Resources and Toolkits
Risk Assessment Tools
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
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.
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.
Data and Analytic Approaches for Medical Frailty Exemptions
Resource outlining data and analytic approaches to support states through the technology implementation and integration process for Medicaid work requirements, with a focus on medical frailty exemptions.
Promising Practices in SNAP PER Reduction: A State Case Study
By Sarah Esty (Aspen Institute Financial Security Program) Phase 1: Preauthorization with simple rules, targeted reviews One state has been able to achieve a PER close to 6% through use of a preauthorization review (before cases are finalized) for all new applications, reinstatements, or cases adding a person. They have historically picked cases to review…
Promising Practices in SNAP PER Reduction: Data-Driven Preauthorization Reviews
By Sarah Esty (Aspen Institute Financial Security Program) and Eric Giannella (Georgetown University Better Government Lab) To assist states working to rapidly reduce SNAP payment error rates to avoid new cost-share requirements, the Safety Net Response Network has been convening monthly meetings of state data practitioners for peer learning around successful error reduction strategies. Through…
Metrics That Matter For States Under H.R. 1
Guide on how state agencies can develop legible and flexible metrics to assess implementation of new work requirements, outlining how to build, capture, and effectively utilize metrics to monitor impact for operational awareness and decisionmaking.
Integration Guide for Implementing System Changes
Is This Working? Data-Driven Strategies to Reduce SNAP Payment Error Rates
States can act to reduce their SNAP PERs but must move quickly for their efforts to impact their share of program costs in 2027.
