1 / 8

General Growth Mixture Modeling and Propensity Analysis: Evaluating an Integrated Services Program for Children With

General Growth Mixture Modeling and Propensity Analysis: Evaluating an Integrated Services Program for Children With Serious Emotional Disorders. Paul E. Greenbaum and Eric C. Brown Department of Child and Family Studies Louis de la Parte Florida Mental Health Institute.

maylin
Télécharger la présentation

General Growth Mixture Modeling and Propensity Analysis: Evaluating an Integrated Services Program for Children With

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. General Growth Mixture Modeling and Propensity Analysis: Evaluating an Integrated Services Program for Children With Serious Emotional Disorders Paul E. Greenbaum and Eric C. Brown Department of Child and Family Studies Louis de la Parte Florida Mental Health Institute Funded by “Evaluation of the Comprehensive Community Mental Health Services for Children and their Families Program-Evidenced-Based Treatment” (PIs: Robert M. Friedman, Paul E. Greenbaum, & Mario Hernandez), ORC MACRO award #35064-OS-336.

  2. Background Intervention: ·“System-of-Care” integrated services for children with emotional and behavioral problems. ·Theory states that providing a full-range of community-based, child-centered (individualized), culturally competent, and family-focused services will reduce children’s problem behavior. Sites: ·Demonstration site, Stark County--a “System-of-Care” public mental health system that supplied integrated services. Comparison site, Youngstown--a traditional public mental health system. ·Sites were from the same State and matched on county demographics for gender, age, and race/ethnicity.

  3. Method Participants: ·Participants were consecutively enrolled. ·442 children and their primary caretakers. ·Mean age was 11.3 years (SD = 3.2) ranging from 6 to 17 years. ·Stark (n = 228) and Youngstown (n = 214). Measure: ·Delinquent Syndrome Scale of the Child Behavior Checklist/4-18 (Achenbach, 1991). ·13 items, each rated on a 3-point scale (Not true, Sometimes True, Often True).

  4. Figure 1.Site Effect – Unadjusted for Propensity Score Delinquent CBCL Score Time

  5. Figure 2.Site Effect – Adjusted for Propensity Score Delinquent CBCL Score Time

  6. Figure 3.GGMM – 4 Classes - Propensity Score Adjusted Delinquent CBCL Score 41% 21% 33% 4% Time

  7. Figure 4.CLASS 4 – Site Effect Delinquent CBCL Score Time

  8. Figure 5.CLASS 3– Site Effect Delinquent CBCL Score Time

More Related