Evidence map›Paper›PMID 37921864›Full record

ArticleJMIR formative research2023

Factors Associated With Work Engagement of Nurses During the Fifth Wave of the COVID-19 Pandemic in Japan: Web-Based Cross-Sectional Study.

Kei Muroi, Mami Ishitsuka, Tomoko Hachisuka, Itsuka Shibata, Tomohiko Ikeda, Daisuke Hori, Shotaro Doki, Tsukasa Takahashi, Shin-Ichiro Sasahara, Ichiyo Matsuzaki

Open access · goldAbstract read
In one paragraph

Article in JMIR formative research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

5 citing papers in PubMed, 4 citations in OpenAlex.

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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

10 authors at 2 institutions in 1 country.

Kei Muroi *Graduate School of Comprehensive Human Sciences, University of Tsukuba, Tsukuba, Japan.ORCID https://orcid.org/0000-0002-6752-4648
Mami IshitsukaGraduate School of Comprehensive Human Sciences, University of Tsukuba, Tsukuba, Japan.ORCID https://orcid.org/0000-0002-0850-003X
Tomoko HachisukaNursing Department, Eastern Chiba Medical Center, Togane, Japan.ORCID https://orcid.org/0009-0009-1761-0001
Itsuka ShibataSchool of Nursing and Rehabilitation Sciences, Showa University, Yokohama, Japan.ORCID https://orcid.org/0009-0002-6492-714X
Tomohiko IkedaInstitute of Medicine, University of Tsukuba, Tsukuba, Japan.ORCID https://orcid.org/0000-0001-6197-1597
Daisuke HoriInstitute of Medicine, University of Tsukuba, Tsukuba, Japan.ORCID https://orcid.org/0000-0001-5832-9923
Shotaro DokiInstitute of Medicine, University of Tsukuba, Tsukuba, Japan.ORCID https://orcid.org/0000-0003-4026-9058
Tsukasa TakahashiInstitute of Medicine, University of Tsukuba, Tsukuba, Japan.ORCID https://orcid.org/0000-0003-1643-4041
Shin-Ichiro SasaharaInstitute of Medicine, University of Tsukuba, Tsukuba, Japan.ORCID https://orcid.org/0000-0002-3681-1804
Ichiyo MatsuzakiInstitute of Medicine, University of Tsukuba, Tsukuba, Japan.ORCID https://orcid.org/0009-0007-3582-878X
University of Tsukuba · JPShowa University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic has brought to light the prevalence of mental health issues among nurses. Work engagement (WE) is a concept that describes work-related positive psychological states and is of importance within mental health measures. There is, however, a lack of research on factors associated with the WE of nurses during the COVID-19 pandemic.

objectiveWe aimed to determine which factors are associated with WE among nurses during the COVID-19 pandemic using the job demands-resources (JD-R) model as a framework.

methodsA web-based cross-sectional survey was conducted among nurses working in acute care and psychiatric institutions in the prefectures of Chiba and Tokyo in Japan. The survey period occurred between August 8 and September 30, 2021, during a time when the number of patients with a positive COVID-19 infection increased. The 3-item version of the Utrecht Work Engagement Scale (UWES-3) was used to measure WE. Factors such as age, gender, years of experience, affiliated ward, COVID-19-related stress, financial rewards from the government and hospital, encouragement from the government and patients, and workplace social capital were assessed. A total of 187 participants were included in the final analysis. Multiple regression analysis was performed to examine the factors related to WE. Partial regression coefficients (B), 95% CI, and P values were calculated.

resultsThe mean overall score for the UWES-3 was 3.19 (SD 1.21). Factors negatively associated with UWES-3 were COVID-19-related stress on work motivation and escape behavior (Β -0.16, 95% CI -0.24 to -0.090; P<.001), and factors positively associated with UWES-3 were affiliation of intensive care units (Β 0.76, 95% CI 0.020-1.50; P=.045) and financial rewards from the government and hospital (Β 0.40, 95% CI 0.040-0.76; P=.03).

conclusionsThis study examined factors related to WE among nurses during the COVID-19 pandemic using the JD-R model. When compared with findings from previous studies, our results suggest that nurses' WE was lower than before the COVID-19 pandemic. Negative motivation and escape behaviors related to COVID-19 were negatively associated with WE, while there were positive associations with financial rewards from the government and hospital and affiliation with an intensive care unit. Further research into larger populations is needed to confirm these findings.

Indexed as

ageCOVID-19cross-sectional studyengagementexperiencegenderintensive careJapanJD-R modeljob demands-resourcesmental healthnursespsychiatricpsychologicalsurveywork engagement

Identifiers

PMID37921864
PMCPMC10656660
OpenAlexW4387464012

What OpenQuestion holds

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LicenceCC BY
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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.