Jabakhanji Samira B, Valentelyte Gintare, Manke-Reimers Fabian, Halsteinli Vidar, Ødegård Rønnaug, Martin Adam, O'Malley Grace, Sorensen Jan, Hagman Emilia
Centre for Preventive Medicine and Digital Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Baden-Württemberg, Germany.
School of Population Health, RCSI University of Medicine and Health Sciences, Dublin, Ireland.
Appl Health Econ Health Policy. 2025 Mar;23(2):161-169. doi: 10.1007/s40258-025-00946-z. Epub 2025 Feb 1.
Economic evaluations of obesity interventions are critical to informing policymakers and clinical practitioners about best-value prevention and treatment interventions. However, existing studies often fail to measure appropriate outcomes over sufficient time periods and to adequately address the complexity of data, environments and outcomes. An international, multidisciplinary workshop in Ireland (May 2023) addressed these issues through scientific presentations on obesity modelling, group discussions and interactive small-group exercises. Nineteen presenters and participants co-created a list of research needs, priorities and strategies for the long-term study of obesity and its complications. To support availability of relevant outcome and cost data for health economic analyses, participants highlighted a need to define standards for data collection, data sharing, modelling, and integrating a systems perspective. For example, regarding data collection, careful consideration must be given to selecting valid and relevant health-related outcomes for determining future health risk. Although these issues have been previously highlighted, they remain critical barriers to comprehensive economic obesity studies. To identify best-value obesity interventions, researchers should prioritise strategies to overcome these barriers. This includes early engagement with multidisciplinary stakeholders to integrate diverse perspectives. Developing infrastructure to support international collaborations between researchers, policymakers and patient representatives was also recommended. Additionally, establishing best-practice guidelines could help researchers navigate the complexities of obesity data, environments and outcomes, particularly in data-scarce research environments. The creation of a core outcomes set for obesity would standardise measures for economic evaluations, thereby facilitating more robust cross-country comparisons of intervention effects and improving the evidence base and overall quality of future obesity research.
肥胖干预措施的经济评估对于向政策制定者和临床从业者提供关于最佳价值预防和治疗干预措施的信息至关重要。然而，现有研究往往未能在足够长的时间段内衡量适当的结果，也未能充分应对数据、环境和结果的复杂性。2023年5月在爱尔兰举办的一次国际多学科研讨会通过关于肥胖建模的科学报告、小组讨论和互动式小组练习解决了这些问题。19位报告人和参与者共同创建了一份肥胖及其并发症长期研究的研究需求、优先事项和策略清单。为了支持卫生经济分析中相关结果和成本数据的可用性，参与者强调需要定义数据收集、数据共享、建模以及整合系统视角的标准。例如，在数据收集方面，必须仔细考虑选择有效且相关的健康相关结果以确定未来的健康风险。尽管这些问题此前已被强调，但它们仍然是全面肥胖经济研究的关键障碍。为了确定最佳价值的肥胖干预措施，研究人员应优先考虑克服这些障碍的策略。这包括尽早与多学科利益相关者接触以整合不同观点。还建议发展基础设施以支持研究人员、政策制定者和患者代表之间的国际合作。此外，制定最佳实践指南可以帮助研究人员应对肥胖数据、环境和结果的复杂性，特别是在数据稀缺的研究环境中。创建肥胖核心结局集将使经济评估的测量标准化，从而促进对干预效果进行更有力的跨国比较，并改善未来肥胖研究的证据基础和整体质量。
