Evidence map›Paper›PMID 33207740›Full record

ArticleInternational journal of environmental research and public health2020

Hearing the Voices of Wingless Angels: A Critical Content Analysis of Nurses' COVID-19 Experiences.

Huseyin Arasli, Trude Furunes, Kaveh Jafari, Mehmet Bahri Saydam, Zehra Degirmencioglu

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Providing End-of-Life Care to COVID-19 Patients: The Lived Experiences of ICU Nurses in the Philippines.International journal of environmental research and public health · 2022
    Article
  8. Article
  9. Article
  10. Article
  11. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Huseyin ArasliNorwegian School of Hotel Management, University of Stavanger, 4036 Stavanger, Norway.ORCID 0000-0002-8250-7299
Trude FurunesNorwegian School of Hotel Management, University of Stavanger, 4036 Stavanger, Norway.ORCID 0000-0003-4864-7076
Kaveh JafariFaculty of Tourism, Eastern Mediterranean University, TRNC, Via Mersin 10, Gazimagusa 99628, Turkey.ORCID 0000-0001-8128-2190
Mehmet Bahri SaydamFaculty of Tourism, Eastern Mediterranean University, TRNC, Via Mersin 10, Gazimagusa 99628, Turkey.ORCID 0000-0002-7920-4959
Zehra DegirmenciogluEnglish Preparatory School, Cyprus West University, TRNC, Via Mersin 10, Gazimagusa 99450, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Coronavirus InfectionsPandemicsPneumonia, ViralBetacoronavirusCOVID-19HumansNarrationNursesSARS-CoV-2Social Mediacontent analysisCOVID-19Instagramnursesnurses’ perceptionsocial media

Identifiers

PMID33207740
PMCPMC7696738

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.