Leask Julie, Christou-Ergos Maria, Abdi Ikram, Mboussou Franck, Sabahelzain Majdi M, Wiley Kerrie E, Lambach Philipp, Sim So Yoon
The University of Sydney, Faculty of Medicine and Health, School of Public Health and Sydney Infectious Diseases Institute, Australia.
The University of Sydney, Faculty of Medicine and Health, School of Public Health and Sydney Infectious Diseases Institute, Australia.
Vaccine. 2025 Mar 7;49:126800. doi: 10.1016/j.vaccine.2025.126800. Epub 2025 Jan 30.
In recent years, mathematical transmission models have been increasingly used to support immunization program decisions and to measure the impact and cost-effectiveness of interventions. However, countries face expertise-and resource-related barriers that limit the use and application of modelled evidence to inform decisions. The World Health Organization (WHO) established an Immunization and Vaccines Implementation Research advisory committee subgroup in 2023 to support immunization decision-makers to effectively generate, translate and use such evidence for strategies, policies, and programs. This study supports this effort, detailing the needs of end-users to inform content and format of the guidance. Fifteen in-depth interviews were conducted with vaccination decision-makers and modelers from all six WHO regions and across low-, middle- and high-income countries. Interviews explored: (i) how modelling is understood and used; (ii) the challenges faced when using modelled evidence; (iii) the types of guidance that would be most useful to enhance the use of modelled evidence. Analysis of transcripts was guided by the framework method, which structures the analysis of qualitative data. Participants with modelling expertise used it firsthand, systematically, and often in an advisory capacity. Less experienced users, often in policy advisory roles, were less confident in their understanding of modelling and some did not use it at all. Decision-makers with little or no modelling experience cited a need for more information to help them understand the value of modelling in their context and many supported its potential. All participants saw a need for capacity strengthening and localised application to instil confidence in using modelled evidence. Those with less experience expressed a need for ongoing interactive engagement with knowledge brokers and training. Insights from this study are being integrated into the development of guidance by WHO. By considering the diverse challenges and needs of both experienced and inexperienced users of modelling, the guidance will support immunization strategy and policy by responding specifically to immunization decision-makers information needs.
近年来,数学传播模型越来越多地用于支持免疫规划决策,并衡量干预措施的影响和成本效益。然而,各国面临与专业知识和资源相关的障碍,这些障碍限制了将模型证据用于决策。世界卫生组织(WHO)于2023年设立了免疫与疫苗实施研究咨询委员会分组,以支持免疫决策者有效生成、转化和使用此类证据,用于战略、政策和规划。本研究支持这一努力,详细说明了终端用户的需求,以为指南的内容和形式提供参考。对来自世卫组织所有六个区域以及低收入、中等收入和高收入国家的疫苗接种决策者和建模人员进行了15次深入访谈。访谈探讨了:(i)如何理解和使用建模;(ii)使用模型证据时面临的挑战;(iii)对加强模型证据使用最有用的指南类型。对访谈记录的分析采用框架法,该方法构建了定性数据的分析。具有建模专业知识的参与者直接、系统地使用它,并且通常以咨询身份使用。经验较少的用户,通常担任政策咨询角色,对建模的理解缺乏信心,有些用户根本不使用建模。几乎没有或没有建模经验的决策者表示需要更多信息来帮助他们理解建模在其背景下的价值,许多人支持其潜力。所有参与者都认为需要加强能力和进行本地化应用,以增强对使用模型证据的信心。经验较少的人表示需要与知识中介进行持续的互动交流和培训。本研究的见解正在被纳入世卫组织指南的制定过程中。通过考虑建模经验丰富和缺乏经验的用户所面临的各种挑战和需求,该指南将通过具体回应免疫决策者的信息需求来支持免疫战略和政策。