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Should We Use Behavioural Predictions in Organ Allocation?
Max Drezga-Kleiminger1,2, Dominic Wilkinson2,3,4, Thomas Douglas2
1Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia.
Bioethics
|June 30, 2025
Summary
Medical predictions for organ allocation are ethically debated. A UK survey found most adults support using predictions of medication adherence and reduced alcohol use for liver transplant priority.
Area of Science:
- Medical Ethics
- Transplant Surgery
- Health Psychology
Background:
- Medical predictions aid resource allocation, including patient survival likelihood.
- Patient behavior predictions, such as medication adherence and alcohol use, are debated for use in organ transplant prioritization.
Purpose of the Study:
- To explore ethical arguments for and against using patient behavioral predictions in organ allocation.
- To gather empirical evidence on public acceptance of behavioral predictions in liver transplant prioritization.
Main Methods:
- Literature review of ethical arguments surrounding behavioral predictions in healthcare.
- Online survey of 172 UK adults assessing acceptance of various prediction factors for liver allocation.
- Experimental design randomizing participants to evaluate deprioritization based on predicted adherence.
Main Results:
- A majority of participants supported using predictions of higher medication adherence and lower alcohol use for liver allocation.
- Most participants found deprioritizing a patient based on predicted medication adherence acceptable.
- No significant ethical difference was found between behavioral and non-behavioral predictions in current organ allocation practices.
Conclusions:
- Empirical evidence suggests public support for incorporating behavioral predictions, particularly regarding adherence and substance use, into organ allocation decisions.
- Behavioral predictions in organ allocation may be ethically justifiable and align with existing medical prediction practices.
- Further research is warranted to refine the ethical framework for utilizing behavioral predictions in transplant prioritization.

