Evidence map›Paper›PMID 34309922›Full record

ArticleJournal of advanced nursing2021

Frontline nurses' willingness to work during the COVID-19 pandemic: A mixed-methods study.

Qiaohong Ke, Sally Wai-Chi Chan, Yue Kong, Jianguo Fu, Wengang Li, Qu Shen, Jiemin Zhu

Open access · bronzeAbstract read
In one paragraph

Article in Journal of advanced nursing, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 2 pooled it
5.9field-weighted citation impact, top 3% 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

27 citing papers in PubMed, 2 syntheses or guidelines pooled it, 44 citations in OpenAlex.

  1. Pooled it
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  12. Experiences of Healthcare Workers in Long-Term Care during COVID-19: A Scoping Review.Journal of applied gerontology : the official journal of the Southern Gerontological Society · 2023
    Article
  13. Nurse and Patient Assessments of COVID-19 Care Quality in China: A Comparative Survey Study.International journal of environmental research and public health · 2023
    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

7 authors at 3 institutions in 1 country.

Qiaohong KeDepartment of Gynaecology, Women and Children's Hospital, School of Medicine, Xiamen University, Xiamen, Fujian Province, P. R. China.ORCID https://orcid.org/0000-0003-1906-9756
Sally Wai-Chi ChanPresident Office, Tung Wah College, Hong Kong, China.
Yue KongDepartment of Nursing, The 900th Hospital of Joint Logistic Support Force, PLA, Fuzhou, Fujian, P. R. China.
Jianguo FuDepartment of Infection Control, Zhongshan Hospital, Xiamen University, Xiamen, Fujian Province, P. R. China.
Wengang LiSchool of Medicine, Xiamen University, Xiamen, Fujian Province, P.R. China.
Qu ShenSchool of Medicine, Xiamen University, Xiamen, Fujian Province, P.R. China.ORCID https://orcid.org/0000-0003-0166-1735
Jiemin ZhuSchool of Medicine, Xiamen University, Xiamen, Fujian Province, P.R. China.ORCID https://orcid.org/0000-0001-9705-9575
Xiamen University · CNTung Wah College · CNZhongshan Hospital of Xiamen University · CN

Funding

National Natural Science Foundation of China 71974162Xiamen University COVID-19 Emergency Response Grant 20720200025
6 · The paper itself

Abstract

aimFrontline nurses' willingness to work has significant implications for maintaining workforce stability and quality of care during the COVID-19 pandemic; however, few studies have investigated their willingness and the corresponding reasons. This study aims to examine frontline nurses' willingness to work, identify its predictors and explore its corresponding reasons.

designA mixed-methods design was conducted.

methodsBased on a multilevel behavioural-diagnostic model, a questionnaire survey was used to collect quantitative and qualitative data concurrently from 13 February to 24 February 2020 to explore frontline nurses' willingness to work and the corresponding reasons in two hospitals in Wuhan, China. One was a designated hospital which only received COVID-19 patients, and the other was built up temporarily for COVID-19 patients.

resultsOf the 2014 participants, most (n = 1950, 96.8%) indicated their willingness to work, and a few (n = 64, 3.2%) expressed their unwillingness. Binary logistic regression analysis identified five predictors of participants' willingness to work, including monthly family income, average working hours per shift, belief in their colleagues' preparedness, belief in their hospitals' preparedness and levels of depression. These indicators explained 27% of the variance (p < .05). Frontline nurses' willingness to work mainly arose from professional commitment, patriotism and faith, while unwillingness to do so primarily stemmed from safety concerns and family responsibility.

conclusionMost frontline nurses were willing to work and showed great professional commitment. IMPACT: Professional commitment and patriotism were two important individual-level factors affecting frontline nurses' willingness to work during a pandemic. Strategies should be implemented, such as appreciating and acknowledging their contribution, rewarding their valuable work, arranging reasonable working hours, enhancing colleagues' and hospitals' preparedness, and providing emotional support. Moreover, adequate personal protective equipment, self-protection training and social support should be ensured to address frontline nurses' safety concerns and family responsibility.

Indexed as

COVID-19NursesNursing Staff, HospitalCross-Sectional StudiesHumansPandemicsSARS-CoV-2COVID-19frontline nursesmixed-methods studypandemicwillingness

Identifiers

PMID34309922
PMCPMC8447129
OpenAlexW3186012940

What OpenQuestion holds

Textmetadata
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.