Evidence map›Paper›PMID 34073655›Full record

ArticleJournal of personalized medicine2021

Comparing the Impact of COVID-19 on Nurses' Turnover Intentions before and during the Pandemic in Qatar.

Abdulqadir J Nashwan, Ahmad A Abujaber, Ralph C Villar, Ananth Nazarene, Mahmood M Al-Jabry, Evangelos C Fradelos

Abstract read
In one paragraph

Article in Journal of personalized medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 3 pooled it
–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

58 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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

6 authors.

Abdulqadir J NashwanDepartment of Nursing, Hazm Mebaireek General Hospital (HMGH), Hamad Medical Corporation (HMC), Doha 3050, Qatar.ORCID 0000-0003-4845-4119
Ahmad A AbujaberDepartment of Nursing, Hazm Mebaireek General Hospital (HMGH), Hamad Medical Corporation (HMC), Doha 3050, Qatar.ORCID 0000-0002-8704-4991
Ralph C VillarDepartment of Nursing, Hazm Mebaireek General Hospital (HMGH), Hamad Medical Corporation (HMC), Doha 3050, Qatar.ORCID 0000-0002-8761-6777
Ananth NazareneDepartment of Nursing, Mental Health Services (MHS), Hamad Medical Corporation (HMC), Doha 3050, Qatar.
Mahmood M Al-JabryDepartment of Nursing, Hazm Mebaireek General Hospital (HMGH), Hamad Medical Corporation (HMC), Doha 3050, Qatar.
Evangelos C FradelosNursing Department, University of Thessaly, 41500 Larissa, Greece.ORCID 0000-0003-0244-9760

Funding

Hamad Medical Corporation MRC-01-20-609
6 · The paper itself

Abstract

backgroundAlthough several studies examining nurses' turnover intentions have been conducted, few studies have been conducted to explore how COVID-19 contributes to nurses' turnover intentions. This study aims to compare nurses' turnover (TO) intentions before and during COVID-19.

methodsThe cross-sectional study was conducted using the Turnover Intention Scale (TIS-6) and a convenience sample of participants from the largest healthcare provider in Qatar between August and September 2020.

resultsA total of 512 nurses were included in the final analysis. The majority were between 31 and 40 years of age (61.5%), 67.6% were females, 76.4% were married, 79.7% had a BSN, 43% had less than 5 years of experience, and 60.4% had worked in COVID-19 designated facilities. The turnover intentions were higher compared with before COVID-19 (

conclusionNurses in Qatar have higher TO intentions during COVID-19. The participants' characteristics and stress levels are playing a major role in nurses' decision to leave during COVID-19. Understanding the factors that contribute to turnover intentions is crucial for workforce planning, especially during pandemics.

Indexed as

COVID-19intent to leavenursesQatarTIS-6turnover intentions

Identifiers

PMID34073655
PMCPMC8225037

What OpenQuestion holds

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LicenceCC BY
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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.