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How effective is antenatal care in preventing maternal mortality and serious morbidity? An overview of the evidence.
Open accessAbstract
This is an overview of evidence of the effectiveness of antenatal care in relation to maternal mortality and serious morbidity, focused in particular on developing countries. It concentrates on the major causes of maternal mortality, and traces their antecedent morbidities and risk factors in pregnancy. It also includes interventions aimed at preventing, detecting or treating any stage along this pathway during pregnancy. This is an updated and expanded version of a review first published by the World Health Organization (WHO) in 1992. The scientific evidence from randomised controlled trials and other types of intervention or observational study on the effectiveness of these interventions is reviewed critically. The sources and quality of available data, and possible biases in their collection or interpretation are considered. As in other areas of maternal health, good‐quality evidence is scarce and, just as in many aspects of health care generally, there are interventions in current practice that have not been subjected to rigorous evaluation. A table of antenatal interventions of proven effectiveness in conditions that can lead to maternal mortality or serious morbidity is presented. Interventions for which there is some promising evidence, short of proof, of effectiveness are explored, and the outstanding questions formulated. These are presented in a series of tables with suggestions about the types of study needed to answer them.
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Strategies for reducing maternal mortality: getting on with what works
Campbell, O. M., & Graham, W. J. (2006) · The Lancet · doi:10.1016/s0140-6736(06)69381-1 · Cited by 1,785
Mobile phones improve antenatal care attendance in Zanzibar: a cluster randomized controlled trial
Lund, S., Nielsen, B. B., Hemed, M., Boas, I. M., Said, A., Said, K., Makungu, M. H., & Rasch, V. (2014) · BMC Pregnancy and Childbirth · doi:10.1186/1471-2393-14-29 · Cited by 301
Assistência pré-natal no Brasil
Viellas, E. F., Domingues, R. M. S. M., Dias, M. A. B., Gama, S. G. N. D., Theme Filha, M. M., Costa, J. V. D., Bastos, M. H., & Leal, M. D. C. (2014) · Cadernos de Saúde Pública · doi:10.1590/0102-311x00126013 · Cited by 480
Serruya, S. J., Cecatti, J. G., & Lago, T. D. G. D. (2004) · Cadernos de Saúde Pública · doi:10.1590/s0102-311x2004000500022 · Cited by 175
An assessment of antenatal care among Syrian refugees in Lebanon
Benage, M., Greenough, P. G., Vinck, P., Omeira, N., & Pham, P. (2015) · Conflict and Health · doi:10.1186/s13031-015-0035-8 · Cited by 116
Metadata
- Authors
- Carroli, G., Rooney, C., & Villar, J.
- Affiliations
- Centro Rosarino de Estudios Perinatales (AR)
- World Health Organization (CH)
- ORCID
- Villar, J.
- Venue
- Paediatric and Perinatal Epidemiology
- Publisher
- Wiley
- Published
- 2001-01
- Volume
- 15
- Issue
- s1
- Pages
- 1-42
- ISSN
- 0269-5022 (ISSN-L)
- 1365-3016
- OpenAlex
- W1972935321
- Cited by
- 622
- References
- 218
- Citations by year
- 2026: 21 · 2025: 23 · 2024: 22 · 2023: 38 · 2022: 43 · 2021: 40 · 2020: 35 · 2019: 36 · 2018: 34 · 2017: 30 · 2016: 23 · 2015: 32 · 2014: 25 · 2013: 32 · 2012: 22
- FWCI
- 12.65
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Paediatric and Perinatal Epidemiology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- World Health Organization
- Topics
- Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Global Maternal and Child Health
- Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Maternal and fetal healthcare
- Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Maternal and Neonatal Healthcare
- Keywords
- prenatal care, maternal mortality, maternal morbidity, pregnancy risk factors, antenatal interventions, developing countries, quality of evidence, research gaps
- MeSH terms
- Female, Humans, Maternal Mortality, Pregnancy, Pregnancy Complications, Prenatal Care, Global Health, World Health Organization, Evidence-Based Medicine
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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