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将基于社区的死因推断纳入民事登记和生命统计系统:五个国家的经验教训。

Integrating community-based verbal autopsy into civil registration and vital statistics: lessons learnt from five countries.

机构信息

School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia

School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia.

出版信息

BMJ Glob Health. 2021 Nov;6(11). doi: 10.1136/bmjgh-2021-006760.

Abstract

This paper describes the lessons from scaling up a verbal autopsy (VA) intervention to improve data about causes of death according to a nine-domain framework: governance, design, operations, human resources, financing, infrastructure, logistics, information technologies and data quality assurance. We use experiences from China, Myanmar, Papua New Guinea, Philippines and Solomon Islands to explore how VA has been successfully implemented in different contexts, to guide other countries in their VA implementation. The governance structure for VA implementation comprised a multidisciplinary team of technical experts, implementers and staff at different levels within ministries. A staged approach to VA implementation involved scoping and mapping of death registration processes, followed by pretest and pilot phases which allowed for redesign before a phased scale-up. Existing health workforce in countries were trained to conduct the VA interviews as part of their routine role. Costs included training and compensation for the VA interviewers, information technology (IT) infrastructure costs, advocacy and dissemination, which were borne by the funding agency in early stages of implementation. The complexity of the necessary infrastructure, logistics and IT support required for VA increased with scale-up. Quality assurance was built into the different phases of the implementation. VA as a source of cause of death data for community deaths will be needed for some time. With the right technical and political support, countries can scale up this intervention to ensure ongoing collection of quality and timely information on community deaths for use in health planning and better monitoring of national and global health goals.

摘要

本文介绍了根据九个领域框架(治理、设计、运作、人力资源、融资、基础设施、物流、信息技术和数据质量保证)扩大死因推断(VA)干预以改善死亡原因数据的经验教训。我们使用来自中国、缅甸、巴布亚新几内亚、菲律宾和所罗门群岛的经验,探讨了 VA 在不同背景下是如何成功实施的,以指导其他国家实施 VA。VA 实施的治理结构包括一个多学科的技术专家团队、实施者和不同级别部委的工作人员。VA 实施的分阶段方法包括对死亡登记过程进行范围界定和映射,然后进行预测试和试点阶段,以便在分阶段扩大规模之前进行重新设计。各国现有的卫生劳动力接受了培训,以作为其常规职责的一部分进行 VA 访谈。培训和 VA 访谈者的补偿、信息技术(IT)基础设施成本、宣传和传播费用都由实施早期的资助机构承担。VA 所需的基础设施、物流和 IT 支持的复杂性随着规模的扩大而增加。质量保证被纳入实施的不同阶段。VA 作为社区死亡原因数据的来源,在一段时间内仍将是必要的。只要有正确的技术和政治支持,各国就可以扩大这一干预措施,以确保持续收集关于社区死亡的高质量和及时信息,用于卫生规划,并更好地监测国家和全球卫生目标。

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