Evidence map›Paper›PMID 41424982›Full record

ArticleJournal of nursing management2025

The Prevalence and Associated Factors of Compassion Satisfaction and Compassion Fatigue Among Clinical Nurses in China.

Tian Xiong, Jing Wang, Mei Wang

Abstract read
In one paragraph

Article in Journal of nursing management, 2025. 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
–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

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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.

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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.

Tian XiongDepartment of Nursing, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China, hust.edu.cn.ORCID 0009-0004-0351-3976
Jing WangDepartment of Nursing, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China, hust.edu.cn.ORCID 0009-0005-4116-4356
Mei WangDepartment of Nursing, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China, hust.edu.cn.ORCID 0009-0004-9107-1353

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Compassion satisfaction and compassion fatigue are critical to nurses' well-being and patient care. In China, factors such as high workloads and healthcare reforms may elevate nurses' risk for compassion fatigue. Aims: To assess the prevalence and influencing factors of compassion satisfaction and compassion fatigue among Chinese clinical nurses. Methods: In this cross-sectional study, 581 registered nurses completed surveys on demographics, work-related factors, Pittsburgh Sleep Quality Index, Psychology Capital Questionnaire, Perceived Social Support Scale, and Professional Quality of Life Scale. Data were analyzed using descriptive statistics, nonparametric tests, and multiple linear regression. Results: The prevalence of low, average, and high levels was 5.7%, 79.2%, and 15.1% for compassion satisfaction; 31.0%, 67.6%, and 1.4% for burnout; and 34.8%, 63.5%, and 1.7% for secondary traumatic stress, respectively. Multiple linear regression analysis revealed that compassion satisfaction ( Conclusions: Chinese clinical nurses experience significant compassion fatigue. Sleep quality, psychological capital, and social support are key factors associated with their professional quality of life, highlighting targets for intervention by nursing management. Implications for Nursing Management: It is important for nursing managers to recognize the susceptibility of nurses to compassion fatigue and develop specific strategies to alleviate burnout and secondary traumatic stress while fostering compassion satisfaction.

Indexed as

Compassion FatigueEmpathyJob SatisfactionNursesAdultBurnout, ProfessionalChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedPrevalencePsychometricsQuality of LifeSocial Supportburnoutcompassion fatiguecompassion satisfactionsecondary traumatic stress

Identifiers

PMID41424982
PMCPMC12714083

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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.