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Folly Beach Library
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Chinese nurses' self‐expression media image during COVID‐19 pandemic: A qualitative media image analysis.
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- Author(s): Cao, Huili; Chen, Yangjie; He, Xingyue; Song, Yejun; Wang, Qiaohong; Yang, Hui
- Source:
Nursing Open; Mar2022, Vol. 9 Issue 2, p1164-1172, 9p- Subject Terms:
- Source:
- Additional Information
- Subject Terms:
- Abstract: Aim: To explore and describe nurses' self‐expression media image during COVID‐19 pandemic in China. Background: Nurses play an important role in COVID‐19 pandemic. Although nurses were widely reported by the media, which included praise for nurses and nursing work, the researches on how nurses expressed their self‐images were limited. Design: Qualitative media analysis. Methods: Qualitative media analysis was conducted from January to April 2020, the researchers collected images and texts of 16 Chinese nurses who take care of COVID‐19 patients. These images and texts were published on WeChat Moments by themselves. After analysed each image and text, researchers identified the denotative and connotative elements in each image and summarized each image in narrative way. Findings: This study analysed 219 pictures and 15 short videos of 16 nurses' self‐expression in WeChat moments. In this study, the media image self‐expression of nurses were mostly positive. The images expressed by nurses in this study included care image; hero image; soldier image; female image; hope image and team image. Nurses rarely showed negative images in the media; The negative nurses image were expressed in hidden way, which included exhausted nurses image and fragile nurses image. Moreover, the nurse self‐expression media image emphasized the nursing professionalism, but less showed the nursing connotation. Conclusions: The positive media image self‐expression of nurses should be encouraged. Nurse Managers should pay attention to the deficiency of nursing image expression and guide nurses to show the essence and connotation of nursing. [ABSTRACT FROM AUTHOR]
- Abstract: Copyright of Nursing Open is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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