Vasta Florencia C, Friesen Valerie M, Jungjohann Svenja, Nyangaresi Annette M, Mkambula Penjani, Morrison Taylor, Walsh Fiona, Mbuya Mduduzi N N
Global Alliance for Improved Nutrition, Geneva, Switzerland.
Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Ann N Y Acad Sci. 2025 Feb;1544(1):106-124. doi: 10.1111/nyas.15276. Epub 2025 Jan 14.
Food fortification (i.e., industrial fortification and biofortification) increases the micronutrient content of foods to improve population nutrition. Implementing effective fortification programs requires the generation and use of data to inform decision making. The use of digital tools and technologies (DTTs) for such purposes in broader nutrition programs is growing; however, there is limited consolidation of those used in fortification. This scoping review aimed to identify and describe DTTs used in fortification programs. We searched peer-reviewed and gray literature and conducted 17 stakeholder surveys. We then mapped DTTs identified against the fortification and nutrition data value chains. Of 11,741 articles identified, 158 met the inclusion criteria. From the included articles and stakeholder surveys, 125 DTTs were identified across three categories: software and tooling (n = 58), data and information lifecycle (n = 50), and hardware and infrastructure (n = 17). Gaps were identified in processing, post-harvest storage, aggregation, and transport nodes of the fortification value chain, and data prioritization, translation/dissemination, and decision-making nodes of the nutrition data value chain. DTTs have the potential to address challenges faced by fortification stakeholders to generate and use data to improve program decision making and nutritional impact. Further work is needed to standardize terminology, identify relevant DTTs from other sectors, and explore stakeholder needs.
食品强化（即工业强化和生物强化）可增加食品中的微量营养素含量，以改善人群营养状况。实施有效的强化计划需要生成并使用数据来为决策提供依据。在更广泛的营养计划中，将数字工具和技术（DTTs）用于此类目的的情况正在增加；然而，用于强化的相关工具整合有限。本范围综述旨在识别并描述强化计划中使用的数字工具和技术。我们检索了同行评审文献和灰色文献，并开展了17项利益相关者调查。然后，我们根据强化和营养数据价值链对所确定的数字工具和技术进行了映射。在所确定的11741篇文章中，158篇符合纳入标准。从纳入的文章和利益相关者调查中，共确定了125种数字工具和技术，分为三类：软件和工具（n = 58）、数据和信息生命周期（n = 50）以及硬件和基础设施（n = 17）。在强化价值链的加工、收获后储存、汇总和运输节点，以及营养数据价值链的数据优先级确定、翻译/传播和决策节点中发现了差距。数字工具和技术有潜力应对强化利益相关者在生成和使用数据以改善计划决策和营养影响方面面临的挑战。需要开展进一步工作来规范术语、从其他部门识别相关数字工具和技术，并探索利益相关者的需求。
