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Diffusion of complementary evolving pharmaceutical innovations: The case of Abacavir and its pharmacogenetic companion diagnostic in Italy

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  • Gagliardi, Dimitri
  • Ramlogan, Ronnie
  • Navarra, Pierluigi
  • Dello Russo, Cinzia

Abstract

Innovation is increasingly important in the delivery of efficient healthcare; however, the pathways through which medical innovation reach clinical practice are fraught with uncertainty. Further scientific investigation and technological development are normal in medical innovation even when drugs, diagnostics or medical procedures are already adopted. Diffusion studies rarely admit such possibilities as a fundamental element of their conceptual frameworks. This paper explores the diffusion process of an antiretroviral drug (Abacavir) and the introduction of its companion pharmacogenetic test into clinical practice in Italy. This is a landmark case of translational medicine where the principles of pharmacogenetics made an important - applied - contribution to medical innovation shifting the focus away from the diffusion of a complete technology (the drug) towards that of a dynamic technology (Abacavir + developing companion diagnostics). We adopt the historical method to analyse the sequence of events. Key findings show that the diffusion process of a dynamic technology does not fit in the widely accepted S-shaped model for a complete technology. The diffusion phase presents complex interactions amongst the stakeholders involved, each operating on the basis of their own competences within the environment and the regulatory system; the analysis of the diffusion process should proceed through the correct identification of the dynamic technology – the therapy – and cannot be de-coupled from scientific discovery and technological development.

Suggested Citation

  • Gagliardi, Dimitri & Ramlogan, Ronnie & Navarra, Pierluigi & Dello Russo, Cinzia, 2018. "Diffusion of complementary evolving pharmaceutical innovations: The case of Abacavir and its pharmacogenetic companion diagnostic in Italy," Technological Forecasting and Social Change, Elsevier, vol. 134(C), pages 223-233.
  • Handle: RePEc:eee:tefoso:v:134:y:2018:i:c:p:223-233
    DOI: 10.1016/j.techfore.2018.06.014
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    1. Cho, Youngsang & Hwang, Junseok & Lee, Daeho, 2012. "Identification of effective opinion leaders in the diffusion of technological innovation: A social network approach," Technological Forecasting and Social Change, Elsevier, vol. 79(1), pages 97-106.
    2. Mary A. Burke & Gary M. Fournier & Kislaya Prasad, 2007. "The Diffusion of a Medical Innovation: Is Success in the Stars?," Southern Economic Journal, Southern Economic Association, vol. 73(3), pages 588-603, January.
    3. McKinlay, John B. & Marceau, Lisa D., 2012. "From cottage industry to a dominant mode of primary care: Stages in the diffusion of a health care innovation (retail clinics)," Social Science & Medicine, Elsevier, vol. 75(6), pages 1134-1141.
    4. Teresa Kauf & Raymond Farkouh & Stephanie Earnshaw & Maria Watson & Penny Maroudas & Mike Chambers, 2010. "Economic Efficiency of Genetic Screening to Inform the Use of Abacavir Sulfate in the Treatment of HIV," PharmacoEconomics, Springer, vol. 28(11), pages 1025-1039, November.
    5. Joel Mokyr, 1998. "Induced technical innovation and medical history: an evolutionary approach," Journal of Evolutionary Economics, Springer, vol. 8(2), pages 119-137.
    6. Jerome-D'Emilia, Bonnie & Begun, James W., 2005. "Diffusion of breast conserving surgery in medical communities," Social Science & Medicine, Elsevier, vol. 60(1), pages 143-151, January.
    7. Shen, Chan & Tina Shih, Ya-Chen, 2016. "Therapeutic substitutions in the midst of new technology diffusion: The case of treatment for localized prostate cancer," Social Science & Medicine, Elsevier, vol. 151(C), pages 110-120.
    8. Barberá-Tomás, David & Consoli, Davide, 2012. "Whatever works: Uncertainty and technological hybrids in medical innovation," Technological Forecasting and Social Change, Elsevier, vol. 79(5), pages 932-948.
    9. Frank M. Bass, 1969. "A New Product Growth for Model Consumer Durables," Management Science, INFORMS, vol. 15(5), pages 215-227, January.
    10. Mina, A. & Ramlogan, R. & Tampubolon, G. & Metcalfe, J.S., 2007. "Mapping evolutionary trajectories: Applications to the growth and transformation of medical knowledge," Research Policy, Elsevier, vol. 36(5), pages 789-806, June.
    11. Jesse J Swen & Tom W Huizinga & Hans Gelderblom & Elisabeth G E de Vries & Willem J J Assendelft & Julia Kirchheiner & Henk-Jan Guchelaar, 2007. "Translating Pharmacogenomics: Challenges on the Road to the Clinic," PLOS Medicine, Public Library of Science, vol. 4(8), pages 1-8, August.
    12. Greenhalgh, Trisha & Robert, Glenn & Macfarlane, Fraser & Bate, Paul & Kyriakidou, Olympia & Peacock, Richard, 2005. "Storylines of research in diffusion of innovation: a meta-narrative approach to systematic review," Social Science & Medicine, Elsevier, vol. 61(2), pages 417-430, July.
    13. Ferreira, Kevin D. & Lee, Chi-Guhn, 2014. "An integrated two-stage diffusion of innovation model with market segmented learning," Technological Forecasting and Social Change, Elsevier, vol. 88(C), pages 189-201.
    14. Jonathan Skinner & Douglas Staiger, 2005. "Technology adoption from hybrid corn to beta blockers," Proceedings, Federal Reserve Bank of San Francisco.
    15. Metcalfe, J.S. & James, Andrew & Mina, Andrea, 2005. "Emergent innovation systems and the delivery of clinical services: The case of intra-ocular lenses," Research Policy, Elsevier, vol. 34(9), pages 1283-1304, November.
    16. Frank M. Bass & Kent Gordon & Teresa L. Ferguson & Mary Lou Githens, 2001. "DIRECTV: Forecasting Diffusion of a New Technology Prior to Product Launch," Interfaces, INFORMS, vol. 31(3_supplem), pages 82-93, June.
    17. Jonathan Skinner & Douglas Staiger, 2007. "Technology Adoption from Hybrid Corn to Beta-Blockers," NBER Chapters, in: Hard-to-Measure Goods and Services: Essays in Honor of Zvi Griliches, pages 545-570, National Bureau of Economic Research, Inc.
    18. Guseo, Renato & Guidolin, Mariangela, 2015. "Heterogeneity in diffusion of innovations modelling: A few fundamental types," Technological Forecasting and Social Change, Elsevier, vol. 90(PB), pages 514-524.
    19. Davide Consoli & Ronnie Ramlogan, 2008. "Out of sight: problem sequences and epistemic boundaries of medical know-how on glaucoma," Journal of Evolutionary Economics, Springer, vol. 18(1), pages 31-56, February.
    20. Tutton, Richard, 2012. "Personalizing medicine: Futures present and past," Social Science & Medicine, Elsevier, vol. 75(10), pages 1721-1728.
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