Evidence map›Paper›PMID 39966860›Full record

ArticleBMC nursing2025

Psychometric properties and measurement invariance of the medical staff occupational stress scale among Chinese clinical nurses.

Xiao-Kun Liu, Dan-Ling Huang, Wei Cheng, Bai-Chao Xu, Xin-Yi Luo, Si-Ru Liu, Tie-Chao Yuan, Li-Yan Yu, Tian-Xiu Wang, Yuan Sun and 1 more

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Article in BMC nursing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Xiao-Kun Liu *The First Affiliated Hospital of Hainan Medical University, Haikou , China. lacyfairy@qq.com.
Dan-Ling Huang *The First Affiliated Hospital of Hainan Medical University, Haikou , China.
Wei ChengThe First Affiliated Hospital of Hainan Medical University, Haikou , China.
Bai-Chao XuDepartment of Physical Education, Hainan Medical University, Haikou, China.
Xin-Yi LuoThe First Affiliated Hospital of Hainan Medical University, Haikou , China.
Si-Ru LiuHanan Medical University, Haikou, China.
Tie-Chao YuanThe First Affiliated Hospital of Hainan Medical University, Haikou , China.
Li-Yan YuHanan Medical University, Haikou, China.
Tian-Xiu WangHanan Medical University, Haikou, China.
Yuan SunThe First Affiliated Hospital of Hainan Medical University, Haikou , China.
Hua ZhangInternational Nursing School of Hainan Medical University, Haikou , China. zhanghuashelley@hotmail.com.

Funding

Hainan Medical Humanities Project QRYZH201805(YB)Hainan teaching program Hnjg2020-62Innovation incubators program of the first affiliated hospital of Hainan Medical University HYFYPY201902Teaching program of Hainan Medical Univrestiy HYZ201913
6 · The paper itself

Abstract

backgroundThe Medical Staff Occupational Stress Scale (MSOSS) is a timely tool for the measurement of occupational stress among medical staff. It included a childhood stress dimension and seven other work-related stress dimensions. This study aimed to evaluate the psychometric properties and measurement invariance of the MSOSS using a large cohort of clinical nurses from Southeast China.

methodA province-level survey was conducted from January 1st 2022 to May 31st 2022. Full-time clinical nurses from multiple hospitals in Hainan province were recruited. A total of 2989 nurses (1639 from secondary hospitals and 1350 from tertiary hospitals) completed the survey. The reliability of the MSOSS was assessed by its internal consistency. The validity of the MSOSS was assessed by its structural validity, convergent validity and concurrent validity. A series of multi-group confirmatory factor analyses were conducted to test and establish measurement invariance across variables such as age, work duration, hospital level, and job title.

resultsThe MSOSS exhibited excellent internal consistency in the different cohorts (Cronbach's α = 0.954-0.965, omega coefficient = 0.956-0.967 and Spearman-Brown coefficient = 0.883-0.905). The MSOSS exhibited stable structural validity and the confirmative factor analysis showed that the comparative fit index (CFI), incremental fit index (IFI) and Tucker-Lewis Index (TLI) were all around 0.9 in the different cohorts, indicating a good model fit. The measurement invariance of the MSOSS across hospital level, age, work duration and job title was supported by its metric invariance, scalar invariance and residual invariance. Cut-offs for the MSOSS as a depression and anxiety screening tool were also calculated. Scores above 102 and 207 were found to be indicative of depression and anxiety, respectively.

conclusionsThe MSOSS proved to be a suitable tool for assessing occupational stress among clinical nurses.

Indexed as

AnxietyClinical nursesDepressionMeasurement invarianceMedical staff occupational stress scaleOccupational stress

Identifiers

PMID39966860
PMCPMC11834229

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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 Socratic graph.