‘Imaginative captivity’ in modeling future maternal and child health outcomes: A critical analysis of the Lives Saved Tool (LiST)
DOI:
https://doi.org/10.55016/nc356045Keywords:
The Lives Saved Tool (LiST), Imaginative captivity, maternal and child health, data inertia, futuresAbstract
The Lives Saved Tool (LiST) is a modeling software used to predict the impact of health interventions on maternal and child health and mortality in low-resource settings. LiST is more than a predictive software for maternal and child health. It is also a governance mechanism, organizing maternal and child health actors – including policy makers, program planners, NGOs, and researchers – to address maternal and child health according to donors’ preferences for cost-effective, standalone technical interventions. In this paper, I trace the history of LiST – from its early days as a series of spreadsheets created for a special issue in The Lancet by the Bellagio Group, a cohort of child survival researchers concerned about excess child mortality – to show how and why LiST data and frameworks narrow the scope of interventions considered appropriate for maternal and child health care in low-resource settings. LiST’s data and governance effects produce an imaginative captivity that sidelines other ways of knowing about maternal and child health in poor countries, circumscribing a fuller range of problem solving – such as listening to mothers, children, and local health care providers, and attending to the cultural, social and political economy factors of health – thereby limiting options for maternal and child health futures.
References
Adams, V. (2005) Saving Tibet? An inquiry into modernity, lies, truths, and beliefs. Medical Anthropology, 24(1), 71-110. https://doi.org/10.1080/01459740590905651
Adams, V. (2010) Against global health? Arbitrating science, non-science, and nonsense through health. In J. M. Metzl & A. Kirkland (Eds.), Against health: How health became the new morality (pp. 40–60). NYU Press.
Adams, V. (Ed.) (2016) Metrics: What counts in global health. Duke University Press.
Adams, V., Murphy, M., & Clarke, A. E. (2009) Anticipation: Technoscience, life, affect, temporality. Subjectivity, 28(1), 246–265. https://doi.org/10.1057/sub.2009.18
Bernard, H. R. (2006) Research methods in anthropology: Qualitative and quantitative approaches. AltaMira Press.
Bowker, G. C., & Star, S. L. (1999) Sorting things out: Classification and its consequences. MIT Press.
Braun, V., & Clarke, V. (2006) Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77-101. https://doi.org/10.1191/1478088706qp063oa
Braun, V., & Clarke, V. (2021) Can I use TA? Should I use TA? Should I not use TA? Comparing reflexive thematic analysis and other pattern-based qualitative analytic approaches. Counselling & Psychotherapy Research, 21(1), 37-47. https://doi.org/10.1002/capr.12360
Bryce, J., Arnold, F., Blanc, A., Hancioglu, A., Newby, H., Requejo, J., & Wardlaw, T. (2013) Measuring coverage in MNCH: New findings, new strategies, and recommendations for action. PLoS Medicine, 10(5), 1-9. https://doi.org/10.1371/journal.pmed.1001423
Chola, L., McGee, S., Tugendhaft, A., Buchmann, E., & Hofman, K. (2015) Scaling up family planning to reduce maternal and child mortality: The potential costs and benefits of modern contraceptive use in South Africa. PLOS ONE, 10(6), 1-16. https://doi.org/10.1371/journal.pone.0130077
Davis, D.-A., & Craven, C. (2016) Feminist ethnography: Thinking through methodologies, challenges, and possibilities. Rowman & Littlefield Publishers.
Dumit, J., & de Laet, M. (2014) Curves to bodies: The material life of graphs. In D. L. Kleinman & K. Moore (Eds.), Routledge handbook of science, technology, and society (pp. 71–89). Routledge.
Erikson, S. L. (2012) Global health business: The production and performativity of statistics in Sierra Leone and Germany. Medical Anthropology, 31(4), 367–384. https://doi.org/10.1080/01459740.2011.621908
Erikson, S., & Udevi‐Aruevoru, I. (2023) The future of reproductive health financing. In C. C. Van Hollen & N. Appleton (Eds.), A Companion to the anthropology of reproductive medicine and technology (pp. 153-167). John Wiley & Sons.
Farmer, P. (2001) Infections and inequalities: The modern plagues. University of California Press.
Fischer Walker, C. L., & Walker, N. (2014) The Lives Saved Tool (LiST) as a model for diarrhea mortality reduction. BMC Medicine, 12(70), 1-13. https://doi.org/10.1186/1741-7015-12-70
Fox, M. J., Martorell, R., van den Broek, N., & Walker, N. (2011) Assumptions and methods in the Lives Saved Tool (LiST). BMC Public Health, 11(3), I1. https://doi.org/10.1186/1471-2458-11-S3-I1
Jones, G., Steketee, R. W., Black, R. E., Bhutta, Z. A., & Morris, S. S. (2003) How many child deaths can we prevent this year? The Lancet, 362(9377), 65–71. https://doi.org/10.1016/S0140-6736(03)13811-1
Kingori, P., & Gerrets, R. (2016) Morals, morale and motivations in data fabrication: Medical research fieldworkers views and practices in two Sub-Saharan African contexts. Social Science & Medicine, 166, 150–159. https://doi.org/10.1016/j.socscimed.2016.08.019
Kingori, P., & Gerrets, R. (2019) Why the pseudo matters to global health. Critical Public Health, 29(4), 379–389. https://doi.org/10.1080/09581596.2019.1605155
Lampland, M., & Star, S. L. (Eds.) (2009) Standards and their stories: How quantifying, classifying, and formalizing practices shape everyday life. Cornell University Press.
LivesSavedTool (2018a, December 5th) Introduction to LiST #1 - Background and history [Video]. YouTube. https://www.youtube.com/watch?v=6y54aMS6D0w
LivesSavedTool (2018b, December 5th) Introduction to LiST #2 - Calculating impact in LiST [Video]. YouTube. https://www.youtube.com/watch?v=SmFm4tGsXHk
LivesSavedTool (2018c, December 5th) Introduction to LiST #3 - Multiple impact calculations LiST, advantages and disadvantages [Video]. YouTube. https://www.youtube.com/watch?v=QtRk-CdHkBI
Lungiswa, L. N., Lumbwe, L. C., Aviva, A. T., & Karen, K. H. (2017) Modelling the cost of community interventions to reduce child mortality in South Africa using the Lives Saved Tool (LiST). BMJ Open, 7(8), e011425. https://doi.org/10.1136/bmjopen-2016-011425
Merry, S. E. (2016) The seductions of quantification: Measuring human rights, gender violence, and sex trafficking. University of Chicago Press.
Morgan, H. (2021) Conducting a qualitative document analysis. The Qualitative Report, 27(1), 64-77. https://doi.org/10.46743/2160-3715/2022.5044
Nove, A., Friberg, I. K., de Bernis, L., McConville, F., Moran, A. C., Najjemba, M., … & Homer, C. S. E. (2021) Potential impact of midwives in preventing and reducing maternal and neonatal mortality and stillbirths: A Lives Saved Tool modelling study. The Lancet Global Health, 9(1), e24–e32. https://doi.org/10.1016/S2214-109X(20)30397-1
Oni-Orisan, A. (2016) The obligation to count: The politics of monitoring maternal mortality in Nigeria. In V. Adams (Ed.), Metrics: What counts in global health (pp. 82–101). Duke University Press.
Oomen, J., Hoffman, J., & Hajer, M. A. (2021) Techniques of futuring: On how imagined futures become socially performative. European Journal of Social Theory, 25(2), 225-251. https://doi.org/10.1177/1368431020988826
Packard, R. M. (2016) A history of global health: Interventions into the lives of other peoples. Johns Hopkins University Press.
Peeters Grietens, K., Kingori, P., Friesen, P., Gerrets, R., Douglas-Jones, R., & Kuhn, G. (2022) Misdirection in global health: Creating the illusion of (im)possible alternatives in global health research and practice. Science & Technology Studies, 35(2), 2–12. https://doi.org/10.23987/sts.115410
Pigg, S. L., Erikson, S. L., & Inglis, K. (2018) Document/ation: Power, interests, accountabilities. Anthropologica, 60(1), 167–177. https://muse.jhu.edu/article/705332
Porter, T. M. (1995) Trust in numbers: The pursuit of objectivity in science and public life. Princeton University Press.
Prainsack, B. (2022) The roots of neglect: Towards a sociology of non-imagination. TECNOSCIENZA Italian Journal of Science & Technology Studies, 13(2), 13–34. https://doi.org/10.6092/issn.2038-3460/17577
Rhodes, T., & Lancaster, K. (2020) Mathematical models as public troubles in COVID-19 infection control: Following the numbers. Health Sociology Review, 29(2), 177–194. https://doi.org/10.1080/14461242.2020.1764376
Riles, A. (2006) Documents: Artifacts of modern knowledge. University of Michigan Press.
Roalkvam, S., & McNeill, D. (2016) What counts as progress? The contradictions of global health initiatives. Forum for Development Studies, 43(1), 69-88. https://doi.org/10.1080/08039410.2015.1134645
Roberton, T., Litvin, K., Self, A., & Stegmuller, A. R. (2017) All things to all people: Trade-offs in pursuit of an ideal modeling tool for maternal and child health. BMC Public Health, 17(S4), 785. https://doi.org/10.1186/s12889-017-4751-4
Rudan, I., Kapiriri, L., Tomlinson, M., Balliet, M., Cohen, B., & Chopra, M. (2010) Evidence-based priority setting for health care and research: Tools to support policy in maternal, neonatal, and child health in Africa. PLOS Medicine, 7(7), e1000308. https://doi.org/10.1371/journal.pmed.1000308
Stegmuller, A. R., Self, A., Litvin, K., & Roberton, T. (2017) How is the Lives Saved Tool (LiST) used in the global health community? Results of a mixed-methods LiST user study. BMC Public Health, 17(4), 773. https://doi.org/10.1186/s12889-017-4750-5
Storeng, K. T. (2014) The GAVI alliance and the “Gates approach” to health system strengthening. Global Public Health, 9(8), 865–879. https://doi.org/10.1080/17441692.2014.940362
Storeng, K. T., & Béhague, D. P. (2014) “Playing the numbers game”: Evidence‐based advocacy and the technocratic narrowing of the Safe Motherhood Initiative. Medical Anthropology Quarterly, 28(2), 260–279. https://doi.org/10.1111/maq.12072
Suh, S. (2019) Metrics of survival: Post-abortion care and reproductive rights in Senegal. Medical Anthropology, 38(2), 152–166. https://doi.org/10.1080/01459740.2018.1496333
Suh, S. (2021) Dying to count: Post-abortion care and global reproductive health politics in Senegal. Rutgers University Press.
Tichenor, M. (2017) Data performativity, performing health work: Malaria and labor in Senegal. Medical Anthropology, 36(5), 436–448. https://doi.org/10.1080/01459740.2017.1316722
Timmermans, S., & Berg, M. (2003) The gold standard: The challenge of evidence-based medicine and standardization in health care. Temple University Press.
Varley, E. (2023) Hospital paperworlds: Medical (mis)reporting and maternal health in northern Pakistan. Medical Anthropology Quarterly, 37(1), 23–41. https://doi.org/10.1111/maq.12737
Victora, C. G. (2010) Commentary: LiST: Using epidemiology to guide child survival policymaking and programming. International Journal of Epidemiology, 39(Supplement 1), i1–i2. https://doi.org/10.1093/ije/dyq044
Walker, N., & Friberg, I. K. (2017) Introduction: Reporting on updates in the scientific basis for the Lives Saved Tool (LiST). BMC Public Health, 17(S4), 774. https://doi.org/10.1186/s12889-017-4735-4
Walker, N., & Tam, Y. (2022) The role of modeling in evaluation of maternal and child health programs: Using the Lives Saved Tool to help answer core evaluation questions. Global Health Action, 15(sup1), 2006421. https://doi.org/10.1080/16549716.2021.2006421
Walker, N., Tam, Y., & Friberg, I. K. (2013) Overview of the Lives Saved Tool (LiST). BMC Public Health, 13(3), S1. https://doi.org/10.1186/1471-2458-13-S3-S1
Wendland, C. L. (2016) Estimating death: A close reading of maternal mortality metrics in Malawi. In V. Adams (Ed.), Metrics: What counts in global health (pp. 57–81). Duke University Press.
Wendland, C. L. (2022) Partial stories: Maternal death from six angles. University of Chicago Press.
Wendland, C. L. (2026, in press) Predictive tools in maternal health: making futures for patients and populations. Journal of Critical Public Health, X(X), XX-XX.
Winfrey, W., McKinnon, R., & Stover, J. (2011) Methods used in the Lives Saved Tool (LiST). BMC Public Health, 11(3), S32. https://doi.org/10.1186/1471-2458-11-S3-S32
Yates-Doerr, E., Carruth, L., Lasco, G., & García-Meza, R. (2023) Global health interventions: The military, the magic bullet, the deterministic model—and intervention otherwise. Annual Review of Anthropology, 52(1), 187–204. https://doi.org/10.1146/annurev-anthro-041520-093024
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Iveoma Udevi-Aruevoru

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
All articles in the Journal of Critical Public Health are published under a CC-BY-NC-ND license, or a CC-BY license if authors or their funders require this. The default CC-BY-NC-ND license means that authors and users may copy and distribute the material in any medium or format in un-adapted form only, for non-commercial purposes only, and only so long as proper credit is given (as is customary in academic work). Authors retain copyright of their work published in Journal of Critical Public Health and full publishing rights without restrictions