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Addressing Adoption and Research Design Decisions Simultaneously

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  • Claire McKenna
  • Karl Claxton

Abstract

Methods to estimate the cost-effectiveness of technologies are well developed with increasing experience of their application to inform adoption decisions in a timely way. However, the experience of using similarly explicit methods to inform the associated research decisions is less well developed despite appropriate methods being available with an increasing number of applications in health. The authors demonstrate that evaluation of both adoption and research decisions is feasible within typical time and resource constraints relevant to policy decisions, even in situations in which data are sparse and formal elicitation is required. In addition to demonstrating the application of expected value of sample information (EVSI) in these circumstances, the authors examine and carefully distinguish the impact that the research decision is expected to have on patients while enrolled in the trial, those not enrolled, and once the trial reports. In doing so, the authors are able to account for the range of opportunity cost associated with research and evaluate a number of research designs including length of follow-up and sample size. The authors also explore the implications for research design of conducting research while the technology is approved for widespread use and whether approval should be withheld until research reports. In doing so, the authors highlight the impact of irrecoverable opportunity costs when the initial costs of a technology are compensated only by later gains in health outcome.

Suggested Citation

  • Claire McKenna & Karl Claxton, 2011. "Addressing Adoption and Research Design Decisions Simultaneously," Medical Decision Making, , vol. 31(6), pages 853-865, November.
  • Handle: RePEc:sae:medema:v:31:y:2011:i:6:p:853-865
    DOI: 10.1177/0272989X11399921
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    References listed on IDEAS

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    Cited by:

    1. Malek B Hannouf & Chander Sehgal & Jeffrey Q Cao & Joseph D Mocanu & Eric Winquist & Gregory S Zaric, 2012. "Cost-Effectiveness of Adding Cetuximab to Platinum-Based Chemotherapy for First-Line Treatment of Recurrent or Metastatic Head and Neck Cancer," PLOS ONE, Public Library of Science, vol. 7(6), pages 1-9, June.
    2. Haitham Tuffaha & Shelley Roberts & Wendy Chaboyer & Louisa Gordon & Paul Scuffham, 2015. "Cost-Effectiveness and Value of Information Analysis of Nutritional Support for Preventing Pressure Ulcers in High-risk Patients: Implement Now, Research Later," Applied Health Economics and Health Policy, Springer, vol. 13(2), pages 167-179, April.
    3. Karl Claxton & Elisabeth Fenwick & Mark J. Sculpher, 2012. "Decision-making with Uncertainty: The Value of Information," Chapters, in: Andrew M. Jones (ed.), The Elgar Companion to Health Economics, Second Edition, chapter 51, Edward Elgar Publishing.
    4. Peter S. Hall & Richard Edlin & Samer Kharroubi & Walter Gregory & Christopher McCabe, 2012. "Expected Net Present Value of Sample Information," Medical Decision Making, , vol. 32(3), pages 11-21, May.
    5. A C Bouman & A J ten Cate-Hoek & B L T Ramaekers & M A Joore, 2015. "Sample Size Estimation for Non-Inferiority Trials: Frequentist Approach versus Decision Theory Approach," PLOS ONE, Public Library of Science, vol. 10(6), pages 1-14, June.
    6. Rowan Iskandar & Carlo Federici & Cassandra Berns & Carl Rudolf Blankart, 2022. "An approach to quantify parameter uncertainty in early assessment of novel health technologies," Health Economics, John Wiley & Sons, Ltd., vol. 31(S1), pages 116-134, September.
    7. Karl Claxton & Stephen Palmer & Louise Longworth & Laura Bojke & Susan Griffin & Claire McKenna & Marta Soares & Eldon Spackman & Jihee Youn, 2011. "Uncertainty, evidence and irrecoverable costs: Informing approval, pricing and research decisions for health technologies," Working Papers 069cherp, Centre for Health Economics, University of York.
    8. Penny Breeze & Alan Brennan, 2015. "Valuing Trial Designs from a Pharmaceutical Perspective Using Value‐Based Pricing," Health Economics, John Wiley & Sons, Ltd., vol. 24(11), pages 1468-1482, November.
    9. Michael Drummond & Carlo Federici & Vivian Reckers‐Droog & Aleksandra Torbica & Carl Rudolf Blankart & Oriana Ciani & Zoltán Kaló & Sándor Kovács & Werner Brouwer, 2022. "Coverage with evidence development for medical devices in Europe: Can practice meet theory?," Health Economics, John Wiley & Sons, Ltd., vol. 31(S1), pages 179-194, September.
    10. Carlo Federici & Leandro Pecchia, 2022. "Exploring the misalignment on the value of further research between payers and manufacturers. A case study on a novel total artificial heart," Health Economics, John Wiley & Sons, Ltd., vol. 31(S1), pages 98-115, September.
    11. Afschin Gandjour, 2015. "A model to optimize investments in health technologies, quality of care and research," Applied Economics, Taylor & Francis Journals, vol. 47(20), pages 2031-2039, April.
    12. Claire Rothery & Karl Claxton & Stephen Palmer & David Epstein & Rosanna Tarricone & Mark Sculpher, 2017. "Characterising Uncertainty in the Assessment of Medical Devices and Determining Future Research Needs," Health Economics, John Wiley & Sons, Ltd., vol. 26(S1), pages 109-123, February.
    13. Hester V Eeren & Saskia J Schawo & Ron H J Scholte & Jan J V Busschbach & Leona Hakkaart, 2015. "Value of Information Analysis Applied to the Economic Evaluation of Interventions Aimed at Reducing Juvenile Delinquency: An Illustration," PLOS ONE, Public Library of Science, vol. 10(7), pages 1-15, July.
    14. Lauren E. Cipriano & Thomas A. Weber, 2018. "Population-level intervention and information collection in dynamic healthcare policy," Health Care Management Science, Springer, vol. 21(4), pages 604-631, December.

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