Evidence map›Paper›PMID 42018521›Full record

ArticleNursing philosophy : an international journal for healthcare professionals2026

The Limbic Brain, Moral Distress and Ethical Decision-Making in Nursing Practice.

Alicia Wickens

Abstract read
In one paragraph

Article in Nursing philosophy : an international journal for healthcare professionals, 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
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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

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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.

Alicia WickensAthabasca University, Athabasca, Canada.ORCID https://orcid.org/0009-0006-7301-7569

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nursing practice unfolds at the intersection of the body's regulatory systems and the emotional and social realities of care. The paper examines how the limbic brain mediates between the body's internal environment, interoception, allostatic regulation and autonomic arousal, and the external social world shaped by hierarchy, norms, power and institutional pressures. It also explores how this mediating role influences moral perception and clinical decision-making. Drawing on Damasio's somatic marker hypothesis and contemporary work on affective neuroscience, I analyse the strengths and limitations of the claim that emotion is not opposed to reason but an essential element of it. I integrate the complementary neurocognitive perspectives of predictive processing, interoceptive inference and the neural architecture of moral emotion, with nursing ethics literature on moral distress, to show how affective states can both guide and distort clinical judgement, particularly under chronic threat. To ground this analysis, I draw on Foucault's genealogy of discipline and visibility, Morgan's account of modern suffering and Arnault's exploration of redemption. Emotions such as guilt, shame, compassion, elevation and hope are examined as morally significant emotions that can undermine or strengthen nurses' professional integrity. Evidence-informed strategies are proposed for nursing leaders to transform moral distress into moral resilience through relational governance, psychologically safe practices and ethical policy design. The paper concludes that ethical clinical decision-making is a whole-body, socially embedded achievement and that cultivating ethical climates requires attending not only to rules and resources but also to how organizations shape the affective and relational environments in which nurses think, feel and act.

Indexed as

Decision MakingEthics, NursingLimbic SystemMoralsEmotionsEthical DilemmasHumansaffective neuroscienceclinical judgementethical decision‐makinglimbic brainmoral distressmoral resiliencenursing ethics

Identifiers

PMID42018521
PMCPMC13102274

What OpenQuestion holds

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LicenceCC BY
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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.