Evidence map›Paper›PMID 37930620›Full record

ArticleTheoretical medicine and bioethics2023

The risk of normative bias in reporting empirical research: lessons learned from prenatal screening studies about the prominence of acknowledged limitations.

Panagiota Nakou, Rebecca Bennett

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Article in Theoretical medicine and bioethics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Panagiota NakouDepartment of Law, Centre for Social Ethics and Policy, The University of Manchester, Manchester, M13 9PL, UK. panagiota.nakou@manchester.ac.uk.ORCID 0000-0003-3204-2937
Rebecca BennettDepartment of Law, Centre for Social Ethics and Policy, The University of Manchester, Manchester, M13 9PL, UK.ORCID 0000-0002-2018-9416

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Empirical data can be an extremely powerful and influential tool in bioethical research. However, when researchers or policy makers look for answers to ethical questions by engaging with empirical research, there can be a tendency (conscious or unconscious) to shape, report, and use empirical research in a way that confirms their own preferred ethical conclusions. This skewing effect - what we call 'normative bias' - is often so subtle it falls short of clear misconduct and thus can be difficult to call out. However, we argue that this subtle influence of bias has the potential to significantly influence debate and policy around highly sensitive ethical issues and must be guarded against. In this paper we share the lessons we have learned through a journey of self-reflection around the effect that normative bias can have when reporting on and referring to empirical data relating to ethical issues. We use a variety of papers from our area of the ethics of routine prenatal screening to illustrate these subtle but often powerfully distorting effects of bias. Our aim in doing so is not to criticise the work of others, as we recognise our own normative bias, but to improve awareness of this issue, remind the need for reflexivity to guard against our own biases, and introduce a new criterion - the idea of a 'limitation prominence assessment' - that can work as a practical way to evaluate the seriousness of the limitations of an empirical study and thus, the risks of the study being misread or misinterpreted through superficial reading.

Indexed as

BioethicsEmpirical ResearchEthical AnalysisEthical TheoryHumansBiasDataEmpirical bioethicsPolicyPrenatal screeningReflexivity

Identifiers

PMID37930620
PMCPMC10643326

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