Determinants, predictors and negative impacts of burnout among health care workers during COVID-19 pandemic

Torki Al-Otaibi 1, Ahmad Abbas 1 2, Osama Ashry Gheith 1 3, Prasad Nair 1, Mohamed A Zahab 1, Mryhan A A Hammouda 4, Mahmoud M Farid 5 6, Reem M Aljowaie 7, Noorah A AlKubaisi 7, Eman Fouad Mohamed 8, Arshad Mehmood Abassi 9 10, Yasmine H Eisa 11

Affiliations

01 January 2023

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doi: 10.1016/j.jksus.2022.102441

Abstract

The first defense line of the battle, healthcare workers (HCWs), faces a significant challenge in managing the current COVID-19 pandemic. An online electronic survey was sent to HCWs via email and social media networks. Socio-demographic data and work environment-related variables were assessed. Consequences of burnout (BO) were reported, e.g., elicited medical errors. Maslach burnout inventory was used to diagnose BO. Two hundred and eighty-four participants were included with a mean age of 39.83 ± 7.34 years, 70.8% worked in the COVID-19 frontline, 91.9% were followed daily updates about COVID-19, 63.7% were not satisfied with the coordination between triage and isolation, 64.4% got COVID-19 infection, 91.9% had a colleague or family member developed COVID-19 infection, and 21.5% experienced a colleague /a family member died due to COVID-19. Multivariate analysis by linear regression revealed that; working as a frontline HCW (OR 1.28, CI = 0.14-2.55) and sleep deprivation (OR 3.93, CI = 1.88-8.22) were the predictors of burnout.

Keywords: Burnout; CI, Confidence interval; COVID-19; Maslach Inventory; Medical errors.

Figures

Fig. 1 Frequency of Burnout in the studied population.

Fig. 1 Frequency of Burnout in the studied population.

Fig. 2 Severity of BOS domains among participants with Burnout (n = 137).

Fig. 2 Severity of BOS domains among participants with Burnout (n = 137).

Fig. 3 Consequences of Burnout Syndrome.

Fig. 3 Consequences of Burnout Syndrome.

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