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Italian nurses’ experiences of the COVID-19 pandemic through social media: A longitudinal mixed methods study of Internet posts
- Source :
- Digital Health, Vol 8 (2022)
- Publication Year :
- 2022
- Publisher :
- SAGE Publishing, 2022.
-
Abstract
- Objective To examine the experience of Italian nurses posted on social media and discover changes, if any, over the waves. Methods A mixed methods study reported according to the Good Reporting of a Mixed Methods Study criteria. All narratives (texts, letters and interviews) posted by Italian nurses from February 2020 to May 2020 (first wave) and from October 2020 to May 2021 (second/third wave) on the five most famous Italian professional social media platforms. The data were analysed qualitatively (first wave) and then quantitatively (second/third wave). Results A total of 380 narratives (202,626 words, 2510 quotes) were posted in the first wave, and 161 (68,388 words, 835 quotes) in the second/third wave. In the first wave, the following five themes emerged: (a) ‘sharing what is happening within myself’ (891; 35.5%); (b) ‘experiencing unprecedented working conditions’ (749; 29.8%); (c) ‘failing to rehabilitate the image of nurses in society’ (376; 15%); (d) ‘experiencing a deep change’ (253; 10.1%) and (e) ‘do not abandon us’ (241; 9.6%). The same themes and subthemes also emerged in the second/third wave with some significant differences, indicating changes in the lived experience of nurses. Moreover, in the second/third wave, a new theme emerged: ‘experiencing the mixed emotions towards jabs’. Conclusions By analysing their posts, Italian nurses continue to face challenges during the COVID-19 pandemic, with changes in their lived experiences across the waves. Governments, nursing associations and health care organizations should consider these changes to design policies to prevent the further loss of nurses.
- Subjects :
- Computer applications to medicine. Medical informatics
R858-859.7
Subjects
Details
- Language :
- English
- ISSN :
- 20552076
- Volume :
- 8
- Database :
- Directory of Open Access Journals
- Journal :
- Digital Health
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.5321250769b45018403d47c02a2c291
- Document Type :
- article
- Full Text :
- https://doi.org/10.1177/20552076221129082