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Succumbing to the COVID-19 Pandemic: Healthcare Workers not Satisfied and Intend to Leave Their Jobs
Stephen X. Zhang; Jiyao Chen; Asghar Afshar Jahanshahi; Aldo Alvarez-Risco; Huiyang Dai; Jizhen Li; Ross Patty-Tito.
Affiliation
  • Stephen X. Zhang; University of Adelaide
  • Jiyao Chen; Oregon State University
  • Asghar Afshar Jahanshahi; Pontifical Catholic University of Peru
  • Aldo Alvarez-Risco; University of Lima
  • Huiyang Dai; Tsinghua University
  • Jizhen Li; Tsinghua University
  • Ross Patty-Tito; Caja Petrolera de Salud
Preprint in En | PREPRINT-MEDRXIV | ID: ppmedrxiv-20110809
Journal article
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ABSTRACT
BackgroundHealthcare 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. MethodsBetween 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. ResultsThe 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). ConclusionsThese 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.
License
cc_by_nc
Full text: 1 Collection: 09-preprints Database: PREPRINT-MEDRXIV Type of study: Observational_studies / Prognostic_studies / Rct Language: En Year: 2020 Document type: Preprint
Full text: 1 Collection: 09-preprints Database: PREPRINT-MEDRXIV Type of study: Observational_studies / Prognostic_studies / Rct Language: En Year: 2020 Document type: Preprint