Evaluation of burnout among stay-behind healthcare workers during the current Omicron wave of COVID-19 in Taizhou, China

Pan, Shuang-Jun; Qian, Wei-Yan; Yang, Yupei; Zhang, Meixian; Hu, Xiaoming; Chen, Haixiao; Tung, Tao‐Hsin

doi:10.3389/fpsyt.2022.1022881

Cited by 8 publications

(10 citation statements)

References 42 publications

(41 reference statements)

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“…SARS-CoV-2 infection and its management by healthcare management systems remains a matter of significant concern. Omicron, the current SARS-CoV-2 variant, which includes BA.1, BA.2, BA.3, BA.4, BA.5, and descendent lineages, is much more contagious than its predecessors [25,26], which means that during surges, without an adequate level of preparedness, hospitals can become understaffed, thereby stressing and overburdening healthcare workers to a greater degree [27]. Healthcare workers are defined as workers who deliver care and services to the sick and ailing either directly (e.g., physicians, nurses, healthcare assistants, midwifes, etc.)…”

Section: Introductionmentioning

confidence: 99%

Physical Impact of SARS-CoV-2 Infection in a Population of Italian Healthcare Workers

Lulli

Baldassarre

Chiarelli

et al. 2023

IJERPH

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SARS-CoV-2 infection often causes symptoms and illness that can last for months after the acute phase, i.e., so-called “Long COVID” or Post-acute COVID-19. Due to the high prevalence of SARS-CoV-2 infection among Healthcare Workers (HCWs), post-COVID-19 symptoms can be common and threaten workers’ occupational health and healthcare systems’ functioning. The aim of this cross-sectional, observational study was to present data related to post-COVID-19 outcomes in a population of HCWs infected by COVID-19 from October 2020 to April 2021, and to identify possible factors associated with the persistence of illness, such as gender, age, previous medical conditions, and features of acute illness. A total of 318 HCWs who had become infected by COVID-19 were examined and interviewed approximately two months after their recovery from the infection. The clinical examinations were performed by Occupational Physicians in accordance with a specific protocol at the Occupational Medicine Unit of a tertiary hospital in Italy. The mean age of the participants was 45 years old, and 66.7% of the workers were women while 33.3% were men; the sample mainly consisted of nurses (44.7%). During the medical examination, more than half of the workers mentioned that they had experienced multiple residual bouts of illness after the acute phase of infection. Men and women were similarly affected. The most reported symptom was fatigue (32.1%), followed by musculoskeletal pain (13.6%) and dyspnea (13.2%). In the multivariate analysis, dyspnea (p < 0.001) and fatigue (p < 0.001) during the acute stage of illness and the presence of any limitation in working activities, in the context of fitness for a work evaluation performed while the occupational medicine surveillance program was being conducted (p = 0.025), were independently associated with any post-COVID-19 symptoms, which were considered final outcomes. The main post-COVID-19 symptoms—dyspnea, fatigue, and musculoskeletal pain—showed significant associations with dyspnea, fatigue, and musculoskeletal pain experienced during the acute stage of infection, with the presence of limitations in working activities, and pre-existing pneumological diseases. A normal weight according to body mass index was a protective factor. The identification of vulnerable workers as those with limitations in working activities, pneumological diseases, a high BMI, and of an older age and the implementation of preventive measures are key factors for preserving Occupational Health. Fitness-to-work evaluations performed by Occupational Physicians can be considered a complex index of overall health and functionality that can identify workers who may suffer from relevant post-COVID-19 symptoms.

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Section: Introductionmentioning

confidence: 99%

Physical Impact of SARS-CoV-2 Infection in a Population of Italian Healthcare Workers

Lulli

Baldassarre

Chiarelli

et al. 2023

IJERPH

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“…Table 5 displayed 10 articles related to the effect of social support on burnout with high AOR values found in the study of Pan et al (2022) (aOR = 0.94; 95% CI = 0.91 to 0.98) and the lowest aOR value found in the study by Belay et al ( 2021) (aOR= 0.07; 95% CI= 0.02 to 0.25). Table 4.…”

Section: Resultsmentioning

confidence: 98%

Meta-Analysis: The Effects of Workload and Social Support on Burnout in Health Workers

Hanifah,

Sumardiyono,

Murti

2023

J HEALTH POLICY MANAGE

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Background: Burnout is a psychological syndrome of exhaustion, cynicism and ineffectiveness at work. Some factors causing burnout are workload and family support. The existence of a high workload can increase the incidence of burnout and high social support can prevent burnout in health workers. This study aims to estimate the effect of workload and social support on burnout in health workers. Subjects and Method: A systematic review and meta-analysis was carried out using the PRISMA guidelines and the PICO model covering Population = health workers; Intervention = high workload and high social support; Comparison = low workload and low social support; Outcome = burnout. Articles were collected from databases such as PubMed, Science Direct, and Google Schoolar. The keywords used in the database search were workload AND "social support" AND burnout OR fatigue AND "health workers" AND "cross sectional".A total of 12 articles met the inclusion criteria for the meta-analysis and were assessed using RevMan 5.3. Results: Meta-analysis from France, Afghanistan, Canada, Uganda, Ghana, Ethiopia, Malawi, Brazil, Malaysia and China showed that high workloads can increase burnout in health workers (aOR= 2.37; 95% CI= 1.10 to 5.10; p = 0.003), high social support can reduce the risk of burnout in health workers (aOR= 0.54; 95% CI= 0.42 to 0.71; p= 0.001), and these results were statistically significant. Conclusion: High workload can increase burnout among health workers and high social support can reduce the risk of burnout in health workers. Keywords: workload, social support, burnout, health workers

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“…According to the results of binary logistic regression analysis, nurses with intermediate and senior professional titles presented lower levels of burnout, which was consistent with the findings in prior research (Jiang et al, 2021 ). Pan and colleagues investigated the burnout among stay-behind healthcare workers in the current COVID-19 Omicron wave in Taizhou, China (Pan et al, 2022 ). They found that professional title appeared to be significantly related to severe burnout.…”

Section: Discussionmentioning

confidence: 99%

Status and influencing factors of nurses’ burnout: A cross-sectional study during COVID-19 regular prevention and control in Jiangsu Province, China

Mao,

Hou,

Wang

et al. 2024

Camb. prisms Glob. ment. health

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Background: Chinese nurses working with immense stress may have issues with burnout during COVID-19 regular prevention and control. There were a few studies investigating status of burnout and associated factors among Chinese nurses. However, the relationships remained unclear.Objectives: To investigate status and associated factors of nurses' burnout during COVID-19 regular prevention and control. Methods: 784 nurses completed questionnaires including demographics, Generalized Anxiety Disorder-7, Patient Health Questionnaire-9, Insomnia Severity Index, Impact of Event Scalerevised, Perceived Social Support Scale, Connor-Davidson Resilience Scale, General Self-efficacy Scale and Maslach Burnout Inventory. Results: 310 (39.5%), 393 (50.1%) and 576 (73.5%) of respondents were at high risk of emotional exhaustion (EE), depersonalization (DP) and reduced personal accomplishment (PA). The risk of EE, DP and reduced PA were moderate, high and high. Nurses with intermediate and senior professional rank and title and worked >40 h every week had lower scores in EE. Those worked in low-risk department reported lower scores in PA. Anxiety, post-traumatic stress disorder (PTSD), self-efficacy and social support were influencing factors of EE and DP, while social support and resilience were associated factors of PA. Conclusion: Chinese nurses' burnout during COVID-19 regular prevention and control was serious. Professional rank and title, working unit, weekly working hours, anxiety, PTSD, selfefficacy, social support and resilience were associated factors of burnout. Impact statement Chinese nurses seemed to be more likely to suffer from burnout during COVID-19 regular prevention and control, since they worked in different conditions of clinical settings and were closely related to COVID-19 patient care, which put high physical and psychological pressure on nurses. Understanding the status of burnout of nursing group and associated factors during COVID-19 regular prevention and control is of great importance. It might aid the Chinese hospital management with potential measures to reduce or even prevent burnout among nurses during COVID-19 regular prevention and control. However, studies concerning the burnout and its associated factors are still limited. This study has examined the prevalence and associated factors of burnout among nurses during COVID-19 regular prevention and control of COVID-19 in Jiangsu Province, China. Background Burnout is a syndrome of emotional exhaustion (EE) and cynicism, often occurring in people who are engaged in "people-work" (Maslach and Jackson, 1981). It is usually measured by the Maslach Burnout Inventory, which has three dimensions (EE, depersonalization [DP] and personal accomplishment [PA]) (Genly, 2016). Several theories were proposed to understand Cambridge Prisms: Global Mental Health www.cambridge.org/gmh

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Evaluation of burnout among stay-behind healthcare workers during the current Omicron wave of COVID-19 in Taizhou, China

Cited by 8 publications

References 42 publications

Physical Impact of SARS-CoV-2 Infection in a Population of Italian Healthcare Workers

Physical Impact of SARS-CoV-2 Infection in a Population of Italian Healthcare Workers

Meta-Analysis: The Effects of Workload and Social Support on Burnout in Health Workers

Status and influencing factors of nurses’ burnout: A cross-sectional study during COVID-19 regular prevention and control in Jiangsu Province, China

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