• Medicine · Aug 2024

    Observational Study

    The risk factors for burnout among nurses: An investigation study.

    • Kunyu Wang, Xia Wang, Ying Han, Chunfen Ye, Lifen Pan, and Changcai Zhu.
    • Nursing Department, Wuhan University of Science and Technology Affiliated Tianyou Hospital, Wuhan, China.
    • Medicine (Baltimore). 2024 Aug 23; 103 (34): e39320e39320.

    AbstractThe objective of this investigation study is to examine the levels of burnout and work engagement among nurses working on the front lines of the COVID-19 pandemic. Additionally, we aim to analyze the risk factors associated with nurse burnout. This investigation study included a sample of 1764 registered nurses from 6 tertiary comprehensive hospitals in Wuhan. A total of 1800 questionnaires were distributed via email between January 2021 and July 2021, and 1764 completed questionnaires were returned. Nurses who had been on the front lines of the COVID-19 fight for more than six months were included in the study. The Maslach Burnout Inventory-General Survey (MBI-GS) scale was utilized to assess burnout levels among all nurses. Work engagement was measured using the Utrecht Work Engagement Scale (UWES). The general health of the nurses was evaluated using the General Health Questionnaire-12 (GHQ-12) score. Demographic and clinical data, including age, sex, hospital, department, education, years of experience, daily overtime, weekly rest time, number of night shifts per month, smoking or drinking habits, marital status, etc, were also collected. Statistical analyses were performed using SPSS 25.0. The GHQ-12 scores in the FC group were significantly higher than those in the non-frontline COVID-19 (NFC) group. Compared to the average value of the 2 groups, we found that the dimension 2 average value of UWES in NFC group (3.52 ± 1.07) were remarkably higher than that in FC group (3.40 ± 1.08, P < .05). Furthermore, the dimension 1 (emotional exhaustion) average value and dimension 2 (depersonalization) average value of MBI-GS in NFC group were remarkably declined than that in FC group. Spearman rank correlation showed that negative correlation among the average value of each dimension and the overall average values between MBI-GS and UWES. Logistic regression analysis showed that daily Overtime, fight against COVID-19, GHQ-12 score and dimension 2 of UWES were the risk factors for nurse burnout. In summary, this study showed that the dimension 1 (emotional exhaustion) average value and dimension 2 (depersonalization) average value of MBI-GS in NFC group were remarkably declined than that in FC group. This study may provide some basis for addressing nurse burnout.Copyright © 2024 the Author(s). Published by Wolters Kluwer Health, Inc.

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