Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2022 Jun 30;15(sup1):2006421.
doi: 10.1080/16549716.2021.2006421.

The role of modeling in evaluation of maternal and child health programs: using the lives saved tool to help answer core evaluation questions

Affiliations

The role of modeling in evaluation of maternal and child health programs: using the lives saved tool to help answer core evaluation questions

Neff Walker et al. Glob Health Action. .

Abstract

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.

Keywords: Program evaluation; child health; impact evaluation; maternal health; modeling; newborn health.

PubMed Disclaimer

Conflict of interest statement

No potential conflict of interest was reported by the author(s).

References

    1. Hug L, Alexander M, You D, et al. National, regional, and global levels and trends in neonatal mortality between 1990 and 2017, with scenario-based projections to 2030: a systematic analysis. Lancet Glob Health. 2019;7:16–22. - PMC - PubMed
    1. UN Inter-agency Group for Child Mortality Estimation (IGME. Levels & Trends in Child Mortality. New York: IGME Report 2019. [cited 2020 Sept 1]. Available from: https://www.unicef.org/media/60561/file/UN-IGME-child-mortality-report-2...
    1. World Health Organization Trends in maternal mortality 2000 to 2017: estimates Geneva: WHO, UNICEF, UNFPA, World Bank Group and the United Nations Population Division. 2019. [cited 2020 Sept 1]. Available from: file:///C:/Users/JBryce/Downloads/9789241516488-eng.pdf
    1. Raifman JG, Lam F, Keller JM, et al. Evaluating evaluations: assessing the quality of Aid Agency evaluations in Global Health. CGD Working Paper 461. Washington, DC: Center for Global Development. 2017. [cited 2020 Apr 28]. Available from: https://www.cgdev.org/publication/evaluating-evaluations-assessing-quali...
    1. Amouzou A, Bryce J, Walker N; the JHU RADAR Team . Strengthening effectiveness evaluations to improve programs for women, children, and adolescents. Paper 1 in this Supplement. - PMC - PubMed

Publication types