Background: This study aimed to secure and analyze evidence regarding the enhancement of nursing students’ empathy through simulation-based interventions. It comprehensively analyzed self-reported emotions and reactions as primary outcomes, along with the results reported by nursing students who experienced simulation-based interventions, including empathy. Methods: This systematic literature review and meta-analysis investigated the effects of simulation-based interventions on enhancing empathy among nursing students. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines were used for the systematic review and meta-analysis. The following details were considered: population, nursing students; intervention, simulation-based interventions targeting empathy enhancement; comparators, control groups without intervention or those undergoing general non-simulation-based classes; and outcomes, self-reported empathy. Results: In the systematic review of 28 studies, it was found that the use of simulation-based interventions among nursing students led to an increase in empathy, albeit with a small effect size. This was demonstrated through a pooled, random-effects meta-analysis, yielding an effect size (Hedge’s g) of 0.35 (95% CI: 0.14, 0.57, p = 0.001). The results of meta-regression and subgroup analysis significantly increased in empathy for studies published after 2019 (Hedge’s g = 0.52, 95% CI: 0.31 to 0.73, p < 0.001), quasi-experimental research design (Hedge’s g = 0.51, 95% CI: 0.27 to 0.74, p < 0.001), more than 60 participants (Hedge’s g = 0.31, 95% CI: 0.02 to 0.59, p = 0.034), and simulation-based interventions in nursing education (Hedge’s g = 0.43, 95% CI: 0.22 to 0.65, p < 0.001). Conclusions: Considering factors such as variations in sample size, research approaches, and the effects of independent studies on empathy, this systematic literature review and meta-analysis suggests that simulation-based education can significantly improve nursing students’ overall empathy skills.

Aim: Studies on the effectiveness of virtual reality (VR) in nursing education have explored its impact on learning outcomes, emotional immersion and engagement, learner self-confidence, and satisfaction, generally showing positive aspects. However, there is a need for a systematic review to examine the specific influence of VR-based education on nursing students’ practical competency.Method: According to the PRISMA 2020 guidelines, 22 studies were selected based on inclusion criteria from 579 articles, published from January 1, 2018, to March 31, 2024, across nine major databases including PubMed and EMbase. The target population comprised nursing students, and the intervention focused on VR-based simulations aimed at enhancing competency, compared to control groups receiving either no intervention or conventional non-virtual simulation. The primary outcome, nursing competency, was analyzed using MIX 2.0 Pro (Ver. 2.0.1.6, BiostatXL, 2017) to calculate pooled effect sizes.Result: The pooled effect size for nursing competency was determined to be large, with Hedge’s g = 0.88 (95% CI, 0.47 to 1.29). Meta-regression analysis identified several factors associated with an increase in nursing competency. These included studies published after 2022, approval of an IRB, absence of funding, randomized controlled trials (RCTs), interventions reported as shorter than 4 weeks or not reported, sessions fewer than 4 or not reported, session duration under 1 h or not reported, and observational measurement methods. Additional factors enhancing nursing competency were the inclusion of a pre-briefing before simulations, the absence of a debriefing afterward, and the exclusion of other activities during the simulation.Conclusion: By combining the results of the included studies, the systematic review and meta-analysis accounted for variations in sample size, study methodology, and independent intervention effects, providing an overall evaluation of the effectiveness of simulation-based education in improving nursing students’ competency.Limitation: The selection criteria for the studies analyzed, which included only those published in English or Korean and reported precise means, standard deviations, and sample sizes, could lead to selection bias and limit the generalization of our study results.Systematic review registration: PROSPERO International Prospective Register of Systematic Reviews: http://www.crd.york.ac.uk/PROSPERO/, identifier CRD42023446348.

As the diabetic population increases, self-management of diabetes, a chronic disease, is important. Given that self-management nursing interventions using various techniques have been developed, an analysis of their importance is crucial. This study aimed to identify the overall effects of self-management nursing interventions on primary (HbA1c) and secondary (self-care, self-efficacy, fasting blood sugar level blood pressure, lipid, body mass index, waist circumference, distress, anxiety, depression, and quality of life) outcomes in diabetes. Systematic review and meta-analysis were used. The meta-analysis involved the synthesis of effect size; tests of homogeneity and heterogeneity; trim and fill plot; Egger’s regression test; and Begg’s test for assessing publication bias. The overall effect on HbA1c was −0.55, suggesting a moderate effect size, with HbA1c decreasing significantly after nursing interventions. Among the nursing interventions, the overall effect on HbA1c of nurse management programs, home visiting, and customized programs was −0.25, −0.61, and −0.65, respectively, a small or medium effect size, and was statistically significant. Healthcare professionals may encourage people with diabetes to engage in self-management of their glucose levels, such as patient-centered customized intervention. Interventions that reflect the individual’s characteristics and circumstances are effective in enabling self-management.

This study examines current household disaster preparedness and identifies its predictors in South Korea. A structured online survey was administered to 1,243 participants quota-sampled by age and population from each administrative district. Based on the socio-ecological model, interpersonal factors (general characteristics, prior disaster experience, anxiety, dispositional optimism, perceived disaster risk, and disaster preparedness knowledge), institutional factor (front-line preparedness), community factor (community resilience), public policy factor (governmental preparedness), and household disaster preparedness were measured. The data were analyzed using descriptive statistics, Mann–Whitney U test, Kruskal–Wallis test, Bonferroni test, Pearson’s correlation coefficients, and multiple regression. The predictors of household disaster preparedness were occupation, economic status, prior disaster experience, anxiety, disaster preparedness knowledge, front-line preparedness, and community resilience. The most potent predictor of household disaster preparedness was community resilience. Our finding that community resilience, a community factor, has a greater impact on household disaster preparedness than personal factors calls for programs that promote such resilience. Further, continuous public education and campaigns are needed to increase public awareness of household disaster preparedness and to improve the public’s competency to prepare for potential disasters. This study raises the need for community programs for residents to increase household disaster preparedness knowledge and improve their competencies related to disaster response. This study is significant in highlighting the importance of community factors in improving household disaster preparedness amid the need to prepare for various types of disasters.

This study investigated the association between the quality of life (QOL) and type 1 diabetes mellitus (DM), a lifelong disease that requires constant management. A complex set of factors influence the QOL of people with type 1 DM, and understanding these factors requires further research. This research is a cross-sectional descriptive study. A survey on related variables such as acceptance of disease and efficacy for self-management of diabetes, was conducted among 111 participants with type 1 DM. The collected data were analyzed using PASW Statistics program, and factors influencing participants’ QOL were identified through hierarchical multiple regression. The study followed the Guidelines of Systematic Reporting of Examination in the STROBE checklist. The results showed that four variables exerted a significant effect on QOL (blood glucose level at hypoglycemia and complications in Model 1; efficacy for self-management of diabetes and acceptance and action in Model 2), and all the variables explained a majority of the variance in QOL. The results indicate that management of severe hypoglycemia and prevention of complications is crucial. Interventions should be developed to enhance coping abilities to improve efficacy for self-management for those with diabetes and promote their acceptance of the disease.