At the request of Minnesota’s State-Based Health Insurance Marketplace, MNsure, researchers from the University of Minnesota’s State Health Access Data Assistance Center (SHADAC) compiled data from a variety of sources to analyze, at an aggregate level, the shifts in health insurance coverage that have taken place in Minnesota since the fall of 2013. Support for this work was provided through the Robert Wood Johnson Foundation’s State Health Reform Assistance Network.
A better understanding of the diverse sources of administrative data avilable from the state and federal health insurance marketplaces is required in order to respond to questions about the performance of exchanges during the first open enrollment period and about the viability of exchanges in the future.
This paper examines enrollment-related data issues faced by states during the first ACA open enrollment period, including variation in data elements collected through marketplace applications as well as variation in state approaches to public reporting on enrollment data. This paper will also look ahead to potential research questions and uses for data already collected and consider new data collection needs.
Through provisions designed to improve access to affordable health coverage, the ACA is expected to reduce the number of people who cycle between Medicaid coverage and uninsurance — a concept commonly called “churn.” However, people experiencing transitions between health insurance plans still face barriers related to the continuity of care, potentially aggravating health conditions and increasing costs of care. As states look for ways to monitor and project churn, as well as consider policies for reducing the scope or impacts of the phenomenon, this paper describes possible methods and data sources for producing state-level churn estimates.
This paper provides states with information on ways in which they can monitor the private health insurance market over time. This information includes key analytic questions of interest; examples and recommendations of state-level analyses of the regulated health insurance market; and a comparison of two data sources states can use for monitoring and reporting purposes. The two data sources that we explore are the data collected by the Center for Consumer Information and Insurance Oversight (CCIIO) for the purposes of regulating privae health insurers' medical loss ratios (MLRs) and the insurer data collected by the National Association of Insurance Commissioner (NAIC). We consider the differences between these two data sources and identify the key analytic questions that can be best answered by each data source.
The State Health Access Data Assistance Center (SHADAC) is a program of the Robert Wood Johnson Foundation and a part of the Health Policy and Management Division of the School of Public Health at the University of Minnesota