Date of Award
HG9386 .M3 2015
USM Access Thesis
Master of Science (MS)
Mathematics & Statistics
Statistics, chronic conditions, age, elderly, commercial insurers, USM Aging Initiative, Health and Wellness
This paper uses an All-Payer Claims Database to examine factors of practice utilization through the intersection of primary care and emergency department visits. The hypothesis was that demographic and health status factors would influence the practice utilization quadrant. Individuals with chronic conditions and older age would be more likely to be in the highest utilization quadrant. Healthier, younger individuals would be more likely to be in the lowest utilization quadrant.
McGraves-Lloyd, Katharine M. MS, "Modeling & Mining Techniques to Understand Variations in Practice Utilization" (2015). All Theses & Dissertations. 121.