Special Issue "Global Health Workforce Resilience during COVID-19 Pandemic"

A special issue of Healthcare (ISSN 2227-9032). This special issue belongs to the section "Coronaviruses (CoV) and COVID-19 Pandemic".

Deadline for manuscript submissions: 30 November 2023 | Viewed by 923

Special Issue Editor

1. Nebraska Healthcare Collaborative Chair of Population Health Data Science Chairperson, Department of Cyber Systems, College of Business and Technology, The University of Nebraska at Kearney, Kearney, NE 68849, USA
2. Education Committee, Center for Intelligent Health Care, University of Nebraska Medical Center, Omaha, NE 68198-5506, USA
3. Visiting Professor, Department of Informatics, School of Economics and Management, Lund University, SE-22363 Lund, Sweden
Interests: complex systems; social networks; evolutionary systems; information flow; self organisation; bio-security; epidemics and public health interventions
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Special Issue Information

Dear Colleague,

Goal: The COVID-19 pandemic presents us with significant challenges which are bio-psycho-social dealing with not only the vaccine, treatment and contact tracing protocol, consistent and coherent messaging to population about safety, but also supporting the resilience of healthcare workforce for effective and efficient functioning in delivering healthcare outcomes for diverse affected population. Health officials don't have enough information to make informed decisions regarding the mental and psychological welfare of frontline health workforce during major catastrophic events. In order to support the frontline healthcare workforce, real-time data which is available in different social media platforms in which healthcare workers often voice their professional and personal concern is not reaching the appropriate channels forcing public health administrators to make uninformed decisions due to a lack of knowledge and poor communication across local, state, and national agencies. The development of a real-time social resilience data platform in capturing health workforce psycho-social challenges and further creation of an analytical toolkit for analyzing health workforce psychology will enable us to develop computational models for health workforce resilience as an analytical and predictive tool for exploring the coping ability of health care system workers who are impacted by the present COVID-19 pandemic.

Prof. Dr. Liaquat Hossain
Guest Editor

Manuscript Submission Information

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Published Papers (1 paper)

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Self-Compassion, Work Engagement and Job Performance among Intensive Care Nurses during COVID-19 Pandemic: The Mediation Role of Mental Health and the Moderating Role of Gender
Healthcare 2023, 11(13), 1884; https://doi.org/10.3390/healthcare11131884 - 29 Jun 2023
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(1) Background: The COVID-19 pandemic has highlighted attention on the importance of certain variables in predicting job performance. Among these, mental health is one of the main variables affected by this pandemic. It can have an important mediating role in predicting job performance [...] Read more.
(1) Background: The COVID-19 pandemic has highlighted attention on the importance of certain variables in predicting job performance. Among these, mental health is one of the main variables affected by this pandemic. It can have an important mediating role in predicting job performance by individual, occupational, and organizational variables, especially in the nursing community. However, there is little information about its mediation role among the predictors of job performance. This cross-sectional study aimed to examine the role of mental health as a mediating factor in the influence of self-compassion and work engagement on ICU nurses’ job performance during the COVID-19 pandemic, as well as the moderating effect of gender on all model relations. A survey of 424 ICU nurses (men 193 and women 231) was undertaken in three Coronavirus hospitals in Isfahan, Iran. (2) Method: Questionnaires were distributed and collected among the statistical sample, and the data from the questionnaires were analyzed using AMOS24 software (version 24). The research model was evaluated in two stages (the main model and the two sub-models in two gender groups). (3) Result: The analysis revealed that work engagement (β = 0.42, p < 0.001), mental health (β = 0.54, p < 0.001) and job performance (β = 0.51, p < 0.001) were discovered to be positively related to self-compassion. Work engagement is positively associated with mental health (β = 0.16, p < 0.01) and job performance (β = 0.21, p < 0.001), and mental health is linked positively to job performance (β = 0.23, p < 0.001). Furthermore, the effects of self-compassion and work engagement on job performance are mediated by mental health. According to the findings, gender moderates the link between self-compassion and work engagement, work engagement and job performance, and self-compassion and job performance. (4) Conclusion: Mental health has a mediating role in the effect of self-compassion and work engagement on ICU nurses’ job performance. Gender also acted as a moderator in some relationships. Males are dominant in all of these relationships as compared to females. Full article
(This article belongs to the Special Issue Global Health Workforce Resilience during COVID-19 Pandemic)
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