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Explore the importance of measuring Child Welfare Outcomes, including safety, well-being, permanence, and family and community indicators. Learn how these data can drive policy, practice, and decision-making for improved services and child well-being.
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Child Welfare Outcomes Integrating Outcomes into Our Core Business John McDermott May 2009
Measuring CI Outcomes • Why? • Impact of our supports and interventions • Encourage evidence-based decisions • Accountability • Where did we start? • National Outcome Measures • ACYS improved capacity to report NOM • ARM
Evolution of Outcome Based Services • ARM • Community Engagement • Differential Response • Permanency • Parental Involvement • Emphasis on Outcomes • CYFEA • Differential Response • Concurrent Planning • Shortened Timelines • Permanency
Evolution of Outcome Based Services • CWPM • Differential Response • Thorough Assessment/Re-assessment • Parental Involvement • Concurrent Planning • Attention to Timelines • Permanency • OBS • Improve effectiveness of services • Child well-being • Emphasis on Outcomes
Measuring CI Outcomes • What? • ACYS is attempting to report measures that reflect Child Welfare Outcomes Indicators Matrix • Today’s presentation: six indicators
Why measure these outcomes? • North America-wide consultative research by Trocme etal: An Ecological Framework • The same indicators recurred repeatedly and in subsequent work around the world • Consensus across P/Ts on these and their measures • IT Capability
CHILD WELFAREOUTCOME INDICATORS MATRIX DOMAIN INDICATOR 1. Safety 1.1√Recurrence of maltreatment 1.2 √Serious injuries/deaths 2. Well-Being 2.1 √School Performance 2.2 Child Behaviour 3. Permanence 3.1 √Admissions to Care (Out of Home Placement) 3.2 √Moves in Care 3.3 √Permanency Status 4. Family and Community 4.1 √Family moves Support 4.2 Parenting 4.3 √Aboriginal placementmatching
Considerations • How are these data useful? • Implications for policy, practice, management decisions, required inputs to the system • Questions these data raise for further data collection, analysis, interpretation
Considerations • How are these data useful? • Implications for policy, practice, management decisions, required inputs to the system • Questions these data raise for further data collection, analysis, interpretation