2.Research progress on global health competency and its models
Jingran HU ; Zhenzhong WANG ; Xiaoxia WEI ; Enying GONG ; Ruitai SHAO
Chinese Journal of Preventive Medicine 2024;58(1):92-97
At present, the research on Global Health Competencies is mainly conducted in the field of the establishment of competency models and application of indicators. This review summarizes the research progress of the Global Health Competency and its models, and focuses on cutting-edge research from the aspects of target audience, purpose, content, classical model, methods and future development. The competency model is suggested to be adjusted and updated according to the practices of different countries and regions. The research and funding of the competency model in the field of public health is suggested to be strengthened, and the global health and diplomacy are suggested to be combined to enrich and improve the competency model. Finally, this review aims to promote Global Health Competencies research in China, especially to improve the global health talent training system and relevant policies in further research.
3.Progress in research of multimorbidity measurement and analysis methods
Weihao SHAO ; Zuolin LU ; Enying GONG ; Yueqing WANG ; Xiaoxia WEI ; Xinying HUANG ; Ji ZHANG ; Yihao ZHAO ; Ruitai SHAO
Chinese Journal of Epidemiology 2024;45(11):1611-1616
Multimorbidity is significantly associated with life quality decline, disability, and increased mortality risk. Additionally, it leads to greater consumption of healthcare resources, presenting substantial challenges to healthcare systems globally. To better assess the burden of multimorbidity, its impact on patient health outcomes and healthcare services, and to explore the underlying mechanisms in its development, this paper summarizes the existing methods used for measuring and analyzing multimorbidity in research and practice, including disease count, disease-weighted indices, multimorbidity pattern recognition (such as disease association analysis, clustering analysis, and network analysis) and longitudinal methods to provide references for the accurate assessment of the prevalence of multimorbidity and its changes and improve the validity and universality of research findings.
4.Introduction to Implementation Science Theories, Models, and Frameworks
Lixin SUN ; Enying GONG ; Yishu LIU ; Dan WU ; Chunyuan LI ; Shiyu LU ; Maoyi TIAN ; Qian LONG ; Dong XU ; Lijing YAN
Medical Journal of Peking Union Medical College Hospital 2025;16(5):1332-1343
Implementation Science is an interdisciplinary field dedicated to systematically studying how to effectively translate evidence-based research findings into practical application and implementation. In the health-related context, it focuses on enhancing the efficiency and quality of healthcare services, thereby facilitating the transition from scientific evidence to real-world practice. This article elaborates on Theories, Models, and Frameworks (TMF) within health-related Implementation Science, clarifying their basic concepts and classifications, and discussing their roles in guiding implementation processes. Furthermore, it reviews and prospects current research from three aspects: the constituent elements of TMF, their practical applications, and future directions. Five representative frameworks are emphasized, including the Consolidated Framework for Implementation Research (CFIR), the Practical Robust Implementation and Sustainability Model (PRISM), the Exploration, Preparation, Implementation, Sustainment (EPIS)framework, the Behavior Change Wheel (BCW), and the Normalization Process Theory (NPT). Additionally, resources such as the Dissemination & Implementation Models Webtool and the T-CaST tool are introduced to assist researchers in selecting appropriate TMFs based on project-specific needs.