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Digging into Child Outcome Data

Digging into Child Outcome Data. SSIP In-Depth Data Analysis August 8, 2014 August 20, 2014. Blackboard. Blackboard Collaborate. Please Call 1-866-842-5779 Code: 463-661-9330#. Use phone for audio!. Call: 1-866-842-5779 Enter Code: 463 661 9330#. Mute Your Computer ’s Sound !. Chat.

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Digging into Child Outcome Data

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  1. Digging into Child Outcome Data SSIP In-Depth Data Analysis August 8, 2014 August 20, 2014

  2. Blackboard Blackboard Collaborate Please Call 1-866-842-5779 Code: 463-661-9330#

  3. Use phone for audio! Call: 1-866-842-5779 Enter Code: 463 661 9330# Mute Your Computer’s Sound!

  4. Chat Example

  5. Raise Hand Located on the left side of the screen under your name. *6 to unmute when called upon

  6. Polling How long have you been providing EI services? • Less than 1 year • 1-5 years • 6-10 years • 10-15 years • So long I’ve lost track look left

  7. Drawing Tool EXAMPLE

  8. Digging into Child Outcome Data SSIP In-Depth Data Analysis August 8, 2014 August 20, 2014

  9. Participants What is your role in early intervention? • Local system manager • VICC member • Service provider/service coordinator • Parent/family member • State ITCVA staff

  10. The Landscape • State Systemic Improvement Plan (SSIP) • Broad Data Analysis • Measurable Result • In-Depth Data Analysis • Children taking action to get needs met

  11. Purpose and Process • Root causes or contributing factors for lower performance • Looking at local data through regional meetings • Looking at statewide data by different variables • Evidence – Inference - Action

  12. Statewide Data • Race/Ethnicity • Medicaid, Non-Medicaid • Gender • Age at Entry • Age at Exit • Length of Time in EI

  13. Data Elements • Indicator rating at entry • Indicator rating at exit • Change from entry to exit

  14. Statewide Data by Variable Race/Ethnicity

  15. What Would You Expect? Would you expect there to be a difference in results on taking action to meet needs based on race/ethnicity? • Yes • No

  16. Evidence – Race/Ethnicity

  17. Inferences – Race/Ethnicity Why might we be seeing these differences?

  18. Evidence – Medicaid/Non-Medicaid

  19. Statewide Data by Variable Gender

  20. What Would You Expect? Would you expect there to be a difference in results on taking action to meet needs based on gender? • Yes • No

  21. Evidence - Gender

  22. Inferences - Gender Why might we be seeing these differences?

  23. Statewide Data by Variable Age at Entry & Exit;Length of Time in ei

  24. What Would You Expect? What are your expectations about the relationship between age at entry and results on taking action to meet needs?

  25. Expectations - Age at Entry • Enter early • Enter late • Enter mid-way MORE likely to exit with rating of 6-7 LESS likely to exit with rating of 6-7 MORE likely to increase rating from entry to exit MORE likely to decrease rating from entry to exit MORE likely to stay at the samerating from entry to exit

  26. Evidence – Age at Entry

  27. Inferences – Age at Entry Why might we be seeing these differences?

  28. What Would You Expect? What are your expectations about the relationship between age at exit and results on taking action to meet needs?

  29. Raise Your Hand If You Agree Children exiting before age 2 are more likely to have exit ratings of 6-7 than those exiting at 2-3 years old

  30. Evidence – Age at Exit

  31. Inferences – Age at Exit Why might we be seeing these differences?

  32. What Would You Expect? What are your expectations about the relationship between length of time in early intervention and results on taking action to meet needs?

  33. Expectations – Time in EI Generally, I would expect the following results: • Shorter time in EI = higher exit rating • Longer time in EI = higher exit rating • Length of time in EI does not impact results

  34. Evidence – Time in EI

  35. Inferences – Time in EI Why might we be seeing these differences?

  36. Are We Done Digging?

  37. Contributing Factors • Different populations • Impact of certain diagnoses • Impact of family situations • Personnel/Teaming Issues • Personnel at exit versus entry • Different level of teaming at exit • Provider turnover

  38. Contributing Factors • Process/Rating Issues • Inter-rater reliability • Developmental drift • Missing exit data • Degree of reliance on test items/scores • Strictness of interpretation of items in Child Indicator Booklet • Accounting for cultural differences, articulation issues, etc.

  39. Action – Next Steps • Based on list of contributing factors • Identify improvement strategies • Develop theory of action

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