| Title |
Evaluating Child Welfare Policies with Decision-Analytic Simulation Models
|
|---|---|
| Published in |
Administration and Policy in Mental Health and Mental Health Services Research, August 2011
|
| DOI | 10.1007/s10488-011-0370-z |
| Pubmed ID | |
| Authors |
Jeremy D. Goldhaber-Fiebert, Stephanie L. Bailey, Michael S. Hurlburt, Jinjin Zhang, Lonnie R. Snowden, Fred Wulczyn, John Landsverk, Sarah M. Horwitz |
| Abstract |
The objective was to demonstrate decision-analytic modeling in support of Child Welfare policymakers considering implementing evidence-based interventions. Outcomes included permanency (e.g., adoptions) and stability (e.g., foster placement changes). Analyses of a randomized trial of KEEP-a foster parenting intervention-and NSCAW-1 estimated placement change rates and KEEP's effects. A microsimulation model generalized these findings to other Child Welfare systems. The model projected that KEEP could increase permanency and stability, identifying strategies targeting higher-risk children and geographical regions that achieve benefits efficiently. Decision-analytic models enable planners to gauge the value of potential implementations. |
Mendeley readers
The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 3% |
| Unknown | 72 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 20% |
| Other | 8 | 11% |
| Student > Ph. D. Student | 8 | 11% |
| Student > Master | 7 | 9% |
| Student > Doctoral Student | 6 | 8% |
| Other | 13 | 18% |
| Unknown | 17 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 25 | 34% |
| Psychology | 13 | 18% |
| Medicine and Dentistry | 7 | 9% |
| Nursing and Health Professions | 3 | 4% |
| Mathematics | 1 | 1% |
| Other | 4 | 5% |
| Unknown | 21 | 28% |