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The determinants of medical technology adoption in different decisional systems: A systematic literature review

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  • Varabyova, Yauheniya
  • Blankart, Carl Rudolf
  • Greer, Ann Lennarson
  • Schreyögg, Jonas

Abstract

Studies of determinants of adoption of new medical technology have failed to coalesce into coherent knowledge. A flaw obscuring strong patterns may be a common habit of treating a wide range of health care innovations as a generic technology. We postulate three decisional systems that apply to different medical technologies with distinctive expertise, interest, and authority: medical-individualistic, fiscal-managerial, and strategic-institutional decisional systems. This review aims to examine the determinants of the adoption of medical technologies based on the corresponding decision-making system. We included quantitative and qualitative studies that analyzed factors facilitating or inhibiting the adoption of medical technologies. In total, 65 studies published between 1974 and 2014 met our inclusion criteria. These studies contained 688 occurrences of variables that were used to examine the adoption decisions, and we subsequently condensed these variables to 62 determinants in four main categories: organizational, individual, environmental, and innovation-related. The determinants and their empirical association with adoption were grouped and analyzed by the three decision-making systems. Although we did not identify substantial differences across the decision-making systems in terms of the direction of the determinants’ influence on adoption, a clear pattern emerged in terms of the categories of determinants that were targeted in different decision-making systems.

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  • Varabyova, Yauheniya & Blankart, Carl Rudolf & Greer, Ann Lennarson & Schreyögg, Jonas, 2017. "The determinants of medical technology adoption in different decisional systems: A systematic literature review," Health Policy, Elsevier, vol. 121(3), pages 230-242.
  • Handle: RePEc:eee:hepoli:v:121:y:2017:i:3:p:230-242
    DOI: 10.1016/j.healthpol.2017.01.005
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    1. Mickael Bech & Terkel Christiansen & Kelly Dunham & Jørgen Lauridsen & Carl Hampus Lyttkens & Kathryn McDonald & Alistair McGuire & and the TECH Investigators, 2009. "The influence of economic incentives and regulatory factors on the adoption of treatment technologies: a case study of technologies used to treat heart attacks," Health Economics, John Wiley & Sons, Ltd., vol. 18(10), pages 1114-1132, October.
    2. Robertson, Thomas S & Wind, Yoram, 1980. "Organizational Psychographics and Innovativeness," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 7(1), pages 24-31, June.
    3. Robert S. Huckman, 2003. "The Utilization of Competing Technologies Within the Firm: Evidence from Cardiac Procedures," Management Science, INFORMS, vol. 49(5), pages 599-617, May.
    4. Richard A. Wolfe, 1994. "Organizational Innovation: Review, Critique And Suggested Research Directions," Journal of Management Studies, Wiley Blackwell, vol. 31(3), pages 405-431, May.
    5. Finocchiaro Castro, Massimo & Guccio, Calogero & Pignataro, Giacomo & Rizzo, Ilde, 2014. "The effects of reimbursement mechanisms on medical technology diffusion in the hospital sector in the Italian NHS," Health Policy, Elsevier, vol. 115(2), pages 215-229.
    6. Baker, Laurence C., 2001. "Managed care and technology adoption in health care: evidence from magnetic resonance imaging," Journal of Health Economics, Elsevier, vol. 20(3), pages 395-421, May.
    7. Slade, Eric P. & Anderson, Gerard F., 2001. "The relationship between per capita income and diffusion of medical technologies," Health Policy, Elsevier, vol. 58(1), pages 1-14, October.
    8. Davide Consoli & Andrea Mina, 2009. "An evolutionary perspective on health innovation systems," Journal of Evolutionary Economics, Springer, vol. 19(2), pages 297-319, April.
    9. David Moher & Alessandro Liberati & Jennifer Tetzlaff & Douglas G Altman & The PRISMA Group, 2009. "Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement," PLOS Medicine, Public Library of Science, vol. 6(7), pages 1-6, July.
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    2. Barrenho, Eliana & Miraldo, Marisa & Propper, Carol & Walsh, Brendan, 2021. "The importance of surgeons and their peers in adoption and diffusion of innovation: An observational study of laparoscopic colectomy adoption and diffusion in England," Social Science & Medicine, Elsevier, vol. 272(C).
    3. Sara Ghaboulian Zare & Reza Hafezi & Mohammad Alipour & Reza Parsaei Tabar & Rodney A. Stewart, 2021. "Residential Solar Water Heater Adoption Behaviour: A Review of Economic and Technical Predictors and Their Correlation with the Adoption Decision," Energies, MDPI, vol. 14(20), pages 1-26, October.
    4. Alipour, M. & Salim, H. & Stewart, Rodney A. & Sahin, Oz, 2020. "Predictors, taxonomy of predictors, and correlations of predictors with the decision behaviour of residential solar photovoltaics adoption: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 123(C).
    5. Lin, Xiaojun & Lu, Liyong & Pan, Jay, 2021. "Hospital market competition and health technology diffusion: An empirical study of laparoscopic appendectomy in China," Social Science & Medicine, Elsevier, vol. 286(C).

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