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Managed Care, Technology Adoption, and Health Care: The Adoption of Neonatal Intensive Care

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  • Laurence C. Baker
  • Ciaran S. Phibbs

Abstract

Managed care activity may alter the incentives associated with the acquisition and use of new medical technologies, with potentially important implications for health care costs, patient care, and outcomes. This paper discusses mechanisms by which managed care could influence the adoption of new technologies and empirically examines the relationship between HMO market share and the diffusion of neonatal intensive care, a collection of technologies for the care of high risk newborns. We find that managed care slowed the adoption of NICUs, primarily by slowing the adoption of mid-level NICUs rather than the most advanced high-level units. Slowing the adoption of mid-level units would likely have generated savings. Moreover, opposite the frequent supposition that slowing technology growth is uniformly harmful to patients, in this case reduced adoption of mid-level units could have benefitted patients, since health outcomes for seriously ill newborns are better in higher-level NICUs and reductions in the availability of mid-level units appear to increase the chance of receiving care in a high-level center.

Suggested Citation

  • Laurence C. Baker & Ciaran S. Phibbs, 2000. "Managed Care, Technology Adoption, and Health Care: The Adoption of Neonatal Intensive Care," NBER Working Papers 7883, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:7883
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    Cited by:

    1. Vita, Michael G., 2001. "Regulatory restrictions on selective contracting: an empirical analysis of "any-willing-provider" regulations," Journal of Health Economics, Elsevier, vol. 20(6), pages 955-966, November.
    2. Laurence C. Baker, 2000. "Managed Care and Technology Adoption in Health Care: Evidence from Magnetic Resonance Imaging," NBER Working Papers 8020, National Bureau of Economic Research, Inc.
    3. Patricia Ex & Cornelia Henschke, 2019. "Changing payment instruments and the utilisation of new medical technologies," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(7), pages 1029-1039, September.
    4. Mark Duggan & Jonathan Gruber & Boris Vabson, 2015. "The Efficiency Consequences of Health Care Privatization: Evidence from Medicare Advantage Exits," NBER Working Papers 21650, National Bureau of Economic Research, Inc.

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    JEL classification:

    • I1 - Health, Education, and Welfare - - Health

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