sharon Goldfeld) May 2011
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Transcript of Professor Ilan Katz (Dr Sharon Goldfeld) May 2011
Kids in Communities Study (KICS)Measuring community level effects on children’s developmental outcomes
Professor Ilan Katz (Dr Sharon Goldfeld)May 2011
Centre for Community Child Health
Kids in Communities Study Collaboration
Sharon GoldfeldPaediatrician and Research Fellow, Centre for Community Child Health, Murdoch Childrens Institute,Royal Children’s Hospital, Melbourne
Sally BrinkmanSenior Research Fellow, Centre for Developmental Health, Curtin UniversityTelethon Institute for Child Health Research, University of Western Australia
Shiji ZhaoBranch Head, Analytical Services Branch, Methodology and Data Management Division,Australian Bureau Of Statistics
Laurie FordFaculty of Graduate Studies, Human Early Learning Partnership, University of British Columbia
Ilan KatzDirector, Social Policy Research Centre, University of New South Wales
Robert TantonPrincipal Research Fellow, National Centre for Social and Economic Modelling (NATSEM), University of Canberra
Elisabeth WatersMcCaughey Centre for the Promotion of Mental Health and Social Wellbeing, School of Population Health, University of Melbourne
Geoff WoolcockUrban Policy & Management, Urban Research Program, Griffith University
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KICS and the AEDI: Background to the AEDI
• Australian Early Development Index (AEDI) used as outcome measure of children’s development at school entry age
• Based on Canadian Early Development Index (EDI)• AEDI is a 100 item checklist completed by teachers – provides
a snapshot of children’s development at ~ age 5• AEDI data available at the small area level (suburb) and also
school but no individual data.• Carried out in 2009 and funding agreed for two further
national repetitions.• Every child entering school in Australia participates
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AEDI Domains
• Physical health & wellbeing• Social competence• Emotional maturity• Language & cognitive skills (school-based)• Communication skills & general knowledge
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Background to KICS:
• AEDI data analysis has revealed community level effects influencing AEDI outcomes
• These effects remain after controlling for family, teacher and school effects
• Of particular interest are ‘off-diagonal’ communities, with AEDI results that are either higher or lower than expected given the community’s SES
• KICS established by multidisciplinary collaboration of experts in Australia and Canada
• KICS team created a model for exploring community level effects through KICS domains
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“Off diagonal” communities – exceptions to the rule: learning from the extremes (healthy deprived areas-RESILIENT & unhealthy wealthy areas-AT RISK)
66th %ile
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“Off diagonal” communities – exceptions to the rule: learning from the extremes(healthy deprived areas-RESILIENT & unhealthy wealthy areas-AT RISK)
66th %ile
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MARIBYRNONG AEDI community, Victoria 5 km West of Melbourne
Prepared by: AEDI National Support Centre, GIS Source: ABS SEIFA Index of Relative Socio-Economic Disadvantage 2001
Level of disadvantage according to SEIFA Index (Socio-Economic Indexes for Areas)
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MARIBYRNONG AEDI Community, Victoria 5 km West of Melbourne
Prepared by: AEDI National Support Centre, GIS Source: AEDI Communities Data 2005
Proportion of children vulnerable on one or more domains
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State and federal government policies
State & federal government policies
Local Government
Community
Family
Child
Governance domain:Governance structures & policies
Service domain:Quantity, quality,
access and coordination of
services
Social domain:Social capital,
neighbourhood, attachment, crime,
trust, safety
Physical domain:Parks, public
transport, road safety, housing
Governance domain:
Citizen engagement
Socio-economic domain:
Community SES
Physical/Natural
Social
Socio-demographic
Governance/ leadership
Locality
Child developmental outcomes
Family
National policy
State policy
Local policy
Service
Community level factors influencing children’s developmentKids in Communities Study Collaboration Literature Review 2009
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Pilot Phase
Pilot phase timeline:
1. Collaborators allocated to virtual workgroups responsible for each of the 5 KICS factors or environments
2. Sub-factors determined for each of the KICS factor3. Measures and methodologies determined for each sub-factor4. Pilot community (Sunshine North, Melbourne) determined by ‘off-
diagonal’ virtual workgroup5. Methodologies tested
Results analysis and write-up
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ARC Linkage Proposal
Methodology:• Focus on ‘off-diagonal’ communities• Match a proportion of off diagonals with on-diagonals close by• Communities must have adequate numbers of children for data
accuracy• Approximately 40 communities across 5 states and territories
− NSW, VIC, Qld, SA, ACT− 15 in NSW
• 20 communities involve primary research
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Methodologies overview
• Household surveys• Neighbourhood observations• Geospatial mapping• Stakeholder interviews• Parent focus groups• Grey literature analysis• Governance observations
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Timelines
Year Stage/Time
Project milestone Outputs
1 1: Jan-June
Undertake analyses for off-diagonal communities and establish locations together with partners
Peer reviewed paper and policy report on model for off diagonal method.
1 2 :Mar-Sept
Finalise measures and commence research assistant training for data collection
Report on measures for partner organisations
1 2:From Jul: Contact commences with measurement in communities with associated data analysis
2 2: Jan-Dec Data collection and analysis 3 2: Jan-July Data collection and analysis3 3: Mar-Dec Synthesis of findings and final reporting 3x PhD
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Analyses to determine community level factors (including policy) most influencing child developmental outcomes in Australia and Canada
Development of appropriate indicators for community “wellbeing”
Implications for policy interventions
“intervention” trial
Potential collaboration outcomes
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Challenges: problems to solve!
• Defining ‘off diagonal’ operationally− May refer to average of all domains, one domain etc− How ‘off’ must it be?− Separating statistical anomalies from real effects
• Measuring system level change-the outcome/s of many inputs
• Differentiating between family, community and early school influence on wellbeing.
• Extracting general trends from site-specific factors.
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Ilan Katz
Professor and DirectorSocial Policy Research Centre
www.sprc.unsw.edu.au