There is a global shortage of nurses that affects healthcare delivery, which will be exacerbated with the increasing demand for healthcare professionals by the aging population. The growing shortage requires an ethical exploration on the issue of nurse migration. In this article, we discuss how migration respects the autonomy of nurses, increases cultural diversity, and leads to improved patient satisfaction and health outcomes. We also discuss the potential for negative impacts on public health infrastructures, lack of respect for cultural diversity, (...) and ethical concerns related to autonomy and justice, including coercion and discrimination. This analysis is written from a rights-based ethics approach by referring to rights held by nurses and patient populations. Nurse migration highlights conflicts between nurses and between nurses and healthcare systems. Increased awareness of ethical challenges surrounding nurse migration must be addressed to enhance the well-being of nurses and patient populations. (shrink)

Nurses have traditionally been regarded as clinicians that deliver compassionate, safe, and empathetic health care (Nurses again outpace other professions for honesty & ethics, 2018). Caring is a fundamental characteristic, expectation, and moral obligation of the nursing and caregiving professions (Nursing: Scope and standards of practice, American Nurses Association, Silver Spring, MD, 2015). Along with caring, nurses are expected to undertake ever‐expanding duties and complex tasks. In part because of the growing physical, intellectual and emotional demandingness, of nursing as well (...) as technological advances, artificial intelligence (AI) and AI care robots are rapidly changing the healthcare landscape. As technology becomes more advanced, efficient, and economical, opportunities and pressure to introduce AI into nursing care will only increase. In the first part of the article, we review recent and existing applications of AI in nursing and speculate on future use. Second, situate our project within the recent literature on the ethics of nursing and AI. Third, we explore three dominant theories of caring and the two paradigmatic expressions of caring (touch and presence) and conclude that AI—at least for the foreseeable future—is incapable of caring in the sense central to nursing and caregiving ethics. We conclude that for AI to be implemented ethically, it cannot transgress the core values of nursing, usurp aspects of caring that can only meaningfully be carried out by human beings, and it must support, open, or improve opportunities for nurses to provide the uniquely human aspects of care. (shrink)

Historically nurses have lacked significant input in end-of-life decision-making, despite being an integral part of care. Nurses experience negative feelings and moral conflict when forced to aggressively deliver care to patients at the EOL. As a result, nurses participate in slow codes, described as a limited resuscitation effort with no intended benefit of patient survival. The purpose of this study was to explore and understand the process nurses followed when making decisions about participation in limited resuscitation. Five core categories emerged (...) that describe this theory: (1) recognition of patient and family values at the EOL; (2) stretching time and reluctance in decision-making; (3) harm and suffering caused by the physical components of CPR; (4) nurse’s emotional and moral response to delivering aggressive care, and; (5) choosing limited resuscitation with or without a physician order. Several factors in end-of-life disputes contribute to negative feelings and moral distress driving some nurses to perform slow codes in order to preserve their own moral conflict, while other nurses refrain unless specifically ordered by physicians to provide limited care through tailored orders. (shrink)