Yu-Fen Chen

Ms. Yu-Fen Chen

orcid

Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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YCYu-Fen Chen
Yu-Fen Chen
MCMei-Yu Chang
Mei-Yu Chang
LCLok-Hi Chow
Lok-Hi Chow
WMWei-Fen Ma
Wei-Fen Ma
Background: Intensive care unit (ICU) patients experience multiple uncomfortable symptoms, which may be alleviated using music-based intervention, a nondrug treatment. This umbrella review aims to combine the data of systematic reviews and/or meta-analyses to evaluate the effectiveness of music-based intervention in improving uncomfortable symptoms in ICU patients. Methods: A comprehensive literature search was performed on the PubMed, Embase, Cochrane Library, Airiti Library, CINAHL, ProQuest, and Web of Science databases, and Epistemonikos. The search had no language restrictions, and articles on the improvement of symptoms using music-based intervention in adult ICU patients were included. This review protocol was registered on PROSPERO (CRD42021240327). Results: This umbrella review retrieved 5 systematic reviews and 41 original studies, including 39 randomized controlled trials, and 2 nonrandomized controlled trials. Diverse music was the most common music type used for music-based intervention, the intervention music was typically decided by the study participants (61%), and most subjects underwent one intervention session (78%). Furthermore, most music intervention sessions lasted for 30 min (44%). The positive results included decreased anxiety, decreased pain, decreased agitation, decreased anesthesia dose and sedative use, decreased chances of delirium, decreased feelings of uncomfort, and improved sleep quality. Conclusions: A systematic review on the effectiveness of music-based intervention in improving uncomfortable symptoms in ICU patients revealed that 20–30 min intervention sessions showed the best improvement in the uncomfortable symptoms in patients. This study provides a basis for using music-based intervention to relieve the uncomfortable symptoms in critically ill ICU patients, and a reference for empirical clinical practice.

31 October 2021 in Healthcare
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Journal Article
Open access
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TYTzu Pei Yeh
Tzu Pei Yeh
LHLi-Chi Huang
Li-Chi Huang
YCYu-Fen Chen
Yu-Fen Chen
JCJui-Fen Cheng
Jui-Fen Cheng
Background: Schizophrenia requires lifelong treatment; Second-generation Antipsychotics (SGAs) have become the most prescribed medication for schizophrenia patients. The efficacy of various SGAs treatment may differ in schizophrenia patients with various traditional Chinese medicine (TCM) body constitution (BC) types. Method: This study applied a longitudinal quantitative research design, where a total of 66 participants were recruited. The Positive and Negative Symptom Scale (PANSS) and the Clinical Global Impression (CGI) score were used to evaluate patients’ psychopathology status in hospitalization, and body constitution questionnaires were conducted by face-to-face interviews in the 1st, 3rd, and 6th week of hospitalization. Results: More than 60% of schizophrenia patients who were treated with SGAs were classified to have unbalanced BC types including Yin-Xu, Yang-Xu and Stasis. Generalized estimating equation analysis revealed significant time effects in CGI and PANSS score improvements in both unbalanced and gentleness (balance) BC types, but no significant changes in the group and group-time interaction in the CGI and PANSS scores in different BC type groups. Conclusions: Schizophrenia patients under SGAs treatment had a higher proportion of unbalanced BC types which may lead to poorer physical or mental statuses, such as overweight problems. Health care providers could apply interventions according to patients’ BC types for disease prevention.

1 January 2019 in International Journal of Sciences
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Journal Article
Open access
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YCYu-Fen Chen
Yu-Fen Chen
With the popularization of smart devices, the threshold for implementing cloud mobile learning is decreasing. With higher education presently facing the need for reform and innovation, this study addresses this need based upon the framework of activity theory. It implements a teaching mode combining a cloud learning platform and a real-time evaluation system, Zuvio, and explores the acceptance of this by students, the preparation and acceptance of teachers, and the support of the school. Also examined is whether the above three have different levels of cognition and actual execution problems and difficulties. The results of the study will be applied to courses in the School of Business and Management, where it will signify a major breakthrough in curriculum innovation. This study is based on the perspectives of students and teachers. The purpose is to understand the challenges and opportunities in teaching practice resulting from the integration of the cloud learning platform and Zuvio. It is expected that the research results obtained will be promoted, referenced, and applied to the teaching field of higher education as a pioneering procedure.

31 July 2021
Verified
Book Chapter
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YCYu-Fen Chen
Yu-Fen Chen