Resources and Toolkits

Video outlining best practices for states to improve their risk assessment and error detection processes, including model design, review sequencing, feature engineering, review process optimization, and quick wins

Resource to explore and compare state-by-state data on eligibility processing, payment accuracy, and policy options

Conversation sharing drivers and targeted interventions to reduce SNAP Payment Error Rates, drawing on six months of hands-on research with Arizona, North Carolina, and Maryland

Workshop examining how predictive analytics and risk scoring can improve SNAP implementation and evaluation, using Conneticut as a case study.

JAMA Health Forum Viewpoint article examining how states can implement the Medicaid “medical frailty” exemptions under HR 1’s new work reporting requirements with recommendations for states to use flexible, clinically driven standards, multiple data sources, and priortize transparency to identify such individuals and prevent harmful coverage disruptions.

Workshop to foster collaboration and share modeling practices among state agencies in response to HR1’s new SNAP PER cost share requirements. Gathering encompassed convened a group of nearly 40 research and data analytics staff from across 15 states involved in SNAP QC data modeling.

A free resource that focuses on strategies that states can test immediately to reduce PER and lessen the burden on frontline eligibility workers

User-tested application templates and resources for Medicaid work requirements

Evidence-based recommendations for states to optimize implementation of work requirements include: integrating compliance and exemption information and reporting into a single streamlined process, designing clear and actionable notices, utilizing text communications, and building mobile-friendly platforms.