RESUMEN
AIM AND OBJECTIVES: The aim of this study was to explore the sources of ethical conflict and the decision-making processes of ICU nurses and physicians during the first and subsequent waves of the COVID-19 pandemic. BACKGROUND: Depside several studies exploring ethical conflicts during COVID-19 pandemic, few studies have explored in depth the perceptions and experiences of critical care professionals regarding these conflicts, the decision-making process or which have analysed the complexity of actually implementing the recommendations of scientific societies and professional/healthcare institutions in interdisciplinary samples. DESIGN: A descriptive phenomenological study. METHODS: Thirty-eight in-depth interviews were conducted with critical care nurses and physicians from five hospitals in Spain and Italy between December 2020 and May 2021. A thematic content analysis of the interview transcripts was conducted by two researchers. Consolidated criteria for reporting qualitative research (COREQ) were employed to ensure the quality and transparency of this study. RESULTS: Two main themes emerged as sources of ethical conflict: the approach to end of life in exceptional circumstances and the lack of humanisation and care resources. The former comprised two subthemes: end-of-life care and withholding and withdrawal of life-sustaining treatment; the latter comprised three subthemes: the impossibility of guaranteeing the same opportunities to all, fear of contagion as a barrier to taking decisions and the need to humanise care. CONCLUSIONS: Professionals sought to take their decisions in line with professional ethics and bioethical principles, but, nevertheless, they experienced moral dilemmas and moral distress when not being able to care for, or to treat, their patients as they believed fit. RELEVANCE TO CLINICAL PRACTICE: Further education and training are recommended on the provision of end-of-life and post-mortem care, effective communication techniques via video calls, disclosure of bad news and bioethical models for decision-making in highly demanding situations of uncertainty, such as those experienced during the COVID-19 pandemic.
