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Framework to Define Structure and Boundaries of Complex Health Intervention Systems: The ALERT Project

机译:定义复杂健康干预系统的结构和边界的框架:ALERT项目

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摘要

Health intervention systems are complex and subject to multiple variables in different phases of implementation. This constitutes a concrete challenge for the application of translational science in real life. Complex systems as health-oriented interventions call for interdisciplinary approaches with carefully defined system boundaries. Exploring individual components of such systems from different viewpoints gives a wide overview and helps to understand the elements and the relationships that drive actions and consequences within the system. In this study, we present an application and assessment of a framework with focus on systems and system boundaries of interdisciplinary projects. As an example on how to apply our framework, we analyzed ALERT [an integrated sensors and biosensors’ system (BEST) aimed at monitoring the quality, health, and traceability of the chain of the bovine milk], a multidisciplinary and interdisciplinary project based on the application of measurable biomarkers at strategic points of the milk chain for improved food security (including safety), human, and ecosystem health (). In fact, the European food safety framework calls for science-based support to the primary producers’ mandate for legal, scientific, and ethical responsibility in food supply. Because of its multidisciplinary and interdisciplinary approach involving human, animal, and ecosystem health, ALERT can be considered as a One Health project. Within the ALERT context, we identified the need to take into account the main actors, interactions, and relationships of stakeholders to depict a simplified skeleton of the system. The framework can provide elements to highlight how and where to improve the project development when project evaluations are required.
机译:健康干预系统很复杂,在实施的不同阶段会受到多个变量的影响。这对转化科学在现实生活中的应用构成了具体挑战。作为面向健康的干预措施,复杂的系统要求采用跨学科的方法,并要仔细定义系统边界。从不同的角度探讨此类系统的各个组件,可以进行广泛的概述,并有助于理解驱动系统内的动作和后果的要素和关系。在这项研究中,我们提出了一个框架的应用和评估,重点是跨学科项目的系统和系统边界。以如何应用我们的框架为例,我们分析了ALERT(旨在监测牛乳链质量,健康和可追溯性的集成传感器和生物传感器系统(BEST)),这是一个基于多学科和跨学科的项目,基于在牛奶链的战略要点上使用可测量的生物标志物,以改善食品安全(包括安全性),人类和生态系统健康()。实际上,欧洲食品安全框架要求以科学的方式支持主要生产者的食品供应法律,科学和道德责任。由于ALERT具有涉及人类,动物和生态系统健康的多学科和跨学科方法,因此可以将其视为“一个健康”项目。在ALERT上下文中,我们确定了需要考虑主要参与者,交互作用以及利益相关者之间的关系,以描绘系统的简化框架。该框架可以提供一些要素,以突出需要进行项目评估时如何以及在何处改善项目开发。

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