PURPOSE This study was done to identify the influencing factors of spiritual health in patients suffering from women cancers. METHODS The subjects were 130 in woman patients who were diagnosed with women cancer(breast Ca & uterine Ca) at three university hospitals and one general hospital. Data collection was conducted by using 4 questionnaires. The collected data were analyzed using frequency, percentage, t-test, ANOVA, Pearson's correlation coefficients, stepwise multiple regression. RESULTS Spiritual health score was middle. There were a significant correlation between spiritual health and depression, pain, fatigue and effects of religion. There were significant differences in spiritual health according to the education level, monthly income, meaning of religion or god, Frequency of attendance at worship. The most powerful predictor of spiritual health was depression(27.2%). Altogether depression, effects of religion, pain, and education level explained 46.1% of spiritual health of women cancer patients. CONCLUSION It suggested that concepts of depression, effects of religion, pain, and education level should be considered in developing spiritual health promoting program for women cancer patients.
PURPOSE This study was to identify the level of quality of life in patients with woman cancer across treatment phases. METHODS The research method was a cross-sectional descriptive study. Data was collected by questionnaires from 226 female, who were in- and out-patients. They were diagnosed with breast and uterine cancer from three university hospitals and two general hospitals. The instruments used for this study included, "the Quality Of Life Scale(QOL)". The collected data were analyzed using Frequency, Percentage, ANOVA, Two-Way ANOVA. RESULTS Quality of life of women cancer patients was significantly different according to three treatment phases. Quality of life of women cancer patients was not significantly different according to areas of disease in the three treatment phases. Quality of life of women cancer patients was significantly different according to level of fatigue in the three treatment phases. Quality of life of women cancer patients was significantly different according to level of perceived health status in the three treatment phases(F=60.14, p=.000). Quality of life of women cancer patients was significantly different according to education level(F=3.70, p=.027) & occupation(F=5.67, p=.018) in three treatment phases. CONCLUSION Strategies for intervention are needed to improve the quality of life in women cancer patients across the treatment phases. The significant several characteristics of affecting on quality of life across treatment phases should be considered in sociopsychological nursing intervention.