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Aims: To identify the effects of moral distress and terminal care stress on the terminal care performance of nurses who cared for COVID-19 patients.
Design: This study was cross-sectional descriptive research.
Methods: Using a convenience sampling method from June to October 2022, nurses who provided terminal care for COVID-19 patients in a Korean tertiary hospital within the last 6 months from the time of the study were selected as participants. Socio-demographic and work characteristics of the participants were collected, and COVID-19 moral distress, terminal care stress and terminal care performance were assessed. A total of 140 self-report questionnaires were distributed and returned (response rate: 100%).
Results: In the terminal care performance, it was found that nurses performed relatively well in the physical area, but less well in the emotional and spiritual areas. Moral distress and terminal care stress were both positively correlated with terminal care performance for nurses who cared for COVID-19 patients. The predictors of terminal care performance were moral distress (β = 0.27, p = 0.003), gender (β = 0.20, p = 0.015) and experience in a dedicated COVID-19 unit (β = 0.22, p = 0.020).
Conclusions: The study identified moral distress as the most significant factor influencing terminal care performance among nurses caring for COVID-19 patients. To enhance terminal care performance, it is crucial to address moral distress and provide clear guidelines and support, especially in the emotional and spiritual care domains. Future research should explore additional factors that may influence terminal care performance in pandemic situations.
Patient Or Public Contribution: No patient or public contribution.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11625454 | PMC |
http://dx.doi.org/10.1002/nop2.70103 | DOI Listing |
J Hosp Palliat Care
September 2025
Department of Family Medicine, Korea University Guro Hospital, Seoul, Korea.
Purpose: This study investigated the association between spiritual well-being and care burden among family caregivers of patients with terminal cancer.
Methods: Data from 172 family caregivers from nine hospice care units in South Korea were analyzed using multivariate regression models. Spiritual well-being was measured using the Functional Assessment of Chronic Illness Therapy - Spiritual Well-being questionnaire, and the subjective care burden on family caregivers was assessed using the Caregiver Reaction Assessment tool.
J Hosp Palliat Care
September 2025
Emergency Department, Seoul National University Hospital, Seoul, Korea.
Purpose: This study aimed to identify predictors of end-of-life (EOL) care provided by emergency nurses in South Korea.
Methods: A cross-sectional survey was conducted using a structured questionnaire. Data were collected using Google Forms between June 21 and 30, 2022.
Clin Interv Aging
September 2025
Siaal Research Center for Family Medicine and Primary Care, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer- Sheva, Israel.
Purpose: Providing essential end-of-life care for patients with advanced dementia depends on physicians' ability to identify eligible individuals and refer them to hospice services. In practice, however, such referrals are often delayed-or not made at all. This study aimed to examine the factors associated with physicians' knowledge and attitudes toward referring patients with advanced dementia to home hospice care, and to compare characteristics of those who refer with those who do not.
View Article and Find Full Text PDFOpen Med (Wars)
August 2025
Research Unit of Bioethics and Humanities, Department of Medicine and Surgery, Università Campus Bio-Medico di Roma, Roma, 00128, Italy.
Introduction: Advance care planning is a critical process that brings patients, their families, and healthcare providers together to set goals and outline preferences for future medical treatments, especially when chronic or terminal illnesses are involved. Recently, artificial intelligence has begun playing a key role in shared decision making, offering personalized recommendations based on detailed data analysis to help refine treatment decisions.
Objective: This review explores Artificial Intelligence's role in shared decision making, noting its potential to enhance treatment precision, reduce the workload for healthcare providers, and empower patients to engage more actively in their cares.
Cardiovasc Endocrinol Metab
December 2025
Department of Endocrinology, Scientific Services, USV Pvt. Ltd, Mumbai, Maharashtra, India.
Background: Co-occurrence of type 2 diabetes mellitus (T2DM) and heart failure (HF) elevates the risk of morbidity and mortality. Recent research emphasizes treatment strategies that go beyond glycemic control to enhance heart function.
Aim: To assess the effectiveness and safety of the fixed-drug combination of dapagliflozin and sitagliptin (FDC D/S) in T2DM patients with HF.