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Strategies for Data-Informed Decision Making in Child Welfare: Insights from the Pittsburgh Roundtable

This session focuses on the nuances of making informed decisions in the field of child welfare, emphasizing the implications of reduced entries and potential unintended consequences. It explores various strategies, including front-end and back-end approaches, while evaluating the dynamics of placement stability and community monitoring. Key themes involve using data effectively, understanding seasonality in population changes, and ensuring adequate support for children transitioning out of care. The insights from Larry Brown's roundtable aim to enhance decision-making processes within Pennsylvania’s child protective system.

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Strategies for Data-Informed Decision Making in Child Welfare: Insights from the Pittsburgh Roundtable

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Presentation Transcript

  1. Session IV: Making Data Informed Decisions(Ramblings from the Right Coast) Larry Brown, MSW PA Roundtable - Pittsburgh November 21, 2009

  2. “Stock and Flow” Model Courtesy of Chapin Hall Center for Children, University of Chicago

  3. Unintended Consequences(Imaginable Effects?) Reduced Entries • Other Potential Effects: • Re-occurrence of abuse or neglect (are children being SAFELY diverted?) • Keep an eye on the back end. Do discharges slow (LOS goes up) while you’re paying attention elsewhere? Front End Strategies

  4. Unintended Effects More Exits to Permanency • Other Potential Effects: • Look for re-entry issues (Are children leaving with adequate supports?) • Keep an eye on the front end. Back End Strategies

  5. Unintended Effects Less restrictive placements • Other Considerations: • Monitor and plan for what happens in your provider community. It may not be your lowest quality providers who go out of business. • Placement stability. Congregate Care Reduction

  6. Unintended Effects Fewer of subpopulation in care Other Considerations: • Monitor the other parts of the system. As you move members of the sub-population, do kids from other strata move in to backfill? (e.g., if you move kids out of congregate care, do intake criteria change to fill beds? Solution? Close beds.) • Case mix will also change. Affects system dynamics (e.g., reducing “easy” entrants may increase average LOS) Targeting Subpopulations

  7. Use Data That Meet YOUR Focus and Need • Use existing reports, but know their limits/blind spots • Supplement where needed • It’s not always about quantity…

  8. Three Helpful Ways to Compare Rates and Percents - do the work for your users Comparisons to Peers - motivational and political, but least useful; diagnostic Comparisons to Self Over Time - most valuable, IF the measure is useful

  9. When Building Reports:Do the work for the user Source: PA Data Update, NGA, June, 2009

  10. Other Things to Think About Seasonality.Many jurisdictions are tracking changes in population month-to-month, but many systems experience seasonality in their system. Monitoring.Strengths-based monitoring relies on leaving a little room for qualitative explanations. Investment Strategies. States should consider how their strategies work in terms of a return on investment. Integrated Work. The strongest, longest-lasting strategy is one that is consistent with the agency’s practice model.

  11. How to Proceed? ID targets Decide appropriate measures Watch for unintended, but imaginable, consequences Measure systematically; predict where you want to be Report routinely and transparently

  12. Team Time

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