The integration of Generative artificial intelligence (GAI) into healthcare is rapidly evolving, necessitating ethical preparedness among nursing students. GAI technologies present ethical challenges related to patient privacy, algorithmic bias, and informed consent, underscoring the need for structured AI ethics education in nursing curricula. This study aims to examine the impact of an ethics education program on nursing students’ AI ethical awareness, moral sensitivity, attitudes, and intentions to use GAI in healthcare. A quasi experimental, pretest‒posttest study was conducted with 115 nursing students. The participants were randomly assigned to an intervention group (n = 57), which received a structured AI ethics education program, or a control group (n = 58), which did not receive the intervention. The validated scales measured AI ethical awareness, moral sensitivity, attitudes, and the intention to use AI before and after the intervention. Compared with the control group, the intervention group demonstrated a significant increase in AI ethical awareness (M = 57.28, SD = 22.28) (M = 47.43, SD = 24.04; p = .025, η² = 0.044). Moral sensitivity also showed a notable improvement in the intervention group (M = 74.33, SD = 29.93) compared with the control group (M = 60.26, SD = 22.52; p = .005, η² = 0.067). Compared with the control group, positive attitudes toward AI significantly increased postintervention (M = 39.46, SD = 11.51) (M = 23.21, SD = 11.72; p < .001, η² = 0.332), indicating a strong effect of ethics education. Furthermore, the intention to use AI technology improved significantly in the intervention group (M = 12.46, SD = 3.55) compared with the control group (M = 10.24, SD = 3.15; p = .001, η² = 0.099). However, negative attitudes toward GAI did not significantly change postintervention. This study highlights the effectiveness of structured AI ethics education in enhancing ethical competencies among nursing students. Integrating such programs into nursing curricula is essential to prepare future nurses for ethical decision-making in AI-driven healthcare. These findings support the development of standardized ethics training modules to guide responsible AI use in clinical practice and inform future curriculum design. Not applicable.

Predictors of Participation in Prostate Cancer Screening among Older Men in Jordan Prostate cancer;screening;predictors;health beliefs;health belief model; Background: Participation is one of the major factors affecting the long-term success of population-based prostate cancer screening programs. The aim of this study was to explore strong factors linked to participation in prostate cancer screening among older Jordanian adults using the Health Belief Model (HBM). Materials and Methods: Data were obtained from Jordanian older adults, aged 40 years and over, who visited a comprehensive health care center within the Ministry of Health. A pilot test was conducted to investigate the internal consistency of the the Champion Health Belief Model Scale for prostate cancer screening and the clarity of survey questions. Sample characteristics and rates of participation in prostate cancer screening were examined using means and frequencies. Important factors associated with participation in prostate cancer screening were examined using bivariate correlation and multivariate logistic regression analysis. Results: About 13% of the respondents had adhered to prostate cancer screening guidelines over the previous decade. Four out of the seven HBM-driven factors (perceived susceptibility, benefits and barriers to PSA test, and health motivation) were statistically significant. Those with greater levels of susceptibility, benefits of PSA test and health motivation and lower levels of barriers to PSA testing were more likely to participate in prostate cancer screening. Family history, presence of urinary symptoms, age, and knowledge about prostate cancer significantly predicted the participation in prostate cancer screening. Conclusions: Health professionals should focus more on the four modifiable HBMrelated factors to encourage older adults to participate in prostate cancer screening. Intervention programs, which lower perceived barriers to PSA testing and increase susceptibility, benefits of PSA testing and health motivation, should be developed and implemented.

Background: The integration of artificial intelligence (AI) into mental health care is reshaping psychological support systems, particularly for digitally literate populations such as nursing students. Given the high prevalence of anxiety and depression in this group, understanding their perceptions of AI-driven mental health support is critical for effective implementation. Objectives: to evaluate nursing students’ perceptions toward AI-driven mental health support and examine its relationship with anxiety, depression, and their attitudes to seeking professional psychological help. Methods: A cross-sectional survey was conducted among 176 undergraduate nursing students in northern Jordan. Results: Students reported moderately positive perceptions toward AI-driven mental health support (mean score: 36.70 ± 4.80). Multiple linear regression revealed that prior use of AI tools (β = 0.44, p < 0.0001), positive help-seeking attitudes (β = 0.41, p < 0.0001), and higher levels of psychological distress encompassing both anxiety (β = 0.29, p = 0.005) and depression (β = 0.24, p = 0.007) significantly predicted more positive perceptions. Daily AI usage was not a significant predictor (β = 0.15, p = 0.174). Logistic regression analysis further indicated that psychological distress, reflected by elevated anxiety (OR = 1.42, p = 0.002) and depression scores (OR = 1.32, p = 0.003), along with stronger help-seeking attitudes (OR = 1.35, p = 0.011), significantly increased the likelihood of using AI-based mental health support. Conclusions: AI-driven mental health tools hold promises as adjuncts to traditional counseling, particularly for nursing students experiencing psychological distress. Despite growing acceptance, concerns regarding data privacy, bias, and lack of human empathy remain. Ethical integration and blended care models are essential for effective mental health support.

Background: Globally, colorectal cancer (CRC) is the second and third most commonly diagnosed cancer in women and men, respectively. Objectives: The aim of this study is to test the effectiveness of a health education intervention on the current level of Jordanians’ CRC knowledge, health perceptions, and screening practices. Methods: A convenience sampling method was used to recruit a sample of 197 average-risk Jordanian adults aged 50 to 75 years. The sample was collected from outpatient departments of Jordan University and Al-Basheer Hospitals in Amman. This study used quasi-experimental design, and a rolling enrollment method was implemented to randomly assign the participants into intervention and control groups. Results: Baseline results indicated that Jordanian average-risk participants were not well informed about CRC and screening recommendations. One-fourth perceived themselves to be susceptible to CRC. About one-third comprehended the seriousness of CRC, most recognized the benefits of CRC screening, and fewer than half believed there were barriers preventing them from participating in CRC screening. Four weeks after intervention implementation, there was a significantly higher level of knowledge, as well as increased susceptibility and severity perceptions, screening via fecal occult blood test, and intentions to undergo screening via colonoscopy or sigmoidoscopy. Conclusion: The findings support the implementation of a health education intervention as an effective way to enhance levels of knowledge and promote positive health perceptions regarding CRC and screening recommendations. Implications for Practice: This study may provide Jordanian and other nurses with a theory-based educational intervention to improve the quality of nursing care and reduce costs.