Cargando…
Risk factors for maternal death and trends in maternal mortality in low- and middle-income countries: a prospective longitudinal cohort analysis
BACKGROUND: Because large, prospective, population-based data sets describing maternal outcomes are typically not available in low- and middle-income countries, it is difficult to monitor maternal mortality rates over time and to identify factors associated with maternal mortality. Early identificat...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4464034/ https://www.ncbi.nlm.nih.gov/pubmed/26062992 http://dx.doi.org/10.1186/1742-4755-12-S2-S5 |
_version_ | 1782375878859161600 |
---|---|
author | Bauserman, Melissa Lokangaka, Adrien Thorsten, Vanessa Tshefu, Antoinette Goudar, Shivaprasad S Esamai, Fabian Garces, Ana Saleem, Sarah Pasha, Omrana Patel, Archana Manasyan, Albert Berrueta, Mabel Kodkany, Bhala Chomba, Elwyn Liechty, Edward A Hambidge, K Michael Krebs, Nancy F Derman, Richard J Hibberd, Patricia L Althabe, Fernando Carlo, Waldemar A Koso-Thomas, Marion Goldenberg, Robert L Wallace, Dennis D McClure, Elizabeth M Bose, Carl L |
author_facet | Bauserman, Melissa Lokangaka, Adrien Thorsten, Vanessa Tshefu, Antoinette Goudar, Shivaprasad S Esamai, Fabian Garces, Ana Saleem, Sarah Pasha, Omrana Patel, Archana Manasyan, Albert Berrueta, Mabel Kodkany, Bhala Chomba, Elwyn Liechty, Edward A Hambidge, K Michael Krebs, Nancy F Derman, Richard J Hibberd, Patricia L Althabe, Fernando Carlo, Waldemar A Koso-Thomas, Marion Goldenberg, Robert L Wallace, Dennis D McClure, Elizabeth M Bose, Carl L |
author_sort | Bauserman, Melissa |
collection | PubMed |
description | BACKGROUND: Because large, prospective, population-based data sets describing maternal outcomes are typically not available in low- and middle-income countries, it is difficult to monitor maternal mortality rates over time and to identify factors associated with maternal mortality. Early identification of risk factors is essential to develop comprehensive intervention strategies preventing pregnancy-related complications. Our objective was to describe maternal mortality rates in a large, multi-country dataset and to determine maternal, pregnancy-related, delivery and postpartum characteristics that are associated with maternal mortality. METHODS: We collected data describing all pregnancies from 2010 to 2013 among women enrolled in the multi-national Global Network for Women’s and Children’s Health Research Maternal and Neonatal Health Registry (MNHR). We reported the proportion of mothers who died per pregnancy and the maternal mortality ratio (MMR). Generalized linear models were used to evaluate the relationship of potential medical and social factors and maternal mortality and to develop point and interval estimates of relative risk associated with these factors. Generalized estimating equations were used to account for the correlation of outcomes within cluster to develop appropriate confidence intervals. RESULTS: We recorded 277,736 pregnancies and 402 maternal deaths for an MMR of 153/100,000 live births. We observed an improvement in the total MMR from 166 in 2010 to 126 in 2013. The MMR in Latin American sites (91) was lower than the MMR in Asian (178) and African sites (125). When adjusted for study site and the other variables, no formal education (RR 3.2 [1.5, 6.9]), primary education only (RR 3.4 [1.6, 7.5]), secondary education only (RR 2.5 [1.1, 5.7]), lack of antenatal care (RR 1.8 [1.2, 2.5]), caesarean section delivery (RR 1.9 [1.3, 2.8]), hemorrhage (RR 3.3 [2.2, 5.1]), and hypertensive disorders (RR 7.4 [5.2, 10.4]) were associated with higher risks of death. CONCLUSIONS: The MNHR identified preventable causes of maternal mortality in diverse settings in low- and middle-income countries. The MNHR can be used to monitor public health strategies and determine their association with reducing maternal mortality. TRIAL REGISTRATION: clinicaltrials.gov NCT01073475 |
format | Online Article Text |
id | pubmed-4464034 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-44640342015-06-29 Risk factors for maternal death and trends in maternal mortality in low- and middle-income countries: a prospective longitudinal cohort analysis Bauserman, Melissa Lokangaka, Adrien Thorsten, Vanessa Tshefu, Antoinette Goudar, Shivaprasad S Esamai, Fabian Garces, Ana Saleem, Sarah Pasha, Omrana Patel, Archana Manasyan, Albert Berrueta, Mabel Kodkany, Bhala Chomba, Elwyn Liechty, Edward A Hambidge, K Michael Krebs, Nancy F Derman, Richard J Hibberd, Patricia L Althabe, Fernando Carlo, Waldemar A Koso-Thomas, Marion Goldenberg, Robert L Wallace, Dennis D McClure, Elizabeth M Bose, Carl L Reprod Health Research BACKGROUND: Because large, prospective, population-based data sets describing maternal outcomes are typically not available in low- and middle-income countries, it is difficult to monitor maternal mortality rates over time and to identify factors associated with maternal mortality. Early identification of risk factors is essential to develop comprehensive intervention strategies preventing pregnancy-related complications. Our objective was to describe maternal mortality rates in a large, multi-country dataset and to determine maternal, pregnancy-related, delivery and postpartum characteristics that are associated with maternal mortality. METHODS: We collected data describing all pregnancies from 2010 to 2013 among women enrolled in the multi-national Global Network for Women’s and Children’s Health Research Maternal and Neonatal Health Registry (MNHR). We reported the proportion of mothers who died per pregnancy and the maternal mortality ratio (MMR). Generalized linear models were used to evaluate the relationship of potential medical and social factors and maternal mortality and to develop point and interval estimates of relative risk associated with these factors. Generalized estimating equations were used to account for the correlation of outcomes within cluster to develop appropriate confidence intervals. RESULTS: We recorded 277,736 pregnancies and 402 maternal deaths for an MMR of 153/100,000 live births. We observed an improvement in the total MMR from 166 in 2010 to 126 in 2013. The MMR in Latin American sites (91) was lower than the MMR in Asian (178) and African sites (125). When adjusted for study site and the other variables, no formal education (RR 3.2 [1.5, 6.9]), primary education only (RR 3.4 [1.6, 7.5]), secondary education only (RR 2.5 [1.1, 5.7]), lack of antenatal care (RR 1.8 [1.2, 2.5]), caesarean section delivery (RR 1.9 [1.3, 2.8]), hemorrhage (RR 3.3 [2.2, 5.1]), and hypertensive disorders (RR 7.4 [5.2, 10.4]) were associated with higher risks of death. CONCLUSIONS: The MNHR identified preventable causes of maternal mortality in diverse settings in low- and middle-income countries. The MNHR can be used to monitor public health strategies and determine their association with reducing maternal mortality. TRIAL REGISTRATION: clinicaltrials.gov NCT01073475 BioMed Central 2015-06-08 /pmc/articles/PMC4464034/ /pubmed/26062992 http://dx.doi.org/10.1186/1742-4755-12-S2-S5 Text en Copyright © 2015 Bauserman et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Bauserman, Melissa Lokangaka, Adrien Thorsten, Vanessa Tshefu, Antoinette Goudar, Shivaprasad S Esamai, Fabian Garces, Ana Saleem, Sarah Pasha, Omrana Patel, Archana Manasyan, Albert Berrueta, Mabel Kodkany, Bhala Chomba, Elwyn Liechty, Edward A Hambidge, K Michael Krebs, Nancy F Derman, Richard J Hibberd, Patricia L Althabe, Fernando Carlo, Waldemar A Koso-Thomas, Marion Goldenberg, Robert L Wallace, Dennis D McClure, Elizabeth M Bose, Carl L Risk factors for maternal death and trends in maternal mortality in low- and middle-income countries: a prospective longitudinal cohort analysis |
title | Risk factors for maternal death and trends in maternal mortality in low- and middle-income countries: a prospective longitudinal cohort analysis |
title_full | Risk factors for maternal death and trends in maternal mortality in low- and middle-income countries: a prospective longitudinal cohort analysis |
title_fullStr | Risk factors for maternal death and trends in maternal mortality in low- and middle-income countries: a prospective longitudinal cohort analysis |
title_full_unstemmed | Risk factors for maternal death and trends in maternal mortality in low- and middle-income countries: a prospective longitudinal cohort analysis |
title_short | Risk factors for maternal death and trends in maternal mortality in low- and middle-income countries: a prospective longitudinal cohort analysis |
title_sort | risk factors for maternal death and trends in maternal mortality in low- and middle-income countries: a prospective longitudinal cohort analysis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4464034/ https://www.ncbi.nlm.nih.gov/pubmed/26062992 http://dx.doi.org/10.1186/1742-4755-12-S2-S5 |
work_keys_str_mv | AT bausermanmelissa riskfactorsformaternaldeathandtrendsinmaternalmortalityinlowandmiddleincomecountriesaprospectivelongitudinalcohortanalysis AT lokangakaadrien riskfactorsformaternaldeathandtrendsinmaternalmortalityinlowandmiddleincomecountriesaprospectivelongitudinalcohortanalysis AT thorstenvanessa riskfactorsformaternaldeathandtrendsinmaternalmortalityinlowandmiddleincomecountriesaprospectivelongitudinalcohortanalysis AT tshefuantoinette riskfactorsformaternaldeathandtrendsinmaternalmortalityinlowandmiddleincomecountriesaprospectivelongitudinalcohortanalysis AT goudarshivaprasads riskfactorsformaternaldeathandtrendsinmaternalmortalityinlowandmiddleincomecountriesaprospectivelongitudinalcohortanalysis AT esamaifabian riskfactorsformaternaldeathandtrendsinmaternalmortalityinlowandmiddleincomecountriesaprospectivelongitudinalcohortanalysis AT garcesana riskfactorsformaternaldeathandtrendsinmaternalmortalityinlowandmiddleincomecountriesaprospectivelongitudinalcohortanalysis AT saleemsarah riskfactorsformaternaldeathandtrendsinmaternalmortalityinlowandmiddleincomecountriesaprospectivelongitudinalcohortanalysis AT pashaomrana riskfactorsformaternaldeathandtrendsinmaternalmortalityinlowandmiddleincomecountriesaprospectivelongitudinalcohortanalysis AT patelarchana riskfactorsformaternaldeathandtrendsinmaternalmortalityinlowandmiddleincomecountriesaprospectivelongitudinalcohortanalysis AT manasyanalbert riskfactorsformaternaldeathandtrendsinmaternalmortalityinlowandmiddleincomecountriesaprospectivelongitudinalcohortanalysis AT berruetamabel riskfactorsformaternaldeathandtrendsinmaternalmortalityinlowandmiddleincomecountriesaprospectivelongitudinalcohortanalysis AT kodkanybhala riskfactorsformaternaldeathandtrendsinmaternalmortalityinlowandmiddleincomecountriesaprospectivelongitudinalcohortanalysis AT chombaelwyn riskfactorsformaternaldeathandtrendsinmaternalmortalityinlowandmiddleincomecountriesaprospectivelongitudinalcohortanalysis AT liechtyedwarda riskfactorsformaternaldeathandtrendsinmaternalmortalityinlowandmiddleincomecountriesaprospectivelongitudinalcohortanalysis AT hambidgekmichael riskfactorsformaternaldeathandtrendsinmaternalmortalityinlowandmiddleincomecountriesaprospectivelongitudinalcohortanalysis AT krebsnancyf riskfactorsformaternaldeathandtrendsinmaternalmortalityinlowandmiddleincomecountriesaprospectivelongitudinalcohortanalysis AT dermanrichardj riskfactorsformaternaldeathandtrendsinmaternalmortalityinlowandmiddleincomecountriesaprospectivelongitudinalcohortanalysis AT hibberdpatricial riskfactorsformaternaldeathandtrendsinmaternalmortalityinlowandmiddleincomecountriesaprospectivelongitudinalcohortanalysis AT althabefernando riskfactorsformaternaldeathandtrendsinmaternalmortalityinlowandmiddleincomecountriesaprospectivelongitudinalcohortanalysis AT carlowaldemara riskfactorsformaternaldeathandtrendsinmaternalmortalityinlowandmiddleincomecountriesaprospectivelongitudinalcohortanalysis AT kosothomasmarion riskfactorsformaternaldeathandtrendsinmaternalmortalityinlowandmiddleincomecountriesaprospectivelongitudinalcohortanalysis AT goldenbergrobertl riskfactorsformaternaldeathandtrendsinmaternalmortalityinlowandmiddleincomecountriesaprospectivelongitudinalcohortanalysis AT wallacedennisd riskfactorsformaternaldeathandtrendsinmaternalmortalityinlowandmiddleincomecountriesaprospectivelongitudinalcohortanalysis AT mcclureelizabethm riskfactorsformaternaldeathandtrendsinmaternalmortalityinlowandmiddleincomecountriesaprospectivelongitudinalcohortanalysis AT bosecarll riskfactorsformaternaldeathandtrendsinmaternalmortalityinlowandmiddleincomecountriesaprospectivelongitudinalcohortanalysis |