Resources and Toolkits
These 5 Million People Are About to Lose Their Medicaid — But They Don’t Have To
Tools for data-driven understanding Medicaid work requirements, including information about who’s at risk, automatic verification pathways, ex parte capability by state, coverage loss, and maps
Introducing Our User Experience Guide for Medicaid Work Requirements
Guide about the member-facing side of implementation, and why user experience is just as important as what happens on the backend
Unlocking the Potential of Payment Error Buffers Through Uncapped Benefit Analysis
Paper exploring how uncapped benefit calculations in payment error predictive models can help create space for more “buffer” and create inclusion or exclusion criteria for better targeted reviews and greater predictive power.
Projected Reductions in Medicaid Expansion Enrollment Under OBBBA’s Work Requirements and Six-Month Redeterminations
An analysis projecting Medicaid expansion disenrollments on the national, state, and subgroup level beginning in 2027, estimating between 4.9 million and 10.1 million adults could lose coverage by 2028 due to administrative barriers and reporting requirements.
SNAP PER Cost Share Projection: Impact of Removing the QC Tolerance Threshold
An interactive cross-state analysis tool demonstrating how removing the $58 SNAP QC tolerance threshold could increase payment error rates and related state costs.
SNAP Quality Control Error Viewer
An interactive dashboard that enables users to explore and monitor key metrics of the Supplemental Nutrition Assistance Program (SNAP) Quality Control (QC) system.
SNAP QC Error Viewer
An interactive dashboard that enables users to explore and monitor key metrics of the Supplemental Nutrition Assistance Program (SNAP) Quality Control (QC) system.
SNAP Quality Control Resources for States
Resource Hub including data visualization tools, modeling tips, and lessons gathered from States to support the work of QC data modeling nationwide.
Predictive Analytics for SNAP PER Reduction QC Data Workshop Summary
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.