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Institutional deliveries and stillbirth and neonatal mortality in the Global Network's Maternal and Newborn Health Registry

BACKGROUND: Few studies have shown how the move toward institutional delivery in low and middle-income countries (LMIC) impacts stillbirth and newborn mortality. OBJECTIVES: The study evaluated trends in institutional delivery in research sites in Belagavi and Nagpur India, Guatemala, Kenya, Pakista...

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Autores principales: Goudar, Shivaprasad S., Goco, Norman, Somannavar, Manjunath S., Kavi, Avinash, Vernekar, Sunil S., Tshefu, Antoinette, Chomba, Elwyn, Garces, Ana L., Saleem, Sarah, Naqvi, Farnaz, Patel, Archana, Esamai, Fabian, Bose, Carl L., Carlo, Waldemar A., Krebs, Nancy F., Hibberd, Patricia L., Liechty, Edward A., Koso-Thomas, Marion, Nolen, Tracy L., Moore, Janet, Iyer, Pooja, McClure, Elizabeth M., Goldenberg, Robert L., Derman, Richard J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7745350/
https://www.ncbi.nlm.nih.gov/pubmed/33334337
http://dx.doi.org/10.1186/s12978-020-01001-x
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author Goudar, Shivaprasad S.
Goco, Norman
Somannavar, Manjunath S.
Kavi, Avinash
Vernekar, Sunil S.
Tshefu, Antoinette
Chomba, Elwyn
Garces, Ana L.
Saleem, Sarah
Naqvi, Farnaz
Patel, Archana
Esamai, Fabian
Bose, Carl L.
Carlo, Waldemar A.
Krebs, Nancy F.
Hibberd, Patricia L.
Liechty, Edward A.
Koso-Thomas, Marion
Nolen, Tracy L.
Moore, Janet
Iyer, Pooja
McClure, Elizabeth M.
Goldenberg, Robert L.
Derman, Richard J.
author_facet Goudar, Shivaprasad S.
Goco, Norman
Somannavar, Manjunath S.
Kavi, Avinash
Vernekar, Sunil S.
Tshefu, Antoinette
Chomba, Elwyn
Garces, Ana L.
Saleem, Sarah
Naqvi, Farnaz
Patel, Archana
Esamai, Fabian
Bose, Carl L.
Carlo, Waldemar A.
Krebs, Nancy F.
Hibberd, Patricia L.
Liechty, Edward A.
Koso-Thomas, Marion
Nolen, Tracy L.
Moore, Janet
Iyer, Pooja
McClure, Elizabeth M.
Goldenberg, Robert L.
Derman, Richard J.
author_sort Goudar, Shivaprasad S.
collection PubMed
description BACKGROUND: Few studies have shown how the move toward institutional delivery in low and middle-income countries (LMIC) impacts stillbirth and newborn mortality. OBJECTIVES: The study evaluated trends in institutional delivery in research sites in Belagavi and Nagpur India, Guatemala, Kenya, Pakistan, and Zambia from 2010 to 2018 and compared them to changes in the rates of neonatal mortality and stillbirth. METHODS: We analyzed data from a nine-year interval captured in the Global Network (GN) Maternal Newborn Health Registry (MNHR). Mortality rates were estimated from generalized estimating equations controlling for within-cluster correlation. Cluster-level analyses were performed to assess the association between institutional delivery and mortality rates. RESULTS: From 2010 to 2018, a total of 413,377 deliveries in 80 clusters across 6 sites in 5 countries were included in these analyses. An increase in the proportion of institutional deliveries occurred in all sites, with a range in 2018 from 57.7 to 99.8%. In 2010, the stillbirth rates ranged from 19.3 per 1000 births in the Kenyan site to 46.2 per 1000 births in the Pakistani site and by 2018, ranged from 9.7 per 1000 births in the Belagavi, India site to 40.8 per 1000 births in the Pakistani site. The 2010 neonatal mortality rates ranged from 19.0 per 1000 live births in the Kenyan site to 51.3 per 1000 live births in the Pakistani site with the 2018 neonatal mortality rates ranging from 9.2 per 1000 live births in the Zambian site to 50.2 per 1000 live births in the Pakistani site. In multivariate modeling, in some but not all sites, the reductions in stillbirth and neonatal death were significantly associated with an increase in the institutional deliveries. CONCLUSIONS: There was an increase in institutional delivery rates in all sites and a reduction in stillbirth and neonatal mortality rates in some of the GN sites over the past decade. The relationship between institutional delivery and a decrease in mortality was significant in some but not all sites. However, the stillbirth and neonatal mortality rates remain at high levels. Understanding the relationship between institutional delivery and stillbirth and neonatal deaths in resource-limited environments will enable development of targeted interventions for reducing the mortality burden. TRIAL REGISTRATION: The study is registered at clinicaltrials.gov. ClinicalTrial.gov Trial Registration: NCT01073475.
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spelling pubmed-77453502020-12-18 Institutional deliveries and stillbirth and neonatal mortality in the Global Network's Maternal and Newborn Health Registry Goudar, Shivaprasad S. Goco, Norman Somannavar, Manjunath S. Kavi, Avinash Vernekar, Sunil S. Tshefu, Antoinette Chomba, Elwyn Garces, Ana L. Saleem, Sarah Naqvi, Farnaz Patel, Archana Esamai, Fabian Bose, Carl L. Carlo, Waldemar A. Krebs, Nancy F. Hibberd, Patricia L. Liechty, Edward A. Koso-Thomas, Marion Nolen, Tracy L. Moore, Janet Iyer, Pooja McClure, Elizabeth M. Goldenberg, Robert L. Derman, Richard J. Reprod Health Research BACKGROUND: Few studies have shown how the move toward institutional delivery in low and middle-income countries (LMIC) impacts stillbirth and newborn mortality. OBJECTIVES: The study evaluated trends in institutional delivery in research sites in Belagavi and Nagpur India, Guatemala, Kenya, Pakistan, and Zambia from 2010 to 2018 and compared them to changes in the rates of neonatal mortality and stillbirth. METHODS: We analyzed data from a nine-year interval captured in the Global Network (GN) Maternal Newborn Health Registry (MNHR). Mortality rates were estimated from generalized estimating equations controlling for within-cluster correlation. Cluster-level analyses were performed to assess the association between institutional delivery and mortality rates. RESULTS: From 2010 to 2018, a total of 413,377 deliveries in 80 clusters across 6 sites in 5 countries were included in these analyses. An increase in the proportion of institutional deliveries occurred in all sites, with a range in 2018 from 57.7 to 99.8%. In 2010, the stillbirth rates ranged from 19.3 per 1000 births in the Kenyan site to 46.2 per 1000 births in the Pakistani site and by 2018, ranged from 9.7 per 1000 births in the Belagavi, India site to 40.8 per 1000 births in the Pakistani site. The 2010 neonatal mortality rates ranged from 19.0 per 1000 live births in the Kenyan site to 51.3 per 1000 live births in the Pakistani site with the 2018 neonatal mortality rates ranging from 9.2 per 1000 live births in the Zambian site to 50.2 per 1000 live births in the Pakistani site. In multivariate modeling, in some but not all sites, the reductions in stillbirth and neonatal death were significantly associated with an increase in the institutional deliveries. CONCLUSIONS: There was an increase in institutional delivery rates in all sites and a reduction in stillbirth and neonatal mortality rates in some of the GN sites over the past decade. The relationship between institutional delivery and a decrease in mortality was significant in some but not all sites. However, the stillbirth and neonatal mortality rates remain at high levels. Understanding the relationship between institutional delivery and stillbirth and neonatal deaths in resource-limited environments will enable development of targeted interventions for reducing the mortality burden. TRIAL REGISTRATION: The study is registered at clinicaltrials.gov. ClinicalTrial.gov Trial Registration: NCT01073475. BioMed Central 2020-12-17 /pmc/articles/PMC7745350/ /pubmed/33334337 http://dx.doi.org/10.1186/s12978-020-01001-x Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.
spellingShingle Research
Goudar, Shivaprasad S.
Goco, Norman
Somannavar, Manjunath S.
Kavi, Avinash
Vernekar, Sunil S.
Tshefu, Antoinette
Chomba, Elwyn
Garces, Ana L.
Saleem, Sarah
Naqvi, Farnaz
Patel, Archana
Esamai, Fabian
Bose, Carl L.
Carlo, Waldemar A.
Krebs, Nancy F.
Hibberd, Patricia L.
Liechty, Edward A.
Koso-Thomas, Marion
Nolen, Tracy L.
Moore, Janet
Iyer, Pooja
McClure, Elizabeth M.
Goldenberg, Robert L.
Derman, Richard J.
Institutional deliveries and stillbirth and neonatal mortality in the Global Network's Maternal and Newborn Health Registry
title Institutional deliveries and stillbirth and neonatal mortality in the Global Network's Maternal and Newborn Health Registry
title_full Institutional deliveries and stillbirth and neonatal mortality in the Global Network's Maternal and Newborn Health Registry
title_fullStr Institutional deliveries and stillbirth and neonatal mortality in the Global Network's Maternal and Newborn Health Registry
title_full_unstemmed Institutional deliveries and stillbirth and neonatal mortality in the Global Network's Maternal and Newborn Health Registry
title_short Institutional deliveries and stillbirth and neonatal mortality in the Global Network's Maternal and Newborn Health Registry
title_sort institutional deliveries and stillbirth and neonatal mortality in the global network's maternal and newborn health registry
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7745350/
https://www.ncbi.nlm.nih.gov/pubmed/33334337
http://dx.doi.org/10.1186/s12978-020-01001-x
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