Evidence map›Paper›PMID 42752787›Full record

ArticleHealth care analysis : HCA : journal of health philosophy and policy2026

Early Clinical Mediation in End-of-Life Disputes: A Procedural Justice Analysis.

Olympia Lioupi

Abstract read
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In one paragraph

Article in Health care analysis : HCA : journal of health philosophy and policy, 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.

Olympia LioupiUniversity of Thessaly, Volos, Greece. olioupi@uth.gr.ORCID https://orcid.org/0009-0004-0821-0747

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Conflicts arise when surrogates request life-sustaining treatments that clinicians consider medically futile. This article proposes that early presumptive medical mediation with opt-out provisions should become the default initial offer for resolving such disputes. Grounded in Rawlsian procedural justice and the virtue of epistemic humility, and informed by limited and indirect evidence from healthcare mediation and ICU communication-facilitation programs, this approach offers a fair-process dialogue that can support patient-centered deliberation and clinician integrity when embedded within appropriate legal and ethical safeguards. Mediation offers four procedural advantages: (a) protected and appropriately inclusive voice, (b) confidential caucus, (c) interest-based framing, and (d) outcome ownership. Unlike arbitration or ethics committee determinations, mediation is structured around voluntary participation, mediator neutrality and confidentiality. It does not impose a binding outcome or reallocate legal decision-making authority. These procedural features distinguish mediation from adjudicative or advisory processes, although their comparative effectiveness is context-dependent. Statutory "safe-harbor" models, such as the Texas Advance Directives Act, illustrate how structured dispute-resolution frameworks can be embedded in policy, although they do not themselves constitute mediation. Embedding an early, structured offer of mediation in end-of-life policy may reduce escalation and strengthen the procedural legitimacy and acceptability of decision-making when voluntariness and appropriate clinical, ethical and legal safeguards are maintained. However, it cannot guarantee agreement, shorter ICU stays, reduced litigation, or substantively correct ethical outcomes.

Indexed as

Bioethics policyEnd-of-life careIntensive care ethicsMediationMedical futilityProcedural justice

Identifiers

PMID42752787

What OpenQuestion holds

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Registered trials

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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.