Evidence map›Paper›PMID 36421748›Full record

ArticleBehavioral sciences (Basel, Switzerland)2022

Examining Nurses' Vengeful Behaviors: The Effects of Toxic Leadership and Psychological Well-Being.

Oktay Koç, Hayrettin Şahin, Gökten Öngel, Ayşe Günsel, Julie Aitken Schermer

Abstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. 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.

Oktay KoçPolitical Science and Public Administration, Sinop University, Sinop 57000, Turkey.ORCID 0000-0002-0612-6929
Hayrettin ŞahinPolitical Science and Public Administration, Sinop University, Sinop 57000, Turkey.
Gökten ÖngelMinistry of Health, Istanbul 34440, Turkey.
Ayşe GünselManagement and Organization, Kocaeli University, Kocaeli 41040, Turkey.
Julie Aitken SchermerManagement and Organizational Studies, Faculty of Social Science, The University of Western Ontario, London, ON N6A 5C2, Canada.ORCID 0000-0002-3469-7710

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Toxic leadership is becoming increasingly common in healthcare organizations and there is strong need for studies focusing on organizational factors that can trigger revenge. Additionally, how psychological well-being functions in shielding against toxicity has not been adequately studied. Hence, this study aims to examine the relationship between toxic leadership and vengeful behaviors of nurses, along with the contingency of psychological well-being on the relationship during the COVID-19 pandemic. In this exploratory cross-sectional study, we attempt to examine the antecedent effect of toxic leadership on vengeful behaviors based on self-reports from 311 nurses. Using partial least squares and moderation analyses, the results show that toxic leadership is an important antecedent of vengeful behaviors among nurses. However, the results provide no statistical evidence to support a moderating role of psychological well-being in the relationship between toxic leadership and vengeful behaviors. This study reveals that nurses exposed to toxic behaviors by their superiors are more likely to engage in vengeance and highlights the fact that nurses are suffering psychologically during the pandemic.

Indexed as

administrative nursing researchleadershipmental healthpersonal satisfaction

Identifiers

PMID36421748
PMCPMC9687334

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.