Evidence map›Paper›PMID 42340328›Full record

ArticleBioethics2026

The Concept of Harm in Medical Ethics.

Marie-Christine Fritzsche, Charlotte Franziska Unruh

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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

2 authors.

Marie-Christine FritzscheInstitute of History and Ethics in Medicine, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany.
Charlotte Franziska UnruhDepartment of Philosophy, University of Southampton, Southampton, Hampshire, UK.ORCID https://orcid.org/0000-0003-3953-7617

Funding

European Union's Horizon 2020, BIOMAP 821511
6 · The paper itself

Abstract

The concept of harm is central to medical ethics. In particular, it is frequently used in ethical deliberation about clinical cases and harm-benefit analyses. Despite its significance, there has been surprisingly little discussion in practice about conceptual approaches and the nature of harm in medical ethics analyses. We examine how different conceptual accounts of harm shape ethical decision making through examples from clinical ethics consultation and data-intensive medical innovations. By applying three prevailing theoretical-philosophical frameworks-the counterfactual, temporal, and non-comparative accounts of harm-to these cases, we demonstrate that explicitly identifying and discussing stakeholders' varying concepts of harm is crucial for ethical analyses in medicine and healthcare. While harm is only one of many considerations influencing medical ethics decision-making, our analysis reveals that different conceptualisations of harm can lead to substantively different practical outcomes. In this way, how we understand harm can affect recommendation processes, stakeholder communication, and assessments of quality of life and best interests. Without making different types of harm explicit, stakeholders might talk past each other when weighing harm against benefit, as what constitutes harm in one case may not be considered harm in another. We argue that explicit consideration of the nature of harm ensures comprehensive ethical deliberation, and integrates multiple perspectives in healthcare settings. Our findings suggest that the ethical importance of conceptual analysis of harm extends beyond mere theoretical interest, with direct implications for clinical practice and ethical decision making in healthcare.

Indexed as

Decision MakingEthical AnalysisEthics, MedicalEthics ConsultationHumansQuality of Lifeartificial intelligencebiomarkersclinical ethics consultationcounterfactual account of harmethicsharm

Identifiers

PMID42340328
PMCPMC13570774

What OpenQuestion holds

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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.