Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Association 2021
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
_version_ 1783703238882623488
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
work_keys_str_mv AT stoutmollyj useofelectronicmedicalrecordstoestimatechangesinpregnancyandbirthratesduringthecovid19pandemic
AT vandevencosmasjm useofelectronicmedicalrecordstoestimatechangesinpregnancyandbirthratesduringthecovid19pandemic
AT parekhvikasi useofelectronicmedicalrecordstoestimatechangesinpregnancyandbirthratesduringthecovid19pandemic
AT pardojenniferl useofelectronicmedicalrecordstoestimatechangesinpregnancyandbirthratesduringthecovid19pandemic
AT garifullinmaxim useofelectronicmedicalrecordstoestimatechangesinpregnancyandbirthratesduringthecovid19pandemic
AT xumin useofelectronicmedicalrecordstoestimatechangesinpregnancyandbirthratesduringthecovid19pandemic
AT fennerdeee useofelectronicmedicalrecordstoestimatechangesinpregnancyandbirthratesduringthecovid19pandemic
AT smithrogerd useofelectronicmedicalrecordstoestimatechangesinpregnancyandbirthratesduringthecovid19pandemic