This issue brief provides a concise description for decision makers of why and how to commission effective evaluations of patient-centered medical home demonstrations. The authors discuss what outcomes to assess, why to include comparison practices, and the importance of accounting for clustering.

This working paper suggests that mode of interview has a modest impact on data quality for people with disabilities. It offers survey design steps that can minimize mode effects and maximize data quality.

This report projects health care spending in Minnesota from 2008 to 2018, updating Mathematica’s earlier projections completed in 2009. Changes to the input data are documented, as are changes to the methodology to account for the recession’s spending impacts and health care reform.

This issue brief provides a concise description for decision makers of why and how to commission effective evaluations of patient-centered medical home demonstrations. The authors discuss what outcomes to assess, why to include comparison practices, and the importance of accounting for clustering.