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Impact of COVID-19 mitigation measures on the incidence of preterm birth: a national quasi-experimental study

BACKGROUND: Preterm birth is the leading cause of child mortality globally, with many survivors experiencing long-term adverse consequences. Preliminary evidence suggests that numbers of preterm births greatly reduced following implementation of policy measures aimed at mitigating the effects of the...

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Autores principales: Been, Jasper V, Burgos Ochoa, Lizbeth, Bertens, Loes C M, Schoenmakers, Sam, Steegers, Eric A P, Reiss, Irwin K M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier Ltd. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7553867/
https://www.ncbi.nlm.nih.gov/pubmed/33065022
http://dx.doi.org/10.1016/S2468-2667(20)30223-1
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author Been, Jasper V
Burgos Ochoa, Lizbeth
Bertens, Loes C M
Schoenmakers, Sam
Steegers, Eric A P
Reiss, Irwin K M
author_facet Been, Jasper V
Burgos Ochoa, Lizbeth
Bertens, Loes C M
Schoenmakers, Sam
Steegers, Eric A P
Reiss, Irwin K M
author_sort Been, Jasper V
collection PubMed
description BACKGROUND: Preterm birth is the leading cause of child mortality globally, with many survivors experiencing long-term adverse consequences. Preliminary evidence suggests that numbers of preterm births greatly reduced following implementation of policy measures aimed at mitigating the effects of the COVID-19 pandemic. We aimed to study the impact of the COVID-19 mitigation measures implemented in the Netherlands in a stepwise fashion on March 9, March 15, and March 23, 2020, on the incidence of preterm birth. METHODS: We used a national quasi-experimental difference-in-regression-discontinuity approach. We used data from the neonatal dried blood spot screening programme (2010–20) cross-validated against national perinatal registry data. Stratified analyses were done according to gestational age subgroups, and sensitivity analyses were done to assess robustness of the findings. We explored potential effect modification by neighbourhood socioeconomic status, sex, and small-for-gestational-age status. FINDINGS: Data on 1 599 547 singleton neonates were available, including 56 720 births that occurred after implementation of COVID-19 mitigation measures on March 9, 2020. Consistent reductions in the incidence of preterm birth were seen across various time windows surrounding March 9 (± 2 months [n=531 823] odds ratio [OR] 0·77, 95% CI 0·66–0·91, p=0·0026; ± 3 months [n=796 531] OR 0·85, 0·73–0·98, p=0·028; ± 4 months [n=1 066 872] OR 0·84, 0·73–0·97, p=0·023). Decreases in incidence observed following the March 15 measures were of smaller magnitude, but not statistically significant. No changes were observed after March 23. Reductions in the incidence of preterm births after March 9 were consistent across gestational age strata and robust in sensitivity analyses. They appeared confined to neighbourhoods of high socioeconomic status, but effect modification was not statistically significant. INTERPRETATION: In this national quasi-experimental study, initial implementation of COVID-19 mitigation measures was associated with a substantial reduction in the incidence of preterm births in the following months, in agreement with preliminary observations elsewhere. Integration of comparable data from across the globe is needed to further substantiate these findings and start exploring underlying mechanisms. FUNDING: None.
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spelling pubmed-75538672020-10-14 Impact of COVID-19 mitigation measures on the incidence of preterm birth: a national quasi-experimental study Been, Jasper V Burgos Ochoa, Lizbeth Bertens, Loes C M Schoenmakers, Sam Steegers, Eric A P Reiss, Irwin K M Lancet Public Health Articles BACKGROUND: Preterm birth is the leading cause of child mortality globally, with many survivors experiencing long-term adverse consequences. Preliminary evidence suggests that numbers of preterm births greatly reduced following implementation of policy measures aimed at mitigating the effects of the COVID-19 pandemic. We aimed to study the impact of the COVID-19 mitigation measures implemented in the Netherlands in a stepwise fashion on March 9, March 15, and March 23, 2020, on the incidence of preterm birth. METHODS: We used a national quasi-experimental difference-in-regression-discontinuity approach. We used data from the neonatal dried blood spot screening programme (2010–20) cross-validated against national perinatal registry data. Stratified analyses were done according to gestational age subgroups, and sensitivity analyses were done to assess robustness of the findings. We explored potential effect modification by neighbourhood socioeconomic status, sex, and small-for-gestational-age status. FINDINGS: Data on 1 599 547 singleton neonates were available, including 56 720 births that occurred after implementation of COVID-19 mitigation measures on March 9, 2020. Consistent reductions in the incidence of preterm birth were seen across various time windows surrounding March 9 (± 2 months [n=531 823] odds ratio [OR] 0·77, 95% CI 0·66–0·91, p=0·0026; ± 3 months [n=796 531] OR 0·85, 0·73–0·98, p=0·028; ± 4 months [n=1 066 872] OR 0·84, 0·73–0·97, p=0·023). Decreases in incidence observed following the March 15 measures were of smaller magnitude, but not statistically significant. No changes were observed after March 23. Reductions in the incidence of preterm births after March 9 were consistent across gestational age strata and robust in sensitivity analyses. They appeared confined to neighbourhoods of high socioeconomic status, but effect modification was not statistically significant. INTERPRETATION: In this national quasi-experimental study, initial implementation of COVID-19 mitigation measures was associated with a substantial reduction in the incidence of preterm births in the following months, in agreement with preliminary observations elsewhere. Integration of comparable data from across the globe is needed to further substantiate these findings and start exploring underlying mechanisms. FUNDING: None. The Author(s). Published by Elsevier Ltd. 2020-11 2020-10-14 /pmc/articles/PMC7553867/ /pubmed/33065022 http://dx.doi.org/10.1016/S2468-2667(20)30223-1 Text en © 2020 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Articles
Been, Jasper V
Burgos Ochoa, Lizbeth
Bertens, Loes C M
Schoenmakers, Sam
Steegers, Eric A P
Reiss, Irwin K M
Impact of COVID-19 mitigation measures on the incidence of preterm birth: a national quasi-experimental study
title Impact of COVID-19 mitigation measures on the incidence of preterm birth: a national quasi-experimental study
title_full Impact of COVID-19 mitigation measures on the incidence of preterm birth: a national quasi-experimental study
title_fullStr Impact of COVID-19 mitigation measures on the incidence of preterm birth: a national quasi-experimental study
title_full_unstemmed Impact of COVID-19 mitigation measures on the incidence of preterm birth: a national quasi-experimental study
title_short Impact of COVID-19 mitigation measures on the incidence of preterm birth: a national quasi-experimental study
title_sort impact of covid-19 mitigation measures on the incidence of preterm birth: a national quasi-experimental study
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7553867/
https://www.ncbi.nlm.nih.gov/pubmed/33065022
http://dx.doi.org/10.1016/S2468-2667(20)30223-1
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