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定义复杂健康干预系统结构和边界的框架:ALERT项目。

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

作者信息

Boriani Elena, Esposito Roberto, Frazzoli Chiara, Fantke Peter, Hald Tine, Rüegg Simon R

机构信息

Global Decision Support Initiative (GDSI), Technical University of Denmark, Kongens Lyngby, Denmark.

National Food Institute, Technical University of Denmark, Kongens Lyngby, Denmark.

出版信息

Front Public Health. 2017 Jul 28;5:182. doi: 10.3389/fpubh.2017.00182. eCollection 2017.

Abstract

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 (1). 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.

摘要

健康干预系统很复杂,在实施的不同阶段会受到多种变量的影响。这对转化科学在现实生活中的应用构成了具体挑战。作为以健康为导向的干预措施的复杂系统需要采用具有明确界定系统边界的跨学科方法。从不同角度探索此类系统的各个组成部分能提供全面的概述,并有助于理解驱动系统内行动和结果的要素及关系。在本研究中,我们展示了一个侧重于跨学科项目的系统和系统边界的框架的应用与评估。作为如何应用我们框架的一个例子,我们分析了ALERT(一个旨在监测牛奶链质量、健康和可追溯性的集成传感器和生物传感器系统(BEST)),这是一个基于在牛奶链战略点应用可测量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的多学科和跨学科项目(1)。事实上,欧洲食品安全框架要求为初级生产者在食品供应中的法律、科学和道德责任提供基于科学的支持。由于其涉及人类、动物和生态系统健康的多学科和跨学科方法,ALERT可被视为一个“同一个健康”项目。在ALERT的背景下,我们确定需要考虑主要行为者、利益相关者的相互作用和关系,以描绘该系统的简化框架。当需要进行项目评估时,该框架可以提供要素来突出如何以及在何处改进项目开发。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7952/5532392/08748f518e30/fpubh-05-00182-g001.jpg

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