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"Background: The United States has a total population of approximately 300 million people with nearly five million individuals affected by heart failure (HF). HF is the number one discharge diagnosis of the veteran population. Purpose: The purpose of this study focused on the predictive effects of proximity to health care, general health perception, and knowledge of HF on health-related quality of life (HRQOL) in the veteran population. Theoretical Framework: Wilson and Cleary\u0027s Health-Related Quality of Life Model. Methods: A correlational, cross-sectional survey design using four survey instruments (demographic data, SF-12, Dutch Heart Failure Knowledge Scale, Ferrans and Powers Quality of Life Index-Cardiac Version-IV). Data obtained was used to test the hypothesis. Results: The findings showed the HRQOL model was unidirectional and that the only predictive variable on HRQOL was proximity to health care. Conclusions: Limitations inherent in a small sample size and a translated instrument may have affected the findings. Implications include a qualitative study to understand the veterans\u2019 idea of their quality of life and a larger quantitative study."
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