Topic: Data Sharing
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Data Matching and Verifying Client Data Using Linkages Across Benefit
Data linking is an important tool that lets benefits program administrators efficiently determine eligibility, and ensure that applicants receive all of the benefits for which they are eligible. This resource provides examples and practical guides that explain how to use existing regulations and data sharing agreements to transfer client information or eligibility status between benefit programs.
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Data Conducting Outreach for Benefits Cross Enrollment
This resource outlines strategies for cross-enrollment outreach, which can break down silos between programs and reach applicants who may be eligible for under-enrolled benefits programs.
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Data Better Data Sharing for Benefits Delivery
This policy brief outlines how improved data sharing between federal agencies, state and local governments, and institutions can leverage existing data from other benefits programs to streamline eligibility processes and benefits uptake for the Affordable Connectivity Program (ACP) and other programs.
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Data Toolkit: Increasing WIC Coverage Through Cross-Program Data Matching and Targeted Outreach
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.
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Data The Unfinished Business of the ACA
“Interoperability” refers to systems’ ability to interact with each other to share data so that a customer is connected with as many benefits as possible in an efficient way. The Affordable Care Act (ACA) was originally intended to be interoperable, but this has not occurred yet. Promoting interoperability in the ACA is imperative, as it would help alleviate food insecurity through automatic benefits enrollment.
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Data Eligible Low-Income Children Missing Out on Crucial WIC Benefits During Pandemic
The share of WIC-eligible families participating in the program has declined, though the number of individuals eligible for WIC has likely grown substantially. By working together, state WIC, Medicaid, and SNAP leaders can use data to assess the extent to which WIC is reaching eligible families and enroll more of them.
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Data California Health and Human Services Agency Data Playbook
This data playbook created by the California Health and Human services agencies discusses five plays designed to help Departments utilize data to inform program and policy development.
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Data Using Data Matching and Targeted Outreach to Enroll Families With Young Children in WIC
WIC enrollment has declined over the past decade, but evidence from randomized control trials indicates that using data from other programs to identify WIC-eligible families and following up with text-based outreach can boost program participation.
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Data Using SNAP Data for Medicaid Renewals Can Keep Eligible Beneficiaries Enrolled
Medicaid enrollees must renew their eligibility every 12 months, resulting in extensive “churn,” whereby eligible people continuously cycle on and off of Medicaid instead of remaining continuously enrolled. States can use detailed SNAP income data to reduce churn and thus reduce the burden on beneficiaries and agencies.
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Data Matching Data Across Benefits Programs Can Increase WIC Enrollment
Although Medicaid and SNAP participants are automatically income-eligible for WIC, many don’t enroll. Pilot projects in four states have shown that matching data across programs to identify these families and conducting outreach to them can increase WIC enrollment.
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Data Maximizing Linkages: A Policymaker’s Guide to Data Sharing
Maximizing Linkages: A Policymaker’s Guide to Data Sharing
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Data How Data Sharing Can Improve Equitable Access to Public Programs
Accessing safety net benefits can involve complicated and duplicative processes that create barriers to access. Using cross-enrollment strategies can minimize the difficulties community members face in getting access to life-saving resources.