Medical Interventions / Genetics of Disease · September 16 · 80 minutes
Separate hypothetical kidney-allocation model
Practice model, not a submission
Two submissions: one CER and one short source/progress Google Doc. Due: September 16, 11:59 p.m.
A separate kidney-allocation model
Use the five-part structure. The kidney facts are not evidence about the 50-kit clinic, and the model is not another submission.
Hypothetical practice, not the answer to the 50-kit clinic task. This is not a real transplant decision or a summary of U.S. allocation policy. No individual transplant outcomes are supplied.
Scenario
There is one donor kidney and three compatible fictional patients. Patient A has waited four years. Patient B is nineteen and otherwise healthy. Patient C is stipulated to decline fastest without a transplant. These facts make priorities compete; they do not predict how long a transplant would work for each patient.
Claim
For this classroom case, I would give expected benefit substantial weight and also consider waiting time. This is my proposed priority, not a clinical ranking of A, B and C.
Evidence
The case supplies one kidney, three compatible patients and their different circumstances. A's wait, B's age and health description, and C's expected decline give reasons to discuss competing priorities. They do not supply rejection-risk results or individual transplant-outcome estimates.
Reasoning
My proposed rule makes expected benefit and waiting time explicit values. As a separate thought experiment, fifteen years of kidney function would be a longer-lasting outcome than two years. Those durations are not forecasts for these patients, and longevity alone does not settle fairness.
Limitation
The case does not provide the individual medical evidence needed to estimate benefit or rank these three patients. Sickness or urgency alone does not establish rejection risk or how long an organ would function. Real U.S. allocation uses organ-specific policies, medical matching and several priority factors; this classroom rule is not that algorithm.
Rebuttal
A most-need rule gives priority to the person at greatest immediate risk, which is a serious fairness concern. My proposed rule could leave that person waiting, and I must acknowledge that cost. I would need individual medical evidence before ranking these three patients.
Use the structure, not the case facts
Notice the five labeled parts: claim, evidence, reasoning, limitation and rebuttal. The writer states a value, uses only supplied facts and acknowledges a cost. Different rules can be defended when their values and limits are made clear.
Use that structure for your own test-allocation CER. Do not turn the kidney case into a second submission, a real clinical recommendation or evidence about the hypothetical clinic.
Sources behind the model's limits
- HRSA: ethical principles in organ allocation.
- HRSA: how organ allocation works.
- NIDDK: kidney transplant.
These optional sources provide background. They are not patient outcome data or additional required assignments.
Connection to PLTW
Activity 1.1.5 ELISA is the official unit source. Today's local allocation discussion does not run an assay, complete that activity or authorize a wet lab. Record actual progress or an access obstacle without claiming unperformed work.
- Activity 1.1.5 ELISA: official unit source for the progress record.
Original ethics practice: compare allocation rules. No curated WebXam outcome is claimed, and no lab technique is practiced today.
Submit each product once
Submit one CER PDF to assignment 8520302515 by September 16 at 11:59 p.m. If your teacher collected your paper CER, the existing collected-paper exception applies. This item is 15 points in Assessments.
Submit the allocation CERAttach one short Google Doc with the three progress entries to assignment 8520302557 by September 16 at 11:59 p.m. This item is 6 points in PLTW Work. The paper exception applies to the CER only.
Attach the source/progress Google DocGuided notes, reflection and the worked model are optional support, not additional submissions.
This hypothetical scenario supports comparing allocation rules and tradeoffs. It cannot establish patient outcomes or a uniquely fair clinical answer. A value judgment is not a measured result.
