Evidence map›Paper›PMID 38070536›Full record

ReviewThe Lancet. Global health2024

A global analysis of the determinants of maternal health and transitions in maternal mortality.

João Paulo Souza, Louise Tina Day, Ana Clara Rezende-Gomes, Jun Zhang, Rintaro Mori, Adama Baguiya, Kapila Jayaratne, Alfred Osoti, Joshua P Vogel, Oona Campbell and 7 more

Abstract readReview
PubMed Publisher
In one paragraph

Review in The Lancet. Global health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 204 papers, 13 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
204citing papers in PubMed, 13 pooled it
–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

204 citing papers in PubMed, 13 syntheses or guidelines pooled it.

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  8. Blood pressure-lowering treatment for pregnant women with non-severe hypertension: a systematic review and meta-analysis.Hypertension research : official journal of the Japanese Society of Hypertension · 2025
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  19. Promotion of long-term health in early life.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  20. Machine Learning Analysis of Maternal Mortality Determinants in Nigeria: An Exploratory Study.The International journal of health planning and management · 2026
    Article

144 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors.

João Paulo SouzaDepartment of Social Medicine, Ribeirao Preto Medical School, University of São Paulo, São Paulo, Brazil; BIREME, Department of Evidence and Intelligence for Action in Health, Pan American Health Organization (PAHO)-World Health Organization Americas Regional Office, São Paulo, Brazil. Electronic address: jp.souza@usp.br.
Louise Tina DayDepartment of Infectious Disease Epidemiology and International Health, London School of Hygiene & Tropical Medicine, London, UK.
Ana Clara Rezende-GomesDepartment of Social Medicine, Ribeirao Preto Medical School, University of São Paulo, São Paulo, Brazil.
Jun ZhangMinistry of Education and Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Rintaro MoriGraduate School of Medicine, Kyoto University, Kyoto, Japan.
Adama BaguiyaKaya Health and Demographic Surveillance System (Kaya-HDSS), Research Institute for Health Sciences (IRSS), Ouagadougou, Burkina Faso.
Kapila JayaratneFamily Health Bureau, Ministry of Health, Colombo, Sri Lanka.
Alfred OsotiDepartment of Obstetrics, University of Nairobi, Nairobi, Kenya; Department of Global Health, University of Washington, Seattle, WA, USA.
Joshua P VogelMaternal, Child and Adolescent Health Program, Burnet Institute, Melbourne, VIC, Australia.
Oona CampbellDepartment of Infectious Disease Epidemiology and International Health, London School of Hygiene & Tropical Medicine, London, UK.
Kidza Y MugerwaDepartment of Obstetrics and Gynecology, Makerere University, Kampala, Uganda.
Pisake LumbiganonDepartment of Obstetrics & Gynecology, Khon Kaen University, Khon Kaen, Thailand.
Özge TunçalpUNDP-UNFPA-UNICEF-WHO-World Bank Special Programme of Research, Development and Research Training in Human Reproduction (HRP), Department of Sexual and Reproductive Health and Research, World Health Organization, Geneva, Switzerland.
Jenny CresswellUNDP-UNFPA-UNICEF-WHO-World Bank Special Programme of Research, Development and Research Training in Human Reproduction (HRP), Department of Sexual and Reproductive Health and Research, World Health Organization, Geneva, Switzerland.
Lale SayUNDP-UNFPA-UNICEF-WHO-World Bank Special Programme of Research, Development and Research Training in Human Reproduction (HRP), Department of Sexual and Reproductive Health and Research, World Health Organization, Geneva, Switzerland.
Allisyn Carol MoranDepartment of Maternal, Newborn, Child, Adolescent Health and Ageing, World Health Organization, Geneva, Switzerland.
Olufemi T OladapoUNDP-UNFPA-UNICEF-WHO-World Bank Special Programme of Research, Development and Research Training in Human Reproduction (HRP), Department of Sexual and Reproductive Health and Research, World Health Organization, Geneva, Switzerland.

Funding

World Health Organization 001
6 · The paper itself

Abstract

The reduction of maternal mortality and the promotion of maternal health and wellbeing are complex tasks. This Series paper analyses the distal and proximal determinants of maternal health, as well as the exposures, risk factors, and micro-correlates related to maternal mortality. This paper also examines the relationship between these determinants and the gradual shift over time from a pattern of high maternal mortality to a pattern of low maternal mortality (a phenomenon described as the maternal mortality transition). We conducted two systematic reviews of the literature and we analysed publicly available data on indicators related to the Sustainable Development Goals, specifically, estimates prepared by international organisations, including the UN and the World Bank. We considered 23 frameworks depicting maternal health and wellbeing as a multifactorial process, with superdeterminants that broadly affect women's health and wellbeing before, during, and after pregnancy. We explore the role of social determinants of maternal health, individual characteristics, and health-system features in the production of maternal health and wellbeing. This paper argues that the preventable deaths of millions of women each decade are not solely due to biomedical complications of pregnancy, childbirth, and the postnatal period, but are also tangible manifestations of the prevailing determinants of maternal health and persistent inequities in global health and socioeconomic development. This paper underscores the need for broader, multipronged actions to improve maternal health and wellbeing and accelerate sustainable reductions in maternal mortality. For women who have pregnancy, childbirth, or postpartum complications, the health system provides a crucial opportunity to interrupt the chain of events that can potentially end in maternal death. Ultimately, expanding the health sector ecosystem to mitigate maternal health determinants and tailoring the configuration of health systems to counter the detrimental effects of eco-social forces, including though increased access to quality-assured commodities and services, are essential to improve maternal health and wellbeing and reduce maternal mortality.

Indexed as

Maternal HealthMaternal Health ServicesEcosystemFemaleHumansMaternal MortalityPregnancyWomen's Health

Identifiers

What OpenQuestion holds

Textmetadata
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.