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Risk factors of stillbirths in four district hospitals on Pemba Island, Tanzania: a prospective cohort study

BACKGROUND: More than 2 million third-trimester stillbirths occur yearly, most of them in low- and middle-income countries. Data on stillbirths in these countries are rarely collected systematically. This study investigated the stillbirth rate and risk factors associated with stillbirth in four dist...

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Autores principales: Skytte, Tine Bruhn, Holm-Hansen, Charlotte Carina, Ali, Said Mouhammed, Ame, Shaali, Molenaar, Jil, Greisen, Gorm, Poulsen, Anja, Sorensen, Jette Led, Lund, Stine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10131471/
https://www.ncbi.nlm.nih.gov/pubmed/37101264
http://dx.doi.org/10.1186/s12884-023-05613-6
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author Skytte, Tine Bruhn
Holm-Hansen, Charlotte Carina
Ali, Said Mouhammed
Ame, Shaali
Molenaar, Jil
Greisen, Gorm
Poulsen, Anja
Sorensen, Jette Led
Lund, Stine
author_facet Skytte, Tine Bruhn
Holm-Hansen, Charlotte Carina
Ali, Said Mouhammed
Ame, Shaali
Molenaar, Jil
Greisen, Gorm
Poulsen, Anja
Sorensen, Jette Led
Lund, Stine
author_sort Skytte, Tine Bruhn
collection PubMed
description BACKGROUND: More than 2 million third-trimester stillbirths occur yearly, most of them in low- and middle-income countries. Data on stillbirths in these countries are rarely collected systematically. This study investigated the stillbirth rate and risk factors associated with stillbirth in four district hospitals in Pemba Island, Tanzania. METHODS: A prospective cohort study was completed between the 13th of September and the 29th of November 2019. All singleton births were eligible for inclusion. Events and history during pregnancy and indicators for adherence to guidelines were analysed in a logistic regression model that identified odds ratios [OR] with a 95% confidence interval [95% CI]. RESULTS: A stillbirth rate of 22 per 1000 total births in the cohort was identified; 35.5% were intrapartum stillbirths (total number of stillbirths in the cohort, n = 31). Risk factors for stillbirth were breech or cephalic malpresentation (OR 17.67, CI 7.5-41.64), decreased or no foetal movements (OR 2.6, CI 1.13–5.98), caesarean section [CS] (OR 5.19, CI 2.32–11.62), previous CS (OR 2.63, CI 1.05–6.59), preeclampsia (OR 21.54, CI 5.28–87.8), premature rupture of membranes or rupture of membranes 18 h before birth (OR 2.5, CI 1.06–5.94) and meconium stained amniotic fluid (OR 12.03, CI 5.23–27.67). Blood pressure was not routinely measured, and 25% of women with stillbirths with no registered foetal heart rate [FHR] at admission underwent CS. CONCLUSIONS: The stillbirth rate in this cohort was 22 per 1000 total births and did not fulfil the Every Newborn Action Plan’s goal of 12 stillbirths per 1000 total births in 2030. Awareness of risk factors associated with stillbirth, preventive interventions and improved adherence to clinical guidelines during labour, and hence improved quality of care, are needed to decrease the stillbirth rate in resource-limited settings. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12884-023-05613-6.
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spelling pubmed-101314712023-04-27 Risk factors of stillbirths in four district hospitals on Pemba Island, Tanzania: a prospective cohort study Skytte, Tine Bruhn Holm-Hansen, Charlotte Carina Ali, Said Mouhammed Ame, Shaali Molenaar, Jil Greisen, Gorm Poulsen, Anja Sorensen, Jette Led Lund, Stine BMC Pregnancy Childbirth Research BACKGROUND: More than 2 million third-trimester stillbirths occur yearly, most of them in low- and middle-income countries. Data on stillbirths in these countries are rarely collected systematically. This study investigated the stillbirth rate and risk factors associated with stillbirth in four district hospitals in Pemba Island, Tanzania. METHODS: A prospective cohort study was completed between the 13th of September and the 29th of November 2019. All singleton births were eligible for inclusion. Events and history during pregnancy and indicators for adherence to guidelines were analysed in a logistic regression model that identified odds ratios [OR] with a 95% confidence interval [95% CI]. RESULTS: A stillbirth rate of 22 per 1000 total births in the cohort was identified; 35.5% were intrapartum stillbirths (total number of stillbirths in the cohort, n = 31). Risk factors for stillbirth were breech or cephalic malpresentation (OR 17.67, CI 7.5-41.64), decreased or no foetal movements (OR 2.6, CI 1.13–5.98), caesarean section [CS] (OR 5.19, CI 2.32–11.62), previous CS (OR 2.63, CI 1.05–6.59), preeclampsia (OR 21.54, CI 5.28–87.8), premature rupture of membranes or rupture of membranes 18 h before birth (OR 2.5, CI 1.06–5.94) and meconium stained amniotic fluid (OR 12.03, CI 5.23–27.67). Blood pressure was not routinely measured, and 25% of women with stillbirths with no registered foetal heart rate [FHR] at admission underwent CS. CONCLUSIONS: The stillbirth rate in this cohort was 22 per 1000 total births and did not fulfil the Every Newborn Action Plan’s goal of 12 stillbirths per 1000 total births in 2030. Awareness of risk factors associated with stillbirth, preventive interventions and improved adherence to clinical guidelines during labour, and hence improved quality of care, are needed to decrease the stillbirth rate in resource-limited settings. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12884-023-05613-6. BioMed Central 2023-04-26 /pmc/articles/PMC10131471/ /pubmed/37101264 http://dx.doi.org/10.1186/s12884-023-05613-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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
Skytte, Tine Bruhn
Holm-Hansen, Charlotte Carina
Ali, Said Mouhammed
Ame, Shaali
Molenaar, Jil
Greisen, Gorm
Poulsen, Anja
Sorensen, Jette Led
Lund, Stine
Risk factors of stillbirths in four district hospitals on Pemba Island, Tanzania: a prospective cohort study
title Risk factors of stillbirths in four district hospitals on Pemba Island, Tanzania: a prospective cohort study
title_full Risk factors of stillbirths in four district hospitals on Pemba Island, Tanzania: a prospective cohort study
title_fullStr Risk factors of stillbirths in four district hospitals on Pemba Island, Tanzania: a prospective cohort study
title_full_unstemmed Risk factors of stillbirths in four district hospitals on Pemba Island, Tanzania: a prospective cohort study
title_short Risk factors of stillbirths in four district hospitals on Pemba Island, Tanzania: a prospective cohort study
title_sort risk factors of stillbirths in four district hospitals on pemba island, tanzania: a prospective cohort study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10131471/
https://www.ncbi.nlm.nih.gov/pubmed/37101264
http://dx.doi.org/10.1186/s12884-023-05613-6
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