Descriptive Review of Patents in Healthcare and Nursing: Based on Network Analysis

Purpose@#The significance of the healthcare industry has grown exponentially in recent years due to the impact of the fourth industrial revolution and the ongoing pandemic. Accordingly, this study aimed to examine domestic healthcare-related patents comprehensively. Big data analysis was used to present the trend and status of patents filed in nursing. @*Methods@#The descriptive review was conducted based on Grant and Booth’s descriptive review framework. Patents related to nursing was searched in the Korea Intellectual Property Rights Information Service between January 2016 to December 2020. Data analysis included descriptive statistics, phi-coefficient for correlations, and network analysis using the R program (version 4.2.2). @*Results@#Among 37,824 patents initially searched, 1,574 were selected based on the inclusion criteria. Nursing-related patents did not specify subjects, and many patents (41.4%) were related to treatment in the healthcare delivery phase. Furthermore, most patents (56.1%) were designed to increase effectiveness. The words frequently used in the titles of nursing-related patents were, in order, “artificial intelligence,” “health management,” and “medical information,” and the main terms with high connection centrality were “artificial intelligence” and “therapeutic system.” @*Conclusion@#The industrialization of nursing is the best solution for developing the healthcare industry and national health promotion. Collaborations in education, research, and policy will help the nursing industry become a healthcare industry of the future. This will prime the enhancement of the national economy and public health.

Association between Resilience, Professional Quality of Life, and Caring Behavior in Oncology Nurses: A Cross-Sectional Study

Purpose@#The degree of caring behavior of oncology nurses is a crucial factor in the care provided to patients with cancer. In this study, we aimed to investigate factors related to oncology nurses’ caring behavior, including their resilience and professional quality of life. @*Methods@#A cross-sectional descriptive study was conducted with 107 oncology nurses at an urban tertiary hospital from May 18 to 24, 2015.We used a self-report questionnaire to measure resilience, professional quality of life, and degree of caring behavior. Data analysis included descriptive statistics, correlations, and multiple regression analysis using SPSS/WIN 20.0. @*Results@#Oncology nurses presented with low levels of resilience and caring behavior, and high levels of compassion satisfaction, burnout, and secondary traumatic stress. There was a statistically significant relationship between the degree of caring behavior, resilience (r = .43, p < .001), compassion satisfaction (r = .51, p < .001), and burnout (r = - .42, p < .001), as well as between secondary traumatic stress and burnout (r = .34, p < .001). Factors associated with oncology nurses’ degree of caring behavior were compassion satisfaction (t = 6.00, p < .001) and educational level (t = 3.45, p = .001). @*Conclusion@#This study demonstrates that oncology nurses’ degree of caring behavior is related to their professional quality of life and education. These findings suggest that enhancing oncology nurses’ healthy coping strategies at both the individual and organizational levels can further develop holistic nursing care. Additionally, it is necessary to examine the factors affecting nurses’ compassion satisfaction and to try to promote this aspect.