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The effect on dental care utilization from transitioning pediatric Medicaid beneficiaries to managed care

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  • Kamyar Nasseh
  • John R. Bowblis

Abstract

Compared to the fee‐for‐service (FFS) model, the managed care delivery system has the potential to improve health care management, increase provider accountability, and support better monitoring of health care quality. However, managed care organizations may attempt to control costs by curbing utilization among Medicaid beneficiaries or reducing reimbursement for Medicaid services. It is an empirical question whether managed care increases or decreases utilization of services. Using detailed pediatric public insurance dental claims data from 2016 through 2018, we examined whether the transition from FFS to managed care affects rates of dental care utilization. Between 2016 and 2018, Indiana, Missouri and Nebraska transitioned pediatric Medicaid beneficiaries from public dental fee‐for‐service programs to private managed care entities. Using an extended two‐way fixed‐effects estimation framework, we found that dental managed care leads to a decline in dental care utilization, especially when compared to states that maintain FFS provision of Medicaid dental services.

Suggested Citation

  • Kamyar Nasseh & John R. Bowblis, 2022. "The effect on dental care utilization from transitioning pediatric Medicaid beneficiaries to managed care," Health Economics, John Wiley & Sons, Ltd., vol. 31(6), pages 1103-1128, June.
  • Handle: RePEc:wly:hlthec:v:31:y:2022:i:6:p:1103-1128
    DOI: 10.1002/hec.4496
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    References listed on IDEAS

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    1. James G. MacKinnon & Matthew D. Webb, 2018. "The wild bootstrap for few (treated) clusters," Econometrics Journal, Royal Economic Society, vol. 21(2), pages 114-135, June.
    2. repec:mpr:mprres:3849 is not listed on IDEAS
    3. Mark Duggan & Fiona Scott Morton, 2010. "The Effect of Medicare Part D on Pharmaceutical Prices and Utilization," American Economic Review, American Economic Association, vol. 100(1), pages 590-607, March.
    4. A. Colin Cameron & Jonah B. Gelbach & Douglas L. Miller, 2008. "Bootstrap-Based Improvements for Inference with Clustered Errors," The Review of Economics and Statistics, MIT Press, vol. 90(3), pages 414-427, August.
    5. Timothy G. Conley & Christopher R. Taber, 2011. "Inference with "Difference in Differences" with a Small Number of Policy Changes," The Review of Economics and Statistics, MIT Press, vol. 93(1), pages 113-125, February.
    6. Thomas C. Buchmueller & Sean Orzol & Lara D. Shore-Sheppard, 2015. "The Effect of Medicaid Payment Rates on Access to Dental Care among Children," American Journal of Health Economics, University of Chicago Press, vol. 1(2), pages 194-223, Spring.
    7. Sherry Glied & Matthew Neidell, 2010. "The Economic Value of Teeth," Journal of Human Resources, University of Wisconsin Press, vol. 45(2).
    8. Vilsa Curto & Liran Einav & Amy Finkelstein & Jonathan Levin & Jay Bhattacharya, 2019. "Health Care Spending and Utilization in Public and Private Medicare," American Economic Journal: Applied Economics, American Economic Association, vol. 11(2), pages 302-332, April.
    9. Choi, Moonkyung Kate, 2011. "The impact of Medicaid insurance coverage on dental service use," Journal of Health Economics, Elsevier, vol. 30(5), pages 1020-1031.
    10. Sant’Anna, Pedro H.C. & Zhao, Jun, 2020. "Doubly robust difference-in-differences estimators," Journal of Econometrics, Elsevier, vol. 219(1), pages 101-122.
    11. Town, Robert & Liu, Su, 2003. "The Welfare Impact of Medicare HMOs," RAND Journal of Economics, The RAND Corporation, vol. 34(4), pages 719-736, Winter.
    12. Anna Aizer & Janet Currie & Enrico Moretti, 2007. "Does Managed Care Hurt Health? Evidence from Medicaid Mothers," The Review of Economics and Statistics, MIT Press, vol. 89(3), pages 385-399, August.
    13. David Roodman & James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2019. "Fast and wild: Bootstrap inference in Stata using boottest," Stata Journal, StataCorp LP, vol. 19(1), pages 4-60, March.
    14. Chad D. Meyerhoefer & Samuel H. Zuvekas & Bita Fayaz Farkhad & John F. Moeller & Richard J. Manski, 2019. "The demand for preventive and restorative dental services among older adults," Health Economics, John Wiley & Sons, Ltd., vol. 28(9), pages 1151-1158, September.
    15. David Dranove & Christopher Ody & Amanda Starc, 2021. "A Dose of Managed Care: Controlling Drug Spending in Medicaid," American Economic Journal: Applied Economics, American Economic Association, vol. 13(1), pages 170-197, January.
    16. Mark Duggan & Tamara Hayford, 2013. "Has the Shift to Managed Care Reduced Medicaid Expenditures? Evidence from State and Local‐Level Mandates," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 32(3), pages 505-535, June.
    17. Duggan, Mark, 2004. "Does contracting out increase the efficiency of government programs? Evidence from Medicaid HMOs," Journal of Public Economics, Elsevier, vol. 88(12), pages 2549-2572, December.
    18. James G. MacKinnon & Matthew D. Webb, 2019. "Wild Bootstrap Randomization Inference for Few Treated Clusters," Advances in Econometrics, in: The Econometrics of Complex Survey Data, volume 39, pages 61-85, Emerald Group Publishing Limited.
    19. Callaway, Brantly & Sant’Anna, Pedro H.C., 2021. "Difference-in-Differences with multiple time periods," Journal of Econometrics, Elsevier, vol. 225(2), pages 200-230.
    20. Thomas Buchmueller & Sarah Miller & Marko Vujicic, 2016. "How Do Providers Respond to Changes in Public Health Insurance Coverage? Evidence from Adult Medicaid Dental Benefits," American Economic Journal: Economic Policy, American Economic Association, vol. 8(4), pages 70-102, November.
    Full references (including those not matched with items on IDEAS)

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