Objectives: This systematic review aimed to synthesize evidence on the ethical dilemma’s nurses encounter in end-of-life care and effective palliative care practices. The objectives were to understand key ethical issues, evaluate communication and decision-making strategies, and identify approaches to support nurses and patients. Methods: A comprehensive search of major databases was conducted according to the PRISMA guidelines. Studies directly relating to nursing ethics, challenges in end-of-life decision-making, and palliative care practices were included. The risk of bias was assessed using ROBVIS-II. Data on ethical issues, palliative interventions, and outcomes was extracted and analyzed thematically. Results: 22 studies met the inclusion criteria. Key themes that emerged were: (1) Effective communication and involving patients in decision-making are essential but complex. (2) Nurses face dilemmas around balancing autonomy, beneficence and relational issues. (3) Integrating palliative care principles enhances symptom management and aligns care with patient values. (4) Education and organizational support are needed to equip nurses with skills and coping strategies. Conclusion: Navigating end-of-life care requires addressing interconnected ethical, communication and support needs. While studies provided insights, further research is required on cultural competence training, standardized education programs and longitudinal evaluations.

Background: Person-centered care (PCC) is critical in addressing the diverse health priorities of older adults. Nurses play a pivotal role in implementing PCC, yet the nuances of the nurse-patient relationship in outpatient settings remain underexplored. This study aimed to gain insights into nurses’ experiences, challenges, and strategies in caring for older adults through the lens of PCC. Methods: A qualitative descriptive design was employed, involving semi-structured interviews with 12 registered nurses from outpatient clinics serving older adults. Thematic analysis was conducted following the principles of trustworthiness and credibility. Results: Five main themes emerged: (1)Understanding and Implementing Person-Centered Care (PCC) (2) Experiences in Older Adult Care, highlighting the significance of trust-building, adapting care approaches, interdisciplinary collaboration, and emotional rewards; (3) Challenges in Care Delivery, including resource constraints, navigating family dynamics, keeping up with medical advances, and emotional strain; (4) Impact on Care Quality, encompassing consistency in care, patient satisfaction, professional development, and ethical considerations; and (5) Coping Strategies, such as peer support, work-life balance, reflective practice, and resilience building. Conclusions: The study underscores the complexities and rewards of the nurse-patient relationship in caring for older adults in outpatient settings. Nurses face formidable challenges but employ various coping strategies to maintain high-quality, person-centered care. Findings have implications for nursing practice, education, policy, and future research, emphasizing the need for supportive environments, continuous professional development, and recognition of the critical role nurses play in addressing the health priorities of the aging population.

Background: In recent years, there has been growing interest in the use of Digital Based Nursing Intervention to support diabetes management. This study aimed to evaluate the effect of digital based nursing intervention on knowledge of self-care behaviors and self-efficacy of clients with diabetes. Methods: Employing a quasi-experimental design, a sample of 120 adult participants diagnosed with type 2 diabetes, aged more than 18 years with focus on older adults was drawn from outpatient clinics at Cairo University Hospital. The intervention was approved and registered by the ethical committee of the faculty of nursing with IRB number: RHDIRB2019041701. The intervention group (n = 60) received a digital-based nursing intervention, while the control group (n = 60) received standard care. Data were collected using adopted standardized tools including the Diabetes Knowledge Test, the Diabetes Self-Efficacy Scale, and the Summary of Diabetes Self-Care Activities. Demographic characteristics were analyzed, and pre- and post-intervention scores were compared using paired t-tests were statistical methods. Results: The digital-based nursing intervention resulted in significant enhancements in participants with diabetes knowledge and self-efficacy levels. Moreover, the intervention group demonstrated marked improvements in various self-care behaviors encompassing diet, exercise, medication adherence, blood glucose testing, and foot care. While the control group also exhibited some progress, the effects were less pronounced. Regression analyses highlighted age as a consistent factor associated with knowledge, self-efficacy, and specific self-care behaviors. Conclusion: This study underscores the potential of tailored digital nursing interventions to complement traditional care approaches, empowering patients with type 2 diabetes to actively engage in self-management. The findings suggest that digital-based nursing interventions hold promise for enhancing patient knowledge, confidence, and proactive health behaviors. Nevertheless, limitations, including the relatively short intervention duration and a sample from a single clinic, warrant consideration. Future research should address these limitations to bolster the validity and applicability of the study’s conclusions.

Background: As the healthcare sector grapples with its environmental footprint, the concept of Eco-conscious Nursing emerges as a pivotal framework for integrating sustainability into nursing practice. This study aims to clarify and operationalize Eco-conscious Nursing, examining its attributes, antecedents, consequences, and providing operational definitions to guide future research and practice. Methods: Utilizing a systematic literature review across PubMed, Google Scholar, and CINAHL Ultimate, this study identifies and analyzes existing theories, frameworks, and practices related to eco-conscious nursing. Through conceptual analysis, key attributes, antecedents, and consequences of Eco-conscious Nursing are delineated, leading to the formulation of comprehensive operational definitions. Results: The study reveals Eco-conscious Nursing as a multifaceted concept characterized by environmental stewardship, sustainable healthcare practices, and a commitment to reducing the ecological impact of nursing care. Operational definitions highlight the role of education, awareness, and institutional support as antecedents, with improved environmental health and sustainable healthcare outcomes as key consequences. Conclusion: Eco-conscious Nursing represents a crucial ethos for the nursing profession, emphasizing the necessity of sustainable practices within healthcare. The operational definitions provided serve as a foundation for embedding eco-conscious principles into nursing, addressing the urgent need for sustainability in healthcare settings. Future research should focus on the empirical application of these definitions and explore the economic and cross-cultural dimensions of eco-conscious nursing.

Background: Breast cancer remains a leading cause of morbidity worldwide, necessitating innovative and accessible interventions that address both clinical and psychosocial needs. AI-powered chatbots are increasingly used in health education due to their 24/7 availability, personalization, and interactivity. However, empirical evidence on their effectiveness in enhancing knowledge, empowerment, and attitudes in oncology settings remains limited. Aim: This randomized controlled trial (RCT) evaluated the impact of an AI chatbot intervention on knowledge, empowerment, and attitudes toward AI among breast cancer patients. Methods: A two-arm, pre–post RCT was conducted with 122 women diagnosed with breast cancer at Kafr El-Sheikh University Hospital. Participants were randomly assigned to an intervention group (n = 61) receiving structured AI chatbot-based education plus standard care, or a control group (n = 61) receiving standard care alone. Data were collected using validated questionnaires assessing breast cancer and AI knowledge, attitudes toward AI, and perceived empowerment. G*Power analysis determined sample adequacy for between-group comparisons. Results: Post-intervention, the intervention group showed significantly higher knowledge (20.3 ± 2.1 vs. 17.9 ± 3.4, p <.001) and more positive attitudes (82.4 ± 7.2 vs. 72.6 ± 8.9, p <.001) compared to controls. Logistic regression indicated that knowledge gain and higher education predicted a positive AI attitude. Path analysis revealed both direct and mediated effects of knowledge on attitude via empowerment. Usage data and chatbot session logs supported high engagement. Conclusion: Integrating AI chatbots into oncology nursing care significantly enhances knowledge, empowerment, and AI acceptance. These findings support chatbot integration in patient-centered digital health strategies, particularly in oncology. Clinical trial number: Not applicable. Trial registration: NCT06943911 (retrospectively registered on 24/4/2025).