Evidence map›Paper›PMID 37297677›Full record

ArticleHealthcare (Basel, Switzerland)2023

Virtual Leadership and Nurses' Psychological Stress during COVID-19 in the Tertiary Hospitals of Pakistan: The Role of Emotional Intelligence.

Fahad Alam, Qing Yang, Aušra Rūtelionė, Muhammad Yaseen Bhutto

Open access · goldAbstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 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
2.7field-weighted citation impact, top 11% 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, 8 citations in OpenAlex.

  1. Article
  2. Article
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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

4 authors at 3 institutions in 2 countries.

Fahad AlamSchool of Economics and Management, University of Science and Technology Beijing, Beijing 100083, China.
Qing YangSchool of Economics and Management, University of Science and Technology Beijing, Beijing 100083, China.
Aušra RūtelionėFaculty of Bioeconomy Development, Vytautas Magnus University, LT-44248 Kaunas, Lithuania.ORCID 0000-0002-1013-0170
Muhammad Yaseen BhuttoBusiness School, Shandong Jianzhu University, Jinan 250101, China.
University of Science and Technology Beijing · CNShandong Jianzhu University · CNVytautas Magnus University · LT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although intelligence has been widely examined in the literature, the correlation of emotional intelligence (EI) has with virtual leadership, work stress, work burnout, and job performance in the nursing profession needs further consideration. Prior studies have confirmed that leadership style and emotional intelligence massively contribute to better outcomes in the nursing profession. Based on these confirmations, this research intended to explore the impact of virtual leadership and EI on work stress, work burnout, and job performance among nurses during the COVID-19 pandemic. A convenient sampling technique was adopted to select the data sample. To analyze our hypotheses, 274 self-reported surveys were distributed in five tertiary hospitals in Pakistan through a cross-sectional quantitative research design. The hypotheses were tested with SmartPLS-3.3.9. Our findings revealed that virtual leadership and EI have considerably influenced nurses' work stress, burnout level, and job performance. The study concludes that EI significantly moderates virtual leadership and psychological stress among nurses.

Indexed as

emotional intelligencejob performancevirtual leadershipwork burnoutwork stress

Identifiers

PMID37297677
PMCPMC10252801
OpenAlexW4378176426

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.