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Succumbing to the COVID-19 Pandemic – Healthcare Workers not Satisfied and Intend to Leave Their Jobs (Preprint)
(JMIR Publications, 2020-06-27)
BACKGROUND Healthcare workers are under such a tremendous amount of pressure during the COVID-19 pandemic that many have become concerned about their jobs and even intend to leave them. It is paramount for healthcare workers to feel satisfied with their jobs and lives during a pandemic. OBJECTIVE This study aims to examine the predictors of job satisfaction, life satisfaction, and turnover intention of healthcare workers during the COVID-19 pandemic. METHODS Between 10 to 30 April, 2020, 240 healthcare workers in Bolivia completed a cross-sectional online survey, which assessed their job satisfaction, life satisfaction, and turnover intention in the ongoing COVID-19 pandemic. RESULTS The results revealed that their number of office days predicted job satisfaction, life satisfaction, and turnover intention, but the relationships varied by their age. For example, healthcare workers’ office days negatively predicted job satisfaction for the young (e.g. at 25 years old: b=-0.21; 95% CI: -0.36 to -0.60) but positively predicted job satisfaction for the old (e.g. at 65 years old: b=0.25; 95% CI: 0.06 to 0.44). CONCLUSIONS These findings provide evidence to enable healthcare organizations to identify staff concerned about job satisfaction, life satisfaction, and turnover intention to enable early actions so that these staff can remain motivated to fight the prolonged COVID-19 pandemic.
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Succumbing to the COVID-19 Pandemic – Healthcare Workers not Satisfied and Intend to Leave Their Jobs
(Cold Spring Harbor Laboratory, 2020-05-24)
Abstract Background Healthcare workers are under such a tremendous amount of pressure during the COVID-19 pandemic that many have become concerned about their jobs and even intend to leave them. It is paramount for healthcare workers to feel satisfied with their jobs and lives during a pandemic. Methods Between 10 to 30 April, 2020, 240 healthcare workers in Bolivia completed a cross-sectional online survey, which assessed their job satisfaction, life satisfaction, and turnover intention in the ongoing COVID-19 pandemic. Results The results revealed that their number of office days predicted job satisfaction, life satisfaction, and turnover intention, but the relationships varied by their age. For example, healthcare workers’ office days negatively predicted job satisfaction for the young (e.g. at 25 years old: b=-0.21; 95% CI: −0.36 to −0.60) but positively predicted job satisfaction for the old (e.g. at 65 years old: b=0.25; 95% CI: 0.06 to 0.44). Conclusions These findings provide evidence to enable healthcare organizations to identify staff concerned about job satisfaction, life satisfaction, and turnover intention to enable early actions so that these staff can remain motivated to fight the prolonged COVID-19 pandemic.
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When the storm is the strongest: Healthcare staff’s health conditions and job satisfaction and their associated predictors during the epidemic peak of COVID-19
(Cold Spring Harbor Laboratory, 2020-05-02)
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.
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