Evidence map›Paper›PMID 40461138›Full record

ArticleJournal of Korean medical science2025

Global, Regional, and National Trends in Maternal Mortality Ratio Across 37 High Income Countries From 1990 to 2021, With Projections up to 2050: A Comprehensive Analysis From the WHO Mortality Database.

Sooji Lee, Soeun Kim, Hyeri Lee, Jaeyu Park, Yejun Son, Guillermo F López Sánchez, Damiano Pizzol, Jinseok Lee, Young Joo Lee, Hayeon Lee and 4 more

Abstract read
In one paragraph

Article in Journal of Korean medical science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Why & where perinatal deaths: trends and determinants in Pakistan.Maternal health, neonatology and perinatology · 2026
    Article
  5. Article
  6. Article
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Sooji Lee *Department of Medicine, Kyung Hee University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0009-0002-1413-378X
Soeun Kim *Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0009-0009-5874-417X
Hyeri LeeCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0009-0009-3132-1062
Jaeyu ParkCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0009-0005-2009-386X
Yejun SonCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0009-0001-3939-2983
Guillermo F López SánchezDivision of Preventive Medicine and Public Health, Department of Public Health Sciences, School of Medicine, University of Murcia, Murcia, Spain.ORCID https://orcid.org/0000-0002-9897-5273
Damiano PizzolHealth Unit, Eni, San Donato Milanese, Italy.ORCID https://orcid.org/0000-0003-4122-0774
Jinseok LeeDepartment of Biomedical Engineering, Kyung Hee University College of Electronics and Information, Yongin, Korea.ORCID https://orcid.org/0000-0002-8580-490X
Young Joo LeeDepartment of Obstetrics and Gynecology, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0001-5294-7368
Hayeon LeeCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0009-0000-2403-6241
Hyeon Jin KimCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0003-1286-4669
Lee SmithCentre for Health, Performance and Wellbeing, Anglia Ruskin University, Cambridge, UK.ORCID https://orcid.org/0000-0002-5340-9833
Selin WooCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, Korea. dntpfls@naver.com.ORCID https://orcid.org/0000-0001-7961-2074
Dong Keon YonDepartment of Medicine, Kyung Hee University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0003-1628-9948

Funding

Ministry of Science and ICT IITP-2024-RS-2024-00438239National Research Foundation of Korea RS-2024-00460379
6 · The paper itself

Abstract

backgroundUnderstanding the global trends and future projections of maternal mortality ratio (MMR) is crucial as it can provide insights into improving policies and healthcare systems aimed at enhancing the quality of obstetric care and reducing preventable deaths. Given recent reports of increasing MMR trends in some high-income countries (HICs), we aimed to analyze the global trends of MMR from 1990 to 2021 and project future trends until 2050 across 37 countries.

methodsAge-standardized country-specific MMR for 37 countries from 1990 to 2021 were assessed through a locally weighted scatter plot smoother (LOESS) curve, with weighting based on individual country populations, utilizing the World Health Organization Mortality Database. The impact of premature mortality due to MMR was assessed by analyzing the years of life lost (YLLs). Furthermore, projections for MMR up to 2050 were derived using the Bayesian Age-Period-Cohort (BAPC) model. Decomposition analysis identified factors contributing to MMR variations such as population growth, aging and epidemiological changes.

resultsThe LOESS estimate of the global MMR decreased from 25.65 deaths per 100,000 live births (95% confidence interval [CI], 22.10, 29.20) in 1990 to 10.38 (6.41, 14.36) in 2021. While most continents showed a decreasing trend, young age groups in Asia-Pacific regions and all age groups in North America exhibited no significant changes from 1990 to 2021. MMR due to direct causes declined from 25.05 deaths per 100,000 live births (95% CI, 21.71, 28.38) in 1990 to 7.66 (3.90, 11.43) in 2021 across all age groups. Conversely, MMR due to indirect causes rose from 0.33 deaths per 100,000 live births (95% CI, -0.37, 1.03) in 1990 to 4.33 (3.43, 5.23) in 2021, with a more pronounced increase in advanced age groups. YLL due to MMR decreased from 866.00 (95% CI, 692.39, 1,039.60) in 1990 to 387.05 (182.82, 591.28) in 2021. Our analysis revealed negative correlations between MMR and the Human Development Index, Socio-demographic Index, and Universal Health Coverage Service Index. BAPC models predict a continued decrease in global MMR to 4.47 (4.07, 4.89) in 2030, 2.32 (1.82, 2.89) in 2040, and 1.25 (0.86, 1.81) in 2050. However, MMR due to indirect causes is projected to consistently increase. The global decrease in MMR from 1990 to 2021 can be primarily attributed to epidemiological changes.

conclusionThis study reveals a significant global decline in MMR since 1990, with projections indicating further decreases up to 2050, despite persistent increases in indirect causes and mortality among older age groups. These findings highlight the critical need for targeted strategies to address indirect causes and protect vulnerable populations.

Indexed as

Maternal MortalityAdolescentAdultBayes TheoremDatabases, FactualDeveloped CountriesFemaleGlobal HealthHumansMiddle AgedPregnancyWorld Health OrganizationYoung AdultGlobal TrendMaternal Mortality RatioPrediction ModelWHO Mortality Database

Identifiers

PMID40461138
PMCPMC12133601

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.