Evidence map›Paper›PMID 26948497›Full record

ArticleMedicine, health care, and philosophy2016

Understanding collective agency in bioethics.

Katharina Beier, Isabella Jordan, Claudia Wiesemann, Silke Schicktanz

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Article in Medicine, health care, and philosophy, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
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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

4 authors.

Katharina BeierDepartment of Medical Ethics and History of Medicine, University Medical Center Göttingen, Humboldtallee 36, 37073, Göttingen, Germany.
Isabella JordanDepartment of Medical Ethics and History of Medicine, University Medical Center Göttingen, Humboldtallee 36, 37073, Göttingen, Germany.
Claudia WiesemannDepartment of Medical Ethics and History of Medicine, University Medical Center Göttingen, Humboldtallee 36, 37073, Göttingen, Germany.
Silke SchicktanzDepartment of Medical Ethics and History of Medicine, University Medical Center Göttingen, Humboldtallee 36, 37073, Göttingen, Germany. silke.schicktanz@medizin.uni-goettingen.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bioethicists tend to focus on the individual as the relevant moral subject. Yet, in highly complex and socially differentiated healthcare systems a number of social groups, each committed to a common cause, are involved in medical decisions and sometimes even try to influence bioethical discourses according to their own agenda. We argue that the significance of these collective actors is unjustifiably neglected in bioethics. The growing influence of collective actors in the fields of biopolitics and bioethics leads us to pursue the question as to how collective moral claims can be characterized and justified. We pay particular attention to elaborating the circumstances under which collective actors can claim 'collective agency.' Specifically, we develop four normative-practical criteria for collective agency in order to determine the conditions that must be given to reasonably speak of 'collective autonomy'. For this purpose, we analyze patient organizations and families, which represent two quite different kinds of groups and can both be conceived as collective actors of high relevance for bioethical practice. Finally, we discuss some practical implications and explain why the existence of a shared practice of trust is of immediate normative relevance in this respect.

Indexed as

Bioethical IssuesSocial BehaviorBioethicsFamilyHealth PolicyHumansPatient AdvocacyPoliticsProfessional AutonomyTrustAutonomyBioethicsCollectiveFamilyPatient organizationSocial identityTrust

Identifiers

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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.