COVID-19 Burnout Subject to the Dynamic Zero-COVID Policy in Hong Kong: Development and Psychometric Evaluation of the COVID-19 Burnout Frequency Scale

Sam S. S. Lau*, Cherry C. Y. Ho, Rebecca C. K. Pang, Susan Su, Heather Kwok, Sai-fu Fung, Roger C. Ho

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)

Abstract

We sought to develop and validate a self-assessment burnout scale of the Chinese general population during the COVID-19 pandemic in the context of a dynamic zero-COVID policy. Factors relevant to individuals’ burnout during the prolonged COVID-19 pandemic were identified in the literature and through the reviews of an expert panel. A convenience sample of 1087 was randomly divided into two subsamples and the scale’s psychometric properties were assessed. Findings suggested that the COVID-19 BFS has adequate reliability (α = 0.90) along with factorial, concurrent, and convergent validity. Results of confirmatory factor analysis (CFA) supported the one-factor structure of the scale. Concurrent validity results indicate a significant positive correlation between COVID-19 BFS and the Fear of COVID-19 Scale (r = 0.131, p < 0.001), suggesting that individuals with higher levels of burnout may also have higher levels of fear of COVID, or vice versa. The scale was also correlated positively with being against the dynamic zero-COVID strategy (r = 0.340, p < 0.001), indicating that a higher level of burnout may be associated with individuals who are against the dynamic zero-COVID strategy. The results suggest the five-item COVID-19 BFS is a valid and reliable scale for the measurement of burnout frequency of the Chinese general population in relation to the prolonged COVID-19 pandemic in a dynamic zero-COVID policy context.

Original languageEnglish
Article number8235
JournalSustainability
Volume14
Issue number14
DOIs
Publication statusPublished - 2 Jul 2022

Scopus Subject Areas

  • Computer Science (miscellaneous)
  • Environmental Science (miscellaneous)
  • Geography, Planning and Development
  • Energy Engineering and Power Technology
  • Hardware and Architecture
  • Management, Monitoring, Policy and Law
  • Building and Construction
  • Computer Networks and Communications
  • Renewable Energy, Sustainability and the Environment

User-Defined Keywords

  • CFA
  • Chinese general population
  • dynamic zero-COVID policy
  • fatigue
  • Hong Kong
  • pandemic burnout
  • prolonged COVID-19
  • public health

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