This study had two aims: (a) to develop a smartphone-based application and (b) to evaluate the effectiveness of the application by measuring nursing students' knowledge, skills, and confidence in simulated performance when providing that care. We conducted a randomized trial using a pre- and post-test design at a university in Korea. Seventy-three junior nursing students participated. A smartphone-based app using a video was developed for the experimental group and one time lecture-based education was designed for the control group. We provided the app and information about its use to the experimental group, and we encouraged its use. We provided classroom instruction to the control group. Then, learning outcomes were evaluated. The smartphone-based education group showed significantly higher scores on skills (t=4.774, p<0.001) and confidence in performance (t=2.888, p=0.005) than the control group. The scores on knowledge (t=0.886, p=0.379) and satisfaction with the learning method (t=0.168, p=0.867) for the experimental group were higher than for the control group, but the differences were not statistically significant. This study suggests that smartphone-based education may be an effective method to use in nursing education related to teaching infant airway obstruction.

The integration of artificial intelligence such as ChatGPT into educational frameworks marks a pivotal transformation in teaching. This quasi-experimental study, conducted in September 2023, aimed to evaluate the effects of artificial intelligence–assisted learning on nursing students' ethical decision-making and clinical reasoning. A total of 99 nursing students enrolled in a pediatric nursing course were randomly divided into two groups: an experimental group that utilized ChatGPT and a control group that used traditional textbooks. The Mann-Whitney U test was employed to assess differences between the groups in two primary outcomes: (a) ethical standards, focusing on the understanding and applying ethical principles, and (b) nursing processes, emphasizing critical thinking skills and integrating evidence-based knowledge. The control group outperformed the experimental group in ethical standards and demonstrated better clinical reasoning in nursing processes. Reflective essays revealed that the experimental group reported lower reliability but higher time efficiency. Despite artificial intelligence's ability to offer diverse perspectives, the findings highlight that educators must supplement artificial intelligence technology with strategies that enhance critical thinking, careful data selection, and source verification. This study suggests a hybrid educational approach combining artificial intelligence with traditional learning methods to bolster nursing students' decision-making processes and clinical reasoning skills.

PURPOSE: To identify symptom clusters among adult survivors of childhood cancers and test associations with health-related quality of life (HRQOL) and physical and neurocognitive performance. METHODS: This cross-sectional study included 3,085 survivors (mean age at evaluation 31.9 ± 8.3 years; mean years from diagnosis 28.1 ± 9.1) participating in the St Jude Lifetime Cohort Study. Survivors self-reported the presence of 37 symptoms capturing 10 domains (cardiac, pulmonary, sensory, motor/movement, nausea, pain, fatigue, memory, anxiety, and depression). The Short Form-36's Physical/Mental Component Summaries assessed HRQOL; the Physical Performance Test evaluated physical performance; and neurocognitive batteries tested attention, processing/psychomotor speed, memory, and executive function. Latent class analysis identified subgroups of survivors experiencing different patterns of symptom burden (ie, symptom clusters). Multivariable regression models identified risk of cluster membership and tested associations with health outcomes. RESULTS: Four symptom clusters were identified including cluster 1 (prevalence 52.4%; low physical, somatization, and psychologic domains), cluster 2 (16.1%; low physical, moderate somatic, and high psychologic domains), cluster 3 (17.6%; high physical, moderate somatic, and low psychologic domains), and cluster 4 (13.9%; high in all three domains). Compared with cluster 1, survivors in cluster 4 were more likely to have less than high school education (odds ratio [OR], 7.71; 95% CI, 4.46 to 13.31), no insurance (OR, 1.49; 95% CI, 1.04 to 2.13), and exposure to corticosteroids (OR, 1.76; 95% CI, 1.02 to 3.03); survivors in cluster 3 were more likely to have received platinum agents (OR, 2.22; 95% CI, 1.34 to 3.68) and brain radiation ≥ 30 Gy (OR, 3.99; 95% CI, 2.33 to 6.86). Survivors in cluster 4 reported the poorest Physical Component Summary/Mental Component Summary scores (31.0/26.7) and physical and neurocognitive performance versus survivors in the other clusters ( P < .001). CONCLUSION: Nearly 50% of survivors had moderate to high multisymptom burden, which was associated with sociodemographic, treatment factors, HRQOL, and functional outcomes.

The purpose of this secondary analysis study was to compare social networks, health-promoting behaviors, and health-related quality of life of South Korean adults, aged 65 years or older, with and without arthritis, and to identify factors that are related to health-related quality of life. The sample consisted of 103 adults with arthritis and 123 adults without arthritis. Data were analyzed using a two-way analysis of variance, χ²-test, Pearson’s correlation, and multiple regression analysis. All variables except age and religion showed statistically significant differences between older adults with and without arthritis. The group with arthritis reported lower scores on social networks, health-promoting behaviors, and health-related quality of life compared to the healthy group without arthritis. Analyzed using multiple regression, 43.8% of the older adults with arthritis had the factors related to health-related quality of life (F = 40.71, p < .001) including exercise (β = .43, p < .001) and living with someone (β = .32, p = .001). In the group of older adults without arthritis, 26.2% had the factors related to health-related quality of life (F = 15.44, p < .001) including exercise (β = .31, p = .001), social gatherings, and employment status. Exercise was one of the factors that showed the strongest relationship to health-related quality of life. The provision of resources that can enable an individual to engage in physical activities is warranted.