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Hearing the Voices of Wingless Angels: A Critical Content Analysis of Nurses’ COVID-19 Experiences
The world has been affected by an outbreak of the novel coronavirus (COVID-19). Health care workers are among those most at risk of contracting the virus. In the fight against the coronavirus, nurses play a critical role. Still, most social media platforms demonstrate that nurses fear that their hea...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7696738/ https://www.ncbi.nlm.nih.gov/pubmed/33207740 http://dx.doi.org/10.3390/ijerph17228484 |
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author | Arasli, Huseyin Furunes, Trude Jafari, Kaveh Saydam, Mehmet Bahri Degirmencioglu, Zehra |
author_facet | Arasli, Huseyin Furunes, Trude Jafari, Kaveh Saydam, Mehmet Bahri Degirmencioglu, Zehra |
author_sort | Arasli, Huseyin |
collection | PubMed |
description | The world has been affected by an outbreak of the novel coronavirus (COVID-19). Health care workers are among those most at risk of contracting the virus. In the fight against the coronavirus, nurses play a critical role. Still, most social media platforms demonstrate that nurses fear that their health is not being prioritized. The purpose of this study is to investigate nurses’ experiences through analyzing the main themes shared on Instagram by nurses during the COVID-19 pandemic. In contrast with highly structured research, the current paper highlights nurses’ natural language use in describing their experiences during the first months of the outbreak in their workplace. Instagram captions were utilized as a data source. Leximancer was utilized for the content analysis of nurses’ narratives towards their coronavirus experience. We sought to accomplish three research objectives: the first was to identify the main themes in the descriptions of nurses’ experiences shared via their social media, specifically Instagram; then, to determine the relationships among concepts, and finally, to give useful implications based on the findings. The current study uses a qualitative (i.e., narratives) approach to analyze the main components of the nurses’ experiences during the pandemic. The Leximancer software analysis revealed nine major textual themes and the relationships among these themes. In order of the relative importance, the themes were “patients”, “coronavirus”, “exhaustion”, “family”, “hospital”, “personal protective equipment” (PPE), “shift”, “fear”, and “uncertainty”. The results offer practical implications based on the social media information regarding nurses’ overall experiences. |
format | Online Article Text |
id | pubmed-7696738 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-76967382020-11-29 Hearing the Voices of Wingless Angels: A Critical Content Analysis of Nurses’ COVID-19 Experiences Arasli, Huseyin Furunes, Trude Jafari, Kaveh Saydam, Mehmet Bahri Degirmencioglu, Zehra Int J Environ Res Public Health Article The world has been affected by an outbreak of the novel coronavirus (COVID-19). Health care workers are among those most at risk of contracting the virus. In the fight against the coronavirus, nurses play a critical role. Still, most social media platforms demonstrate that nurses fear that their health is not being prioritized. The purpose of this study is to investigate nurses’ experiences through analyzing the main themes shared on Instagram by nurses during the COVID-19 pandemic. In contrast with highly structured research, the current paper highlights nurses’ natural language use in describing their experiences during the first months of the outbreak in their workplace. Instagram captions were utilized as a data source. Leximancer was utilized for the content analysis of nurses’ narratives towards their coronavirus experience. We sought to accomplish three research objectives: the first was to identify the main themes in the descriptions of nurses’ experiences shared via their social media, specifically Instagram; then, to determine the relationships among concepts, and finally, to give useful implications based on the findings. The current study uses a qualitative (i.e., narratives) approach to analyze the main components of the nurses’ experiences during the pandemic. The Leximancer software analysis revealed nine major textual themes and the relationships among these themes. In order of the relative importance, the themes were “patients”, “coronavirus”, “exhaustion”, “family”, “hospital”, “personal protective equipment” (PPE), “shift”, “fear”, and “uncertainty”. The results offer practical implications based on the social media information regarding nurses’ overall experiences. MDPI 2020-11-16 2020-11 /pmc/articles/PMC7696738/ /pubmed/33207740 http://dx.doi.org/10.3390/ijerph17228484 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Arasli, Huseyin Furunes, Trude Jafari, Kaveh Saydam, Mehmet Bahri Degirmencioglu, Zehra Hearing the Voices of Wingless Angels: A Critical Content Analysis of Nurses’ COVID-19 Experiences |
title | Hearing the Voices of Wingless Angels: A Critical Content Analysis of Nurses’ COVID-19 Experiences |
title_full | Hearing the Voices of Wingless Angels: A Critical Content Analysis of Nurses’ COVID-19 Experiences |
title_fullStr | Hearing the Voices of Wingless Angels: A Critical Content Analysis of Nurses’ COVID-19 Experiences |
title_full_unstemmed | Hearing the Voices of Wingless Angels: A Critical Content Analysis of Nurses’ COVID-19 Experiences |
title_short | Hearing the Voices of Wingless Angels: A Critical Content Analysis of Nurses’ COVID-19 Experiences |
title_sort | hearing the voices of wingless angels: a critical content analysis of nurses’ covid-19 experiences |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7696738/ https://www.ncbi.nlm.nih.gov/pubmed/33207740 http://dx.doi.org/10.3390/ijerph17228484 |
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