The purpose of this study was to develop a heart health diary to promote self-care ability among patients with heart failure (HF), and to identify the diary's effect on self-care adherence, self-efficacy, and physical activity.

A randomized control-group pretest-posttest design was adopted using block randomization. A calender-typed health diary was developed and it included a self-care checklist and education information on HF management. The experimental group were given guided counseling and education for 8 weeks and wrote a daily health diary during that period. Data were collected from the outpatient department of a tertiary medical center from February to April 2016. To verify the hypotheses, data for the experimental group (n=28) and control group (n=33) were analysed using the independent t-test with SPSS/WIN 21.0.

At the end of 8 weeks the experimental group had significantly higher scores for self-care adherence (t=-2.48, p =.016) and exercise related self-efficacy (t=-3.44, p =.001) compared to the control group.

The findings show that the application of a patient-directed heart health diary is an effective nursing intervention for improving HF patients' self-care adherence and exercise self-efficacy. Strategies to promote dietary self-efficacy are necessary along with further studies including repeated research with an increasing intervention period. Healthcare providers need to encourage the utilization of a health diary for HF patients as a tool for evaluation and for implementation that leads to self-care.

The focus of this study was on symptom management to predict quality of life among individuals with heart failure. The theoretical model was constructed based on situation-specific theory of heart failure self-care and literature review.

For participants, 241 outpatients at a university hospital were invited to the study from May 19 to July 30, 2014. Data were collected with structured questionnaires and analyzed using SPSSWIN and AMOS 20.0.

The goodness of fit index for the hypothetical model was .93, incremental fit index, .90, and comparative fit index, .90. As the outcomes satisfied the recommended level, the hypothetical model appeared to fit the data. Seven of the eight hypotheses selected for the hypothetical model were statistically significant. The predictors of symptom management, symptom management confidence and social support together explained 32% of the variance in quality of life. The 28% of variance in symptom management was explained by symptom recognition, heart failure knowledge and symptom management confidence. The 4% of variance in symptom management confidence was explained by social support.

The hypothetical model of this study was confirmed to be adequate in explaining and predicting quality of life among patients with heart failure through symptom management. Effective strategies to improve quality of life among patients with heart failure should focus on symptom management. Symptom management can be enhanced by providing educational programs, encouraging social support and confidence, consequently improving quality of life among this population.

The purpose of this study was to identify the factors that influence the functional status of patients with heart failure.

A descriptive, correlational study design was used. The participants in this study were 260 patients with heart failure who were admitted at Y University and U University in Seoul, Korea. Between September 2005 and December 2005 data was collected by an interview using a questionnaire and from medical records. The Functional status was measured with KASI. Physical factors (dyspnea, ankle edema, chest pain, fatigue, and sleep dysfunction), psychological factors (anxiety and depression), and situational factors (self-management compliance and family support) were examined.

In general, the functional status, anxiety, depression, self-management compliance, and family support was relatively not good. The level of fatigue was highest and the level of ankle edema was lowest for physical symptom experiences. In regression analysis, functional status was significantly influenced by dyspnea(23%), age(13%), monthly income(7%), fatigue(3%), ankle edema(2%), depression(1%), and length of stay in the hospital(1%). These factors explained 50% of the variables in the functional status.

These results suggest that psycho-physiological symptoms management should be a focus to improve the functional status in patients with heart failure.