Despite attempts to apply standard methods proven to work in high-income nations, nearly all civil registration and vital statistics (CRVS) systems in low- and middle-income countries are failing to achieve adequate levels of registration completeness or produce the high-quality vital statistics needed to support better health outcomes and monitor progress towards the 2030 Sustainable Development Goals. This suggests that, rather than simple technical issues, these countries are facing additional or different systemic challenges, including duplication of roles and responsibilities, inefficient methods of data collection, and a reluctance to change. Process management is a valuable tool that strengthens the production of vital statistics by providing a visualisation of data flow from start to finish. It helps identify gaps and bottlenecks in the process, allowing stakeholders to work collaboratively to find solutions and target interventions. As part of the Bloomberg Philanthropies Data for Health Initiative at the University of Melbourne, 16 countries were supported in mapping the varied processes required in registering a birth or death. Comparative analysis exposed several limitations in the design of CRVS systems that hinder their performance — from ‘passive’ systems, to overly complex and fragmented system design, through to poor collaboration and duplication of efforts. The experiences from Myanmar, Papua New Guinea and Rwanda reported in this paper illustrate the benefits of process management to improve CRVS. While these three countries are at different stages of system development, each uniquely benefited. Process management is a useful tool for all CRVS systems, from the most rudimentary to the most developed. It can strengthen CRVS systems and improve the quality and completeness of vital statistics, resulting in more robust, reliable and timely vital statistics for health planning and better monitoring of the 2030 Sustainable Development Goal agenda.

中文翻译：

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更好的数据，更好的结果：CRVS系统中过程映射和管理的重要性。

尽管尝试采用已证明在高收入国家行之有效的标准方法，但低收入和中等收入国家的几乎所有民事登记和人口动态统计（CRVS）系统都无法实现足够水平的登记完整性或提供高质量的人口动态统计数据需要统计数据来支持更好的健康结果并监测实现2030年可持续发展目标的进展。这表明，这些国家不是简单的技术问题，而是面临其他或不同的系统性挑战，包括角色和责任重复，数据收集方法效率低下以及不愿改变。流程管理是一种有价值的工具，可通过提供从头到尾的数据流可视化来增强生命统计数据的生成。它有助于发现流程中的差距和瓶颈，使利益相关者可以协同工作以找到解决方案和目标干预措施。作为墨尔本大学彭博慈善数据促进健康计划的一部分，支持16个国家/地区绘制出生或死亡登记所需的各种流程。对比分析揭示了CRVS系统设计中的几个限制因素，这些限制阻碍了它们的性能-从“被动”系统到过于复杂和分散的系统设计，再到糟糕的协作和重复工作。本文报道的缅甸，巴布亚新几内亚和卢旺达的经验说明了过程管理对改善CRVS的好处。尽管这三个国家处于系统开发的不同阶段，但每个国家都受益匪浅。从最基本的到最先进的，过程管理是所有CRVS系统的有用工具。它可以加强民事登记和人口动态统计系统，并提高生命统计的质量和完整性，从而为卫生规划和更好地监测2030年可持续发展目标议程提供更加可靠，可靠和及时的生命统计。