NCCD joins partnership to find and support students in St. Paul, Minnesota, who are at high risk for delinquency; Kathy Park and a small group of staff meet up with the makers of Milwaukee 53206; and our blog focuses on adult protection.
Learn how data gathered through Structured Decision Making® implementation can assist agency leadership in making policy decisions.
Chris Scharenbroch, NCCD’s associate director of research analytics, explores the concept of fairness when looking at risk among different populations in a new blog post, and CEO Kathy Park leads a session at the American Public Human Services Association National Health and Human Services Summit.
Supervisors who lack time to coach the caseworkers they oversee may want to check out the March issue of SDM News, which offers a solution.
Two articles in this month’s newsletter look at the pros and cons of predictive analytics. Also, NCCD staff will present at the American Society on Aging Conference, and NCCD is partnering with Kansas to improve decision making in child welfare.
Referencing major declines in surgery complication rates due to the adoption of a simple checklist, this issue of SDM News describes the advantages of breaking down complex tasks by using checklists.
NCCD celebrates a successful fundraising campaign and highlights two examples of noteworthy SDM® system implementations.
Using helpful analogies to other professions, this edition of SDM News explains how SDM assessment tools aid social workers in balancing professional judgment with information gained from the tools.
NCCD announces its new paper on “Principles for Predictive Analytics in Child Welfare” and points to a Los Angeles Times article about a supportive housing program in which NCCD is a partner.
There is currently great interest in the child welfare field in using predictive analytics, spurred on by "big data," to help children and families. But how do we mitigate the risks? In this report, Evident Change lays out principles for product development, evaluation, and practice to use predictive analytics responsibly and successfully.
The SDM® system is like a good friend: Both are reliable, with SDM assessment tools going through inter-rater reliability testing to determine how truly reliable they are.
Does Elder Abuse Type Tell Us Anything About Five-Year All-Cause Mortality?
It is widely recognized and accepted that confirmed elder mistreatment leads to higher risks of early all-cause mortality. Less understood is whether different types of confirmed elder mistreatment confer a greater risk for all-cause mortality compared to other confirmed types and whether having multiple types of concurrent confirmed elder mistreatment result in compounded risk for death. This webinar presents data from a single study using Texas Adult Protective Services data of confirmed elder mistreatment to predict 5-year all cause mortality among 5-different maltreatment types (i.e. caregiver neglect, physical abuse, emotional abuse, financial exploitation and polyvictimization). The findings will be discussed in relation to existing literature and the need for future well-designed mortality studies aimed at understanding the individual impact that different elder mistreatment types may have on mortality.
Presenter: Jason Burnett, PhD
UTHealth, McGovern Medical School at Houston
Co-Director of the Texas Elder Abuse and Mistreatment Institute
Director of the UTHealth, Forensic Assessment Center Network-APS Division