Bias in team decision-making for advanced heart failure therapies: model application

Megan Hebdon, Natalie Pool, Ryan Yee, Kathryn Herrera-Theut, Erika Yee, Larry A. Allen, Ayesha Hasan, Jo Ann Lindenfeld, Elizabeth Calhoun, Nancy K. Sweitzer, Anna Welling, Khadijah Breathett

Research output: Contribution to journalArticlepeer-review


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.

Original languageEnglish
Pages (from-to)695-704
Number of pages10
JournalJournal of Interprofessional Care
Issue number4
StatePublished - 2024


  • Advanced heart failure
  • bias
  • decision-making
  • interprofessional teams


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