One Health Surveillance: A Matrix to Evaluate Multisectoral Collaboration
One Health Surveillance: A Matrix to Evaluate Multisectoral Collaboration
复制标题
DOI：
10.3389/fvets.2019.00109
复制
发表时间：
2019-04-24
影响因子：
3.2
通讯作者：
Hendrikx, Pascal
中科院分区：
文献类型：
--
作者：
Bordier, Marion;Delavenne, Camille;Hendrikx, Pascal
国际社会和政府组织正在积极呼吁实施“同一个健康”（OH）监测系统，以针对涉及人类、动物及其环境的健康危害。我们认为，OH监测系统的主要特点是在不同部门内开展跨机构和学科的合作，以规划、协调和实施监测过程。然而，在整个监测过程中实施的多部门组织模式和可能的合作模式是多重的，并取决于监测的目标和背景。本研究的目的是通过深入分析多部门合作的组织、实施和职能，定义一个矩阵来评估多部门合作的质量和适当性。我们根据(i)多部门监测系统的组织、实施和功能的特点，制定了第一份评估属性清单；（ii）评估卫生监测系统和卫生保健计划的现有属性。这些属性被提交给两轮专家意见征集，以进行审查和验证。最终的属性列表由23个组织属性和9个功能属性组成，其中增加了3个组织指标来衡量协作的整体组织。然后，我们定义了75个标准来评估属性和指标的满意度。这些标准是按照四层评分网格进行评分的。图形表示允许对属性和索引的评估结果进行简单的概述。该评价矩阵是第一个允许对多部门监测系统中的协作进行深入分析的矩阵，也是朝着创建一个完全独立的协作评价工具迈出的初步步骤。在实际应用和对不同情况的适应性经过实地测试后，这一工具在确定多部门监测系统中合作的优势和劣势方面可能非常有用。
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.