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

Torki Al-Otaibi; Ahmad Abbas; Osama Ashry Gheith; Prasad Nair; Mohamed A Zahab; Mryhan A A Hammouda; Mahmoud M Farid; Reem M Aljowaie; Noorah A AlKubaisi; Eman Fouad Mohamed; Arshad Mehmood Abassi; Yasmine H Eisa

doi:10.1016/j.jksus.2022.102441

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

J King Saud Univ Sci. 2023 Jan;35(1):102441. doi: 10.1016/j.jksus.2022.102441. Epub 2022 Nov 11.

Authors

Torki Al-Otaibi¹, Ahmad Abbas^{1

2}, Osama Ashry Gheith^{1

3}, Prasad Nair¹, Mohamed A Zahab¹, Mryhan A A Hammouda⁴, Mahmoud M Farid^{5

6}, Reem M Aljowaie⁷, Noorah A AlKubaisi⁷, Eman Fouad Mohamed⁸, Arshad Mehmood Abassi^{9

10}, Yasmine H Eisa¹¹

Affiliations

¹ The Nephrology Department, Hamed Al-Essa Organ Transplant Center, Ibn Sina Hospital, Sabah Area, Kuwait.
² Chest Department, Faculty of Medicine, Zagazig University, Zagazig, Egypt.
³ Department of Dialysis and Transplantation, Urology Nephrology Center, Mansoura University, Mansoura, Egypt.
⁴ Lecturer of Industrial Medicine and Occupational Health, Community, Environmental and Occupational Medicine Department, Faculty of Medicine, Zagazig University, Zagazig, Egypt.
⁵ Clinical Pathology Specialist, National Blood Transfusion Services, Egypt.
⁶ Health Care Management Consultant, Technical Office, MOH, Kuwait.
⁷ Department of Botany and Microbiology, College of Science, King Saud University, P.O. 2455, Riyadh 11451, Saudi Arabia.
⁸ Psychiatry Department, Faculty of Medicine, Zagazig University, Egypt.
⁹ Department of Environmental Sciences, COMSATS University Islamabad, Abbottabad Campus, 22060, Pakistan.
¹⁰ University of Gastronomic Sciences, Piazza Vittorio Emanuele II, 9, 12042 Pollenzo, Italy.
¹¹ Community Medicine Department, Public Health and Preventive Medicine, Faculty of Medicine October 6 University, Giza, Egypt.

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.