Sudden deaths from acute myocardial infarction have been a current trend of health care problem of Indonesians. This condition may have impacted on the patient’s quality of life. The aim of this literature review was to identify factors that affected quality of life patient after acute myocardial infarction event. This review used a scoping review method. Literature searching was conducted using Google Scholar, Pubmed and Science Direct utilizing keywords: acute myocardial infarction, quality of life and questionnaire. The inclusion criteria were quantitative or qualitative study, peer-reviewed, published in 2008 – 2018. There were 18,035 papers retreived, only 19 papers met the inclusion criteria. Data were analyzed using content analyses. The findings of this study indicate that the quality of life of patients has decreased after experiencing acute myocardial infarction. Quality of life is influenced by 5 major factors, namely biological factors, emotional factors, physical factors, social factors and psychometric factors. There are 5 major factors that are proven to still affect the quality of life of patients with acute myocardial infarction. Further research is needed to determine psychometric factors in influencing quality of life. The instrument that can be used is macnew quality of life after myocardial infarction because it meets the psychometric criteria.
Background: Depression is a significant predictor of the quality of life among patients with coronary heart disease. Therefore, it is essential to explore the factors associated with depression. Illness cognition is considered one of the factors affecting depression. However, the relationship between illness cognition and the incidence of depression among Indonesian patients have not been widely investigated.Objective: This study aimed to investigate the correlation between illness cognition, consisting of the acceptance, perceived benefits, and helplessness variables, and depression in patients with coronary heart disease. Methods: This study employed a correlational research design with a total of 106 patients undergoing treatment at a hospital in West Java, Indonesia, selected using convenience sampling. Data were collected using a demographic questionnaire, Beck-Depression Inventory-II (BDI-II), and ICQ (Illness-Cognition Questionnaire). Data were analyzed using mean (SD), median, frequency distribution, and Spearman-rank. Results: 72% of respondents had no depression. Nevertheless, mild, moderate, and major depression suffered by 15%, 9%, and 4% of respondents, respectively. In terms of illness cognition, patients scored higher within the perceived benefits dimension (mean 20.13, SD 3.05), followed by acceptance (mean 18.22, SD 3.33) and helplessness (mean 13.20, SD 4.77), respectively. Furthermore, helplessness was significantly associated with depression (p <.01) with a positive correlation coefficient (r). Also, all items on the helplessness dimension had a significant correlation (p <.01) with depression accompanied by a positive r-value. Conclusion: Helplessness had a significant relationship with depression. So, cardiovascular nurses can anticipate depression in patients by making nursing interventions that can decrease the patients’ feelings of helplessness. Thus, factors that reduce helplessness need to be explored and taken into accounts in the treatment of patients with coronary heart disease.
Nursing education at post graduate degree aims to produce graduates with the essential competencies as researchers which are closely related to the capability of implementing information technology which are in the global health era. However, the implementation of blended learning which combines e-learning approach into the learning process has characterised with various challenges for students and lecturers. These study aims are to identify the effect of the blended learning approach to student satisfaction on the learning process in the master's degree nursing program in Indonesian context.Method: The study was conducted in 2018, the quantitative approach has been utilized. Participants in this study are 88 post graduate nursing students who were selected with purposive sampling. Data collection was conducted through survey and analysis correlational with Pearson test.Finding of the study has indicated that the Blended learning approach as indicated in: Quality of Learning Process (QLP) in terms of Student Engagement and Accessibility & interactivity on average is 83% favourable and 17% unfavourable; and QLP from students’ perspective is 58, 96% favourable and 41.04 % unfavourable. Student satisfaction with blended learning process on average is 54.75% favourable and 45.25% unfavourable. The results of the Pearson analysis have shown that there is a very weak correlation between the Blended Learning approach and Student Satisfaction with correlation value of 0.180 and Significance value of 0.864. In this case, almost all participants stated that blended learning is essential as it makes the learning process more innovative and it motivates independent learning.
BACKGROUND: This study was to examine potential factors associated with quality of life of post-acute coronary syndrome (ACS) patients. AIM: This study needs to be done because studies about post-ACS patient populations in Indonesia are limited. METHODS: It was a quantitative research with a descriptive-analytic approach. Post-ACS patients (n = 100) were taken from a central referral hospital in West Java Province, Indonesia. The dependent data were quality of life and measured using MacNew QLMI. The independent data were depression measured using Zung SDS, severity level, and knowledge, and demography data were measured using instruments developed by researchers. Statistical analysis was carried out in stages from univariate, bivariate, and multivariate. RESULTS: Data showed that 58% patients had a good quality of life, 36% patients had CAD without significant stenosis, and 33% got mild depression. About 59% patients got underwent revascularization, 52% had difficult time to hospital, 94% had BPJS insurance, and 86% were Sundanese. Bivariate analysis (CI 95%) showed that there was a significant correlation between depression and quality of life (p = 0.000), severity level (p = 0.033), type of intervention (p = 0.011), and also access to hospital (p = 0.002). Multivariate analysis showed that depression was the most significant factor associated with QOL (OR = 4.637, p < 0.05). DISCUSSION: Seven factors studied, only four factors significantly related to the quality of life of post-ACS patients, they were severity, depression, last medical treatment, and travel time to the hospital. CONCLUSION: Depression was the most significant factor related to the quality of life of post-ACS patients in this study. Changes in physical, emotional, and social conditions will affect depression. The findings of this study are expected to be evidence based for hospital institutions in identifying the quality of life of post-acute coronary syndrome patients.
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