Cargando…
Substantial increase in stillbirth rate during the COVID-19 pandemic: results from a population-based study in the Indian state of Bihar
INTRODUCTION: We report on the stillbirth rate (SBR) and associated risk factors for births during the COVID-19 pandemic, and change in SBR between prepandemic (2016) and pandemic periods in the Indian state of Bihar. METHODS: Births between July 2020 and June 2021 (91.5% participation) representati...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10373740/ https://www.ncbi.nlm.nih.gov/pubmed/37491108 http://dx.doi.org/10.1136/bmjgh-2023-013021 |
_version_ | 1785078624808861696 |
---|---|
author | Dandona, Rakhi Kumar, G Anil Akbar, Md Dora, S Siva Prasad Dandona, Lalit |
author_facet | Dandona, Rakhi Kumar, G Anil Akbar, Md Dora, S Siva Prasad Dandona, Lalit |
author_sort | Dandona, Rakhi |
collection | PubMed |
description | INTRODUCTION: We report on the stillbirth rate (SBR) and associated risk factors for births during the COVID-19 pandemic, and change in SBR between prepandemic (2016) and pandemic periods in the Indian state of Bihar. METHODS: Births between July 2020 and June 2021 (91.5% participation) representative of Bihar were listed. Stillbirth was defined as fetal death with gestation period of ≥7 months where the fetus did not show any sign of life. Detailed interviews were conducted for all stillbirths and neonatal deaths, and for 25% random sample of surviving live births. We estimated overall SBR, and during COVID-19 peak and non-peak periods per 1000 births. Multiple logistic regression models were run to assess risk factors for stillbirth. The change in SBR for Bihar from 2016 to 2020–2021 was estimated. RESULTS: We identified 582 stillbirths in 30 412 births with an estimated SBR of 19.1 per 1000 births (95% CI 17.7 to 20.7); SBR was significantly higher in private facility (38.4; 95% CI 34.3 to 43.0) than in public facility (8.6; 95% CI 7.3 to 10.1) births, and for COVID-19 peak (21.2; 95% CI 19.2 to 23.4) than non-peak period (16.3; 95% CI 14.2 to 18.6) births. Pregnancies with the last pregnancy trimester during the COVID-19 peak period had 40.4% (95% CI 10.3% to 70.4%) higher SBR than those who did not. Risk factor associations for stillbirths were similar between the COVID-19 peak and non-peak periods, with gestation age of <8 months with the highest odds of stillbirth followed by referred deliveries and deliveries in private health facilities. A statistically significant increase of 24.3% and 68.9% in overall SBR and intrapartum SBR was seen between 2016 and 2020–2021, respectively. CONCLUSIONS: This study documented an increase in SBR during the COVID-19 pandemic as compared with the prepandemic period, and the varied SBR based on the intensity of the COVID-19 pandemic and by the place of delivery. |
format | Online Article Text |
id | pubmed-10373740 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-103737402023-07-28 Substantial increase in stillbirth rate during the COVID-19 pandemic: results from a population-based study in the Indian state of Bihar Dandona, Rakhi Kumar, G Anil Akbar, Md Dora, S Siva Prasad Dandona, Lalit BMJ Glob Health Original Research INTRODUCTION: We report on the stillbirth rate (SBR) and associated risk factors for births during the COVID-19 pandemic, and change in SBR between prepandemic (2016) and pandemic periods in the Indian state of Bihar. METHODS: Births between July 2020 and June 2021 (91.5% participation) representative of Bihar were listed. Stillbirth was defined as fetal death with gestation period of ≥7 months where the fetus did not show any sign of life. Detailed interviews were conducted for all stillbirths and neonatal deaths, and for 25% random sample of surviving live births. We estimated overall SBR, and during COVID-19 peak and non-peak periods per 1000 births. Multiple logistic regression models were run to assess risk factors for stillbirth. The change in SBR for Bihar from 2016 to 2020–2021 was estimated. RESULTS: We identified 582 stillbirths in 30 412 births with an estimated SBR of 19.1 per 1000 births (95% CI 17.7 to 20.7); SBR was significantly higher in private facility (38.4; 95% CI 34.3 to 43.0) than in public facility (8.6; 95% CI 7.3 to 10.1) births, and for COVID-19 peak (21.2; 95% CI 19.2 to 23.4) than non-peak period (16.3; 95% CI 14.2 to 18.6) births. Pregnancies with the last pregnancy trimester during the COVID-19 peak period had 40.4% (95% CI 10.3% to 70.4%) higher SBR than those who did not. Risk factor associations for stillbirths were similar between the COVID-19 peak and non-peak periods, with gestation age of <8 months with the highest odds of stillbirth followed by referred deliveries and deliveries in private health facilities. A statistically significant increase of 24.3% and 68.9% in overall SBR and intrapartum SBR was seen between 2016 and 2020–2021, respectively. CONCLUSIONS: This study documented an increase in SBR during the COVID-19 pandemic as compared with the prepandemic period, and the varied SBR based on the intensity of the COVID-19 pandemic and by the place of delivery. BMJ Publishing Group 2023-07-25 /pmc/articles/PMC10373740/ /pubmed/37491108 http://dx.doi.org/10.1136/bmjgh-2023-013021 Text en © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Original Research Dandona, Rakhi Kumar, G Anil Akbar, Md Dora, S Siva Prasad Dandona, Lalit Substantial increase in stillbirth rate during the COVID-19 pandemic: results from a population-based study in the Indian state of Bihar |
title | Substantial increase in stillbirth rate during the COVID-19 pandemic: results from a population-based study in the Indian state of Bihar |
title_full | Substantial increase in stillbirth rate during the COVID-19 pandemic: results from a population-based study in the Indian state of Bihar |
title_fullStr | Substantial increase in stillbirth rate during the COVID-19 pandemic: results from a population-based study in the Indian state of Bihar |
title_full_unstemmed | Substantial increase in stillbirth rate during the COVID-19 pandemic: results from a population-based study in the Indian state of Bihar |
title_short | Substantial increase in stillbirth rate during the COVID-19 pandemic: results from a population-based study in the Indian state of Bihar |
title_sort | substantial increase in stillbirth rate during the covid-19 pandemic: results from a population-based study in the indian state of bihar |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10373740/ https://www.ncbi.nlm.nih.gov/pubmed/37491108 http://dx.doi.org/10.1136/bmjgh-2023-013021 |
work_keys_str_mv | AT dandonarakhi substantialincreaseinstillbirthrateduringthecovid19pandemicresultsfromapopulationbasedstudyintheindianstateofbihar AT kumarganil substantialincreaseinstillbirthrateduringthecovid19pandemicresultsfromapopulationbasedstudyintheindianstateofbihar AT akbarmd substantialincreaseinstillbirthrateduringthecovid19pandemicresultsfromapopulationbasedstudyintheindianstateofbihar AT dorassivaprasad substantialincreaseinstillbirthrateduringthecovid19pandemicresultsfromapopulationbasedstudyintheindianstateofbihar AT dandonalalit substantialincreaseinstillbirthrateduringthecovid19pandemicresultsfromapopulationbasedstudyintheindianstateofbihar AT substantialincreaseinstillbirthrateduringthecovid19pandemicresultsfromapopulationbasedstudyintheindianstateofbihar |