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Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Mar 20, 2022
Date Accepted: Nov 1, 2022

The final, peer-reviewed published version of this preprint can be found here:

Psychometric Properties of the Chinese Warwick-Edinburgh Mental Well-being Scale in Medical Staff: Cross-sectional Study

Dong A, Huang J, Lin S, Zhu J, Zhou H, Jin Q, Zhao W, Zhu L, Guo W

Psychometric Properties of the Chinese Warwick-Edinburgh Mental Well-being Scale in Medical Staff: Cross-sectional Study

J Med Internet Res 2022;24(11):e38108

DOI: 10.2196/38108

PMID: 36449336

PMCID: 9752453

Psychometric Properties of the Chinese Warwick-Edinburgh Mental Well-being Scale in Medical Staff: Cross-Sectional study

  • Aishu Dong; 
  • Jing Huang; 
  • Shudan Lin; 
  • Jianing Zhu; 
  • Haitao Zhou; 
  • Qianqian Jin; 
  • Wei Zhao; 
  • Lianlian Zhu; 
  • Wenjian Guo

ABSTRACT

Background:

Background:

Worldwide, mental well-being is a critical issue for public health, especially among medical staff, affecting professionalism, efficiency, quality of care delivery, and overall quality of life. Nevertheless, assessing mental well-being is a complex problem.

Objective:

Objective:

This study aimed to evaluate psychometric properties of the 14-item Chinese Warwick-Edinburgh Mental Well-being Scale (WEMWBS) in the medical staff of 6 hospitals in China to provide a reliable measurement of positive mental well-being.

Methods:

Methods:

A cross-sectional online survey was conducted among medical staff from 6 hospitals in China from May 15th to July 15th, 2020. Confirmatory factor analysis (CFA) was conducted to test the structure of the Chinese WEMWBS. The Spearman correlations of the Chinese WEMWBS with The 5-item World Health Organization WellBeing Index (WHO-5) were used to evaluate the convergent validity. Cronbach’s alpha (α) and split-half reliability (λ) represent internal consistency. A graded response model was adopted to analyze item response theory (IRT). We reported discrimination, difficulty, item characteristic curves(ICCs), item information curves(IICs). ICCs and IICs were administered to estimate the reliability and validity based on the IRT analysis.

Results:

Results:

A total of 572 participants from 15 provinces in China finished the Chinese WEMWBS. CFA showed that the one-dimension model was satisfactory, and the internal consistency reliability was excellent, with α = 0.965 and λ = 0.947, while the item-scale correlation coefficients ranged from 0.727 and 0.900. The correlation coefficient between the Chinese WEMWBS with WHO-5 was significant at 0.746. The average variance extraction value was 0.656, and the composite reliability value was 0.964, with good aggregation validity. The discrimination of the Chinese WEMWBS items ranged from 2.026 to 5.098. ICCs illustrated that the orders of categories’ thresholds for 14 items were satisfactory.

Conclusions:

Conclusion: The Chinese WEMWBS showed good psychometric properties and can measure well-being in the medical staff.


 Citation

Please cite as:

Dong A, Huang J, Lin S, Zhu J, Zhou H, Jin Q, Zhao W, Zhu L, Guo W

Psychometric Properties of the Chinese Warwick-Edinburgh Mental Well-being Scale in Medical Staff: Cross-sectional Study

J Med Internet Res 2022;24(11):e38108

DOI: 10.2196/38108

PMID: 36449336

PMCID: 9752453

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