Webinar event date: 
déc 8, 2023 11:30 am EST
Webinar Presenters: 
John D. Fluke, PhD

Dr. Fluke is Associate Director for Systems Research and Evaluation at the Kempe Center with joint appointments as a Professor in the Department of Pediatrics at the University of Colorado School of Medicine and the Department of Epidemiology at the Colorado School of Public Health. Dr. Fluke’s research is focused on child protection decision-making and child maltreatment epidemiology. He is known internationally for his innovative and informative research and evaluation work in the areas of child welfare administrative data analysis, workload and costing, child welfare workforce intervention studies, and performance and outcome measurement for children and family services. For the US government he has been PI or key staff for research and evaluation projects focused on improving the evidence base for various interventions with the US Health and Human Services Children’s Bureau, the Substance Abuse and Mental Health Services Administration (SAMSHA), the Office of the Assistant Secretary for Planning and Evaluation (ASPE), and with the US Agency for International Development (USAID). He has authored or co-authored more than 80 peer reviewed publications, as well as numerous book chapters, reports and presentations. He has co-edited three books National Systems of Child Protection through Springer Press and Decision Making and Judgement in Child Welfare and Protection: Theory, Research, and Practice through Oxford University Press, and The Sage Handbook of Decision Making, Assessment and Risk in Social Work.

Description

Workforce turnover and retention is a perennial concern for child welfare agency management with implications for service outcomes for families and children. Nevertheless, there is scant evidence supporting the effectiveness of interventions aimed at improving retention. Combined with data from Human Resource (HR) and targeted staff surveys, continuous quality improvement applications (CQI) can help shape the scaffolding needed to increase the prospects for identifying, implementing, and evaluating more effective interventions. This webinar will provide evidence for the use of turnover intentions and statistical predictors as leading indicators of turnover. Combined with the capacity for real time trend monitoring these indicators can provide a basis for forecasting turnover, and monitoring interventions.