This study targeted medical workers, who are currently being subjected to an excessive workload and emotional stress during the COVID-19 outbreak. Various treatment programs, such as a relaxation program to relieve stress, a walk in the forest, and woodworking were provided to the participants as forest healing therapies. We enrolled 13 medical workers (11 females, 2 males). Before and after forest healing therapy, stress and sleep-related questionnaires and levels of salivary cortisol, dehydroepiandrosterone sulfate (DHEA-S), and melatonin were measured and compared. The improvement of the perceived stress scale and the decrease of DHEA-S, a stress index, showed statistically significant results. However, although this study was conducted with a small number of participants and has a limitation in that the therapy occurred over a short period of only 1 night and 2 days, the trend of supporting results remains positive. As such, the authors propose forest healing therapy as one intervention to relieve the job stress for this group of workers

Purpose: This systematic literature review and meta-analysis explored extended reality (XR)-based pediatric nursing simulation programs and analyzed their effectiveness.Methods: A literature search was conducted between May 1 and 30, 2022 in the following electronic databases: MEDLINE, Embase, Cochrane Central Register of Controlled Trials (CENTRAL), and CINAHL. The search period was from 2000 to 2022. In total, 6,095 articles were reviewed according to the inclusion and exclusion criteria, and 14 articles were selected for the final content analysis and 10 for the meta-analysis. Data analysis was performed using descriptive statistics and the Comprehensive Meta- Analysis program.Results: XR-based pediatric nursing simulation programs have increased since 2019. Studies using virtual reality with manikins or high-fidelity simulators were the most common, with six studies. The total effect size was statistically significant at 0.84 (95% confidence interval=0.50-1.19, z=4.82, p<.001).Conclusion: Based on the findings, we suggest developing standardized guidelines for the operation of virtual pediatric nursing simulation education and practice. Simultaneously, the application of more sophisticated research designs for effect measurement and the combined applications of various virtual simulation methods are needed to validate the most effective simulation methodology.

Coronavirus disease 2019 (COVID-19), which has swept the world since December 2019, has caused suffering and death to millions of people worldwide over the past 2 years and has changed our lives. In 2021, the mandatory use of indoor and outdoor masks was lifted in the United States and Europe, and in 2022, the mandatory use of outdoor masks was wholly lifted in Korea as part of the transition to a post-COVID-19 environment. Although the World Health Organization has not officially declared the end of the COVID-19 pandemic, countries worldwide are now preparing for the future by proposing new healthcare policies in the post-COVID-19 era. Pediatric nurses are at the forefront of the COVID-19 pandemic, performing physical and mental patient care, maintenance of public health systems, education, and research to improve the health of children and their families. Pediatric nursing services have always sought a new paradigm in line with social changes, and the following pediatric nursing strategies are needed to prepare for the post-COVID-19 era.

Objective The coronavirus disease-2019 (COVID-19) pandemic radically shifted occupational patterns, leading to increased telecommuting and related stressors. Healthcare providers, among the most impacted group, faced heightened risks and workplace changes. Our study examined the efficacy of forest therapy in alleviating work-induced stress across various professions, exploring the need for profession-specific stress-relief strategies in the post-pandemic workplace.Methods To examine the impact of COVID-19 on professionals, 62 participants were recruited, consisting of 20 healthcare providers, 21 information technology (IT) specialists, and 21 teachers. Instruments such as Pittsburgh Sleep Quality Index and Hospital Anxiety and Depression Scale, along with salivary tests for cortisol and melatonin, were used to assess the participants’ sleep and stress levels. A specialized forest healing program was implemented among these participants. Data analysis was conducted using SPSS Win Ver. 22.0, utilizing paired t-tests and a repeated measures analysis of variance.Results Significant improvements were observed in the participants’ sleep metrics, depression scales, and stress levels after the forest healing program. Physiological measures indicated an increase in melatonin and a decline in cortisol and dehydroepiandrosterone sulfate levels, with only cortisol changes being statistically significant. Teachers, participating during school vacations, exhibited minimal stress-related physiological changes. Overall, the program demonstrated widespread health benefits regardless of occupation or gender.Conclusion This study showed that forest therapy reduced stress equally across professions, including healthcare providers, IT specialists, and teachers. Individual physiological responses may play a greater role in stress relief than the specific occupation.

Purpose: The aim of this study was to identify factors influencing the learning transfer of nursing students in a non-face-to-face educational environment through structural equation modeling and suggest ways to improve the transfer of learning.Methods: In this cross-sectional study, data were collected via online surveys from February 9 to March 1, 2022, from 218 nursing students in Korea. Learning transfer, learning immersion, learning satisfaction, learning efficacy, self-directed learning ability and information technology utilization ability were analyzed using IBM SPSS for Windows ver. 22.0 and AMOS ver. 22.0.Results: The assessment of structural equation modeling showed adequate model fit, with normed χ2=1.74 (P<0.024), goodness-of-fit index=0.97, adjusted goodness-of-fit index=0.93, comparative fit index=0.98, root mean square residual=0.02, Tucker-Lewis index=0.97, normed fit index=0.96, and root mean square error of approximation=0.06. In a hypothetical model analysis, 9 out of 11 pathways of the hypothetical structural model for learning transfer in nursing students were statistically significant. Learning self-efficacy and learning immersion of nursing students directly affected learning transfer, and subjective information technology utilization ability, self-directed learning ability, and learning satisfaction were variables with indirect effects. The explanatory power of immersion, satisfaction, and self-efficacy for learning transfer was 44.4%.Conclusion: The assessment of structural equation modeling indicated an acceptable fit. It is necessary to improve the transfer of learning through the development of a self-directed program for learning ability improvement, including the use of information technology in nursing students’ learning environment in non-face-to-face conditions.

Objective This study evaluated the effectiveness of a virtual reality (VR) based stress reduction program tailored for healthcare and information technology (IT) professionals during the coronavirus disease-2019 pandemic.Methods The 2-week program, based on forest healing principles, was designed to alleviate occupational stress and improve sleep quality. Participants (n=54; 46 healthcare, 8 IT professionals) underwent pre- and post-intervention assessments using validated psychological scales and physiological measurements.Results Results showed significant reductions in stress (Perceived Stress Scale [PSS], p=0.001) and anxiety (Hospital Anxiety and Depression Scale [HADS] anxiety, p=0.002) across all participants. Healthcare professionals demonstrated significant decreases in depression (Patient Health Questionnaire-9, p=0.015), anxiety (HADS anxiety, p<0.001), and stress (PSS, p=0.001). Unexpectedly, weekday sleep quality (Pittsburgh Sleep Quality Index) worsened in the healthcare group (p=0.013). The IT group showed no significant changes, possibly due to the small sample size. Physiological measurements revealed significant differences between groups post-intervention, including melatonin levels (p=0.001) and electrocardiogram values (p=0.031), suggesting occupation-specific responses to VR interventions.Conclusion Despite limitations such as unequal sample sizes, this study provides valuable insights into the potential of VR-based stress management programs. The findings underscore the need for occupation-specific approaches and further research with larger, balanced samples to validate these results and explore long-term effects.