Evidence map›Paper›PMID 40159688›Full record

ArticleJournal of advanced nursing2026

Perceived Care Quality of Frontline Clinical Nurses in China and Its Predictors: A Mixed-Methods Study.

Yucheng Cao, Yu Gao, Jing Shao, Leiyu Shi, Wenxuan Sun, Tingting Yan, Yanhong Dong

Abstract read
In one paragraph

Article in Journal of advanced nursing, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Yucheng CaoJohns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.ORCID https://orcid.org/0009-0000-5055-4077
Yu GaoSchool of Informatics, Computing, and Cyber Systems, Northern Arizona University, Flagstaff, Arizona, USA.
Jing ShaoSchool of Nursing and Institute of Nursing Research, School of Medicine, Zhejiang University, Zhejiang, Hangzhou, China.ORCID https://orcid.org/0000-0002-6744-5771
Leiyu ShiJohns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.ORCID https://orcid.org/0000-0001-9227-0849
Wenxuan SunSchool of Nursing and Institute of Nursing Research, School of Medicine, Zhejiang University, Zhejiang, Hangzhou, China.
Tingting YanLiaocheng Vocational and Technical College, Liaocheng, Shandong, China.
Yanhong DongAlice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.ORCID https://orcid.org/0000-0002-3215-0164

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo identify predictors of nurses' perceived care quality, explore their understanding of high-quality care and propose improvement strategies to inform clinical practice.

designA mixed-methods design, integrating quantitative data analysis and qualitative in-depth individual interviews.

methodsQuantitative analysis used cross-sectional data from the 2017 Chinese Nursing Work Environment Survey (C-NWES). Chi-square tests and logistic regression were used to examine how demographic characteristics, work environment and occupational burnout predicted perceptions of care quality at hospital and unit levels. Qualitatively, 42 frontline nurses were interviewed in 2024 to explore their perceptions of care quality, predicting factors and improvement strategies in a post-pandemic context. Thematic analysis was applied to code and synthesise the interview data.

resultsQuantitative analysis revealed that gender, education, workload, experience, work environment and burnout had differing impacts on nurses' care quality perceptions at hospital and unit levels. In-depth individual interviews revealed that nurses perceive high-quality care as patient-centred, predicted by factors such as human resources, occupational burnout, patient and family cooperation at the unit level and environmental and policies factors at the hospital level. Unit-level strategies included improving communication, team collaboration and leadership support, while hospital-level recommendations focused on welfare benefits, continuing education, flexible scheduling and resource optimisation. Through the mutual validation of quantitative analysis and in-depth interviews, this study revealed the multidimensional understanding and key predictors of care quality among frontline clinical nurses in China.

conclusionWork environment, occupational burnout and demographic factors significantly impact nurses' perceived care quality, highlighting the need for targeted organisational improvements at both unit and hospital levels to enhance care quality. IMPACT: The findings highlight the importance of organisational interventions. Nursing managers should promote a positive work environment and mitigate burnout. Future research should develop testing models to explore the relationship between work environment and perceived care quality and validate their effectiveness. PATIENT OR PUBLIC CONTRIBUTION: No patient or public contribution.

Indexed as

Attitude of Health PersonnelNursing Staff, HospitalQuality of Health CareAdultBurnout, ProfessionalChinaCOVID-19Cross-Sectional StudiesFemaleHumansMaleMiddle AgedWorkplacefrontline nursesnursing work environmentoccupational burnoutperceived care quality

Identifiers

PMID40159688
PMCPMC12721956

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LicenceCC BY-NC-ND
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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.