Profiles of risk: Identifying and treating youth and families at greatest risk during the COVID-19 crisis and beyond
Dr. Kristopher Stevens graduated from the University of Southern California with a Ph.D. in Clinical Psychology. Dr. Stevens has worked in community mental health settings for over fifteen years and has experience designing and delivering services, program development, implementation and evaluation, and research and consultation. Dr. Stevens’ main interest is in understanding the associations between adverse experiences, risk factors, and youth’s psychosocial development. Additionally, Dr. Stevens is interested in the development and integration of advanced data analytical tools to enhance service delivery and the organizational functioning of mental health agencies.
The COVID-19 crisis is compounding the risks faced by youth and families enrolled in community-based behavioral health programs and, in turn, is exacerbating their symptomatology and the problems they face within their homes, schools, and communities. Being able to identify youth and families at increased risk due to the COVID-19 crisis will lead to development and implementation of innovative processes and technologies that provide youth and families with the appropriate services to meet their behavioral and mental health needs. This webinar will discuss methods for identifying youth and families at-risk using agency and publicly available data, illustrate analytic methods to develop risk profiles for youth and families, demonstrate decision-support tools to guide agencies in-service development, targeting and delivery, and discuss how agencies can maximize their analytic potential. This topic is more relevant than ever given the current landscape in behavioral care; these data analytic techniques, and others like them, will give agencies a competitive edge in providing high-value services to those who need them the most.
a) The importance of identifying high-risk youth and families receiving services in a community mental health setting during the COVID-19 crisis and beyond.
b) Making the most of data within your agency/organization and integrating them with publicly available health and neighborhood quality data to identify youth and families’ risk profiles.
c) Designing and implementing intervention programs based on youth and families’ risk profiles.
d) Benefit of using data-driven decision support tools to enhance service delivery and organizational functioning and how to establish and support it within your agency/organization.
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