Date of Award
2015
Call Number
HG9386 .M3 2015
Document Type
USM Access Thesis
Degree Name
Master of Science (MS)
Department
Mathematics & Statistics
First Advisor
Cheng Peng
Second Advisor
Muhammad El-Taha
Third Advisor
James Graves
Keywords
Statistics, chronic conditions, age, elderly, commercial insurers, USM Aging Initiative, Health and Wellness
Abstract
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.
Recommended Citation
McGraves-Lloyd, Katharine M. MS, "Modeling & Mining Techniques to Understand Variations in Practice Utilization" (2015). All Student Scholarship. 121.
https://digitalcommons.usm.maine.edu/etd/121
Comments
This thesis is restricted to USM access only.
This document is copyrighted material. Under the copyright law, no parts of this document may be reproduced without the expressed permission of the author.