Bibliographic Details
| Title: |
National Trends in Implementing Wraparound: Results from the State Wraparound Survey. |
| Authors: |
Bruns, Eric, Sather, April, Pullmann, Michael, Stambaugh, Leyla |
| Source: |
Journal of Child & Family Studies. Dec2011, Vol. 20 Issue 6, p726-735. 10p. 2 Charts. |
| Subjects: |
Mental illness treatment, Analysis of variance, Chi-squared test, Community mental health services, Community mental health service administration, Statistical correlation, Medical care, Statistics, Surveys, T-test (Statistics), U-statistics, Children |
| Abstract: |
The wraparound process has been promoted in the children's services field as a mechanism to achieve collaborative service planning and delivery for families of young people with complex emotional and behavioral needs that span multiple agencies. We compared results of two surveys of state children's mental health directors, completed in 1998 and 2008, to derive estimates of the extent of wraparound implementation in the United States and to better understand trends in how wraparound has been implemented and supported over time. Results from 2008 found that 88% of states reported having some type of wraparound program that conformed to the definition and provided an estimate of 100,000 children and families served via wraparound in that year. Between 1998 and 2008, states reported increased application of wraparound standards, a greater number of agencies involved in wraparound initiatives, and more formal evaluations of wraparound initiatives. Results provide substantiation of the widespread implementation of wraparound implementation in the United States, and evidence that the model is becoming more consistently supported by formal implementation structures over time. [ABSTRACT FROM AUTHOR] |
|
Copyright of Journal of Child & Family Studies is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Database: |
Psychology and Behavioral Sciences Collection |