Wang, Y. orcid.org/0000-0003-1575-0245, Ji, J., Zhang, M. et al. (1 more author) (2025) Does workforce diversity, equity, and inclusion prevent patient safety incidents: a double machine learning approach. Journal of the Association for Information Systems, 26 (3). 6. ISSN 1558-3457
Abstract
Although workforce diversity, equity, and inclusion (DEI) have been recognized as essential components in healthcare organizations, robust empirical research is scarce on how workforce DEI influences patient safety outcomes, particularly concerning the boundary conditions that may moderate this relationship. This study analyzes a longitudinal dataset from 2017 to 2021 that includes DEI metrics, staff-reported patient safety incidents, and employee feedback on DEI from Glassdoor and Indeed for 120 NHS Trusts in England’s acute care sector. We examine workforce DEI through both its demographic and experiential dimensions to provide a comprehensive view. Employing a double machine learning approach, our findings indicate that a one-unit increase in workforce DEI scores is associated with a reduction of 8.108 patient safety incidents per 1000 admissions. Moreover, regions with greater patient racial diversity and healthcare organizations with lower complexity experience significantly greater benefits from DEI initiatives. This study provides healthcare policymakers and institutions with actionable insights to strategically tailor DEI initiatives and effectively improve patient safety.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2025 The Authors. Except as otherwise noted, this author-accepted version of a journal article published in Journal of the Association for Information Systems is made available via the University of Sheffield Research Publications and Copyright Policy under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ |
Keywords: | Diversity, equity, and inclusion (DEI); Patient safety; double machine learning; healthcare analytics |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) > Management School (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 07 Mar 2025 10:54 |
Last Modified: | 07 May 2025 10:28 |
Status: | Published |
Publisher: | Association for Information Systems |
Refereed: | Yes |
Identification Number: | 10.17705/1jais.00944 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:223930 |