A Bayesian Difference-in-Difference Framework for the Impact of Primary Care Redesign on Diabetes Outcomes James Normington Eric Lock Caroline Carlin Kevin Peterson Bradley Carlin 10.6084/m9.figshare.8952944.v1 https://tandf.figshare.com/articles/dataset/A_Bayesian_Difference-in-Difference_Framework_for_the_Impact_of_Primary_Care_Redesign_on_Diabetes_Outcomes/8952944 <p>Although national measures of the quality of diabetes care delivery demonstrate improvement, progress has been slow. In 2008, the Minnesota legislature endorsed the patient-centered medical home (PCMH) as the preferred model for primary care redesign. In this work, we investigate the effect of PCMH-related clinic redesign and resources on diabetes outcomes from 2008 to 2012 among Minnesota clinics certified as PCMHs by 2011 by using a Bayesian framework for a continuous difference-in-differences model. Data from the Physician Practice Connections-Research Survey were used to assess a clinic’s maturity in primary care transformation, and diabetes outcomes were obtained from the MN Community Measurement program. These data have several characteristics that must be carefully considered from a modeling perspective, including the inability to match patients over time, the potential for dynamic confounding, and the hierarchical structure of clinics. An ad-hoc analysis suggests a significant correlation between PCMH-related clinic redesign and resources on diabetes outcomes; however, this effect is not detected after properly accounting for different sources of variability and confounding. <a href="https://doi.org/10.1080/2330443X.2019.1626310" target="_blank">Supplementary materials</a> for this article are available online.</p> 2019-07-18 14:31:35 Bayesian hierarchical modeling Diabetes Difference-in-differences Errors in covariates Patient-centered medical home Primary care redesign