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When the storm is the strongest: The health conditions and job satisfaction of Healthcare staff and their associated predictors during the epidemic peak of COVID-19
Stephen X. Zhang; Jing Liu; Asghar Afshar Jahanshahi; Khaled Nawaser; Jizhen Li; Hadiseh Alimoradi.
Afiliação
  • Stephen X. Zhang; University of Adelaide
  • Jing Liu; Jilin University
  • Asghar Afshar Jahanshahi; Pontifical Catholic University of Peru
  • Khaled Nawaser; University of Applied Science and Technology (UAST)
  • Jizhen Li; Tsinghua University
  • Hadiseh Alimoradi; Kerman University of Medical Science
Preprint em Inglês | medRxiv | ID: ppmedrxiv-20082149
ABSTRACT
This study reports the physical health, mental health, anxiety, depression, distress, and job satisfaction of healthcare staff in Iran when the country faced its highest number of total active COVID-19 cases. In a sample of 304 healthcare staff (doctors, nurses, radiologists, technicians, etc.), we found a sizable portion reached the cutoff levels of disorders in anxiety (28.0%), depression (30.6%), and distress (20.1%). Age, gender, education, access to PPE (personal protective equipment), healthcare institutions (public vs. private), and individual status of COVID-19 infection each predicted some but not all the outcome variables of SF-12, PHQ-4, K6, and job satisfaction. The healthcare workers varied greatly in their access to PPE and in their status of COVID-19 infection negative (69.7%), unsure (28.0%), and positive (2.3%). The predictors were also different from those identified in previous studies of healthcare staff during the COVID-19 crisis in China. This study helps to identify the healthcare staff in need to enable more targeted help as healthcare staff in many countries are facing peaks in their COVID-19 cases.
Licença
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Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Estudo prognóstico Idioma: Inglês Ano de publicação: 2020 Tipo de documento: Preprint
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Estudo prognóstico Idioma: Inglês Ano de publicação: 2020 Tipo de documento: Preprint
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