Measuring and monitoring churn at the state level: methods and data sources Measuring and monitoring churn at the state level: methods and data sources

Collection: Health Policy and Services Research Series Title(s): Issue brief (State Health Access Data Assistance Center, University of Minnesota) Author(s): Planalp, Colin, author Contributor(s): State Health Access Data Assistance Center, University of Minnesota, issuing body. Publication: Minneapolis, MN : State Health Access Data Assistance Center, June 2015 Language(s): English Format: Text Subject(s): Eligibility Determination -- legislation & jurisprudence Health Care Reform -- legislation & jurisprudence Insurance Coverage -- legislation & jurisprudence Insurance, Health -- legislation & jurisprudence United States United States. Genre(s): Technical Report Abstract: The purpose of this brief to explain: (1) The phenomenon of churn and how the dynamics are evolving under the ACA, (2) Examples of ways that states can reduce or mitigate churn, and (3) A framework for states to estimate the amount of churn affecting their Medicaid and marketplace populations, and how churn may be affected by different policy options for addressing the issue. This brief summarizes, "ACA Coverage Expansions: Measuring and Monitoring Churn at the State Level," one of a series of SHADAC white papers commissioned by the Office of the Assistant Secretary for Planning and Evaluation (ASPE) to explore innovative uses of data resources and analytic approaches that states can apply to monitor and evaluate health care reform efforts. The white paper, by Colin Planalp, Brett Fried, and Julie Sonier, with contributions from Amy Potthoff-Anderson and Jennifer Ricards, is available at http://www.shadac.org/publications/aca-coverageexpansions-measuring-andmonitoring- churn-state-level. Copyright: Reproduced with permission of the copyright holder. Further use of the material is subject to CC BY-NC-DC license. (More information) Extent: 1 online resource (1 PDF file (7 pages)) Illustrations: Illustrations NLM Unique ID: 101662834 (See catalog record) Permanent Link: http://resource.nlm.nih.gov/101662834