Table_3_One Health Surveillance: A Matrix to Evaluate Multisectoral Collaboration.docx

The international community and governmental organizations are actively calling for the implementation of One Health (OH) surveillance systems to target health hazards that involve humans, animals, and their environment. In our view, the main characteristic of a OH surveillance system is the collaboration across institutions and disciplines operating within the different sectors to plan, coordinate, and implement the surveillance process. However, the multisectoral organizational models and possible collaborative modalities implemented throughout the surveillance process are multi-fold and depend on the objective and context of the surveillance. The purpose of this study is to define a matrix to evaluate the quality and appropriateness of multisectoral collaboration through an in-depth analysis of its organization, implementation, and functions. We developed a first list of evaluation attributes based on (i) the characteristics of the organization, implementation, and functionality of multisectoral surveillance systems; and (ii) the existing attributes for the evaluation of health surveillance systems and OH initiatives. These attributes were submitted to two rounds of expert-opinion elicitation for review and validation. The final list of attributes consisted of 23 organizational attributes and 9 functional attributes, to which 3 organizational indexes were added measuring the overall organization of collaboration. We then defined 75 criteria to evaluate the level of satisfaction for the attributes and indexes. The criteria were scored following a four-tiered scoring grid. Graphical representations allowed for an easy overview of the evaluation results for both attributes and indexes. This evaluation matrix is the first to allow an in-depth analysis of collaboration in a multisectoral surveillance system and is the preliminary step toward the creation of a fully standalone tool for the evaluation of collaboration. After its practical application and adaptability to different contexts are field-tested, this tool could be very useful in identifying the strengths and weaknesses of collaboration occurring in a multisectoral surveillance system.

国际社会与政府组织正积极呼吁构建针对涉及人类、动物及其所处环境的健康危害的同一健康（One Health）监测系统。本研究认为，同一健康监测系统的核心特征，是依托不同部门开展工作的机构与学科之间开展协作，以规划、协调并实施监测全流程。然而，监测过程中采用的多部门组织模式与潜在协作形式多种多样，且取决于监测的目标与应用场景。本研究旨在构建一套评估矩阵，通过深入分析多部门协作的组织架构、实施流程与功能，以评估其质量与适配性。我们首先基于两点依据拟定了评估属性的初始清单：其一，多部门监测系统的组织、实施与功能特征；其二，现有健康监测系统与同一健康举措的评估属性。随后，我们将上述属性提交至两轮专家意见征询环节以完成评审与验证。最终确定的评估属性清单包含23项组织类属性与9项功能类属性，并新增3项用于衡量协作整体组织架构的组织类指标。随后我们定义了75项标准，用于评估各属性与指标的达标程度。上述标准采用四级评分量表进行打分。通过可视化图表可便捷概览各类属性与指标的评估结果。本评估矩阵是首个可用于深入分析多部门监测系统协作情况的工具，也是开发一套完全独立的协作评估工具的前置步骤。待该工具经过实际应用与不同场景适配性的实地测试后，便可有效识别多部门监测系统中协作环节的优势与短板。