IDEAS home Printed from https://ideas.repec.org/a/eee/cysrev/v30y2008i7p800-808.html
   My bibliography  Save this article

Individual and provider effects on mental health outcomes in child welfare: A three level growth curve approach

Author

Listed:
  • Sieracki, Jeffrey H.
  • Leon, Scott C.
  • Miller, Steven A.
  • Lyons, John S.

Abstract

Approaches for treating children and adolescents with emotional and behavioral disorders within their communities have been implemented in counties, cities, and states throughout the United States. The goal of this study was to model course of improvement for individuals enrolled in a statewide community treatment program. Five hundred and sixty three children and adolescents (mean = 11.6 years at time of initial contact) receiving community-based services from 26 different agencies throughout Illinois were evaluated using the Child and Adolescent Needs and Strengths (CANS) measure. Hierarchical linear modeling (HLM) was applied to three levels of data: time (months in care), child-level (clinical, demographic data), and provider agency; the problem behaviors factor score of the CANS served as the measure of outcome. The results indicated that months in care, time 1 problem behavior score, caregiver needs and strengths, youth strengths, and school problems predicted course of improvement at the child level. Results also indicated that agencies (level 3) differed in client problem behavior reduction; however, this effect was much smaller than has been observed in other populations. Implications for service organization and delivery are discussed.

Suggested Citation

  • Sieracki, Jeffrey H. & Leon, Scott C. & Miller, Steven A. & Lyons, John S., 2008. "Individual and provider effects on mental health outcomes in child welfare: A three level growth curve approach," Children and Youth Services Review, Elsevier, vol. 30(7), pages 800-808, July.
  • Handle: RePEc:eee:cysrev:v:30:y:2008:i:7:p:800-808
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0190-7409(07)00252-6
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Troy, Jesse D. & Torrie, Ryan M. & Warner, Daniel N., 2021. "A machine learning approach for identifying predictors of success in a Medicaid-funded, community-based behavioral health program using the Child and Adolescent Needs and Strengths (CANS)," Children and Youth Services Review, Elsevier, vol. 126(C).
    2. Kraus, David R. & Baxter, Elizabeth E. & Alexander, Pamela C. & Bentley, Jordan H., 2015. "The Treatment Outcome Package (TOP): A multi-dimensional level of care matrix for child welfare," Children and Youth Services Review, Elsevier, vol. 57(C), pages 171-178.
    3. Summersett, Faith C. & Jordan, Neil & Griffin, Gene & Kisiel, Cassandra & Goldenthal, Hayley & Martinovich, Zoran, 2019. "An examination of youth protective factors and caregiver parenting skills at entry into the child welfare system and their association with justice system involvement," Children and Youth Services Review, Elsevier, vol. 99(C), pages 23-35.
    4. Trudeau, Kimberlee J. & Yang, Jichen & Di, Jiaming & Lu, Yi & Kraus, David R., 2023. "Predicting successful placements for youth in child welfare with machine learning," Children and Youth Services Review, Elsevier, vol. 153(C).
    5. Jonas Debusscher & Joeri Hofmans & Filip De Fruyt, 2014. "The Curvilinear Relationship between State Neuroticism and Momentary Task Performance," PLOS ONE, Public Library of Science, vol. 9(9), pages 1-16, September.
    6. Jennifer Pickett & Joeri Hofmans & Jonas Debusscher & Filip Fruyt, 2020. "Counterdispositional Conscientiousness and Wellbeing: How Does Acting Out of Character Relate to Positive and Negative Affect At Work?," Journal of Happiness Studies, Springer, vol. 21(4), pages 1463-1485, April.
    7. Dunleavy, Alison M. & Leon, Scott C., 2011. "Predictors for resolution of antisocial behavior among foster care youth receiving community-based services," Children and Youth Services Review, Elsevier, vol. 33(11), pages 2347-2354.
    8. Rosanbalm, Katie D. & Snyder, Elizabeth H. & Lawrence, C. Nicole & Coleman, Kanisha & Frey, Joseph J. & van den Ende, Johanna B. & Dodge, Kenneth A., 2016. "Child wellbeing assessment in child welfare: A review of four measures," Children and Youth Services Review, Elsevier, vol. 68(C), pages 1-16.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:cysrev:v:30:y:2008:i:7:p:800-808. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/childyouth .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.