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. 2021 Mar 17:14:1165-1173.
doi: 10.2147/RMHP.S288003. eCollection 2021.

Predictors of Health-Care Workers' Unwillingness to Continue Working During the Peak of COVID-19 in Western Ethiopia: An Extended Parallel-Process Model Study

Affiliations

Predictors of Health-Care Workers' Unwillingness to Continue Working During the Peak of COVID-19 in Western Ethiopia: An Extended Parallel-Process Model Study

Ashenafi Habte Woyessa et al. Risk Manag Healthc Policy. .

Abstract

Purpose: Willingness to work in disasters is context-specific and corresponds to the nature, magnitude, and threats posed by a particular public health emergency. None us is certain that our health professionals will continue to provide service should the COVID-19 pandemic crisis climb to its worst level. It was with this uncertainty in mind that this study was done to assess predictors of the unwillingness of health-care workers (HCWs) to continue providing their professional services during the climax of the COVID-19 crisis.

Methods: This was a facility-based descriptive cross-sectional study undertaken among 633 HCWsin western Ethiopia.

Results: Overall, 205 (32.4%) providers said that they would be unwilling to continue work if COVID-19 peaked. Of these, 176 (27.9%) respondents reported that they would stop going in to work before they were at greatest risk. Statistical analysis performed to predict HCWs unwillingness' to continue work at peak COVID-19 showed male sex (AOR 11.4, 95% CI 8.32-12.6), younger age (AOR 25.3, 95% CI 4.61-40.67), lack of experience in handling similar pandemics (AOR 5.15, 95% CI 1.1-255), and low perceived level of hospital preparedness (AOR 2.05, 95% CI 0.80-5.21) were predictors of unwillingness. In accordance with the extended parallel-process model, higher threat perception (P≤0.001) and low efficacy perception (P≤0.040) were associated with unwillingness of the HCWs to continue working.

Conclusion: The proportion of HCWs unwilling to continue their job during COVID-19 is sufficient to affect efforts tof fight the pandemic. As the question of whether our HCWs must risk themselves to treat COVID-19 patients does not have a uniform answer, working on predictors of potential unwillingness is of paramount importance.

Keywords: COVID-19; health-care workers; pandemic; unwillingness.

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Conflict of interest statement

The authors declare no conflicts of interest for this work.

References

    1. UKEssays. Health care workers and pandemics social work essay. November, 2018. Available from: https://www.ukessays.com/essays/socialwork/health-care-workers-and-pande.... Accessed February27, 2021.
    1. WHO. Novel coronavirus–China. 2020. Available from: https://www.who.int/csr/don/12january-2020-novel-coronavirus-china/en. Accessed February27, 2021.
    1. Zhu N, Zhang D, Wang W, et al. A novel coronavirus from patients with pneumonia in China, 2019. N Engl J Med. 2020;382(8):727–733. doi:10.1056/NEJMoa2001017 - DOI - PMC - PubMed
    1. Adhikari SP, Meng S, Wu YJ, et al. Epidemiology, causes, clinical manifestation and diagnosis, prevention and control of coronavirus disease (COVID-19) during the early outbreak period: a scoping review, Adhikari et al. Infect Dis Poverty. 2020;9:29. doi:10.1186/s40249-020-00646-x - DOI - PMC - PubMed
    1. Sahin AR, Erdogan A, Mutlu Agaoglu P, Dineri Y, Cakirci AY, Senel ME. 2019 novel coronavirus (COVID-19) outbreak: a review of the current literature. EJMO. 2020;4(1):1–7.