Megan Hebdon, Natalie Pool, Ryan Yee, Kathryn Herrera-Theut, Erika Yee, Larry A Allen, Ayesha Hasan, JoAnn Lindenfeld, Elizabeth Calhoun, Nancy K Sweitzer, Anna Welling, Khadijah Breathett
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Bias in team decision-making for advanced heart failure therapies: model application.
Bias in advanced heart failure therapy allocation results in inequitable outcomes for minoritized populations. The purpose of this study was to examine how bias is introduced during group decision-making with an interprofessional team using Breathett's Model of Heart Failure Decision-Making. This was a secondary qualitative descriptive analysis from a study focused on bias in advanced heart failure therapy allocation. Team meetings were recorded and transcribed from four heart failure centers. Breathett's Model was applied both deductively and inductively to transcripts (n = 12). Bias was identified during discussions about patient characteristics, clinical fragility, and prior clinical decision-making. Some patients were labeled as "good citizens" or as adherent/non-adherent while others benefited from strong advocacy from interprofessional team members. Social determinants of health also impacted therapy allocation. Interprofessional collaboration with advanced heart failure therapy allocation may be enhanced with the inclusion of patient advocates and limit of clinical decision-making using subjective data.
期刊介绍:
The Journal of Interprofessional Care disseminates research and new developments in the field of interprofessional education and practice. We welcome contributions containing an explicit interprofessional focus, and involving a range of settings, professions, and fields. Areas of practice covered include primary, community and hospital care, health education and public health, and beyond health and social care into fields such as criminal justice and primary/elementary education. Papers introducing additional interprofessional views, for example, from a community development or environmental design perspective, are welcome. The Journal is disseminated internationally and encourages submissions from around the world.