The Psychological and Professional Burden Experienced by Nurses Who Worked in COVID-19 Clinics during the Pandemic: A Content Analysis

Author:

Stavropoulou Areti1ORCID,Prasianaki Maria1,Papageorgiou Dimitris1ORCID,Kaba Evridiki1ORCID,Misouridou Evdokia1ORCID,Dafogianni Chrysoula1,Gerogianni Georgia1,Kelesi Martha1ORCID

Affiliation:

1. Department of Nursing, Faculty of Health and Care Sciences, University of West Attica, Ag. Spyridonos Str., 122 43 Athens, Greece

Abstract

Introduction: Since the beginning of the pandemic, nurses have played a key role in providing care for COVID-19 patients. Infection risk and fear, use of personal protective equipment, and social isolation were related to high levels of stress and extreme psychological drain among front-line healthcare providers. Aim: The aim of this study was to explore how front-line nurses experienced psychological and professional burdens during the coronavirus outbreak. Material and Methods: The study used a qualitative research design. Semi-structured interviews were applied as the method of data collection. Ten nurses from COVID-19 wards and units of two general public hospitals participated in the study. A content analysis approach was employed to analyze the data. Results: Data analysis revealed two main categories, namely: (A) front-line experience “From fear to empowerment”, and (B) caring and management “From powerlessness to adaptation”. Eight sub-categories were developed and included within the corresponding main categories. The study’s findings demonstrated that the pandemic caused significant psychological and professional strain on front-line nurses, with feelings of fear, anxiety, and uncertainty predominating. Nonetheless, the process of adaptation and adjustment brought about sentiments of self-actualization and empowerment. Conclusions: A thorough understanding of the psychological and professional burden experienced by the front-line nurses is crucial to ensure that nurses receive appropriate support and that quality care is sustained under highly demanding healthcare conditions.

Publisher

MDPI AG

Subject

General Computer Science

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