Background: We investigated some of the factors associated with depression, perceived stress, and anxiety in clinical and nonclinical healthcare workers of two hospitals.
Methods: A mixed-methods approach was used. The sample included clinical (physicians, nurses, and others) and nonclinical (security and cleaning staff) healthcare workers of two tertiary hospitals in Peru. Participants completed an online self-survey. In the qualitative analysis, data were subjected to thematic analysis.
Results: We analyzed data from 613 participants, of which 8.6%, 9.0%, and 78.2% had moderate-to-severe anxiety, depression, and perceived stress, respectively. Having a previous mental health problem, being concerned about losing one's job, having at least two COVID-19 symptoms in the preceding two weeks, and being afraid of infecting family members increased the prevalence of experiencing moderate-to-severe depression and anxiety. The qualitative analysis allowed us to identify five recurring factors that caused a negative impact on workers' lives during the pandemic: emotional distress linked to hospital experiences of suffering and death, modification of routines, fear of COVID-19, exacerbation of mental disorders, and physical problems associated with emotional distress.
Conclusions: Clinical and nonclinical healthcare workers in Peru have experienced depression, anxiety, and stress during the COVID-19 pandemic. Future research and interventions are necessary to improve psychological support for hospital workers.
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http://dx.doi.org/10.3390/ijerph19095346 | DOI Listing |
Sci Rep
December 2024
College of Advanced Manufacturing Innovation, King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand.
Vector-borne diseases pose a major worldwide health concern, impacting more than 1 billion people globally. Among various blood-feeding arthropods, mosquitoes stand out as the primary carriers of diseases significant in both medical and veterinary fields. Hence, comprehending their distinct role fulfilled by different mosquito types is crucial for efficiently addressing and enhancing control measures against mosquito-transmitted diseases.
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December 2024
Cancer Center, Department of Pulmonary and Critical Care Medicine, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, 310014, Zhejiang, China.
Hospital-acquired infection (HAI) and antimicrobial resistance (AMR) represent major challenges in healthcare system. Despite numerous studies have assessed environmental and patient samples, very few studies have explored the microbiome and resistome profiles of medical staff including nursing workers. This cross-sectional study was performed in a tertiary hospital in China and involved 25 nurses (NSs), 25 nursing workers (NWs), and 55 non-medical control (NC).
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December 2024
Advanced Research Institute for Digital-Twin Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou, 450046, China.
Traditional hydraulic structures rely on manual visual inspection for apparent integrity, which is not only time-consuming and labour-intensive but also inefficient. The efficacy of deep learning models is frequently constrained by the size of available data, resulting in limited scalability and flexibility. Furthermore, the paucity of data diversity leads to a singular function of the model that cannot provide comprehensive decision support for improving maintenance measures.
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December 2024
Department of Public Health, Shoushtar Faculty of Medical Sciences, Shoushtar, Iran.
Healthcare workers are exposed to a high risk of COVID-19 infection due to close contact with infected patients in healthcare centers. This study aimed to investigate the level of exposure and risk of COVID-19 virus infection among healthcare workers working in primary healthcare centers in Khuzestan province, Iran. This cross-sectional study was conducted among 599 healthcare workers working in primary healthcare centers in the northern region of Khuzestan province, Iran, in 2022.
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December 2024
Clinical Nursing Teaching and Research Section, the Second Xiangya Hospital of Central South University, Changsha, China.
The purpose of this study was to investigate the mediating effect of death reflection on death literacy and death anxiety in clinical nurses. A sample of 2,882 nurses in China were selected by convenience sampling. A socio-demographic questionnaire, a death literacy scale, a death reflection scale, and a death anxiety scale were used to investigate.
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