Introduction: The COVID-19 pandemic created new and exacerbated existing stressors for frontline healthcare workers. Despite being disproportionately affected by COVID-19, little is known about the experiences of frontline healthcare workers serving marginalized populations in community settings.
Design: We used qualitative descriptive methods to understand the experiences of 12 frontline healthcare workers (HCWs) supporting primarily underserved populations in outpatient settings during COVID-19. Interviews were conducted from March to April 2021.
Methods: Interviews were held virtually via Zoom using a semi-structured interview guide. Interviews were audio-recorded, transcribed verbatim, and uploaded into NVivo 12 qualitative data analysis software. The transcripts were dually coded by members of the research team and a thematic analysis was conducted.
Results: Four major themes from the interviews were identified: stressors and burnout, coping strategies, organizational support, and recommendations. HCWs described how the early adjustment period to the pandemic created new challenges as they attempted to navigate changes in the workplace and altered responsibilities at home. HCWs felt largely unsupported by their organizations as they attempted to cope with stressors. Organizational support programs and resources often did not meet frontline workers' needs, and sentiments of unappreciation from leadership contributed to feelings of burnout and frustration as pandemic-related challenges persisted and evolved.
Conclusion: Despite encountering numerous stressors at work and home, resulting from pandemic-related disruptions, frontline HCWs continued to provide care for their clients while navigating emerging challenges. Health organizations should include HCWs in decision-making processes when implementing support systems for workers during times of crisis.
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http://dx.doi.org/10.3389/fpubh.2022.983414 | DOI Listing |
Nurs Leadersh (Tor Ont)
June 2025
Clinical Practice Leader Corporate Interprofessional Practice Lakeridge Health Durham Region, ON.
The integration of artificial intelligence (AI) into healthcare represents a paradigm shift with the potential to enhance patient care and streamline clinical operations. This commentary explores the Canadian perspective on key organizational considerations for nurse executives, emphasizing the critical role they play in fostering the establishment of AI governance structures and advancing the front-line adoption of AI in nursing practice. The discussion delves into five domains of consideration, analyzing recent developments and implications for nursing executives.
View Article and Find Full Text PDFHealthcare (Basel)
January 2025
Faculty of Medical Sciences, University of Kragujevac, 34000 Kragujevac, Serbia.
: The COVID-19 pandemic imposed immense stress on healthcare systems worldwide, significantly affecting the mental well-being of healthcare workers (HCWs). This study examined the sociodemographic, occupational, and COVID-19-related predictors of burnout syndrome among Serbian HCWs. : A cross-sectional survey of 400 doctors and nurses utilized the Maslach Burnout Inventory to assess emotional exhaustion, depersonalization, and personal accomplishment.
View Article and Find Full Text PDFBMC Med Educ
January 2025
Non-communicable Diseases Research Center, Research Institute for Prevention Non-communicable Diseases Qazvin University of Medical Sciences, Qazvin, Iran.
Background: A competent management workforce is crucial to achieve the effectiveness and efficiency of health service provision and to lead and manage the health system reform agenda. However, the traditional recruitment and promotion approach of relying on clinical performance and seniority provides limited incentives for competency development and improvement among hospital managers in Iran. There is limited evidence on the competency development needs of hospital managers in Iran that can guide setting training and development direction.
View Article and Find Full Text PDFSci Rep
January 2025
Hospital Tuanku Ja'afar, Jalan Rasah, 70300, Seremban, Negeri Sembilan, Malaysia.
The COVID-19 pandemic has burdened healthcare systems globally. To curb high hospital admission rates, only patients with genuine medical needs are admitted. However, machine learning (ML) models to predict COVID-19 hospitalization in Asian children are lacking.
View Article and Find Full Text PDFBMC Emerg Med
January 2025
Department of Health in Disasters and Emergencies, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran.
Background: Volunteers providing nursing services are among the first individuals to arrive at the scene after an incident; therefore, they must use their skills and capabilities to provide necessary care for the injured to prevent problems from worsening and complications from arising. Consequently, having structured empowerment courses for volunteers before disasters seems essential. This research aimed to determine the dimensions and components of empowering volunteer nursing service providers in disasters.
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