Evidence map›Paper›PMID 36292382›Full record

ArticleHealthcare (Basel, Switzerland)2022

High-Performance Work Systems, Thriving at Work, and Job Burnout among Nurses in Chinese Public Hospitals: The Role of Resilience at Work.

Zhe Yun, Peng Zhou, Bo Zhang

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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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

3 authors.

Zhe YunSchool of Economics, Capital University of Economics and Business, Beijing 100070, China.
Peng ZhouCardiff Business School, Cardiff University, Cardiff CF10 3EU, UK.ORCID 0000-0002-4310-9474
Bo ZhangSchool of Economics and Management, Beijing University of Chemical Technology, Beijing 100029, China.ORCID 0000-0002-0481-2837

Funding

Fundamental Research Funds for the Central University buctrc202022National Natural Science Foundation of China 71702116
6 · The paper itself

Abstract

The overall purpose of this study is to explore and examine whether high-performance work systems (HPWS) can impact thriving at work and job burnout via resilience at work among nurses in Chinese public hospitals. Specifically, it draws on social exchange theory to conceptualize a positive relationship between HPWS and resilience at work. Then, based on a socially embedded model of thriving at work and knowledge about job burnout in the literature, it further proposes the differentiated mediation roles of resilience at work in the relationship of HPWS to thriving at work and job burnout. A time-lagged survey involving three rounds of data collection with self-reported online questionnaires was employed. A total of 160 nurses from 20 public hospitals in China were invited to participate in the research. Finally, a sample of 845 responses was obtained. The response rate was 52.8%. Multiple regression analyses were conducted to test the hypotheses. It was found that HPWS (time 1) positively impacted resilience at work (time 2). The results also demonstrated that HPWS (time1) enhanced thriving at work (time 3) and reduced job burnout (time 3) via developing resilience at work (time 2). To conclude, being resilient in the workplace is crucial for nurses to enhance thriving at work, and inhabit job burnout among nurses. HPWS is a valid management tool that can be used to cultivate a nurse's resilience at work, which further reduces job burnout and enhance thriving at work.

Indexed as

high-performance work systemsjob burnoutnursesresilience at workthriving at work

Identifiers

PMID36292382
PMCPMC9601832

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.