Hyunyoung Park | 2 Articles |
Purpose
The aim of this study was to identify the knowledge structure of nursing research on heart failure in Korea. Methods Fifty-two studies published in Korea and 41 published abroad by domestic researches from 1988 to 2019, were included. Meaningful morphemes from the abstracts were extracted and refined, and co-occurrence matrix was generated. Using Phython 3.7 for edge weight, degree centrality, closeness centrality, and betweenness centrality and Gephi 0.9.2 for visualization, 571 keywords were analyzed. Results The core keywords were “patient”, “heart failure”, “symptom”, “function”, “quality of life”, “self-care”, and “intervention”. The sociogram identified “patient”, “heart failure”, and “symptom” as the largest node, and the edge weight between the keywords was the highest. From 1988 to 2019, keywords such as “patient”, “heart failure”, and “symptom” ranked the highest. Especially, from 2016 to 2019, “quality of life”, “NYHA”, and “medication” ranked lower, but “cognition”, “health literacy”, “behavior”, “self-efficacy”, “man”, “woman”, and “age” newly appeared or ranked higher. Conclusion It is recommended that Korean heart failure nursing researchers conduct researches related to self-care for symptom management of heart failure patients, especially on nursing interventions. In addition, nursing researchers should conduct studies on the cognition and health literacy related to self-care of the elderly patients with heart failure Citations Citations to this article as recorded by
PURPOSE
The purpose of this study was to test a Winningham's psychobiologic entropy model (PEM) on cancer related fatigue (CRF) among patients with solid tumors. METHODS Participants consisted of 213 patients with solid tumors recruited from December, 2012 through June, 2013, in a university hospital, in Hwasun, South Korea. Primary symptoms, adjustment, physical activity, status of nutrition and fatigue were measured using structured questionnaires. Collected data were analyzed using SPSS 21.0 and AMOS 21.0 programs. RESULTS The modified model tested provided a reasonable fit to the data (χ2=65.80 [df=30, p<.001], TLI=.92, CFI=.95, RMSEA=.08, SRMR=.07). Primary symptoms (dyspnea, anxiety, depression and insomnia) had direct positive effects on CRF. Adjustment and status of nutrition showed indirect negative effects on CRF. However, the impact of physical activity was not significant. These variables explained 49.2% of the variance of CRF among solid tumor patients. CONCLUSION The findings demonstrate that the tested model explain some CRF among solid tumor patients and warrant future research considering the cancer-related clinical factors of the given population. Citations Citations to this article as recorded by
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