Dr. Mullahy is examining the use of Multiple Chronic Conditions (MCCs) data as an indicator of individual and population health, functioning, and well-being. He is assessing whether this data can be used to establish metrics that will describe the status of, disparities in, and trajectories over time of population health. These metrics could serve as the foundation for the development of innovative approaches for using this readily available data source to evaluate changing patterns in population health. Researchers, clinicians, policymakers, and other stakeholders would then be better equipped to address MCCs and improve public health and health equity.
This study is designed to develop a new measure of health outcomes, with the primary purpose being to devise and implement empirical strategies to summarize the structure of multivariate outcomes like MCCs. MCC outcomes centering on the importance of MCC patterns, as well as how chronic condition count metrics relate to corresponding patterns within the confines of the same empirical methodologies and data.
A variety of metrics and estimated statistical models are being considered and assessed simultaneously and coherently in order to provide an analytical framework that accommodates analysis and reporting of a variety of MCC summary measures – patterns, counts, and other MCC-based metrics. This approach will create a method for assessing SES disparities, undertaking projections, evaluating covariate-adjustments and computing "marginal effects" of health determinants on MCC outcomes.