Factors predicting quality of life among patients with heart failure
Keywords:
quality of life, patients with heart failure, predicting factorsAbstract
This cross-sectional analytical study was aimed at examining the factors predicting quality of life among patients with heart failure. The sample was composed of 237 heart failure patients receiving health services in the outpatient departments of general medicine clinics, heart clinics and heart failure clinics for a total of 6 clinics and with 6 nurses assigned to those clinics at 2 tertiary hospitals in Thailand’s central region. Data were collected between January and September 2019 with questionnaires, interviews and data records. Descriptive and inferential statistics were used to study the factors predicting quality of life with simple linear regression analysis and multiple linear regression analysis.
According to the findings, the sample’s mean overall quality of life was moderate (median score = 24, IQR = 15-40) with low, moderate and good levels at 48.1, 22.8 and 29.1%, respectively. The factors predicting quality of life among patients with heart failure in this study were age (β = 0.126, p < 0.01), severity of co-morbidities (β = 0.172, p < 0.01) and depression (β = 0.629, p < 0.001) at 54.7% (R2= 0.547, p < 0.001). The depression factor was the highest predictor at 62.9%.
Recommendations from this study suggest that should design health services and develop the program to promote quality of life among patients with heart failure aimed preventing and reducing depression with consideration given to differences in the ages and severity of co-morbidities.
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