Administrative Data and Child Welfare Research

Using Linked Data to Improve Child Welfare Research, Policy, and Practice
1. Auflage 2019
ISBN: 978-0-367-89118-3
Verlag: Taylor & Francis Ltd

Buch, Englisch, 146 Seiten, Format (B × H): 174 mm x 246 mm, Gewicht: 553 g

Every day, social service agencies collect millions of pieces of data about the children and families they serve. Agencies depend on this data to inform decision-making by personnel throughout the organization and to provide meaningful research and evaluation on program effectiveness and outcomes. As capacity for collecting and utilizing data has increased so has the recognition that this data can and should be used more broadly. Further, it should include not just single-system data, but data across different human service agencies.

Administrative/big data systems can be powerful tools in increasing the efficiency and effectiveness of public child welfare services. Understanding, harnessing, and using big data holds tremendous promise in creating transformative change in the social services. Data analytics and data mining can lead to a better understanding of what services work for specific populations (targeting and predictive modelling), provide a more nuanced understanding of service outcomes for the workforce and major stakeholders (transparency), and facilitate collaboration across existing service delivery silos to reduce duplication of services and enhance consumer access to services (efficiency). This book was originally published as a special issue of the Journal of Public Child Welfare.

Zielgruppe

Postgraduate, Professional, and Undergraduate

Autoren/Hrsg.

Lee, Bethany R.

Farrell, Jill L.

Shaw, Terry

Fachgebiete

• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Gesundheitssystem, Gesundheitswesen
• Sozialwissenschaften Soziologie | Soziale Arbeit Soziale Arbeit/Sozialpädagogik

Inhaltsverzeichnis

Introduction 1. Four Principles of Big Data Practice for Effective Child Welfare Decision Making 2. Child Well-Being: Where Is It in Our Data Systems? 3. Dual-System Families: Cash Assistance Sequences of Households Involved With Child Welfare 4. Antipsychotic Use and Foster Care Placement Stability Among Youth With Attention-Deficit Hyperactivity/Disruptive Behavior Disorders 5. From Maltreatment to Delinquency: Service Trajectories After a First Intervention of Child Protection Services 6. Children in Out-of-Home Care and Adult Labor-Market Attachment: A Swedish National Register Study 7. The Relationship Between Child Maltreatment, Intimate Partner Violence Exposure, and Academic Performance

Über Autor(innen)

Terry V. Shaw is Director of the Ruth H. Young Center for Families and Children and an Associate Professor in the School of Social Work at the University of Maryland, USA. His research is focused on the experience of children in the child serving systems and how to leverage existing administrative data systems to improve policy and practice.

Bethany R. Lee is the Associate Dean for Research and an Associate Professor in the School of Social Work at the University of Maryland, USA. Her research is centered on services for youth involved in the public systems of child welfare and/or mental health.

Jill L. Farrell is a Research Assistant Professor in the School of Social Work at the University of Maryland, USA. Her research centers on evidence-based practices and the use of data to inform policy, with particular regard to juvenile justice.