Department of International Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA.
Glob Health Action. 2022 Jun 30;15(sup1):2006421. doi: 10.1080/16549716.2021.2006421.
This paper explains how The Lives Saved Tool (LiST), a computer-based model that estimates the impact of scaling up interventions on stillbirths, maternal, neonatal and child health, can contribute to evaluations of programs being delivered at scale to improve maternal and child health. LiST can be used to estimate the impact of a program in advance, allowing planners to refine, streamline and set appropriate program targets. LiST can also be used to estimate the impact of a program, which is particularly useful given the high costs of measuring changes in population health. Finally, LiST can be used to estimate the relative contributions of different interventions or sets of interventions within programs that are found to have a positive impact. The latest version of LiST allows users to manipulate both utilization and quality of service to generate estimates of effective coverage. In addition, a new, web-based version of LiST is now available, with a simpler and more streamlined interface designed to increase accessibility to beginning users. LiST modeling can help program planners, evaluators and funders respond to core evaluation questions related to program design and impact, providing evidence to support decisions about how best to use available resources to save the lives of women and children.
本文阐述了基于计算机的模型——生命挽救工具（LiST）如何为评估大规模实施的项目对母婴健康的影响做出贡献，该模型可用于估计扩大干预措施对死产、母婴和儿童健康的影响。LiST 可用于提前估计项目的影响，使规划人员能够改进、简化和设定适当的项目目标。LiST 还可用于估计项目的影响，鉴于衡量人口健康变化的成本高昂，这一点尤其有用。最后，LiST 可用于估计在被发现具有积极影响的项目中，不同干预措施或干预措施组合的相对贡献。LiST 的最新版本允许用户操纵利用率和服务质量，以生成有效覆盖范围的估计值。此外，现在还提供了一个新的基于网络的 LiST 版本，其界面更简单、更精简，旨在提高新手用户的可访问性。LiST 模型可以帮助项目规划者、评估者和资助者回答与项目设计和影响相关的核心评估问题，提供证据支持有关如何最好地利用可用资源来拯救妇女和儿童生命的决策。
