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The effect of contraceptive access reform on privately insured patients: Evidence from Delaware Contraceptive Access Now

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  • Maranna Yoder
  • Michel Boudreaux

Abstract

Background: Many states are implementing comprehensive programs aimed at reducing persistent barriers to contraceptive care. Evidence on the effectiveness of these programs is essential for practice improvement and policy development. Objective: To evaluate changes in the probability of initiating a contraceptive method by women with employer sponsored insurance after implementation of Delaware Contraceptive Access Now (DelCAN), a statewide initiative that aimed to increase access to long-acting reversible contraceptives (LARCs). Design, setting, and participants: We used a difference-in-differences design to examine contraceptive initiation rates. Data came from IBM Marketscan and covered women age 15–44 enrolled in employer sponsored insurance. The primary outcome was insertion of a LARC, both in the overall study population and in the immediate postpartum (IPP) setting. Secondary analysis examined changes to other contraceptive method types. Results: The cohort of 4,550,459 enrollees generated a sample of 11,888,837 person-years and 615,670 childbirth hospitalizations. Difference-in-differences estimates suggested that DelCAN was associated with a 0.3 percentage point (95% CI [0.2, 0.5], p

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  • Maranna Yoder & Michel Boudreaux, 2023. "The effect of contraceptive access reform on privately insured patients: Evidence from Delaware Contraceptive Access Now," PLOS ONE, Public Library of Science, vol. 18(1), pages 1-14, January.
    • Handle: RePEc:plo:pone00:0280588
    DOI: 10.1371/journal.pone.0280588
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    References listed on IDEAS

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    1. Kelly, Andrea & Lindo, Jason M. & Packham, Analisa, 2020. "The power of the IUD: Effects of expanding access to contraception through Title X clinics," Journal of Public Economics, Elsevier, vol. 192(C).
    2. Bruno Ferman & Cristine Pinto, 2019. "Inference in Differences-in-Differences with Few Treated Groups and Heteroskedasticity," The Review of Economics and Statistics, MIT Press, vol. 101(3), pages 452-467, July.
    3. Sant’Anna, Pedro H.C. & Zhao, Jun, 2020. "Doubly robust difference-in-differences estimators," Journal of Econometrics, Elsevier, vol. 219(1), pages 101-122.
    4. Slawa Rokicki & Jessica Cohen & Gunther Fink & Joshua Salomon & Mary Beth Landrum, 2018. "Inference with difference-in-differences with a small number of groups: a review, simulation study and empirical application using SHARE data," CHaRMS Working Papers 18-01, Centre for HeAlth Research at the Management School (CHaRMS).
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