A novel approach for assessing bias during team-based clinical decision-making.
bias
decision-making
group decision
methodology
mixed-methods analyses
qualitative descriptive analysis
Journal
Frontiers in public health
ISSN: 2296-2565
Titre abrégé: Front Public Health
Pays: Switzerland
ID NLM: 101616579
Informations de publication
Date de publication:
2023
2023
Historique:
received:
08
08
2022
accepted:
20
03
2023
medline:
29
5
2023
pubmed:
25
5
2023
entrez:
25
5
2023
Statut:
epublish
Résumé
Many 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.
Identifiants
pubmed: 37228737
doi: 10.3389/fpubh.2023.1014773
pmc: PMC10203455
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
1014773Subventions
Organisme : NHLBI NIH HHS
ID : K01 HL142848
Pays : United States
Organisme : NHLBI NIH HHS
ID : R56 HL159216
Pays : United States
Organisme : NHLBI NIH HHS
ID : L30 HL148881
Pays : United States
Informations de copyright
Copyright © 2023 Pool, Hebdon, de Groot, Yee, Herrera-Theut, Yee, Allen, Hasan, Lindenfeld, Calhoun, Carnes, Sweitzer and Breathett.
Déclaration de conflit d'intérêts
LA has received grant funding from the American Heart Association, NIH, and PCORI; and consulting fees from Amgen, Boston Scientific, Cytokinetics, Novartis, and WCG ACI Clinical. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The handling editor MS declared a past co-authorship [10.1089/heq.2020.0044] with the author(s) KB.
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