Buchman, Daniel Z., Imahori, Daphne, Lo, Christopher, Hui, Katrina, Walker, Caroline, Shaw, James, and Davis, Karen D. (2023) The Influence of Using Novel Predictive Technologies on Judgments of Stigma, Empathy, and Compassion among Healthcare Professionals. American Journal of Bioethics Neuroscience. (In Press)

Preview

PDF (Publisher Accepted Version) - Published Version Available under License Creative Commons Attribution Non-commercial No Derivatives. Download (2MB) | Preview

Abstract

Background: Our objective was to evaluate whether the description of a machine learning (ML) app or brain imaging technology to predict the onset of schizophrenia or alcohol use disorder (AUD) influences healthcare professionals’ judgments of stigma, empathy, and compassion.

Methods: We randomized healthcare professionals (N = 310) to one vignette about a person whose clinician seeks to predict schizophrenia or an AUD, using a ML app, brain imaging, or a psychosocial assessment. Participants used scales to measure their judgments of stigma, empathy, and compassion.

Results: Participants randomized to the ML vignette endorsed less anger and more fear relative to the psychosocial vignette, and the brain imaging vignette elicited higher pity ratings. The brain imaging and ML vignettes evoked lower personal responsibility judgments compared to the psychosocial vignette. Physicians and nurses reported less empathy than clinical psychologists.

Conclusions: The use of predictive technologies may reinforce essentialist views about mental health and substance use that may increase specific aspects of stigma and reduce others.

Item ID:	79336
Item Type:	Article (Research - C1)
ISSN:	2150-7759
Keywords:	Brain imaging, empirical bioethics, healthcare workers, machine learning, mental disorders, neuroethics, stigma, substance-related disorders
Copyright Information:	© 2023 The Author(s). Published with license by Taylor & Francis Group, LLC. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.
Date Deposited:	18 Jul 2023 01:20
FoR Codes:	52 PSYCHOLOGY > 5205 Social and personality psychology > 520505 Social psychology @ 25% 52 PSYCHOLOGY > 5203 Clinical and health psychology > 520399 Clinical and health psychology not elsewhere classified @ 25% 50 PHILOSOPHY AND RELIGIOUS STUDIES > 5001 Applied ethics > 500101 Bioethics @ 50%
SEO Codes:	20 HEALTH > 2099 Other health > 209999 Other health not elsewhere classified @ 100%
Downloads:	Total: 40 Last 12 Months: 23
	More Statistics