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Estimating Costs of an Implementation Intervention

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  • Todd H. Wagner

    (Health Economics Resource Center, US Department of Veterans Affairs (VA) Palo Alto Health Care System, Menlo Park, CA, USA
    Department of Surgery, Stanford University, Stanford, CA, USA)

  • Jean Yoon

    (Health Economics Resource Center, US Department of Veterans Affairs (VA) Palo Alto Health Care System, Menlo Park, CA, USA)

  • Josephine C. Jacobs

    (Health Economics Resource Center, US Department of Veterans Affairs (VA) Palo Alto Health Care System, Menlo Park, CA, USA)

  • Angela So

    (Health Economics Resource Center, US Department of Veterans Affairs (VA) Palo Alto Health Care System, Menlo Park, CA, USA)

  • Amy M. Kilbourne

    (US Department of Veterans Affairs (VA) Quality Enhancement Research Initiative, Washington, DC, USA
    University of Michigan Medical School, Department of Learning Health Sciences, Ann Arbor, MI, USA)

  • Wei Yu

    (Health Economics Resource Center, US Department of Veterans Affairs (VA) Palo Alto Health Care System, Menlo Park, CA, USA)

  • David E. Goodrich

    (Center for Evaluation and Implementation Resources, US Department of Veterans Affairs (VA), Ann Arbor, MI, USA
    Center for Clinical Management Research, US Department of Veterans Affairs (VA) Ann Arbor Healthcare System, Ann Arbor, MI, USA)

Abstract

Health care systems frequently have to decide whether to implement interventions designed to reduce gaps in the quality of care. A lack of information on the cost of these interventions is often cited as a barrier to implementation. In this article, we describe methods for estimating the cost of implementing a complex intervention. We review methods related to the direct measurement of labor, supplies and space, information technology, and research costs. We also discuss several issues that affect cost estimates in implementation studies, including factor prices, fidelity, efficiency and scale of production, distribution, and sunk costs. We examine case studies for stroke and depression, where evidence-based treatments exist and yet gaps in the quality of care remain. Understanding the costs for implementing strategies to reduce these gaps and measuring them consistently will better inform decision makers about an intervention’s likely effect on their budget and the expected costs to implement new interventions.

Suggested Citation

  • Todd H. Wagner & Jean Yoon & Josephine C. Jacobs & Angela So & Amy M. Kilbourne & Wei Yu & David E. Goodrich, 2020. "Estimating Costs of an Implementation Intervention," Medical Decision Making, , vol. 40(8), pages 959-967, November.
  • Handle: RePEc:sae:medema:v:40:y:2020:i:8:p:959-967
    DOI: 10.1177/0272989X20960455
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    References listed on IDEAS

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    1. Jeffrey S. Hoch & Andrew H. Briggs & Andrew R. Willan, 2002. "Something old, something new, something borrowed, something blue: a framework for the marriage of health econometrics and cost‐effectiveness analysis," Health Economics, John Wiley & Sons, Ltd., vol. 11(5), pages 415-430, July.
    2. Borislava Mihaylova & Andrew Briggs & Anthony O'Hagan & Simon G. Thompson, 2011. "Review of statistical methods for analysing healthcare resources and costs," Health Economics, John Wiley & Sons, Ltd., vol. 20(8), pages 897-916, August.
    3. Aaron A. Stinnett & John Mullahy, 1998. "Net Health Benefits: A New Framework for the Analysis of Uncertainty in Cost-Effectiveness Analysis," NBER Technical Working Papers 0227, National Bureau of Economic Research, Inc.
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    Cited by:

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