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Evans, Elizabeth M. Wertz – ProQuest LLC, 2013
Health information technology has become more prevalent in hospitals, physician offices, clinics, and other areas of medical treatment, especially since the federal government passed legislation to offer incentive payments for the meaningful use of electronic health records (EHRs). Previous research demonstrated a decrease in medical errors as…
Descriptors: Nurses, Oncology, Productivity, Anxiety
Gleason, Michael – ProQuest LLC, 2013
Background: Breast cancer (BC), the most common cancer diagnosed in women in the United States, is a heterogeneous disease in which age-specific incidence rates (ASIRs) differ by race and mortality rates are higher in blacks than whites. Goals: (i) understand the reasons for the black-to-white ethnic crossover in the ASIRs; (ii) formulate a…
Descriptors: Cancer, Females, Racial Differences, African Americans
Wolfenden, Andrew – ProQuest LLC, 2012
The purpose of this quantitative correlation study was to examine the predictors of user behavioral intention on the decision of oncology care providers to adopt or reject the clinical decision support system. The Unified Theory of Acceptance and Use of Technology (UTAUT) formed the foundation of the research model and survey instrument. The…
Descriptors: Statistical Analysis, Correlation, Predictor Variables, Intention
Beverley, Charles St. Clare, Jr. – ProQuest LLC, 2013
Introduction: Breast cancer affects the lives of millions of women each year in the United States. Early detection by mammography screening can reduce the risk for advanced stages of breast cancer and improve the probability of long-term survival in women. Electronic medical records (EMRs) have been identified as a successful approach for…
Descriptors: Cancer, Females, Recordkeeping, Databases
Carney, Timothy Jay – ProQuest LLC, 2012
A study design has been developed that employs a dual modeling approach to identify factors associated with facility-level cancer screening improvement and how this is mediated by the use of clinical decision support. This dual modeling approach combines principles of (1) Health Informatics, (2) Cancer Prevention and Control, (3) Health Services…
Descriptors: Cancer, Screening Tests, Prevention, Public Health
Wragg, Regina E. – ProQuest LLC, 2013
This dissertation presents my explorations in both molecular biology and science education research. In study one, we determined the "ADIPOQ" and "ADIPORI" genotypes of 364 White and 148 Black BrCa patients and used dominant model univariate logistic regression analyses to determine individual SNP and haplotype associations…
Descriptors: Science Instruction, Cancer, Genetics, Whites

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