On January 27, 2023, the Centers for Medicare & Medicaid Services released a State Health Official (SHO) letter, “Medicaid Continuous Enrollment Condition Changes, Conditions for Receiving the FFCRA Temporary FMAP Increase, Reporting Requirements, and Enforcement Provisions in the Consolidated Appropriations Act, 2023.” The SHO letter is the second in a series of guidance related to section 5131 of the Consolidated Appropriations Act, 2023 (CAA), which established a fixed end date for the Medicaid continuous coverage requirement, a gradual phase-down for the enhanced federal match, and new guardrails for mitigating coverage loss for individuals who continue to be eligible. This expert perspective reviews the additional detail and operational expectations of states during the unwinding of Medicaid continuous coverage as laid out in the SHO letter.
Realizing the Potential of All-Payer Claims Databases: Creating the Reporting Plan
Freedman HealthCare, LLC—Linda Green, Amy Lischko, and Tanya Bernstein
States and regional collaboratives are moving ahead with creating all-payer claims databases (APCDs) to support health system measurement and improvement activities. While aggregated claims databases provide an unprecedented view of care across all settings, the process of collecting claims information alone does not improve health care quality or reduce costs. To effectively utilize the APCD and realize its full potential, states have begun to produce reports and analyses based on APCD data—a task requiring careful consideration and planning that has yielded many important
lessons. This paper examines the critical components of states’ APCD reporting efforts to date and suggests essential steps to creating credible and robust analytics. Drawn from interviews with APCD leaders, state-specific documents, and the experience of the authors, this paper is intended to help states with functioning and developing APCDs identify the building blocks necessary to create and evolve a comprehensive analytic program. This information may also be useful to those charged with designing APCD outputs, such as datasets and reports.