@article{efd0e4365fec42f78d03970e9c09927b,
title = "Racial/Ethnic Differences in Labor Induction in a Contemporary US Cohort: A Retrospective Cohort Study",
abstract = " Objective To examine labor induction by race/ethnicity and factors associated with disparity in induction. Study Design This is a retrospective cohort study of 143,634 women eligible for induction ≥24 weeks' gestation from 12 clinical centers (2002-2008). Rates of labor induction for each racial/ethnic group were calculated and stratified by gestational age intervals: early preterm (24 0/7 -33 6/7 ), late preterm (34 0/7 -36 6/7 ), and term (37 0/7 -41 6/7 weeks). Multivariable logistic regression examined the association between maternal race/ethnicity and induction controlling for maternal characteristics and pregnancy complications. The primary outcome was rate of induction by race/ethnicity. Inductions that were indicated, non-medically indicated, or without recorded indication were also compared. Results Non-Hispanic black (NHB) women had the highest percentage rate of induction, 44.6% (p < 0.001). After adjustment, all racial/ethnic groups had lower odds of induction compared with non-Hispanic white (NHW) women. At term, NHW women had the highest percentage rate (45.4%) of non-medically indicated or induction with no indication (p < 0.001). Conclusion Compared with other racial/ethnic groups, NHW women were more likely to undergo non-medically indicated induction at term. As labor induction may avoid the occurrence of stillbirth, whether this finding explains part of the increased risk of stillbirth for NHB women at term merits further research. ",
keywords = "disparity, ethnicity, induction, labor, obstetrics, race",
author = "Jasbir Singh and Reddy, {Uma M.} and Huang, {Chun Chih} and Driggers, {Rita W.} and Landy, {Helain J.} and Grantz, {Katherine L.}",
note = "Funding Information: The Consortium on Safe Labor was funded by the Intramural Research Program of the Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, through contract number HHSN267200603425C. Institutions involved in the Consortium include, in alphabetical order, Baystate Medical Center, Springfield, MA; Cedars-Sinai Medical Center Burnes Allen Research Center, Los Angeles, CA; Christiana Care Health System, Newark, DE; Georgetown University Hospital, MedStar Health, Washington, DC; Indiana University Clarian Health, Indianapolis, IN; Intermountain Healthcare andtheUniversityofUtah,SaltLakeCity,Utah;Maimonides Medical Center, Brooklyn, NY; MetroHealth Medical Center, Cleveland, OH; Summa Health System, Akron City Hospital, Akron, OH; The EMMES Corporation, Rockville MD (Data Coordinating Center); University of Illinois at Chicago, Chicago, IL; University of Miami, Miami, FL; and University of Texas Health Science Center at Houston, Houston, TX. The named authors alone are responsible for the views expressed in this manuscript, which does not necessarily represent the decisions or the stated policy of the NICHD. Biostatistical support for this project has been funded in whole or in part with Federal funds (grant number: UL1RR031975) from the National Center for Research Resources (NCRR), National Institutes of Health (NIH), through the Clinical and Translational Science Awards Program (CTSA), a trademark of DHHS, part of the Roadmap Initiative, “Re-Engineering the Clinical Research Enterprise.” Publisher Copyright: {\textcopyright} Copyright 2018 by Thieme Medical Publishers, Inc.",
year = "2018",
month = mar,
day = "1",
doi = "10.1055/s-0037-1607285",
language = "English (US)",
volume = "35",
pages = "361--368",
journal = "American Journal of Perinatology",
issn = "0735-1631",
publisher = "Thieme Medical Publishers",
number = "4",
}