Background: The Clinical Reasoning Cycle, first developed more than 15 years ago, has been internationally used as an educational model in nursing programs. Given the changing nature of healthcare and higher education, it is timely to review whether the Cycle remains clinically current and pedagogically sound.
Objective: The objective of this study was to review and revise the Clinical Reasoning Cycle to ensure its contemporary relevance to nursing education using a consensus driven approach.
Design: A Nominal Group Technique was used to elicit opinions of registered nurses who had subject matter expertise related to clinical reasoning and experience teaching the Clinical Reasoning Cycle to nursing students.
Setting and participants: This study was conducted online using Zoom. Participants (n = 12) were from seven universities, six Australian and one Singaporean. They held a range of academic/education roles.
Results: Three key themes emerged from the analysis and informed the changes to the Clinical Reasoning Cycle Version 2. They included: 1) The world that graduates are entering; 2) The power of language; and 3) Who we position as the expert. Consensus was reached with greater than 90% agreement achieved for each of the changes made to Clinical Reasoning Cycle Version 2.
Conclusions: This study highlights the utility of the Clinical Reasoning Cycle as a pedagogical model and attests to its potential for improving the quality of patient care. Revisions to the Cycle were made using a consensus-based approach designed to strengthen its contemporary relevance. The Clinical Reasoning Cycle Version 2 encourages a person-centred approach to nursing care, incorporates inclusive language and includes the person, their family and other members of the healthcare team in the decision-making process.
Background: Time poverty refers to the condition where individuals struggle to secure sufficient free time due to overwhelming responsibilities. This phenomenon has significant physical and mental health implications. Clinical nursing interns are particularly susceptible to time poverty due to demanding schedules, long shifts, and irregular hours during clinical placements. Despite its relevance, limited research explores the subjective experiences of clinical nursing interns regarding time poverty and its implications for their professional development and well-being.
Aims: This study aimed to understand the experiences and coping strategies of clinical nursing interns facing time poverty, identify factors that exacerbate time poverty, and provide suggestions to mitigate its negative impact on these interns.
Methods: Interpretive phenomenological analysis (IPA) was used to capture the lived experiences of 12 clinical nursing interns. Participants were selected through purposive and snowball sampling, ensuring diverse experiences from different clinical environments. Semi-structured, in-depth interviews were conducted, focused on: perceptions and experiences of time poverty, emotional and career impacts of insufficient free time, and coping strategies among interns. All interviews were audio-recorded, transcribed verbatim, and subjected to a thematic analysis to identify recurring patterns and themes.
Results: Four primary themes emerged from the data analysis: "Life on the Treadmill"; "The Emotion of Being Chased"; "Professional Shake"; and "Adaptation and Coping Strategies".
Conclusion: The findings highlight that time poverty significantly affects clinical nursing interns' emotional well-being, professional growth, and motivation. Addressing this issue requires institutional reforms and supportive measures, including: formal training in effective time management; structured mentorship programs to guide interns through challenging schedules; enhanced emotional support systems to foster resilience. Such interventions are critical to promoting the health, academic success, and professional identity of clinical nursing interns, ultimately strengthening the future nursing workforce and overall healthcare delivery.
Background: AI tools are increasingly visible in nursing education and practice, yet student exposure and acceptance vary across settings. Limited digital literacy and technology anxiety may contribute to impostor syndrome (IS) in academic and clinical environments.
Objective: To assess and compare attitudes toward AI and the prevalence of IS among nursing students in five countries (Iraq, Egypt, Saudi Arabia, Jordan, and the UAE) and to examine their association.
Methods: Cross-sectional, descriptive-correlational survey of 1772 undergraduate nursing students from Iraq, Egypt, Saudi Arabia, Jordan, and the UAE (convenience sampling). Instruments were the General Attitudes toward AI Scale (20 items, Positive/Negative subscales) and the Clance Impostor Phenomenon Scale (CIPS; 20 items), plus demographics and technology-related variables (AI information sources, application type, prior training, and AI confidence). Group differences used t-tests/ANOVA with post-hoc tests; associations used Pearson correlations and multivariable linear regression with country fixed effects and robust SEs.
Results: Attitudes toward AI and IS differed by country, academic level, work status, information source, application used, and AI confidence (all p < .001). Iraqi students reported the most favorable AI attitudes; Egyptian and Iraqi students showed higher CIPS scores in bivariate analyses. First-year and younger students had higher IS. AI attitudes correlated negatively with IS (r = -0.206, p < .001). In regression, greater AI confidence and academic level predicted higher AI attitudes, whereas higher AI attitudes, upper academic levels, and AI training predicted lower IS.
Conclusions: More favorable attitudes toward AI were associated with lower impostor feelings. Context-appropriate AI education (paired with ethics/academic-integrity guidance) and targeted psychological support may foster technological readiness and mitigate impostor experiences.
Implications: Integrate structured AI literacy (where permitted), ensure equitable digital access, and provide mentorship and mental-health support-especially for early-year students.
Aim: The aim of this study was to examine the general and professional values of two cohorts of undergraduate nursing students over a ten-year period to identify emerging trends or changes.
Background: Nursing students and early-career nurses face complex ethical situations that require alignment of personal values with professional ethics to ensure safe and compassionate care. Although values in nursing have traditionally been viewed as stable, research shows they evolve over time and are influenced by education, cultural context, and professional experience.
Design: Cross-sectional survey design was used in this study.
Methods: The study was conducted between October 2020 and January 2021 across nine higher education institutions offering nursing programs in Lithuania. A total of 370 third- and fourth-year nursing students participated. The questionnaire included 37 general and 20 professional values.
Results: Study II respondents showed stronger general values than those in Study I, while Study I participants demonstrated stronger professional values. No significant differences were found between the studies based on age, sex, or year of study. Both general and professional Honesty values were stronger in Study II, whereas Religiousness, Self-control, and Authority were stronger professional values in Study I. Study II respondents also scored higher on general values such as Intellectualism, Independence, and Altruism, indicating a shift toward a more scientific and less religiously influenced approach, with a growing interest in the science of nursing.
Conclusion: This study revealed notable shifts in nursing students' values over a ten-year period, with Religiousness, Self-control, and Authority giving way to Intellectualism, Independence, and Altruism - highlighting an increased emphasis on scientific thinking and caring for others.
Aims: (i) To summarize the application scenarios and teaching models of AI and VR in healthcare education. (ii) To compare teaching outcomes between AI, VR, and traditional methods. (iii) To identify the relative advantages of AI and VR in different outcomes.
Design: A network meta-analysis.
Data sources: We systematically searched ten databases, including PubMed, Embase, Web of Science, Cochrane Library, IEEE Xplore, CINAHL, Association for Computing Machinery, China National Knowledge Infrastructure, WanFang, and China Computer Federation, to identify randomized controlled trials and quasi-experimental studies.
Methods: Educational effects of various teaching methods were compared through network meta-analysis by estimating standardized mean differences (SMD) with 95% confidence intervals (CIs). Study quality was evaluated using the Joanna Briggs Institute Critical Appraisal Tool.
Results: This study included 54 studies. The network meta-analysis results showed that in nursing education, VR, compared to traditional teaching, improved students' satisfaction (SMD = 0.93, 95% CI: 0.07 to 1.80), knowledge (SMD = 0.60, 95% CI: 0.30 to 0.90), and practical skills (SMD = 1.06, 95% CI: 0.57 to 1.55), while AI only enhanced knowledge (SMD = 1.11, 95% CI: 0.60 to 1.62). There was no significant difference in the indirect comparison between AI and VR. In clinical medicine, both VR and AI improved knowledge (VR: SMD = 0.75, 95% CI: 0.32 to 1.19; AI: SMD = 0.81, 95% CI: 0.10 to 1.51) and practical skills (VR: SMD = 1.14, 95% CI: 0.65 to 1.63; AI: SMD = 0.91, 95% CI: 0.16 to 1.66) compared to traditional teaching, but no significant difference was found in the indirect comparison between AI and VR.
Conclusions: Future research should focus on direct comparisons between AI and VR, assess their long-term educational effects, and design integrated teaching models that harness the strengths of both technologies to inform evidence-based improvements in instructional practice.
Registration: (PROSPERO): CRD42024605827.

