Evidence map›Paper›PMID 27535798›Full record

ArticleJournal of bioethical inquiry2016

Dialogic Consensus In Clinical Decision-Making.

Paul Walker, Terry Lovat

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of bioethical inquiry, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. The Moral Authority of Consensus.The Journal of medicine and philosophy · 2022
    Article
  4. Article
  5. In Defence of Moral Pluralism and Compromise in Health Care Networks.Health care analysis : HCA : journal of health philosophy and policy · 2018
    Article
  6. Review
  7. Which Lane Should We Be In?Journal of bioethical inquiry · 2016
    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.

Paul WalkerClinical Unit in Ethics and Health Law, Faculty of Medicine and Health, University of Newcastle, Callaghan, NSW, 2308, Australia. walkerp@tpg.com.au.
Terry LovatPhilosophy, Religion & Theology, University of Newcastle, Callaghan, NSW, 2308, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper is predicated on the understanding that clinical encounters between clinicians and patients should be seen primarily as inter-relations among persons and, as such, are necessarily moral encounters. It aims to relocate the discussion to be had in challenging medical decision-making situations, including, for example, as the end of life comes into view, onto a more robust moral philosophical footing than is currently commonplace. In our contemporary era, those making moral decisions must be cognizant of the existence of perspectives other than their own, and be attuned to the demands of inter-subjectivity. Applicable to clinical practice, we propose and justify a Habermasian approach as one useful means of achieving what can be described as dialogic consensus. The Habermasian approach builds around, first, his discourse theory of morality as universalizable to all and, second, communicative action as a cooperative search for truth. It is a concrete way to ground the discourse which must be held in complex medical decision-making situations, in its actual reality. Considerations about the theoretical underpinnings of the application of dialogic consensus to clinical practice, and potential difficulties, are explored.

Indexed as

CommunicationCooperative BehaviorEthics, MedicalInterpersonal RelationsAttitudeAwarenessClinical Decision-MakingConsensusDecision MakingEthical TheoryHumansMoralsPhilosophyPhysician-Patient RelationsConsensusDialogueDiscourse EthicsHabermasMoral Decision-Making

Identifiers

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.