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dc.contributor.authorPool, N.
dc.contributor.authorHebdon, M.
dc.contributor.authorde Groot, E.
dc.contributor.authorYee, R.
dc.contributor.authorHerrera-Theut, K.
dc.contributor.authorYee, E.
dc.contributor.authorAllen, L.A.
dc.contributor.authorHasan, A.
dc.contributor.authorLindenfeld, J.
dc.contributor.authorCalhoun, E.
dc.contributor.authorCarnes, M.
dc.contributor.authorSweitzer, N.K.
dc.contributor.authorBreathett, K.
dc.date.accessioned2024-08-05T18:23:24Z
dc.date.available2024-08-05T18:23:24Z
dc.date.issued2023-05-08
dc.identifier.citationPool N, Hebdon M, de Groot E, Yee R, Herrera-Theut K, Yee E, Allen LA, Hasan A, Lindenfeld J, Calhoun E, Carnes M, Sweitzer NK and Breathett K (2023) A novel approach for assessing bias during team-based clinical decision-making. Front. Public Health 11:1014773. doi: 10.3389/fpubh.2023.1014773
dc.identifier.issn2296-2565
dc.identifier.pmid37228737
dc.identifier.doi10.3389/fpubh.2023.1014773
dc.identifier.urihttp://hdl.handle.net/10150/673650
dc.description.abstractMany clinical processes include multidisciplinary group decision-making, yet few methods exist to evaluate the presence of implicit bias during this collective process. Implicit bias negatively impacts the equitable delivery of evidence-based interventions and ultimately patient outcomes. Since implicit bias can be difficult to assess, novel approaches are required to detect and analyze this elusive phenomenon. In this paper, we describe how the de Groot Critically Reflective Diagnoses Protocol (DCRDP) can be used as a data analysis tool to evaluate group dynamics as an essential foundation for exploring how interactions can bias collective clinical decision-making. The DCRDP includes 6 distinct criteria: challenging groupthink, critical opinion sharing, research utilization, openness to mistakes, asking and giving feedback, and experimentation. Based on the strength and frequency of codes in the form of exemplar quotes, each criterion was given a numerical score of 1–4 with 1 representing teams that are interactive, reflective, higher functioning, and more equitable. When applied as a coding scheme to transcripts of recorded decision-making meetings, the DCRDP was revealed as a practical tool for examining group decision-making bias. It can be adapted to a variety of clinical, educational, and other professional settings as an impetus for recognizing the presence of team-based bias, engaging in reflexivity, informing the design and testing of implementation strategies, and monitoring long-term outcomes to promote more equitable decision-making processes in healthcare. Copyright © 2023 Pool, Hebdon, de Groot, Yee, Herrera-Theut, Yee, Allen, Hasan, Lindenfeld, Calhoun, Carnes, Sweitzer and Breathett.
dc.language.isoen
dc.publisherFrontiers Media S.A.
dc.rights© 2023 Pool, Hebdon, de Groot, Yee, Herrera-Theut, Yee, Allen, Hasan, Lindenfeld, Calhoun, Carnes, Sweitzer and Breathett. This is an open-access article distributed under the terms of the Creative Commons Attribution License.
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectbias
dc.subjectdecision-making
dc.subjectgroup decision
dc.subjectmethodology
dc.subjectmixed-methods analyses
dc.subjectqualitative descriptive analysis
dc.titleA novel approach for assessing bias during team-based clinical decision-making
dc.typeArticle
dc.typetext
dc.contributor.departmentCollege of Medicine, University of Arizona
dc.identifier.journalFrontiers in Public Health
dc.description.noteOpen access journal
dc.description.collectioninformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
dc.eprint.versionFinal Published Version
dc.source.journaltitleFrontiers in Public Health
refterms.dateFOA2024-08-05T18:23:24Z


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© 2023 Pool, Hebdon, de Groot, Yee, Herrera-Theut, Yee, Allen, Hasan, Lindenfeld, Calhoun, Carnes, Sweitzer and Breathett. This is an open-access article distributed under the terms of the Creative Commons Attribution License.
Except where otherwise noted, this item's license is described as © 2023 Pool, Hebdon, de Groot, Yee, Herrera-Theut, Yee, Allen, Hasan, Lindenfeld, Calhoun, Carnes, Sweitzer and Breathett. This is an open-access article distributed under the terms of the Creative Commons Attribution License.