IDEAS home Printed from https://ideas.repec.org/a/eee/cysrev/v75y2017icp69-76.html
   My bibliography  Save this article

Mental health needs and therapeutic service utilization of young children in foster care in Germany

Author

Listed:
  • Vasileva, Mira
  • Petermann, Franz

Abstract

Although children in foster care often need therapeutic help, the ways to initiate therapeutic services for them is not regulated in Germany. The objective of this cross-sectional study is to identify factors associated with therapeutic service utilization in young children in foster care in Germany. Additionally, it explores predictors of foster parents' perceived need for therapeutic help for the child. Foster parents of 286 children aged 3–7years completed questionnaires about children's mental health, child and placement characteristics. Logistic regression models tested the impact of these factors on therapeutic service utilization and foster parents' perceived need for child therapy separately for children with and without potentially traumatic experiences. Approximately 62% of the sample had some mental health problems; around 37% of these children received no treatment. Placement disruptions and cases where the child welfare services had the custodial rights predicted higher therapeutic service utilization. Foster parents' stress was associated with perceived need for help. Children's symptoms – especially externalizing problems – also predicted both outcomes. The findings indicate the need for strategies to increase therapeutic service utilization in young children in foster care on caregiver, system, and legislative levels. Such strategies should target routine assessment of children's mental health as well as interventions on foster family characteristics.

Suggested Citation

  • Vasileva, Mira & Petermann, Franz, 2017. "Mental health needs and therapeutic service utilization of young children in foster care in Germany," Children and Youth Services Review, Elsevier, vol. 75(C), pages 69-76.
    • Handle: RePEc:eee:cysrev:v:75:y:2017:i:c:p:69-76
    DOI: 10.1016/j.childyouth.2017.02.022
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0190740917301688
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.childyouth.2017.02.022?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

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

    References listed on IDEAS

    as
    1. Vanschoonlandt, Femke & Vanderfaeillie, Johan & Van Holen, Frank & De Maeyer, Skrällan & Robberechts, Marijke, 2013. "Parenting stress and parenting behavior among foster mothers of foster children with externalizing problems," Children and Youth Services Review, Elsevier, vol. 35(10), pages 1742-1750.
    2. van Buuren, Stef & Groothuis-Oudshoorn, Karin, 2011. "mice: Multivariate Imputation by Chained Equations in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 45(i03).
    3. Siobhan M. Ryan & John W. Toumbourou & Anthony F. Jorm, 2014. "Factors Associated With Service Use for Young Adolescents With Mental Health Problems," SAGE Open, , vol. 4(4), pages 21582440145, November.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Smales, Madelaine & Savaglio, Melissa & Webster, Susan & Skouteris, Helen & Pizzirani, Bengianni & O'Donnell, Renee & Green (nee Cox), Rachael, 2020. "Are the voices of young people living in out-of-home care represented in research examining their health?: A systematic review of the literature," Children and Youth Services Review, Elsevier, vol. 113(C).
    2. Katerina Paclikova & Zuzana Dankulincova Veselska & Andrea Madarasova Geckova & Jitse P. van Dijk & Sijmen A. Reijneveld, 2020. "Adolescent Enrollment in Psychosocial Care: Do Parents Make a Difference?," IJERPH, MDPI, vol. 17(19), pages 1-10, September.
    3. Jörns-Presentati, Astrid & Groen, Gunter, 2023. "Perceptions of interprofessional collaboration at the intersection of child welfare and child and adolescent psychiatry in Germany," Children and Youth Services Review, Elsevier, vol. 149(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Noémi Kreif & Richard Grieve & Iván Díaz & David Harrison, 2015. "Evaluation of the Effect of a Continuous Treatment: A Machine Learning Approach with an Application to Treatment for Traumatic Brain Injury," Health Economics, John Wiley & Sons, Ltd., vol. 24(9), pages 1213-1228, September.
    2. Abhilash Bandam & Eedris Busari & Chloi Syranidou & Jochen Linssen & Detlef Stolten, 2022. "Classification of Building Types in Germany: A Data-Driven Modeling Approach," Data, MDPI, vol. 7(4), pages 1-23, April.
    3. Boonstra Philip S. & Little Roderick J.A. & West Brady T. & Andridge Rebecca R. & Alvarado-Leiton Fernanda, 2021. "A Simulation Study of Diagnostics for Selection Bias," Journal of Official Statistics, Sciendo, vol. 37(3), pages 751-769, September.
    4. Christopher J Greenwood & George J Youssef & Primrose Letcher & Jacqui A Macdonald & Lauryn J Hagg & Ann Sanson & Jenn Mcintosh & Delyse M Hutchinson & John W Toumbourou & Matthew Fuller-Tyszkiewicz &, 2020. "A comparison of penalised regression methods for informing the selection of predictive markers," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-14, November.
    5. Liangyuan Hu & Lihua Li, 2022. "Using Tree-Based Machine Learning for Health Studies: Literature Review and Case Series," IJERPH, MDPI, vol. 19(23), pages 1-13, December.
    6. Norah Alyabs & Sy Han Chiou, 2022. "The Missing Indicator Approach for Accelerated Failure Time Model with Covariates Subject to Limits of Detection," Stats, MDPI, vol. 5(2), pages 1-13, May.
    7. Feldkircher, Martin, 2014. "The determinants of vulnerability to the global financial crisis 2008 to 2009: Credit growth and other sources of risk," Journal of International Money and Finance, Elsevier, vol. 43(C), pages 19-49.
    8. Ida Kubiszewski & Kenneth Mulder & Diane Jarvis & Robert Costanza, 2022. "Toward better measurement of sustainable development and wellbeing: A small number of SDG indicators reliably predict life satisfaction," Sustainable Development, John Wiley & Sons, Ltd., vol. 30(1), pages 139-148, February.
    9. Georges Steffgen & Philipp E. Sischka & Martha Fernandez de Henestrosa, 2020. "The Quality of Work Index and the Quality of Employment Index: A Multidimensional Approach of Job Quality and Its Links to Well-Being at Work," IJERPH, MDPI, vol. 17(21), pages 1-31, October.
    10. Christopher Kath & Florian Ziel, 2018. "The value of forecasts: Quantifying the economic gains of accurate quarter-hourly electricity price forecasts," Papers 1811.08604, arXiv.org.
    11. Esef Hakan Toytok & Sungur Gürel, 2019. "Does Project Children’s University Increase Academic Self-Efficacy in 6th Graders? A Weak Experimental Design," Sustainability, MDPI, vol. 11(3), pages 1-12, February.
    12. J M van Niekerk & M C Vos & A Stein & L M A Braakman-Jansen & A F Voor in ‘t holt & J E W C van Gemert-Pijnen, 2020. "Risk factors for surgical site infections using a data-driven approach," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-14, October.
    13. Joost R. Ginkel, 2020. "Standardized Regression Coefficients and Newly Proposed Estimators for $${R}^{{2}}$$R2 in Multiply Imputed Data," Psychometrika, Springer;The Psychometric Society, vol. 85(1), pages 185-205, March.
    14. Lara Jehi & Xinge Ji & Alex Milinovich & Serpil Erzurum & Amy Merlino & Steve Gordon & James B Young & Michael W Kattan, 2020. "Development and validation of a model for individualized prediction of hospitalization risk in 4,536 patients with COVID-19," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-15, August.
    15. Matthew Carli & Mary H. Ward & Catherine Metayer & David C. Wheeler, 2022. "Imputation of Below Detection Limit Missing Data in Chemical Mixture Analysis with Bayesian Group Index Regression," IJERPH, MDPI, vol. 19(3), pages 1-17, January.
    16. Gerko Vink & Laurence E. Frank & Jeroen Pannekoek & Stef Buuren, 2014. "Predictive mean matching imputation of semicontinuous variables," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 68(1), pages 61-90, February.
    17. Tsai, Tsung-Han, 2016. "A Bayesian Approach to Dynamic Panel Models with Endogenous Rarely Changing Variables," Political Science Research and Methods, Cambridge University Press, vol. 4(3), pages 595-620, September.
    18. Debra Javeline & Tracy Kijewski-Correa & Angela Chesler, 2019. "Does it matter if you “believe” in climate change? Not for coastal home vulnerability," Climatic Change, Springer, vol. 155(4), pages 511-532, August.
    19. Simon Grund & Oliver Lüdtke & Alexander Robitzsch, 2018. "Multiple Imputation of Missing Data at Level 2: A Comparison of Fully Conditional and Joint Modeling in Multilevel Designs," Journal of Educational and Behavioral Statistics, , vol. 43(3), pages 316-353, June.
    20. Svenja Meyn & Simon Blaschke & Filip Mess, 2022. "Food Literacy and Dietary Intake in German Office Workers: A Longitudinal Intervention Study," IJERPH, MDPI, vol. 19(24), pages 1-17, December.

    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:75:y:2017:i:c:p:69-76. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.