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Accepted for/Published in: JMIR Research Protocols

Date Submitted: Oct 15, 2024
Open Peer Review Period: Oct 15, 2024 - Dec 10, 2024
Date Accepted: May 31, 2025
Date Submitted to PubMed: Jun 4, 2025
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

Using Linked Health Service Data in Multimodal Modeling of Kidney Transplant Waitlist Outcomes: Protocol for the Maximizing Organ Donor Utility Systemwide (MODUS) Study

Rosales BM, Shah K, De La Mata N, Baldwin H, Hedley J, Clayton P, Wyld M, Kelly P, Wyburn K, Morton R, Webster A

Using Linked Health Service Data in Multimodal Modeling of Kidney Transplant Waitlist Outcomes: Protocol for the Maximizing Organ Donor Utility Systemwide (MODUS) Study

JMIR Res Protoc 2025;14:e67588

DOI: 10.2196/67588

PMID: 40462280

PMCID: 12344388

Maximizing Organ Donor Utility System-wide (MODUS): A study protocol for using linked health services data in multi-modal modelling of kidney transplant waitlist outcomes

  • Brenda Maria Rosales; 
  • Karan Shah; 
  • Nicole De La Mata; 
  • Heather Baldwin; 
  • James Hedley; 
  • Philip Clayton; 
  • Melanie Wyld; 
  • Patrick Kelly; 
  • Kate Wyburn; 
  • Rachael Morton; 
  • Angela Webster

ABSTRACT

Background:

Increasing deceased organ donation is a global priority constrained by concerns of inadvertent transmission of cancer or infectious disease from deceased organ donors. Up to 60% of potential donors referred for consideration for deceased organ donation in Australia do not proceed for biovigilance concerns. However, there are opportunities to increase acceptance.

Objective:

We aim to describe the impact of accepting or declining potential donors forgone for biovigilance concerns on patient and transplant outcomes.

Methods:

We will use data for all potential donors referred for consideration for deceased organ donation and data for patients ever waitlisted for kidney transplantation in New South Wales, Australia’s most populous state, 2010-2020. We will 1) describe the patient journey on the kidney transplant waitlist, including episodes of suspension and reactivation, time waiting and whether transplanted; 2) describe the characteristics of patients on the kidney transplant waitlist who decline a deceased donor organ offer and patient outcomes after their first decline; 3) determine potential gains made through increased donor acceptance and profile potential donors forgone for medical suitability; 4) use economic modelling to investigate the benefits and costs of increasing donor acceptance.

Results:

Funded in 2018 by the National Health and Medical Research Council. Linked health data was received in 2023. Data analysis is ongoing, and results will be published in 2025.

Conclusions:

Research findings will be presented at scientific conferences, published in the scientific media, and via collaborator networks. Clinical Trial: Nil


 Citation

Please cite as:

Rosales BM, Shah K, De La Mata N, Baldwin H, Hedley J, Clayton P, Wyld M, Kelly P, Wyburn K, Morton R, Webster A

Using Linked Health Service Data in Multimodal Modeling of Kidney Transplant Waitlist Outcomes: Protocol for the Maximizing Organ Donor Utility Systemwide (MODUS) Study

JMIR Res Protoc 2025;14:e67588

DOI: 10.2196/67588

PMID: 40462280

PMCID: 12344388

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