Evidence map›Paper›PMID 36718479›Full record

ArticleJournal of applied social psychology2022

A social identity approach to COVID-19 transmission in hospital settings.

Niklas Hlubek, Anne Templeton, Kirsty Wiseman-Gregg

Abstract read
In one paragraph

Article in Journal of applied social psychology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Niklas HlubekDepartment of Psychology, Old College The University of Edinburgh Edinburgh UK.ORCID 0000-0001-5995-6160
Anne TempletonDepartment of Psychology, Old College The University of Edinburgh Edinburgh UK.ORCID 0000-0002-5422-6297
Kirsty Wiseman-GreggDepartment of Psychology, Old College The University of Edinburgh Edinburgh UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic poses a substantial risk of disease spread among healthcare workers (HCWs), making it important to understand what impacts perceived risk of COVID-19 spread in hospital settings and what causes HCWs to mitigate COVID-19 spread by following COVID-19 safety measures. One determinant of risk perception and safe behaviors is the influence of seeing others as group members. The current study aims to (a) evaluate how social identification as an HCW and trust in co-workers may influence perceived risk of COVID-19 spread and (b) explore how communication transparency, trust in leaders, and identity leadership are associated with self-reported adherence to COVID-19 safety guidance. Using a correlational design, HCWs of a Scottish hospital were invited to participate in an online questionnaire measuring their perceptions of risk of COVID-19 transmission, measures of social identification as an HCW, perception of leaders as members of the team, trust in co-workers to follow the COVID-19 guidelines and perception of leaders to manage COVID-19 prevention effectively. Results showed that increased trust in co-workers was associated with reduced risk perception of COVID-19 transmission. Perceptions of transparent communication about COVID-19 were found to be associated with increased adherence to COVID-19 safety guidelines. Findings show the importance of the association between social identity processes and reduced risk perception and highlight the relationship between transparent communication strategies and self-reported adherence to COVID-19 guidelines, identity leadership, and trust in leaders to manage COVID-19 appropriately.

Identifiers

PMID36718479
PMCPMC9878075

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.