Evidence map›Paper›PMID 31037420›Full record

ArticleHealth care analysis : HCA : journal of health philosophy and policy2019

Why the Elective Caesarean Lottery is Ethically Impermissible.

Elizabeth Chloe Romanis

Abstract read
In one paragraph

Article in Health care analysis : HCA : journal of health philosophy and policy, 2019. 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
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Reviewing the womb.Journal of medical ethics · 2020
    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

1 author.

Elizabeth Chloe RomanisCentre for Social Ethics and Policy, School of Law, University of Manchester, Williamson Building, Oxford Road, Manchester, M13 9PL, UK. elizabeth.romanis@manchester.ac.uk.ORCID http://orcid.org/0000-0002-8774-4015

Funding

Wellcome TrustWellcome Trust 208245/Z/17/Z
6 · The paper itself

Abstract

In the United Kingdom the law and medical guidance is supportive of women making choices in childbirth. NICE guidelines are explicit that a competent woman's informed request for MRCS (elective caesarean in the absence of any clinical indications) should be respected. However, in reality pregnant women are routinely denied MRCS. In this paper I consider whether there is sufficient justification for restricting MRCS. The physical and emotive significance of childbirth as an event in a woman's life cannot be understated. It is, therefore, concerning that women are having their wishes ignored, and we must ascertain whether the denial of agency is justifiable. To answer this question I first demonstrate that access to MRCS is a lottery in the UK. Second, I argue that there is nothing unique about pregnancy that displaces the ethical norm of respecting patents' sufficiently autonomous choices. Thus, the starting presumption is that all informed choices regarding MRCS should be respected. To ascertain whether any restriction of MRCS is justifiable the burden of proof must be placed on those who argue that MRCS is ethically impermissible. I argue that the most common justifications in the literature against MRCS are insufficient to displace the presumption in favour of autonomous choice in childbirth. I conclude that MRCS should be available to pregnant women, and we must strive to reduce the lottery in access to choice.

Indexed as

Personal AutonomyCesarean SectionChoice BehaviorElective Surgical ProceduresFemaleHumansPregnancyPregnant PeopleUnited KingdomAutonomyBirth ethicsCaesarean sectionChildbirthElective caesareansPregnant women

Identifiers

PMID31037420
PMCPMC6817762

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.