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Yang YP, Pan SJ, Zhang MX, Chen HX, Tung TH. The impact of COVID-19 pandemic on healthcare workers under the "Ten New Guidelines" in Taizhou, China. Prev Med Rep 2024; 37:102550. [PMID: 38179442 PMCID: PMC10765108 DOI: 10.1016/j.pmedr.2023.102550] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Revised: 12/06/2023] [Accepted: 12/07/2023] [Indexed: 01/06/2024] Open
Abstract
Purpose We explored the influence of the "Ten new guidelines" on healthcare workers' preparedness, work impact, personal life impact, concerns, and support in Taizhou, China. Methods A hospital-based self-administered online survey was conducted to investigate the levels of COVID-19 related experience among healthcare workers in December 2022. In total, 472 out of 2080 healthcare workers (22.7 % response rate) completed the questionnaires with valid responses. Stepwise linear regression was used to investigate the independence of factors associated with preparedness, work impact, personal life impact, concerns, and support. Results The results revealed that working position (p < 0.001), pressure (p = 0.005), and negative affect (p < 0.001) were significantly associated with preparedness. Working position (p = 0.015), number of children (p = 0.040), working years (p = 0.019), COVID-19 risk perception (p < 0.001), work overload (p < 0.001), and negative affect (p < 0.001) were significantly associated with work impact. In addition, COVID-19 risk perception (p < 0.001), work overload (p < 0.001), pressure (p = 0.002), history of COVID-19 infection (p = 0.008), and awareness of possible infectious time (p = 0.031) were significantly associated with personal life impact. COVID-19 risk perception (p < 0.001), negative affect (p < 0.001), and work overload (p = 0.020) were significantly associated with concerns. Sex (p = 0.020) and negative affect (p = 0.016) were significantly associated with support. Conclusion Negative affect was the most significant factor associated with COVID-19 related questions among healthcare workers under "Ten new guidelines" during COVID-19 pandemic.
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Affiliation(s)
- Yu-Pei Yang
- Department of Hematology, Taizhou Hospital of Zhejiang Province, Wenzhou Medical University, Linhai, Zhejiang, China
| | - Shuang-Jun Pan
- Department of Neurosurgery, Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University, Linhai, Zhejiang, China
| | - Mei-Xian Zhang
- Evidence-Based Medicine Center, Taizhou Hospital of Zhejiang Province, Wenzhou Medical University, Linhai, Zhejiang, China
| | - Hai-Xiao Chen
- Department of Orthopedics, Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University, Linhai, Zhejiang 317000, China
| | - Tao-Hsin Tung
- Evidence-Based Medicine Center, Taizhou Hospital of Zhejiang Province, Wenzhou Medical University, Linhai, Zhejiang, China
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Jing S, Dai Z, Wu Y, Liu X, Ren T, Liu X, Zhang L, Fu J, Chen X, Xiao W, Wang H, Huang Y, Qu Y, Wang W, Gu X, Ma L, Zhang S, Yu Y, Li L, Han Z, Su X, Qiao Y, Wang C. Prevalence and influencing factors of depressive and anxiety symptoms among hospital-based healthcare workers during the surge period of the COVID-19 pandemic in the Chinese mainland: a multicenter cross-sectional study. QJM 2023; 116:911-922. [PMID: 37561096 DOI: 10.1093/qjmed/hcad188] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Revised: 07/06/2023] [Indexed: 08/11/2023] Open
Abstract
BACKGROUND From November 2022 to February 2023, the Chinese mainland experienced a surge in COVID-19 infection and hospitalization, and the hospital-based healthcare workers (HCWs) might suffer serious psychological crisis during this period. This study aims to assess the depressive and anxiety symptoms among HCWs during the surge of COVID-19 pandemic and to provide possible reference on protecting mental health of HCWs in future infectious disease outbreaks. METHODS A multicenter cross-sectional study was carried out among hospital-based HCWs in the Chinese mainland from 5 January to 9 February 2023. The PHQ-9 (nine-item Patient Health Questionnaire) and GAD-7 (seven-item Generalized Anxiety Disorder Questionnaire) were used to measure depressive and anxiety symptoms. Ordinal logistic regression analysis was performed to identify influencing factors. RESULTS A total of 6522 hospital-based HCWs in the Chinse mainland were included in this survey. The prevalence of depressive symptoms among the HCWs was 70.75%, and anxiety symptoms was 47.87%. The HCWs who perceived higher risk of COVID-19 infection and those who had higher work intensity were more likely to experience depressive and anxiety symptoms. Additionally, higher levels of mindfulness, resilience and perceived social support were negatively associated with depressive and anxiety symptoms. CONCLUSION This study revealed that a high proportion of HCWs in the Chinese mainland suffered from mental health disturbances during the surge of the COVID-19 pandemic. Resilience, mindfulness and perceived social support are important protective factors of HCWs' mental health. Tailored interventions, such as mindfulness practice, should be implemented to alleviate psychological symptoms of HCWs during the COVID-19 pandemic or other similar events in the future.
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Affiliation(s)
- S Jing
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Z Dai
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Y Wu
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - X Liu
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - T Ren
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - X Liu
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - L Zhang
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - J Fu
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - X Chen
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - W Xiao
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - H Wang
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Y Huang
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Y Qu
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - W Wang
- School of Nursing, Jining Medical University, Jining, Shandong, China
| | - X Gu
- Affiliated Tumor Hospital, Xinjiang Medical University, Urumqi, China
| | - L Ma
- Public Health School, Dalian Medical University, Dalian, China
| | - S Zhang
- Henan Cancer Hospital, Affiliate Cancer Hospital of Zhengzhou University, Zhengzhou, China
| | - Y Yu
- The First Affiliated Hospital of Baotou Medical College, Baotou, Inner Mongolia Autonomous Region, China
| | - L Li
- Department of Clinical Research, The First Affiliated Hospital of Jinan University, Guangdong, China
| | - Z Han
- China Foreign Affairs University, Beijing, China
| | - X Su
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Y Qiao
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
- Department of Epidemiology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - C Wang
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
- Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
- National Clinical Research Center for Respiratory Diseases, Beijing, China
- Chinese Academy of Engineering, Beijing, China
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Kuhlmann E, Ungureanu MI, Behrens GMN, Cossmann A, Fehr LM, Klawitter S, Mikuteit M, Müller F, Thilo N, Brînzac MG, Dopfer-Jablonka A. Migrant healthcare workers during COVID-19: bringing an intersectional health system-related approach into pandemic protection. A German case study. Front Public Health 2023; 11:1152862. [PMID: 37533524 PMCID: PMC10393282 DOI: 10.3389/fpubh.2023.1152862] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2023] [Accepted: 06/26/2023] [Indexed: 08/04/2023] Open
Abstract
Introduction Migrant healthcare workers played an important role during the COVID-19 pandemic, but data are lacking especially for high-resourced European healthcare systems. This study aims to research migrant healthcare workers through an intersectional health system-related approach, using Germany as a case study. Methods An intersectional research framework was created and a rapid scoping study performed. Secondary analysis of selected items taken from two COVID-19 surveys was undertaken to compare perceptions of national and foreign-born healthcare workers, using descriptive statistics. Results Available research is focused on worst-case pandemic scenarios of Brazil and the United Kingdom, highlighting racialised discrimination and higher risks of migrant healthcare workers. The German data did not reveal significant differences between national-born and foreign-born healthcare workers for items related to health status including SARS-CoV-2 infection and vaccination, and perception of infection risk, protective workplace measures, and government measures, but items related to social participation and work conditions with higher infection risk indicate a higher burden of migrant healthcare workers. Conclusions COVID-19 pandemic policy must include migrant healthcare workers, but simply adding the migration status is not enough. We introduce an intersectional health systems-related approach to understand how pandemic policies create social inequalities and how the protection of migrant healthcare workers may be improved.
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Affiliation(s)
- Ellen Kuhlmann
- Department of Rheumatology and Immunology, Hannover Medical School, Hannover, Germany
| | - Marius-Ionut Ungureanu
- Department of Public Health, Faculty of Political, Administrative and Communication Sciences, Babeş-Bolyai University, Cluj-Napoca, Romania
- Center for Health Workforce Research and Policy, Faculty of Political, Administrative and Communication Sciences, Babeş-Bolyai University, Cluj Napoca, Romania
| | - Georg M. N. Behrens
- Department of Rheumatology and Immunology, Hannover Medical School, Hannover, Germany
- German Center for Infection Research (DZIF), Partner-Site Hannover-Braunschweig, Hannover, Germany
| | - Anne Cossmann
- Department of Rheumatology and Immunology, Hannover Medical School, Hannover, Germany
| | - Leonie Mac Fehr
- Department of Rheumatology and Immunology, Hannover Medical School, Hannover, Germany
| | - Sandra Klawitter
- Department of Computer Science, Ostfalia University of Applied Science, Wolfenbüttel, Germany
| | - Marie Mikuteit
- Department of Rheumatology and Immunology, Hannover Medical School, Hannover, Germany
| | - Frank Müller
- Department of General Practice, University Medical Center Göttingen, Göttingen, Germany
| | - Nancy Thilo
- Department of General Practice, University Medical Center Göttingen, Göttingen, Germany
| | - Monica Georgina Brînzac
- Department of Public Health, Faculty of Political, Administrative and Communication Sciences, Babeş-Bolyai University, Cluj-Napoca, Romania
- Center for Health Workforce Research and Policy, Faculty of Political, Administrative and Communication Sciences, Babeş-Bolyai University, Cluj Napoca, Romania
| | - Alexandra Dopfer-Jablonka
- Department of Rheumatology and Immunology, Hannover Medical School, Hannover, Germany
- German Center for Infection Research (DZIF), Partner-Site Hannover-Braunschweig, Hannover, Germany
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