This report examines the extent to which proposed options included in the Student Food Security Act, Let Students Eat proposal, and the EATS Act impact specific demographics of students, either by increasing access or by streamlining the process for qualifying students to demonstrate eligibility.
In this video, Benefits Data Trust Senior Product Manager Daniel Singer and Software Engineering Manager Preston Cabe present their eligibility screening platform including their rules engine, API, and DMN rules notation. The Cross-Sector Rules as Code Roundtable on February 22, 2024 was hosted by Rules as Code Community of Practice at the Digital Benefits Network.
Sharing lessons learned via the Medicaid Churn Learning Collaborative, which is working to reduce Medicaid churn, improve renewal processes for administrators, and protect health insurance coverage for children and families.
Each year, millions of college students struggle to pay for their education and basic needs, including food, childcare, housing, healthcare, and internet service. Among those students are a disproportionate number of first-generation students and students of color. This toolkit aims to build institutional capacity to enable all students to put food on the table, improve health outcomes, focus on school, and graduate.
Benefits Data Trust (BDT), in collaboration with the Center for Health Care Strategies (CHCS), conducted a nationwide analysis of how states coordinate across Medicaid and SNAP programs to streamline access to benefits. Between June and August of 2022, BDT and CHCS collected 114 survey responses from Medicaid and SNAP programs in 46 states and the District of Columbia.
This playbook is designed to help government and other key sectors use data sharing to illuminate who is not accessing benefits, connect under-enrolled populations to vital assistance, and make the benefits system more efficient for agencies and participants alike. It is a step-by-step guide to conducting smooth and efficient data sharing projects that are permissible and secure.
As a part of Benefit Data Trust (BDT)’s Medicaid Churn Learning Collaborative, BDT has created a memo describing policy options and state examples for Medicaid administrators to reduce churn for non-MAGI Medicaid enrollees when the federal public health emergency ends.
As a part of Benefit Data Trust (BDT)’s Medicaid Churn Learning Collaborative, BDT has created a memo describing strategies for states to collect current mailing addresses of Medicaid beneficiaries in advance of the Medicaid continuous coverage requirement — in effect under the federal public health emergency — unwinding.
Created by Benefits Data Trust, Benefits Launch Express is a high-level eligibility screening and assistance finder available to Philadelphia residents. The tool screens eligibility for 29 programs and is estimated to take up to 10 minutes to complete.
This toolkit is designed to help state and local WIC agencies leverage data from Medicaid and SNAP to measure enrollment gaps and increase enrollment using tools to plan, launch, and/or strengthen data matching and targeted outreach to eligible families who are not receiving WIC benefits.
Benefits Data Trust (BDT) has developed this “Medicaid Churn Toolkit” to guide Medicaid agencies and their partners in the design and implementation of efforts to reduce churn as they plan for the resumption of normal eligibility and enrollment actions after the after the initial COVID shock.
Accounting for the strong effects of health care access, this study finds that SNAP is associated with reduced hospitalization in dually eligible older adults. Policies to increase SNAP participation and benefit amounts in eligible older adults may reduce hospitalizations and health care costs for older dual eligible adults living in the community.
