Evidence map›Paper›PMID 37515054›Full record

ArticleVaccines2023

Better to Be Unpaid than COVID-19 Vaccinated! A Qualitative Study on Italian Nurses Suspended from Work without Salary.

Serena Picelli, Matteo Danielis, Renzo Zanotti

Open access · goldAbstract read
In one paragraph

Article in Vaccines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.4field-weighted citation impact, top 20% of its field
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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

3 authors at 1 institution in 1 country.

Serena PicelliLaboratory of Studies and Evidence Based Nursing, Department of Medicine, University of Padua, 35131 Padova, Italy.
Matteo DanielisLaboratory of Studies and Evidence Based Nursing, Department of Medicine, University of Padua, 35131 Padova, Italy.ORCID 0000-0002-7417-3452
Renzo ZanottiLaboratory of Studies and Evidence Based Nursing, Department of Medicine, University of Padua, 35131 Padova, Italy.ORCID 0000-0001-7386-211X
University of Padua · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In Italy, from April 2021, healthcare workers were required to receive the COVID-19 vaccine; if they refused it, an immediate unpaid suspension was implemented until they received the vaccine. Although there are numerous quantitative studies on the factors that influenced vaccine hesitancy during the COVID-19 pandemic, qualitative research on the causes of vaccine refusal is still missing. This research aimed to investigate the phenomenon of nurses who refused to receive COVID-19 vaccination despite being required to do so, as well as the reasons behind their refusal. Furthermore, the actions of those who abandoned this stance were explored. This was a qualitative study involving the methodological approach of grounded theory. Twenty-four nurses were interviewed virtually via Zoom from May to July 2022. Anti-vax behavior-as emerged from nurses' experiences-was based on seven themes: (1) job satisfaction, (2) the main sources of information on COVID-19, (3) the reasons for refusing the COVID-19 vaccine, (4) the attitudes of family members toward the COVID-19 vaccine, (5) previous experience with other vaccines, (6) firm opposition to the vaccine (unvaccinated nurses), (7) reluctant acceptance (vaccinated nurses). It was shown that it is imperative for health authorities to adopt timely, documented, transparent, and consistent communication when carrying out public health campaigns, especially for vaccination.

Indexed as

COVID-19Italymandatory vaccinationsnursesvaccine hesitancy

Identifiers

PMID37515054
PMCPMC10386292
OpenAlexW4384397942

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.