FACULTY OF NURSING SCIENCE, COLLEGE OF MEDICINE,

Prognosis disclosure is a critical component of patient-centered care that can influence patients’ trust in healthcare providers. Understanding how patients perceive prognosis disclosure and its impact on trust is vital for improving communication and healthcare outcomes. This study examined the influence of prognosis disclosure on patients’ trust in healthcare providers at the University of Benin Teaching Hospital (UBTH), Edo State, Nigeria. A descriptive cross-sectional survey design was employed. Using a convenience sampling technique, 101 patients were selected, and 99 valid responses were obtained, yielding a 98% response rate. Data were analysed using the Statistical Package for the Social Sciences (SPSS) version 26.0. Descriptive statistics, including frequencies, percentages, means, and grand means, were used to summarize socio-demographic characteristics, patient perceptions of prognosis disclosure, and trust in healthcare providers. Most participants were young adults (78.8% aged 18–25), female (75.8%), single (86.9%), and educated (84.8% with tertiary education). Findings showed that prognosis disclosure had a positive effect on patient trust, with 71% of respondents reporting high trust following disclosure. Key factors influencing trust included transparent communication, patient involvement in treatment planning, and emotional support. Although cultural and religious factors were largely non-influential, patients preferred gradual, staged disclosure sensitive to emotional readiness. The relationship between prognosis disclosure and trust was significant, with patients recognizing that clear, empathetic communication strengthens relationships. Prognosis disclosure, when delivered transparently and empathetically, enhances trust in healthcare providers. Emotional support and gradual communication are essential in maintaining positive relationships. Healthcare providers should receive training on sensitive prognosis disclosure, and structured, patient-centered protocols emphasizing empathy and emotional support should be implemented.

AI in healthcare has gained significant momentum in recent years, revolutionizing the delivery of medical services and transforming patient care processes across various specialties. Nursing, as a fundamental pillar of healthcare, is increasingly experiencing the impact of AI technologies, which range from decision support systems, robotics, predictive analytics, to personalized patient care applications. However, the successful adoption and optimal utilization of AI in nursing practice depend largely on nurses' knowledge, perceptions, and the roles they assume in its implementation. The aim of this study is to provide insights into the current knowledge and perceptions of nurses regarding AI, identifying potential gaps that could hinder effective practice. Understanding these gaps will help healthcare administrators and policy-makers design targeted interventions. This study employs a descriptive cross-sectional research design to investigate knowledge and perception of AI among nurses at the University of Benin Teaching Hospital (UBTH). A total of 257 participants were chosen using a stratified random sampling technique. A well self-structured questionnaire was used to access the knowledge, perception and roles of nurses as regards the use of AI among nurses in UBTH. The result shows, 74.3% of the respondents exhibiting correct knowledge of AI in comparison with the McDonald’s scale indicates a moderate level of knowledge regarding AI. Also with a total mean score of 2.8, the study reveals that the respondents have a good perception of AI. Of the 257 respondents, 196 (76.3%) of the respondents strongly agreed that nurses should be involved in the planning and implementation of AI systems, 15(5.8%) disagreed, 31(12.1%) agreed while 15(5.8%) strongly disagreed. The mean response of the respondents is 2.53 which is greater than the average of 2.50 for a 4-point Likert scale, hence indicating the respondents generally agree that Nurses should be involved in the planning and implementation of AI systems. This study thus concluded that there is a fair knowledge, the respondents have good perception of AI and involving in the planning and implementation of AI systems are some of the roles of nurses in the use of AI