1. Child Welfare Outcomes Integrating Outcomes into Our Core Business John McDermott May 2009

2. 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

3. Evolution of Outcome Based Services ARM  Community Engagement  Differential Response  Permanency  Parental Involvement  Emphasis on Outcomes CYFEA  Differential Response  Concurrent Planning  Shortened Timelines  Permanency

4. 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

5. Measuring CI Outcomes What?  ACYS is attempting to report measures that reflect Child Welfare Outcomes Indicators Matrix  Today’s presentation: six indicators

6. Why measure these outcomes? North America-wide consultative research by Trocme et al: 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

7. CHILD WELFARE OUTCOME INDICATORS MATRIX DOMAININDICATOR 1. Safety1.1√Recurrence of maltreatment 1.2 √ Serious injuries/deaths 2. Well-Being2.1 √ School Performance 2.2Child Behaviour 3. Permanence 3.1 √ Admissions to Care (Out of Home Placement) 3.2 √ Moves in Care 3.3 √ Permanency Status 4. Family and Community4.1 √ Family moves Support4.2Parenting 4.3 √ Aboriginal placement matching

8. 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

9. Recurrence of Service

10. Return to Family Enhancement versus Child Protection

11. Admission to Care

12. Aboriginal Placement Matching

14. Moves in Care

16. Permanency Status

17. School Performance

18. 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