| Summary: | 碩士 === 大葉大學 === 健康產業管理碩士在職學位學程 === 107 === Cardiovascular disease is the second leading cause among the 10 leading causes of death in Taiwan on 2017, only next to cancer. Furthermore, the coronary artery disease (CAD) is the first cause of death in all cardiovascular disease. CAD requires long-term treatment and risk factor control in order to stabilize the patients’ symptoms and maintain their quality of life. However, physiological, psychological and social factors also affect the long-term treatment response. Previously, few studies systematically explore these factors, so the purpose of this study is to explore andanalyze the treatment outcomes and predictors of CAD.
Methods: Through convenience sampling, the data of 118 patients who had coronary artery disease were collected and analyzed in a local teaching hospital in Yunlin, Taiwan. The research tools included Seatle Angina Questionnaire, Quality of Life Scale (SF-12 Chinese version), Hospital Anxiety and Depression Scale, Self-Care Scale, Medication Adherence Scale, Worried About Recurrence scale, and Case Basic Data sheet. The SPSS 22.0 for window package statistical software is used for data analysis. Data analysis was performed by statistical methods such as percentage, Background Information Form. Means and standard deviations (SD) were used to describe the levels. Pearson’s correlation, stepwise linear regression were used to identify related factors. To explore the relevant factors for predicting the therapeutic effectiveness of patients with coronary artery disease.
Results: The mean age of patients was 68.12 years (standard deviation = 10.98, range = 37-87). Majority of patients aremen (n = 91, 77.1%) and married (n = 98, 83.1%). 33.9% of CAD patients indicated that chest pain, chest tightness, or angina had occurred less than once a week. Most patients had good quality of life, perceived health status (n=105, 89.8%), and medication compliance (n=90, 76.2%).
Regression analysis was used to examine the predictive factors of the quality of life of
the physiological dimension. The results showed that age, education years, occupation, oral medication, unanticipated medical treatment within one year, disease sensitivity, self-care can significantly explain the quality life in physiological dimension. 29.9% of the variation, in which physical activity explained 17.3%, self care explained 6.9%, disease sensitivity explained 5.3%, and education in years explained 2.8%. The predictive factors of psychological dimension of quality of life are the results showing that gender, education, average income, oral medication, physical activity, self-care explain a total of 20.6% of the variance, of which physical activity explained 11.4%, average annual income explain 4.4%, the education years by 4.5%, and explain the general category of oral medication by 3.0%.
The predictive factors for the perceived health status were explained by 26.4% of the variance in education, marriage, occupation, work, physical activity, and self-care self-scoring. The results showed that the physical activity explained 9.9% and the self-evaluation care score explained. 4.9%, occupational explanation 4.6%, marriage interpretation 3.5%, disease sensitivity 3.5%. The predictive factors in the melancholy facet were the disease name, physical activity, and self-care self-rating scores, which can significantly explain the 12.4% variation in depression. The results showed that the physical activity explained 9.1% and the disease sensitivity was 4.8%. The results of this study provide a reference for healthcare professionals to treat and care for CAD patients to provide better care outcomes and quality of life for patients.
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