Insurance coverage and in vitro fertilization outcomes: a U.S. perspective

Fertil Steril. 2011 Mar 1;95(3):964-9. doi: 10.1016/j.fertnstert.2010.06.030. Epub 2010 Aug 5.

Abstract

Objective: To compare the impact of mandated IVF insurance coverage on ET practices and resulting multiple pregnancy rates.

Design: Retrospective analysis of all fresh, nondonor IVF cycles performed in the United States in 2006.

Setting: United States.

Patient(s): A total of 91,753 fresh, nondonor IVF cycles in the United States.

Intervention(s): None.

Main outcome measure(s): Pregnancy rate, live-birth rate, embryos transferred, multiple pregnancy rate.

Result(s): Overall, nonmandated states had a significantly higher pregnancy rate (38.8% vs. 35%) and live-birth rate (32.2% vs. 29.1%) than mandated states. Nonmandated states also had a significantly higher twin rate (28.1% vs. 26%) and triplet rate (3.9% vs. 3.4%). The average number of embryos transferred was also significantly higher in nonmandated states (2.6 vs. 2.2). These findings were more pronounced in the <35 and 35-37 age groups.

Conclusion(s): In the last 8 years, despite a reduction in the average number of embryos transferred and multiple pregnancy rates, there is a continued association between mandated IVF coverage, the transfer of fewer embryos, and lower rates of multiple pregnancies and births, particularly in the younger age groups.

MeSH terms

  • Adult
  • Age Distribution
  • Embryo Transfer / economics*
  • Embryo Transfer / statistics & numerical data*
  • Female
  • Fertilization in Vitro* / economics
  • Fertilization in Vitro* / legislation & jurisprudence
  • Fertilization in Vitro* / statistics & numerical data
  • Humans
  • Insurance Coverage / legislation & jurisprudence
  • Insurance Coverage / statistics & numerical data
  • Insurance, Health / legislation & jurisprudence*
  • Insurance, Health / statistics & numerical data*
  • Pregnancy
  • Pregnancy Outcome / epidemiology*
  • Retrospective Studies
  • State Government
  • Triplets
  • Twins
  • United States / epidemiology