Evidence map›Paper›PMID 37937600›Full record

ArticleRevista latino-americana de enfermagem2023

"We are human beings, we also get sick": presenteeism in nursing workers in a pandemic context.

Tanyse Galon, Vera Lucia Navarro

Open access · diamondAbstract read
In one paragraph

Article in Revista latino-americana de enfermagem, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 71% 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

1 citing paper in PubMed, 0 citations in OpenAlex.

  1. 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

2 authors at 2 institutions in 1 country.

Tanyse GalonUniversidade Federal do Triângulo Mineiro, Instituto de Ciências da Saúde, Departamento de Enfermagem na Assistência Hospitalar, Uberaba, MG, Brasil.ORCID http://orcid.org/0000-0001-6407-5739
Vera Lucia NavarroUniversidade de São Paulo, Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Departamento de Psicologia, Ribeirão Preto, SP, Brasil.ORCID http://orcid.org/0000-0003-4669-0011
Universidade de São Paulo · BRUniversidade Federal do Triângulo Mineiro · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveto understand the experiences of presenteeism in nursing professionals from hospital services during the COVID-19 pandemic.

methodqualitative study, anchored in historicaldialectical materialism. Thirty nursing workers participated in the research, divided into six online focus groups, analyzed based on Hermeneutics-Dialectics.

resultsthree categories of analysis emerged: "Worsening presenteeism in the pandemic context"; "Why did I go to work sick: the worker's decision or precarious work?"; "Old problems, permanent struggle". Despite the illness of professionals by COVID-19, presenteeism in the pandemic was marked by institutional pressure to return to work, mental suffering and lack of recognition and humanization. Among the factors that led to presenteeism, the lack of testing for COVID-19, concern for patients, co-workers and managers, as well as fear of losing their job and/or financial benefits, stood out. Faced with this scenario, workers called for a new reality in which rights such as decent wages and safe working conditions are guaranteed.

conclusionthe pandemic context revealed a worsening of presenteeism among nursing professionals. The results pointed to the importance of concretely valuing nursing in legal terms and beyond honors.

Indexed as

COVID-19PandemicsCOVID-19 TestingHumansPresenteeismWorkplace

Identifiers

PMID37937600
PMCPMC10631296
OpenAlexW4388320149

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.