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Burnout prevalence and contributing factors among healthcare workers during the COVID-19 pandemic: A cross-sectional survey study in an urban community in Thailand

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dc.contributor.author Jadsada Kunno
dc.contributor.author Busaba Supawattanabodee
dc.contributor.author Chavanant Sumanasrethakul
dc.contributor.author Budsaba Wiriyasirivaj
dc.contributor.author Pataraporn Yubonpunt
dc.contributor.other Navamindradhiraj University. Faculty of Medicine Vajira Hospital th
dc.contributor.other Navamindradhiraj University. Faculty of Medicine Vajira Hospital th
dc.contributor.other Navamindradhiraj University. Faculty of Medicine Vajira Hospital th
dc.contributor.other Navamindradhiraj University. Faculty of Medicine Vajira Hospital th
dc.contributor.other มหาวิทยาลัยหัวเฉียวเฉลิมพระเกียรติ. คณะสาธารณสุขศาสตร์และสิ่งแวดล้อม th
dc.date.accessioned 2024-03-23T14:09:06Z
dc.date.available 2024-03-23T14:09:06Z
dc.date.issued 2022
dc.identifier.citation PLOS ONE · August 2022 th
dc.identifier.other https://doi.org/10.1371/journal.pone.0269421
dc.identifier.uri https://has.hcu.ac.th/jspui/handle/123456789/1963
dc.description สามารถเข้าถึงบทความฉบับเต็มได้ที่ https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0269421 th
dc.description.abstract Background: Burnout is associated with an increased risk for severe COVID-19. Few studies have examined burnout prevalence related to healthcare workers during the pandemic. This study investigated the burnout prevalence and contributing factors among HCWs, including medical staff and support staff, during the COVID-19 pandemic in an urban community in Thailand. Methods: A cross-sectional online survey was distributed among HCWs in Bangkok, Thailand, from July–August 2021. The independent t-test and one-way analysis of variance (ANOVA) were used to compare the contributing factors and burnout items. Variable factors associated with burnout among HCWs were used in multiple linear regression models. Results: A total of 517 HCWs’ survey responses were received. Most participants were medical staff (55.3%), female (83.4%), and over the age of 35 (59.4%); most participants (65.6%) did not have any diseases but had family members that did (63.6%). The prevalence of overall burnout presented among medical staff (25.9%). The results of the multiple linear regression models found that female (vs. male, β 0.088; 95% CI 0.033, 6.614) was higher associated with overall burnout score. In addition, hours of sleep as > 6 hr./day (vs. ≤ 6 hr./day, β -0.120; 95% CI -6.012, -0.969) was lower associated with overall burnout score. Conclusion: This study highlights the importance of addressing burnout among HCWs, in which female medical staff who slept less than six hours per day were associated with burnout. Our study further suggested that both intervention and identification are needed of frontline HCWs to prevent and reduce the risk of burnout, as the proportion of females compared to males is high. Thus, the government should provide support in these areas to prevent a humanitarian crisis. th
dc.language.iso en_US th
dc.subject บุคลากรสาธารณสุข th
dc.subject Public health personnel th
dc.subject โควิด-19 (โรค) th
dc.subject COVID-19 th
dc.subject การระบาดใหญ่ของโควิด-19, ค.ศ. 2020- th
dc.subject COVID-19 Pandemic, 2020- th
dc.subject ความเหนื่อยหน่าย (จิตวิทยา) th
dc.subject Burnout, Professional th
dc.title Burnout prevalence and contributing factors among healthcare workers during the COVID-19 pandemic: A cross-sectional survey study in an urban community in Thailand th
dc.type Article th


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