(1) Background: The purpose of this study was to validate a Korean version of the disaster preparedness evaluation tool (DPET-K) for nurses and to verify its validity and reliability for use in community healthcare centers and hospitals in South Korea; (2) Methods: In total, 497 nurses (248 for exploratory factor analysis and 249 for confirmatory factor analysis) at public health centers, public health sub-centers, public health clinics, and general hospitals in Seoul and Gyeonggi, Chungcheong, and Gangwon Provinces participated in this study. The tool went through translation and back-translation, content validity verification, a pilot survey, and validity and reliability testing; (3) Results: The DPET-K had 28 items with five factors (disaster education and training, disaster knowledge and information, bioterrorism and emergency response, disaster response, and disaster evaluation). The Cronbach’s α values for internal consistency were 0.766–0.953 for the five subscales of the DPET-K. A structural equation model was built through confirmatory factor analysis for goodness of fit (χ²/df = 2.193, SRMR = 0.060, RMSEA = 0.069, GFI = 0.831, CFI = 0.927, NFI = 0.875); (4) Conclusions: The DPET-K was confirmed to be a useful tool for assessing the disaster preparedness of nurses in Korea.

Background: This descriptive survey aimed to identify the factors affecting the post-traumatic growth (PTG) of nurses in COVID-19 designated hospitals on the basis of a PTG model. Methods: A survey of 250 nurses working at three COVID-19 hospitals in Seoul, South Korea, was conducted from May to July 2021. The collected data were analyzed using the IBM SPSS 25 (IBM Inc., Armonk, NY, USA). Results: The participants in this study were mostly women (92.7%), and the average age and career duration were 32.08 and 7.88 years, respectively. The factors that significantly influenced the participants’ PTG were identified as marriage, religion, self-disclosure, deliberate rumination, meaning in life, and resilience. Conclusions: As new infectious diseases emerge, it is necessary to develop a program that can encourage self-disclosure and deliberate rumination, help nurses discover and pursue meaning in life, and enhance their ability to overcome trauma and promote PTG.

Kyung-Ah Kang, R.N., Ph.D., Do-Bong Kim, D.Min., Su-Jin Koh, M.D., Ph.D., Myung-Hee Park, A.P.N., Ph.D., Hye Yoon Park, M.D., Ph.D., Deuk Hyoung Yoon, Ph.D., Soo-Jin Yoon, R.N., M.S.N., Su-Jeong Lee, A.P.N., M.S.N., JI-Eun Choi, M.S.W., Hyoung-Suk Han, R.N., Ph.D. candidate and Jiyoung Chun, R.N., Ph.D.. J Hosp Palliat Care 2023;26:149-59. https://doi.org/10.14475/jhpc.2023.26.4.149

When provided with opportunities to view the world from the patients' perspective, nursing students can experience the same practical occurrences and feelings that patients encounter, consequently becoming more aware of their discomfort and pain. This study aimed to evaluate the performance of the patient experience virtual reality blended learning program developed for nursing students. This study is significant in that it presents a program that enables nursing students to not only experience being perioperative patients themselves but also experience their conditions in places other than hospitals, which are generally used as training locations. The analytical results of this study indicated that nursing students who virtually experienced the conditions of perioperative patients through virtual reality blended learning showed increased levels of empathy, positive attitudes toward patient safety treatment, confidence in nursing care, and clinical skill performance. The developed program in this study blended various teaching methods with a virtual reality platform to help junior nursing students with practical and effective perioperative training increase their levels of empathy by simulating the experiences and perspectives of perioperative patients.

Purpose: This study analyzed research trends related to childhood and adolescent cancer survivors (CACS) using word co-occurrence network analysis on studies registered in the Korean Citation Index (KCI).Methods: This word co-occurrence network analysis study explored major research trends by constructing a network based on relationships between keywords (semantic morphemes) in the abstracts of published articles. Research articles published in the KCI over the past 10 years were collected using the Biblio Data Collector tool included in the NetMiner Program (version 4), using "cancer survivors", "adolescent", and "child" as the main search terms. After pre-processing, analyses were conducted on centrality (degree and eigenvector), cohesion (community), and topic modeling.Results: For centrality, the top 10 keywords included "treatment", "factor", "intervention", "group", "radiotherapy", "health", "risk", "measurement", "outcome", and "quality of life". In terms of cohesion and topic analysis, three categories were identified as the major research trends: "treatment and complications", "adaptation and support needs", and "management and quality of life".Conclusion: The keywords from the three main categories reflected interdisciplinary identification. Many studies on adaptation and support needs were identified in our analysis of nursing literature. Further research on managing and evaluating the quality of life among CACS must also be conducted.

Background: Being diagnosed with cancer during childhood or adolescence can disrupt important periods in an individual’s physical, psychosocial, and spiritual development and potentially reduce the quality of life (QOL) after treatment. Research is urgently required to improve the QOL for child and adolescent cancer survivors, and it is necessary to analyze the trends in prior research reported in international academic journals to identify knowledge structures. Objective: This study aims to identify the main keywords based on network centrality, subgroups (clusters) of keyword networks by using a cohesion analysis method, and the main theme of child and adolescent cancer survivor–related research abstracts through topic modeling. This study also aims to label the subgroups by comparing the results of the cohesion and topic modeling. Methods: A text network analysis method and topic modeling were used to explore the main trends in child and adolescent cancer survivor research by structuring a network of keyword (semantic morphemes) co-occurrence in the abstracts of articles published in 5 major web-based databases from 2016 to 2020. A total of 1677 child and adolescent cancer survivor–related studies were used for data analyses. Data selection, processing, and analyses were also conducted. Results: The top 5 keywords in terms of degree and eigenvector centrality were risk, control interval, radiation, childhood cancer treatment, and diagnosis. Of the 1677 studies used for data analyses, cluster 1 included 780 (46.51%) documents under risk management, cluster 2 contained 557 (33.21%) articles under health-related QOL and supportive care, and cluster 3 consisted of 340 (20.27%) studies under cancer treatment and complications. Conclusions: This study is significant in that it confirms the knowledge structure based on the main keywords and cross-disciplinary trends in child and adolescent cancer survivor research published in the last 5 years worldwide. The primary goal of child and adolescent cancer survivor research is to prevent and manage the various aspects of the problems encountered during the transition to a normal life and to improve the overall QOL. To this end, it is necessary to further revitalize the study of the multidisciplinary team approach for the promotion of age-specific health behaviors and the development of intervention strategies with increased feasibility for child and adolescent cancer survivors.