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Concept

Resource allocation

4 studiesEvidence last moved Sep 27, 2026

Resource allocation ethics asks how scarce healthcare resources — beds, drugs, clinician time, services — should be distributed justly. The evidence here is three conceptual arguments (sustainability, disability justice in regionalisation, food-insecurity screening) and one empirical-ethics survey of lay intuitions about neonatal intensive-care rationing.

Students often reduce rationing to a one-off choice between patients. These papers widen it: allocation rules have knock-on effects on future supply, justice concerns marginalised groups as well as efficiency, and public intuitions can inform but not decide what is fair.

Studies

4

Findings

4

4 supporting · 0 challenging · 2 qualifying citations

Open tensions

1

Latest change

Concept page published

Resource allocation

Currently

What we know

  1. In this sample, lay people mostly favoured maximising outcomes, with limits when differences were small.
  2. A fair decision today can undermine supply tomorrow.
  3. Restructuring services must be judged by effects on the most marginalised.
  4. Clinician time is a scarce resource, and justice can require spending it on social needs.

Largest unresolved question

Lay respondents in the NICU survey leaned utilitarian, favouring better outcomes and lower costs, while the disability-justice and food-insecurity arguments give priority to the marginalised and worst-off. The survey deliberately gave infants equal need, so it did not test prioritarian intuitions — this is a limit of scope, not a direct refutation.

Common misconceptions

  • If most people prefer a rationing rule, that rule is just.

    The NICU survey authors stress that public intuitions inform reflective equilibrium but cannot by themselves settle what is fair.

  • Resource allocation is only about choosing between patients at one moment.

    The sustainability paper shows procurement rules shape future prices, resistance and supply, and the regionalisation paper judges system design by its effect on marginalised groups.

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