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解决全球卫生中实施基于证据的优先排序的挑战。

Addressing the challenges of implementing evidence-based prioritisation in global health.

机构信息

Molecular Epidemiology and Public Health Laboratory, Massey University, Palmerston North, New Zealand

Molecular Epidemiology and Public Health Laboratory, Massey University, Palmerston North, New Zealand.

出版信息

BMJ Glob Health. 2023 Jun;8(6). doi: 10.1136/bmjgh-2023-012450.

Abstract

Global health requires evidence-based approaches to improve health and decrease inequalities. In a roundtable discussion between health practitioners, funders, academics and policy-makers, we recognised key areas for improvement to deliver better-informed, sustainable and equitable global health practices. These focus on considering information-sharing mechanisms and developing evidence-based frameworks that take an adaptive function-based approach, grounded in the ability to perform and respond to prioritised needs. Increasing social engagement as well as sector and participant diversity in whole-of-society decision-making, and collaborating with and optimising on hyperlocal and global regional entities, will improve prioritisation of global health capabilities. Since the skills required to navigate drivers of pandemics, and the challenges in prioritising, capacity building and response do not sit squarely in the health sector, it is essential to integrate expertise from a broad range of fields to maximise on available knowledge during decision-making and system development. Here, we review the current assessment tools and provide seven discussion points for how improvements to implementation of evidence-based prioritisation can improve global health.

摘要

全球健康需要循证方法来改善健康状况和减少不平等。在卫生从业人员、资助者、学者和政策制定者之间的一次圆桌讨论中,我们认识到了需要改进的关键领域,以提供更明智、可持续和公平的全球卫生实践。这些重点是考虑信息共享机制和制定基于适应性功能的循证框架,其基础是有能力执行和应对优先需求。增加社会参与以及整个社会决策中的部门和参与者多样性,并与超本地和全球区域实体合作并优化这些实体,将改善全球卫生能力的优先排序。由于应对大流行病驱动因素和确定优先事项、能力建设和应对方面的挑战所需的技能并不完全在卫生部门,因此必须整合来自广泛领域的专业知识,以便在决策和系统开发过程中最大限度地利用现有知识。在这里,我们回顾了当前的评估工具,并就如何改进循证优先排序的实施提出了七点讨论意见,以改善全球健康。

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