Xue Yan, Song Menghuan, Yu Honho, Chen Xianwen, Ung Carolina Oi Lam, Hu Hao
State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macao SAR, People's Republic of China.
Centre for Pharmaceutical Regulatory Sciences, University of Macau, Macao SAR, People's Republic of China.
Diabetes Metab Syndr Obes. 2025 May 22;18:1695-1709. doi: 10.2147/DMSO.S501149. eCollection 2025.
The medical needs of obesity have been underrecognized, though it has posed long-term and enormous challenges to global health. Correspondingly, clinical services for obesity are still uncommon and in their infancy across health systems. It is meaningful to sort out the implementation of such clinical services involving a multiplicity of factors to identify measures for service development, scaling-up and optimization. This study aims to generate a comprehensive understanding of key variables and factors in the utilization and delivery of clinical services for adult patients with obesity and their dynamic patterns and to explore viable options for improved implementation of such services in health systems. We conducted a scoping review of published articles in the database from the lens of system dynamics through causal loop diagramming. Based on the data obtained from the review, we employed the causal loop diagramming as a tool to capture the variables in the implementation of clinical obesity services and their causal relationships. Twenty-one studies were finally included in the review. Based on the evidence consolidated through the review, we developed a causal loop diagram containing 19 causal variables and 38 causal arrows in single directions centered around the service utilization and delivery in the clinical obesity service. The feedback loops revealed potential activation points to intervene to facilitate the service implementation, such as, promotion of obesity as a disease with medical needs and available clinical services, provision of obesity-specific medical education and training opportunities, and prioritization of obesity-specific procedures in clinical protocols. The possible intervention points identified through the causal loop analysis can facilitate the development, implementation, and optimization of clinical obesity services in health systems.
肥胖症的医疗需求一直未得到充分认识,尽管它给全球健康带来了长期且巨大的挑战。相应地,肥胖症的临床服务在整个卫生系统中仍然不常见且尚处于起步阶段。梳理涉及多种因素的此类临床服务的实施情况,以确定服务发展、扩大规模和优化的措施,是有意义的。本研究旨在全面了解成年肥胖患者临床服务利用和提供中的关键变量和因素及其动态模式,并探索在卫生系统中更好地实施此类服务的可行方案。我们通过因果回路图从系统动力学的角度对数据库中已发表的文章进行了范围综述。基于从综述中获得的数据,我们将因果回路图作为一种工具,以捕捉肥胖症临床服务实施中的变量及其因果关系。最终有21项研究纳入综述。基于通过综述整合的证据,我们绘制了一个因果回路图,其中包含19个因果变量和38个单向因果箭头,围绕肥胖症临床服务中的服务利用和提供展开。反馈回路揭示了可进行干预以促进服务实施的潜在激活点,例如,将肥胖宣传为一种有医疗需求且有可用临床服务的疾病,提供针对肥胖症的医学教育和培训机会,以及在临床方案中优先安排针对肥胖症的程序。通过因果回路分析确定的可能干预点可促进卫生系统中肥胖症临床服务的发展、实施和优化。