A Systematic Review of Kidney Transplantation Decision Modelling Studies

Mohsen Yaghoubi, Sonya Cressman, Louisa Edwards, Steven Shechter, Mary M. Doyle-Waters, Paul Keown, Ruth Sapir-Pichhadze and Stirling Bryan ()
Additional contact information
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

Applied Health Economics and Health Policy, 2023, vol. 21, issue 1, No 6, 39-51

Abstract: 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

Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s40258-022-00744-x Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:aphecp:v:21:y:2023:i:1:d:10.1007_s40258-022-00744-x

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/40258

DOI: 10.1007/s40258-022-00744-x

Access Statistics for this article

Applied Health Economics and Health Policy is currently edited by Timothy Wrightson

More articles in Applied Health Economics and Health Policy from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().