ReviewHealth economics review2026
The economic burden of maternal mortality: a scoping review.
Review in Health economics review, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundEach case of maternal death implies a loss for the family, children, partner and community, impacting the family, society and economy. There is limited research which focuses on the economic and social costs of maternal mortality. This paper aims to synthesize the literature on maternal mortality and the economic burden it imposes, highlighting the scope of research and methods used.
methodsWe employed a scoping review methodology guided by the Preferred Reporting Items for Systematic Reviews and Meta-analysis extension for Scoping Reviews (PRISMA-ScR) to rapidly map studies on maternal deaths and associated economic burdens. Articles covering this domain were retrieved from PubMed and Google Scholar, including English-written papers published from inception until April 2025. Articles were assessed by two reviewers, screened against the eligibility criteria and data were extracted on the study’s author, year of publication, aim of study and summary of findings.
resultsEight papers focusing on the economic burden of maternal deaths were included out of the 188 papers identified. Cost-of-illness approach was the major approach to estimating the economic burden imposed by maternal mortality with studies estimating direct and indirect costs at household and country levels. The reported estimates originate from separate analyses conducted in different study settings, and the year of analysis is provided for each figure. At the household-level, economic burden of maternal mortality ranged from 32.0% to 37.0% loss of annual income and 24.9% reduction in expenditure on households in rural China in 2013. At the country/regional level, a unit percentage rise in maternal mortality ratio caused a 0.11% decrease in gross domestic product (GDP) per capita in the African region in 2006 and 167,913 maternal deaths amounted to Int$5.53 billion loss in terms of potential non-health GDP in 2013 within the region. Between 2018 and 2020, the cumulative years of potential lost life was 113,953 with a total value of a statistical life of US$27.4 billion which were attributed to 2273 cases of maternal mortality in the United States of America.
conclusionsOverall, maternal deaths have been demonstrated to impose significant economic burdens on households, communities and nations. Additional research is however required to develop and standardise robust methodologies for estimating the economic costs associated with maternal deaths, which is essential for informing policy and advancing progress toward the Sustainable Development Goals.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.