Evidence map›Paper›PMID 42057760›Full record

ArticleBioethics2026

Information Discrimination and Its Implications on Distributing Healthcare Costs Fairly.

Harisan U Nasir

Abstract read
In one paragraph

Article in Bioethics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Harisan U NasirCentre for Biomedical Ethics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.ORCID https://orcid.org/0000-0002-3268-1416

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

When healthcare resources are scarce, they ought to be distributed fairly across society. For some theories of distribution, an assessment of individual health risk is required for a fair distribution of both healthcare resources and burdens. Despite this requirement, prevailing theories underappreciate the cost of information on health risk. Information relevant to health risk will be ignored when these costs are too high, leading to a form of discrimination that I term "information discrimination". This leads to a potential source of unfairness for any health system that aims to distribute the burdens of healthcare across individuals according to their expected health states. Individuals whose risks are cheap to identify will have their risks personalized whereas individuals whose risks are expensive to identify will have their risks spread across society or the collective. This paper discusses the implications of this unfairness on two types of distributive theories in healthcare: responsibility-sensitive and responsibility-insensitive.

Indexed as

Health Care CostsHealth Care RationingPrejudiceSocial ResponsibilityHumansRisk Assessmentactuarial fairnessdiscriminationfairnesshealth insurancerisk

Identifiers

PMID42057760
PMCPMC13460383

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.