Browsing by Subject "insurance"

Now showing 1 - 3 of 3
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    Analyzing the Correlations between the Uninsured and Diabetes Prevalence Rates in Geographic Regions in the United States
    (IEEE, 2017-07) Luo, Xiao; Computer Information and Graphics Technology, School of Engineering and Technology
    The increasing prevalence of diagnosed diabetes has drawn attentions of researchers in recently years. Research has been done in finding the correlations between diabetes prevalence with socioeconomic factors, obesity, social behaviors and so on. Since 2010, diabetes preventive services have been covered under health insurance plans in order to reduce diabetes burden and control the increasing of diabetes prevalence. In this study, a hierarchical clustering model is proposed by using Expectation-Maximization algorithm to investigate the correlations between the uninsured and diabetes prevalence rates in 3142 counties in United States for years from 2009 to 2013. The results identified geographic disparities in the uninsured and diabetes prevalence rates of individual years and over consecutive years.
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    Oncology clinical trials and insurance coverage: An update in a tenuous insurance landscape
    (Wiley, 2019-06-28) Obeng-Gyasi, Samilia; Kircher, Sheetal M.; Lipking, Kelsey P.; Keele, Benjamin J.; Benson, Al B.; Wagner, Lynne I.; Carlos, Ruth C.; Robert H. McKinney School of Law
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    Significant Factors Related to Failed Pediatric Dental General Anesthesia Appointments at a Hospital-based Residency Program
    (American Academy of Pediatric Dentistry, 2017-05) Emhardt, John R.; Yepes, Juan F.; Vinson, LaQuia A.; Jones, James E.; Emhardt, John D.; Kozlowski, Diana C.; Eckert, George J.; Maupome, Gerardo; Pediatric Dentistry, School of Dentistry
    Purpose: The purposes of this study were to: (1) evaluate the relationship between appointment failure and the factors of age, gender, race, insurance type, day of week, scheduled time of surgery, distance traveled, and weather; (2) investigate reasons for failure; and (3) explore the relationships between the factors and reasons for failure. Methods: Electronic medical records were accessed to obtain data for patients scheduled for dental care under general anesthesia from May 2012 to May 2015. Factors were analyzed for relation to appointment failure. Results: Data from 3,513 appointments for 2,874 children were analyzed. Bivariate associations showed statistically significant (P<0.05) relationships between failed appointment and race, insurance type, scheduled time of surgery, distance traveled, snowfall, and temperature. Multinomial regression analysis showed the following associations between factors and the reason for failure (P<0.05): (1) decreased temperature and increased snowfall were associated with weather as reason for failure; (2) the African American population showed an association with family barriers; (3) Hispanic families were less likely to give advanced notice; and (4) the "additional races" category showed an association with fasting violation. Conclusion: Patients who have treatment under general anesthesia face specific barriers to care.