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Use of Electronic Medical Records to Estimate Changes in Pregnancy and Birth Rates During the COVID-19 Pandemic
IMPORTANCE: The influence of the COVID-19 pandemic on fertility rates has been suggested in the lay press and anticipated based on documented decreases in fertility and pregnancy rates during previous major societal and economic shifts. Anticipatory planning for birth rates is important for health c...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Medical Association
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8176329/ https://www.ncbi.nlm.nih.gov/pubmed/34081139 http://dx.doi.org/10.1001/jamanetworkopen.2021.11621 |
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author | Stout, Molly J. Van De Ven, Cosmas J. M. Parekh, Vikas I. Pardo, Jennifer L. Garifullin, Maxim Xu, Min Fenner, Dee E. Smith, Roger D. |
author_facet | Stout, Molly J. Van De Ven, Cosmas J. M. Parekh, Vikas I. Pardo, Jennifer L. Garifullin, Maxim Xu, Min Fenner, Dee E. Smith, Roger D. |
author_sort | Stout, Molly J. |
collection | PubMed |
description | IMPORTANCE: The influence of the COVID-19 pandemic on fertility rates has been suggested in the lay press and anticipated based on documented decreases in fertility and pregnancy rates during previous major societal and economic shifts. Anticipatory planning for birth rates is important for health care systems and government agencies to accurately estimate size of economy and model working and/or aging populations. OBJECTIVE: To use projection modeling based on electronic health care records in a large US university medical center to estimate changes in pregnancy and birth rates prior to and after the COVID-19 pandemic societal lockdowns. DESIGN, SETTING, AND PARTICIPANTS: This cohort study included all pregnancy episodes within a single US academic health care system retrospectively from 2017 and modeled prospectively to 2021. Data were analyzed September 2021. EXPOSURES: Pre– and post–COVID-19 pandemic societal shutdown measures. MAIN OUTCOMES AND MEASURES: The primary outcome was number of new pregnancy episodes initiated within the health care system and use of those episodes to project birth volumes. Interrupted time series analysis was used to assess the degree to which COVID-19 societal changes may have factored into pregnancy episode volume. Potential reasons for the changes in volumes were compared with historical pregnancy volumes, including delays in starting prenatal care, interruptions in reproductive endocrinology and infertility services, and preterm birth rates. RESULTS: This cohort study documented a steadily increasing number of pregnancy episodes over the study period, from 4100 pregnancies in 2017 to 4620 in 2020 (28 284 total pregnancies; median maternal [interquartile range] age, 30 [27-34] years; 18 728 [66.2%] White women, 3794 [13.4%] Black women; 2177 [7.7%] Asian women). A 14% reduction in pregnancy episode initiation was observed after the societal shutdown of the COVID-19 pandemic (risk ratio, 0.86; 95% CI, 0.79-0.92; P < .001). This decrease appeared to be due to a decrease in conceptions that followed the March 15 mandated COVID-19 pandemic societal shutdown. Prospective modeling of pregnancies currently suggests that a birth volume surge can be anticipated in summer 2021. CONCLUSIONS AND RELEVANCE: This cohort study using electronic medical record surveillance found an initial decline in births associated with the COVID-19 pandemic societal changes and an anticipated increase in birth volume. Future studies can further explore how pregnancy episode volume changes can be monitored and birth rates projected in real-time during major societal events. |
format | Online Article Text |
id | pubmed-8176329 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | American Medical Association |
record_format | MEDLINE/PubMed |
spelling | pubmed-81763292021-06-17 Use of Electronic Medical Records to Estimate Changes in Pregnancy and Birth Rates During the COVID-19 Pandemic Stout, Molly J. Van De Ven, Cosmas J. M. Parekh, Vikas I. Pardo, Jennifer L. Garifullin, Maxim Xu, Min Fenner, Dee E. Smith, Roger D. JAMA Netw Open Original Investigation IMPORTANCE: The influence of the COVID-19 pandemic on fertility rates has been suggested in the lay press and anticipated based on documented decreases in fertility and pregnancy rates during previous major societal and economic shifts. Anticipatory planning for birth rates is important for health care systems and government agencies to accurately estimate size of economy and model working and/or aging populations. OBJECTIVE: To use projection modeling based on electronic health care records in a large US university medical center to estimate changes in pregnancy and birth rates prior to and after the COVID-19 pandemic societal lockdowns. DESIGN, SETTING, AND PARTICIPANTS: This cohort study included all pregnancy episodes within a single US academic health care system retrospectively from 2017 and modeled prospectively to 2021. Data were analyzed September 2021. EXPOSURES: Pre– and post–COVID-19 pandemic societal shutdown measures. MAIN OUTCOMES AND MEASURES: The primary outcome was number of new pregnancy episodes initiated within the health care system and use of those episodes to project birth volumes. Interrupted time series analysis was used to assess the degree to which COVID-19 societal changes may have factored into pregnancy episode volume. Potential reasons for the changes in volumes were compared with historical pregnancy volumes, including delays in starting prenatal care, interruptions in reproductive endocrinology and infertility services, and preterm birth rates. RESULTS: This cohort study documented a steadily increasing number of pregnancy episodes over the study period, from 4100 pregnancies in 2017 to 4620 in 2020 (28 284 total pregnancies; median maternal [interquartile range] age, 30 [27-34] years; 18 728 [66.2%] White women, 3794 [13.4%] Black women; 2177 [7.7%] Asian women). A 14% reduction in pregnancy episode initiation was observed after the societal shutdown of the COVID-19 pandemic (risk ratio, 0.86; 95% CI, 0.79-0.92; P < .001). This decrease appeared to be due to a decrease in conceptions that followed the March 15 mandated COVID-19 pandemic societal shutdown. Prospective modeling of pregnancies currently suggests that a birth volume surge can be anticipated in summer 2021. CONCLUSIONS AND RELEVANCE: This cohort study using electronic medical record surveillance found an initial decline in births associated with the COVID-19 pandemic societal changes and an anticipated increase in birth volume. Future studies can further explore how pregnancy episode volume changes can be monitored and birth rates projected in real-time during major societal events. American Medical Association 2021-06-03 /pmc/articles/PMC8176329/ /pubmed/34081139 http://dx.doi.org/10.1001/jamanetworkopen.2021.11621 Text en Copyright 2021 Stout MJ et al. JAMA Network Open. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the CC-BY License. |
spellingShingle | Original Investigation Stout, Molly J. Van De Ven, Cosmas J. M. Parekh, Vikas I. Pardo, Jennifer L. Garifullin, Maxim Xu, Min Fenner, Dee E. Smith, Roger D. Use of Electronic Medical Records to Estimate Changes in Pregnancy and Birth Rates During the COVID-19 Pandemic |
title | Use of Electronic Medical Records to Estimate Changes in Pregnancy and Birth Rates During the COVID-19 Pandemic |
title_full | Use of Electronic Medical Records to Estimate Changes in Pregnancy and Birth Rates During the COVID-19 Pandemic |
title_fullStr | Use of Electronic Medical Records to Estimate Changes in Pregnancy and Birth Rates During the COVID-19 Pandemic |
title_full_unstemmed | Use of Electronic Medical Records to Estimate Changes in Pregnancy and Birth Rates During the COVID-19 Pandemic |
title_short | Use of Electronic Medical Records to Estimate Changes in Pregnancy and Birth Rates During the COVID-19 Pandemic |
title_sort | use of electronic medical records to estimate changes in pregnancy and birth rates during the covid-19 pandemic |
topic | Original Investigation |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8176329/ https://www.ncbi.nlm.nih.gov/pubmed/34081139 http://dx.doi.org/10.1001/jamanetworkopen.2021.11621 |
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