Literature DB >> 25213740

Employment during pregnancy and obstetric intervention without medical reason: labor induction and cesarean delivery.

Katy Backes Kozhimannil1, Laura B Attanasio2, Pamela Jo Johnson3, Dwenda K Gjerdingen4, Patricia M McGovern5.   

Abstract

BACKGROUND: Rising rates of labor induction and cesarean delivery, especially when used without a medical reason, have generated concern among clinicians, women, and policymakers. Whether employment status affects pregnant women's childbirth-related care is not known. We estimated the relationship between prenatal employment and obstetric procedures, distinguishing whether women reported that the induction or cesarean was performed for medical reasons.
METHODS: Using data from a nationally representative sample of women who gave birth in U.S. hospitals (n = 1,573), we used propensity score matching to reduce potential bias from nonrandom selection into employment. Outcomes were cesarean delivery and labor induction, with and without a self-reported medical reason. Exposure was prenatal employment status (full-time employment, not employed). We conducted separate analyses for unmatched and matched cohorts using multivariable regression models.
FINDINGS: There were no differences in labor induction based on employment status. In unmatched analyses, employed women had higher odds of cesarean delivery overall (adjusted odds ratio [AOR], 1.45; p = .046) and cesarean delivery without medical reason (AOR, 1.94; p = .024). Adding an interaction term between employment and college education revealed no effects on cesarean delivery without medical reason. There were no differences in cesarean delivery by employment status in the propensity score-matched analysis.
CONCLUSIONS: Full-time prenatal employment is associated with higher odds of cesarean delivery, but this association was not explained by socioeconomic status and no longer existed after accounting for sociodemographic differences by matching women employed full time with similar women not employed during pregnancy.
Copyright © 2014 Jacobs Institute of Women's Health. Published by Elsevier Inc. All rights reserved.

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Year:  2014        PMID: 25213740      PMCID: PMC4163009          DOI: 10.1016/j.whi.2014.06.010

Source DB:  PubMed          Journal:  Womens Health Issues        ISSN: 1049-3867


  42 in total

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Authors:  Carolyn Zelop; Linda J Heffner
Journal:  Clin Obstet Gynecol       Date:  2004-06       Impact factor: 2.190

2.  Maternal risk profiles and the primary cesarean rate in the United States, 1991-2002.

Authors:  Eugene Declercq; Fay Menacker; Marian Macdorman
Journal:  Am J Public Health       Date:  2006-03-29       Impact factor: 9.308

Review 3.  A critical appraisal of propensity-score matching in the medical literature between 1996 and 2003.

Authors:  Peter C Austin
Journal:  Stat Med       Date:  2008-05-30       Impact factor: 2.373

4.  Maternal employment, breastfeeding, and health: evidence from maternity leave mandates.

Authors:  Michael Baker; Kevin Milligan
Journal:  J Health Econ       Date:  2008-03-04       Impact factor: 3.883

5.  Propensity score methods for bias reduction in the comparison of a treatment to a non-randomized control group.

Authors:  R B D'Agostino
Journal:  Stat Med       Date:  1998-10-15       Impact factor: 2.373

6.  Scientific evidence underlying the American College of Obstetricians and Gynecologists' practice bulletins.

Authors:  Jason D Wright; Neha Pawar; Julie S R Gonzalez; Sharyn N Lewin; William M Burke; Lynn L Simpson; Abigail S Charles; Mary E D'Alton; Thomas J Herzog
Journal:  Obstet Gynecol       Date:  2011-09       Impact factor: 7.661

7.  How to stop the relentless rise in cesarean deliveries.

Authors:  John T Queenan
Journal:  Obstet Gynecol       Date:  2011-08       Impact factor: 7.661

8.  Family leave after childbirth and the mental health of new mothers.

Authors:  Pinka Chatterji; Sara Markowitz
Journal:  J Ment Health Policy Econ       Date:  2012-06

Review 9.  Decision aids for people facing health treatment or screening decisions.

Authors:  Dawn Stacey; Carol L Bennett; Michael J Barry; Nananda F Col; Karen B Eden; Margaret Holmes-Rovner; Hilary Llewellyn-Thomas; Anne Lyddiatt; France Légaré; Richard Thomson
Journal:  Cochrane Database Syst Rev       Date:  2011-10-05

10.  Safety in numbers: the development of Leapfrog's composite patient safety score for U.S. hospitals.

Authors:  J Matthew Austin; Guy D'Andrea; John D Birkmeyer; Lucian L Leape; Arnold Milstein; Peter J Pronovost; Patrick S Romano; Sara J Singer; Timothy J Vogus; Robert M Wachter
Journal:  J Patient Saf       Date:  2014-03       Impact factor: 2.844

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  1 in total

1.  Male partner involvement in efforts to eliminate mother-to-child transmission of HIV in Kisumu County, Western Kenya, 2015.

Authors:  Samuel Juma; Venny Nyambati; Mohamed Karama; Jane Githuku; Zeinab Gura
Journal:  Pan Afr Med J       Date:  2017-11-04
  1 in total

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