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A Systematic Review of Kidney Transplantation Decision Modelling Studies

Author

Listed:
  • Mohsen Yaghoubi

    (Mercer University College of Pharmacy)

  • Sonya Cressman

    (University of British Columbia)

  • Louisa Edwards

    (University of British Columbia)

  • Steven Shechter

    (University of British Columbia)

  • Mary M. Doyle-Waters

    (University of British Columbia)

  • Paul Keown

    (University of British Columbia)

  • Ruth Sapir-Pichhadze

    (McGill University)

  • Stirling Bryan

    (University of British Columbia)

Abstract

Background Genome-based precision medicine strategies promise to minimize premature graft loss after renal transplantation, through precision approaches to immune compatibility matching between kidney donors and recipients. The potential adoption of this technology calls for important changes to clinical management processes and allocation policy. Such potential policy change decisions may be supported by decision models from health economics, comparative effectiveness research and operations management. Objective We used a systematic approach to identify and extract information about models published in the kidney transplantation literature and provide an overview of the status of our collective model-based knowledge about the kidney transplant process. Methods Database searches were conducted in MEDLINE, Embase, Web of Science and other sources, for reviews and primary studies. We reviewed all English-language papers that presented a model that could be a tool to support decision making in kidney transplantation. Data were extracted on the clinical context and modelling methods used. Results A total of 144 studies were included, most of which focused on a single component of the transplantation process, such as immunosuppressive therapy or donor-recipient matching and organ allocation policies. Pre- and post-transplant processes have rarely been modelled together. Conclusion A whole-disease modelling approach is preferred to inform precision medicine policy, given its potential upstream implementation in the treatment pathway. This requires consideration of pre- and post-transplant natural history, risk factors for allograft dysfunction and failure, and other post-transplant outcomes. Our call is for greater collaboration across disciplines and whole-disease modelling approaches to more accurately simulate complex policy decisions about the integration of precision medicine tools in kidney transplantation. Graphical abstract

Suggested Citation

  • Mohsen Yaghoubi & Sonya Cressman & Louisa Edwards & Steven Shechter & Mary M. Doyle-Waters & Paul Keown & Ruth Sapir-Pichhadze & Stirling Bryan, 2023. "A Systematic Review of Kidney Transplantation Decision Modelling Studies," Applied Health Economics and Health Policy, Springer, vol. 21(1), pages 39-51, January.
    • Handle: RePEc:spr:aphecp:v:21:y:2023:i:1:d:10.1007_s40258-022-00744-x
    DOI: 10.1007/s40258-022-00744-x
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    References listed on IDEAS

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