Mental health among healthcare workers during COVID-19 pandemic in Thailand

Chinvararak, Chotiman; Kerdcharoen, Nitchawan; Pruttithavorn, Wisarat; Polruamngern, Nongnuch; Asawaroekwisoot, Thanin; Munsukpol, Wanida; Kirdchok, Pantri

doi:10.1371/journal.pone.0268704

Cited by 36 publications

(22 citation statements)

References 53 publications

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“…Burnout was measured with the Maslach Burnout Inventory-General Survey (MBI-GS), translated and revised by Li Chaoping [21]. The scale includes three dimensions: emotional exhaustion, cynicism, and personal accomplishment.…”

Section: Burnoutmentioning

confidence: 99%

Nurses' job burnout after the first peak of COVID-19 in Northeast China: a descriptive study

Zhao

Sun

et al. 2023

Preprint

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Background: Since November 2022, China has continuously optimized and adjusted its prevention and control measures to achieve a smooth transition in the prevention and control of the epidemic in a relatively short period of time, and successfully passed the first wave of the COVID-19 epidemic. The purpose of this study was to investigate nurses' job burnout and its influencing factors after the first peak of COVID-19 in Northeast China. Methods: 1350 frontline nurses in Northeast China were surveyed online through a questionnaire, including a general information questionnaire,Maslach Burnout Inventory-General Survey(MBI-GS), Simplified Coping Style Scale(SCSQ), and Perceived Social Support Scale(PSSS). The final effective response was 1328, with an effective response rate of 98.37%. Results: 47.44% of nurses in Northeast China experienced job burnout after the first peak of COVID-19. The risk factors for job burnout are persistence in work and night shifts during self infection (OR: 1.342,95% CI: 1.002-1.798). The protective factors are that there are no elderly people in the family who need to take care of themselves (OR: 0.669,95% CI: 0.510-0.878), no patients who need to be cared for every day (OR: 0.574,95% CI: 0.363-0.908), or 3-5 patients who need to be cared for (OR: 0.560,95% CI: 0.381-0.823), financial support (OR: 0.766,95% CI: 0.604-0.971), psychological support (OR: 0.550,95% CI: 0.409-0.742), and family assistance (OR: 0.427,95% CI: 0.324-0.564). Job burnout is negatively correlated with perceived social support, and positively correlated with coping styles. Conclusions: Nurses in Northeast China experienced moderate job burnout after the first peak of COVID-19. Managers should make adequate preparations for the arrival of a new COVID-19 peak according to the influencing factors of nurses' job burnout.

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Section: Burnoutmentioning

confidence: 99%

Nurses' job burnout after the first peak of COVID-19 in Northeast China: a descriptive study

Zhao

Sun

et al. 2023

Preprint

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“…During the height of the pandemic, however, resources to support nurses and other healthcare professionals in the delivery of patient care were under severe constraints [ 24 ]. As such, nurses in Thailand have experienced burnout, depression, and post-traumatic stress disorder [ 8 ] at rates similar to those documented in other countries [ 15 ]. However, to our knowledge, studies have yet to be conducted on nurse resilience and its relationships with nurse job outcomes in Thailand.…”

Section: Introductionmentioning

confidence: 99%

Exploring the relationships between resilience, burnout, work engagement, and intention to leave among nurses in the context of the COVID-19 pandemic: a cross-sectional study

Nantsupawat,

Kutney-Lee,

Abhicharttibutra

et al. 2024

BMC Nurs

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Background Nurses have faced significant personal and professional stressors during the COVID-19 pandemic that have contributed to increased rates of burnout, intention to leave, and poorer work engagement. Resilience has been identified as a critical factor influencing job outcomes; however, the dynamics of this association have not yet been investigated within the context of the Thai workforce. The study objective was to determine the associations between resilience and job outcomes, including burnout, intention to leave, and work engagement among nurses working in Thailand during the COVID-19 pandemic. Methods This cross-sectional study gathered data from a sample of 394 registered nurses employed across 12 hospitals. The research instruments comprised the Connor–Davidson Resilience Scale (CD-RISC), the Maslach Burnout Inventory-Health Services Survey (MBI-HSS), a questionnaire assessing the intention to leave the job, and the Utrecht Work Engagement Scale (UWES). To determine the associations among the measured variables, multivariate logistic regression analyses were conducted. Results One-third of nurses experienced emotional exhaustion and depersonalization, and about half experienced reduced personal accomplishment; one-tenth of nurses intended to leave their job. Nurses who exhibited higher levels of resilience were found to have a significantly reduced likelihood of experiencing high emotional exhaustion, depersonalization, and a diminished sense of personal accomplishment. Conversely, these nurses were more likely to report higher levels of work engagement than their less resilience. Conclusion The COVID-19 pandemic offers important lessons learned about promoting the well-being of the nursing workforce and protecting against adverse job outcomes. While we identified resilience as a significant predictor of several nurse outcomes, other work environment factors should be considered. Government and hospital administrations should allocate resources for individual and organizational-level interventions to promote resilience among frontline nurses so that hospitals will be better prepared for the next public health emergency and patient and nurse outcomes can be optimized.

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“…That study also reported increased sedentary behavior and undesirable weight gain. Thai healthcare workers also experienced negative mental health outcomes during the epidemic, such as burnout, anxiety, depression, and post-traumatic stress [ 14 ].…”

Section: Introductionmentioning

confidence: 99%

Life Satisfaction Before and During COVID-19 Pandemic in Thailand

Phulkerd¹,

Thapsuwan²,

Gray³

et al. 2023

Int J Public Health

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Objective: To investigate prevalence of life satisfaction in the Thai population before and during the COVID-19 epidemic, and factors associated with life satisfaction during the epidemic.Methods: Multistage sampling was used to draw a sample from the Thai population. A total of 3,115 Thai participants age 15 years or older from a nationally-representative longitudinal survey in 2019 and in 2021 were included in this study. The study applied the Scale with Life Satisfaction (SWLS) instrument to measure life satisfaction among the Thai population before and during the COVID-19 epidemic. Multiple regression analysis was used to investigate the association between life satisfaction and other variables. The follow-up survey response rate for individuals was 44.8%.Results: An average life satisfaction score during the COVID-19 epidemic (in 2021) was 22.4 which decreased from 25.5 before the COVID-19 epidemic (in 2019). More than one-third of the participants (36.5%) reported having less life satisfaction during the epidemic, which was nearly 20 percentage points higher than before the epidemic (17.7%). Controlling for life satisfaction in 2019, the analysis found statistical associations between demographic and economic characteristics and health-related behaviours, and life satisfaction during 2021. People in the older age cohorts (p ≤ 0.001), in a rural area (p ≤ 0.05), having higher education (p ≤ 0.001), still being employed (p ≤ 0.01) and becoming unemployed (p ≤ 0.01) had higher life satisfaction. The possibility of higher life satisfaction was also found in people who maintained good health (p ≤ 0.01), sufficient physical activity (p ≤ 0.001), and fruit and vegetable intake (p ≤ 0.01). People with income loss during the epidemic had lower life satisfaction (p ≤ 0.05).Conclusion: The findings suggest that policies and systems for resilience and social protection are needed for empowering individuals—especially the poor and vulnerable—to cope with crises, and improve health and wellbeing outcomes.

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Mental health among healthcare workers during COVID-19 pandemic in Thailand

Cited by 36 publications

References 53 publications

Nurses' job burnout after the first peak of COVID-19 in Northeast China: a descriptive study

Nurses' job burnout after the first peak of COVID-19 in Northeast China: a descriptive study

Exploring the relationships between resilience, burnout, work engagement, and intention to leave among nurses in the context of the COVID-19 pandemic: a cross-sectional study

Life Satisfaction Before and During COVID-19 Pandemic in Thailand

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