This study develops a checklist with guidelines for the methods and important factors to consider in research using structural equation modeling (SEM). Method: The paper discusses the factors to consider in the process across the three stages of 1) model setting, 2) model evaluation and modification, and 3) interpretation and reporting of SEM-based studies. Results: The authors present a checklist for researchers during the stages of model setting, model evaluation and modification, result analysis, and reporting, along with examples of figures and tables with explanations. Conclusion: A checklist will help to improve the reporting quality of SEM-based studies.

Nurses' cultural competence can be developed by offering multicultural nursing education, increasing direct/indirect multicultural experience, and sharing problem-solving experience to promote the coping ability of nurses. Organizational support can be achieved by preparing relevant personnel and resources. Subsequently, the quality of nursing care for foreign patients' will be ultimately improved.

No abstract

Simulation and team-based learning are reported as useful strategies in nursing education. However, empirical evidence on the effects of participating in an integrated course of team-based learning and simulation is limited. The aim of this study was to identify the effects of a nursing simulation program with team-based learning on knowledge, team performance, and teamwork among Korean nursing students. A one-group pretest-posttest design was used. Fourth-year students (N = 229) participated in a 32-hour nursing simulation program with team-based learning. Each of the three sessions of the program involved a 3-hour task training with video-assisted learning and skills performance assessment, 1-hour team-based learning, and 4-hour simulation session with a high-fidelity simulator. In addition to the knowledge test and performance assessment, participants completed a self-administered questionnaire on teamwork. Participants achieved higher scores in the Group Readiness Assurance Test than they did in the Individual Readiness Assurance Test. The posttest scores on team performance and teamwork were significantly higher than their pretest scores. The simulation with team-based learning induced favorable effects on participants' knowledge, performance, and teamwork. A curricular integration of simulation program with team-based learning is consistent with achieving outcomes-based learning in nursing education.

ObjectivesThis study was designed to investigate factors affecting the discordance between body image and body mass index amongst Korean adults aged 19–39 years.MethodsData (N = 59,361) from the 2014 Korean Community Health Survey was analyzed using descriptive analysis, chi-square test, and logistic regression analysis.ResultsTo examine the factors affecting body image discordance as observed in 43.1% of participants, the group was subdivided into underestimation and overestimation. There were 36.0% of participants that were body image discordant underestimators and 7.1% were overestimators. Multivariate logistic regression analysis showed that the underestimators tended to be men, graduated from high school, married, current/ex-smokers, ex-drinkers, had between 5 to 9 hours sleep (inclusive), had fair to good self-rated health, and demonstrated healthy weight control behavior, relative to the reference group. In comparison, overestimators tended to be in the 19–29 year group and had signs of depression. The OR of individuals who were men, married, and had healthy weight control behavior was significantly lower in the overestimators group.ConclusionThese findings show that tailored interventions to promote accurate body awareness should be based on the type of body image discordance. In addition, it is necessary to develop and implement a program of body image improvement that considers the factors affecting body weight discordance.

Background Artificial intelligence (AI) technology has recently seen rapid advancement, with an expanding role and scope in nursing education and healthcare. This study identifies the influence of AI ethics awareness, attitude toward AI, anxiety, and self-efficacy on nursing students’ behavioral intentions to use AI-based healthcare technology. Methods The participants included 189 nursing students in Gyeonggi-do, with data collected from November to December 2021 using self-reported questionnaires. We analyzed the data using the SPSS/WIN 26.0 program, including a t-test, Pearson’s correlation coefficient, and hierarchical multiple linear regression. Results The results revealed that AI ethical awareness (t = − 4.32, p < .001), positive attitude toward AI (t = − 2.60, p = .010), and self-efficacy (t = − 2.65, p = .009) scores of the third and fourth-year nursing students were higher, while their anxiety scores were lower (t = 2.30, p = .022) compared to the scores of the first and second-year nursing students. The factors influencing behavioral intention included a positive attitude toward AI (β = 0.58) and self-efficacy (β = 0.22). The adjusted R2 was 0.42. Conclusion It is necessary to inculcate a positive attitude toward AI and self-efficacy by providing educational programs on AI-based technology in healthcare settings.

Standard precautions should be applied to prevent health care-associated infections during every nursing activity. However, adherence to standard precautions was reported to be inadequate. Therefore, this study aimed to identify the rates of standard precaution adherence and the association between perception of patient safety management and standard precaution adherence. In this cross-sectional descriptive study, a convenience sample of nurses was recruited from a university-affiliated teaching hospital in Seoul, Korea. Data were collected using a structured self-report questionnaire. Among the 332 questionnaires returned (response rate: 94.9%), a total of 329 nurses were analyzed. In the present study, the overall standard precaution adherence rate was approximately 53.5%. The multiple linear regression results revealed that participants’ perceptions of patient safety management were only significantly associated with standard precaution adherence after adjusting other covariates (β = 0.412, p < 0.001). Nurse supervisors should focus more on raising awareness about nurses’ perception of patient safety management based on the specific work environment, such as the total number of nurses working together and the nurse-to-patient ratio. Nurse educators should develop integrated curricula to help graduate nurses transition smoothly into professional practice and enhance adherence to standard precautions in diverse health care settings.

No abstract