Literature DB >> 25521560

Are trends in the proportions of non-medically indicated inductions different by Medicaid status?

M Applegate1, M Wiggins1, J L Bailit2.   

Abstract

OBJECTIVE: To determine whether Medicaid status influenced the effect of a quality improvement effort. STUDY
DESIGN: Using a data set consisting of the 2006 to 2010 vital statistics data linked with Medicaid status data, we identified non-medically indicated inductions between 36 0/7 and 38 6/7 weeks gestational age and compared rates of non-medically indicated inductions between women with Medicaid and all other payers. We also compared these rates in hospitals that did and did not participate in the Ohio Perinatal Quality Collaborative (OPQC).
RESULTS: A total of 232 935 births with gestational ages between 36 0/7 and 38 6/7 weeks were included in this study. In the sample, 32 371 births (13.9%) were non-medically indicated inductions. Overall, rates of non-medically indicated deliveries for all insurance types dropped over the course of the initiative. Interestingly, in OPQC participating hospitals, the Medicaid mothers' rates of non-medically indicated inductions prior to 39 weeks were well below rates for other insurance types prior to the initiative. By the end of the initiative, rates for all insurance types had dropped significantly but non-medically indicated inductions<39 weeks rates dropped more dramatically in the non-Medicaid mothers, resulting in higher rates for Medicaid than for non-Medicaid mothers.
CONCLUSIONS: Non-medically indicated deliveries decreased for women irrespective of Medicaid enrollment status. However, non-medically indicated delivery rates did not drop as sharply for women enrolled in Medicaid.

Entities:  

Mesh:

Year:  2014        PMID: 25521560     DOI: 10.1038/jp.2014.218

Source DB:  PubMed          Journal:  J Perinatol        ISSN: 0743-8346            Impact factor:   2.521


  8 in total

1.  Rates of labor induction without medical indication are overestimated when derived from birth certificate data.

Authors:  Jennifer L Bailit
Journal:  Am J Obstet Gynecol       Date:  2010-09       Impact factor: 8.661

2.  Accuracy of birth certificate data by risk factors and outcomes: analysis of data from New Jersey.

Authors:  Nancy E Reichman; Ofira Schwartz-Soicher
Journal:  Am J Obstet Gynecol       Date:  2007-07       Impact factor: 8.661

3.  A statewide initiative to reduce inappropriate scheduled births at 36(0/7)-38(6/7) weeks' gestation.

Authors:  Edward F Donovan; Carole Lannon; Jennifer Bailit; Barbara Rose; Jay D Iams; Terri Byczkowski
Journal:  Am J Obstet Gynecol       Date:  2010-03       Impact factor: 8.661

4.  Defining "term" pregnancy: recommendations from the Defining "Term" Pregnancy Workgroup.

Authors:  Catherine Y Spong
Journal:  JAMA       Date:  2013-06-19       Impact factor: 56.272

5.  Respiratory morbidity in late preterm births.

Authors:  Judith U Hibbard; Isabelle Wilkins; Liping Sun; Kimberly Gregory; Shoshana Haberman; Matthew Hoffman; Michelle A Kominiarek; Uma Reddy; Jennifer Bailit; D Ware Branch; Ronald Burkman; Victor Hugo Gonzalez Quintero; Christos G Hatjis; Helain Landy; Mildred Ramirez; Paul VanVeldhuisen; James Troendle; Jun Zhang
Journal:  JAMA       Date:  2010-07-28       Impact factor: 56.272

6.  Timing of elective repeat cesarean delivery at term and neonatal outcomes.

Authors:  Alan T N Tita; Mark B Landon; Catherine Y Spong; Yinglei Lai; Kenneth J Leveno; Michael W Varner; Atef H Moawad; Steve N Caritis; Paul J Meis; Ronald J Wapner; Yoram Sorokin; Menachem Miodovnik; Marshall Carpenter; Alan M Peaceman; Mary J O'Sullivan; Baha M Sibai; Oded Langer; John M Thorp; Susan M Ramin; Brian M Mercer
Journal:  N Engl J Med       Date:  2009-01-08       Impact factor: 91.245

Review 7.  Timing of indicated late-preterm and early-term birth.

Authors:  Catherine Y Spong; Brian M Mercer; Mary D'Alton; Sarah Kilpatrick; Sean Blackwell; George Saade
Journal:  Obstet Gynecol       Date:  2011-08       Impact factor: 7.623

8.  The differential effects of maternal age, race/ethnicity and insurance on neonatal intensive care unit admission rates.

Authors:  Beatriz E de Jongh; Robert Locke; David A Paul; Matthew Hoffman
Journal:  BMC Pregnancy Childbirth       Date:  2012-09-17       Impact factor: 3.007

  8 in total
  1 in total

Review 1.  Review of Evidence-Based Methods for Successful Labor Induction.

Authors:  Nicole Carlson; Jessica Ellis; Katie Page; Alexis Dunn Amore; Julia Phillippi
Journal:  J Midwifery Womens Health       Date:  2021-05-13       Impact factor: 2.891

  1 in total

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