The Prevalence and Predictors of Burnout Among Resident Doctors in Enugu State, South East Nigeria: A Mixed Method Study.

Autor:	Okeke TA; Department of Community Medicine, College of Medicine, University of Nigeria, Enugu Campus, Nigeria., Kassy CW; Department of Community Medicine, University of Nigeria Teaching Hospital, Ituku/Ozalla, Enugu, Nigeria., Chime OH; Department of Community Medicine, College of Medicine, Enugu State University, Owerri, Nigeria., Ogugua IJ; Department of Community, Federal Medical Centre, Owerri, Nigeria., Shu EN; Department of Pharmacology and Therapeutics, College of Medicine, University of Nigeria, Enugu Campus, Nigeria.
Jazyk:	angličtina
Zdroj:	Nigerian journal of clinical practice [Niger J Clin Pract] 2024 Sep 01; Vol. 27 (9), pp. 1102-1111. Date of Electronic Publication: 2024 Sep 30.
DOI:	10.4103/njcp.njcp_164_24
Abstrakt:	Background: Burnout in the health care industry is a potential hazard that has reached epidemic proportions mostly among doctors in practice and training. Burnout has enormous consequences on doctors, patients, and health care institutions. Aim: This study aimed to determine the prevalence and predictors of burnout among resident doctors in Enugu State, Nigeria. Methods: This was a mixed-method study of 420 resident doctors in tertiary hospitals in Enugu State, Nigeria. Data were collected using Oldenburg Burnout Inventory and in-depth interviews of chief resident doctors of selected departments. Data were analyzed using IBM statistical package 23.0 and Nvivo 11. Test of significance was set at 0.05. Results: The mean age of participants was 34.11 ± 5.08 years. The prevalence of burnout groups among resident doctors was 84.3% in the burnout group, 4.8% in the disengagement group, 6.9% in the exhaustion group, and 4.0% in the non-burnout group. Gender (OR = 1.861, C.I = 1.079-3.212), duration of training (OR = 1.740, C.I = 1.008-3.005), and working hours (OR = 2.982, C.I = 1.621-5.487) were the predictors of burnout; only working hours (OR = 0.279, C.I = 0.091-0.0862) was the predictor of disengagement; and gender (OR = 0.248, C.I = 0.107-0.579) was the predictor of exhaustion. Heavy workloads, long working hours, migration, poor working environment, job insecurity, poor remuneration, and management style were identified factors of burnout. Conclusion: There was high prevalence of burnout among resident doctors, predicted by gender, duration of training, and working hours. Interventions are needed to reduce burnout, prevent the "brain drain", and improve resident doctors' overall well-being. (Copyright © 2024 Copyright: © 2024 Nigerian Journal of Clinical Practice.)
Databáze:	MEDLINE
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