Evidence map›Paper›PMID 36689426›Full record

Observational studyPloS one2023

Social support and professional networks of nurses and nursing technicians in coping with Covid-19: A sectional study in two Brazilian cities.

Helena Maria Scherloski Leal David, Maria Rocineide Ferreira da Silva, Magda Guimarães de Araújo Faria, Tarciso Feijó da Silva, Tatiana Cabral da Silva Ramos, Marcus Vinicius Pereira-Silva

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 99% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 5 institutions in 1 country.

Helena Maria Scherloski Leal DavidPublic Health Nursing Department, State University of Rio de Janeiro, Rio de Janeiro, Rio de Janeiro, Brazil.ORCID 0000-0001-8002-6830
Maria Rocineide Ferreira da SilvaHealth Sciences Center, State University of Ceará, Fortaleza, Ceará, Brazil.
Magda Guimarães de Araújo FariaPublic Health Nursing Department, State University of Rio de Janeiro, Rio de Janeiro, Rio de Janeiro, Brazil.
Tarciso Feijó da SilvaHealth Sciences Center, Federal University of Pará, Belém, Pará, Brazil.
Tatiana Cabral da Silva RamosNursing Department, Estacio de Sá University, Duque de Caxias, Rio de Janeiro, Brazil.
Marcus Vinicius Pereira-SilvaCasa de Oswaldo Cruz, Oswaldo Cruz Foundation, Rio de Janeiro, Rio de Janeiro, Brazil.ORCID 0000-0002-4135-4011
Universidade do Estado do Rio de Janeiro · BREstácio (Brazil) · BRFundação Oswaldo Cruz · BRUniversidade Estadual do Ceará · BRUniversidade Federal do Pará · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Among healthcare workers, nurses are at exceptionally considerable risk for contracting COVID-19. Regardless of professionals' level of education, Brazilian nursing is one of the healthcare occupations shouldering the highest levels of responsibility and workload. Social support networks to health and nursing can be a strategy to reduce workload and stress and may contribute to implementing the activities and protecting workers' health. This study aimed to map and analyze social support networks at workplaces as informed by frontline nursing professionals working in healthcare units in the Brazilian cities of Rio de Janeiro and Fortaleza, capitals of the States of Rio de Janeiro and Ceará, respectively. This observational and cross-sectional study used an online data collection instrument based on social network analysis methodology. We recruited 163 participants in two reference services for health professionals suspected or with COVID-19 symptoms. The research question was: "Which category or categories of health professionals have supported you or other colleagues the most in the event of diagnosis or suspicion of COVID-19 among nursing categories? Data were organized by nursing category and city and analyzed through social network analysis using Ucinet©, generating graphs and centrality metrics. Results point to the central relevance of nursing categories in the workplace social support in the pandemic, followed by other health professional categories.

Indexed as

COVID-19NursesAdaptation, PsychologicalBrazilCitiesCross-Sectional StudiesHumansOccupationsSocial Support

Identifiers

PMID36689426
PMCPMC9870100
OpenAlexW4317759452

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.