The purpose of this study was to establish the relationship between heart failure and variables such as age, gender, race and hypertension. In this project the data utilized are from the National Inpatient Sample of Health Care Cost and Utilization (HCUP). The software used for running statistical analysis was the Statistical Package for the Social Sciences (SPSS) version 19.0. The aim of the project was to find the association and impact of variables on patients with a diagnosis of heart failure.
The final conclusion was that age and race play significant roles in heart failure (HF). The limitation of the study was that the data was cross-sectional and could not be used for the determination of causal factors. In most cases whenever heart failure is the cause of the death, there is no mention of related or underlying disease leading to heart failure.
|School:||California State University, Long Beach|
|School Location:||United States -- California|
|Source:||MAI 49/05M, Masters Abstracts International|
Copyright in each Dissertation and Thesis is retained by the author. All Rights Reserved
The supplemental file or files you are about to download were provided to ProQuest by the author as part of a
dissertation or thesis. The supplemental files are provided "AS IS" without warranty. ProQuest is not responsible for the
content, format or impact on the supplemental file(s) on our system. in some cases, the file type may be unknown or
may be a .exe file. We recommend caution as you open such files.
Copyright of the original materials contained in the supplemental file is retained by the author and your access to the
supplemental files is subject to the ProQuest Terms and Conditions of use.
Depending on the size of the file(s) you are downloading, the system may take some time to download them. Please be