Nurses' perspectives about end-of-life care when family presence is restricted during a pandemic: A qualitative study

Background: To prevent the infection from spreading, patients who were dying from COVID-19 were treated in isolation with restricted family access, which differed from existing end-of-life care procedures. This was a significant change that affected the care provided by nurses. Objectives: This study explored nurses' end-of-life care experiences in a limited family visitation setting during the COVID-19 pandemic. Methods: A descriptive qualitative study was conducted. Data were collected through individual, indepth, semistructured interviews with ten critical care nurses who provided end-of-life care to patients with COVID-19 in South Korea. The data were analysed using thematic analysis. The Consolidated Criteria for Reporting Qualitative Research checklist was used to assess the study's rigour. Findings: Three themes were identified: 'Witnessing patients' and families' heartbreak over separation', 'The gaps between the ideals and realities of end-of-life care', and 'Efforts to provide patients with a comfortable final journey'. Nurses realise the importance of their central role in supporting interactions between patients and families during end-of-life care. Conclusions: Family participation, facilitated by nurses' interest and efforts as mediators connecting patients and families, is essential for achieving high-quality care for inpatients facing end of life. This study is significant as it emphasises that the direction of end-of-life care should be family centric, even in a pandemic situation with limited family participation. To improve interaction between patients and families, creating an environment based on family participation that builds trust and strengthens communication is essential. Additionally, hospital support, such as professional education and counselling, should be provided to strengthen nurses' end-of-life care competency. (c) 2024 Australian College of Critical Care Nurses Ltd. Published by Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.