Literature DB >> 33557813

"It's all about delivery": researchers and health professionals' views on the moral challenges of accessing neurobiological information in the context of psychosis.

Paolo Corsico1.   

Abstract

BACKGROUND: The convergence of neuroscience, genomics, and data science holds promise to unveil the neurobiology of psychosis and to produce new ways of preventing, diagnosing, and treating psychotic illness. Yet, moral challenges arise in neurobiological research and in the clinical translation of research findings. This article investigates the views of relevant actors in mental health on the moral challenges of accessing neurobiological information in the context of psychosis.
METHODS: Semi-structured individual interviews with two groups: researchers employed in the National Health Service (NHS) or a university in England (n = 14), and mental health professionals employed in NHS mental health services (n = 14). This article compares results in the two groups (total n = 28).
RESULTS: This article presents findings around three conceptual areas: (1) research ethics as mostly unproblematic, (2) psychosis, neurobiological information, and mental health care, and (3) identity, relationships, and the future. These areas are drawn from the themes and topics that emerged in the interviews across the two groups of participants. Researchers and health professionals provided similar accounts of the moral challenges of accessing-which includes acquisition, communication, and use of-neurobiological information in the context of psychosis. Acquiring neurobiological information was perceived as mostly unproblematic, provided ethical safeguards are put in place. Conversely, participants argued that substantive moral challenges arise from how neurobiological information is delivered-that is, communicated and used-in research and in clinical care. Neurobiological information was seen as a powerful tool in the process through which individuals define their identity and establish personal and clinical goals. The pervasiveness of this narrative tool may influence researchers and health professionals' perception of ethical principles and moral obligations.
CONCLUSIONS: This study suggests that the moral challenges that arise from accessing neurobiological information in the context of psychosis go beyond traditional research and clinical ethics concerns. Reflecting on how accessing neurobiological information can influence individual self-narratives will be vital to ensure the ethical translation of neuroscience and genomics into mental health. TRIAL REGISTRATION: The study did not involve a health care intervention on human participants. It was retrospectively registered on 11 July 2018, registration number: researchregistry4255.

Entities:  

Keywords:  Ethics; Genomics; Identity; Information; Narratives; Neuroscience; Psychosis; Qualitative

Mesh:

Year:  2021        PMID: 33557813      PMCID: PMC7869514          DOI: 10.1186/s12910-020-00551-w

Source DB:  PubMed          Journal:  BMC Med Ethics        ISSN: 1472-6939            Impact factor:   2.652


  45 in total

1.  Return of results: ethical and legal distinctions between research and clinical care.

Authors:  Wylie Burke; Barbara J Evans; Gail P Jarvik
Journal:  Am J Med Genet C Semin Med Genet       Date:  2014-03-10       Impact factor: 3.908

2.  The risks of risk. Regulating the use of machine learning for psychosis prediction.

Authors:  Paolo Corsico
Journal:  Int J Law Psychiatry       Date:  2019-08-17

Review 3.  Imaging Genetics and Genomics in Psychiatry: A Critical Review of Progress and Potential.

Authors:  Ryan Bogdan; Betty Jo Salmeron; Caitlin E Carey; Arpana Agrawal; Vince D Calhoun; Hugh Garavan; Ahmad R Hariri; Andreas Heinz; Matthew N Hill; Andrew Holmes; Ned H Kalin; David Goldman
Journal:  Biol Psychiatry       Date:  2017-01-13       Impact factor: 13.382

Review 4.  Global Epidemiology and Burden of Schizophrenia: Findings From the Global Burden of Disease Study 2016.

Authors:  Fiona J Charlson; Alize J Ferrari; Damian F Santomauro; Sandra Diminic; Emily Stockings; James G Scott; John J McGrath; Harvey A Whiteford
Journal:  Schizophr Bull       Date:  2018-10-17       Impact factor: 9.306

5.  In the mind's eye: provider and patient attitudes on functional brain imaging.

Authors:  J Illes; S Lombera; J Rosenberg; B Arnow
Journal:  J Psychiatr Res       Date:  2008-12       Impact factor: 4.791

Review 6.  A systematic review of empirical bioethics methodologies.

Authors:  Rachel Davies; Jonathan Ives; Michael Dunn
Journal:  BMC Med Ethics       Date:  2015-03-07       Impact factor: 2.652

7.  Predictive Psychiatric Genetic Testing in Minors: An Exploration of the Non-Medical Benefits.

Authors:  Arianna Manzini; Danya F Vears
Journal:  J Bioeth Inq       Date:  2017-12-11       Impact factor: 1.352

8.  Stakeholders in psychiatry and their attitudes toward receiving pertinent and incident findings in genomic research.

Authors:  Anna Sundby; Merete W Boolsen; Kristoffer S Burgdorf; Henrik Ullum; Thomas F Hansen; Anna Middleton; Ole Mors
Journal:  Am J Med Genet A       Date:  2017-08-17       Impact factor: 2.802

9.  Using machine learning to predict outcomes in psychosis.

Authors:  Jonathan Young; Matthew J Kempton; Philip McGuire
Journal:  Lancet Psychiatry       Date:  2016-08-25       Impact factor: 27.083

10.  Improved ethical guidance for the return of results from psychiatric genomics research.

Authors:  G Lázaro-Muñoz; M S Farrell; J J Crowley; D M Filmyer; R A Shaughnessy; R C Josiassen; P F Sullivan
Journal:  Mol Psychiatry       Date:  2017-11-21       Impact factor: 15.992

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