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Bias in team decision-making for advanced heart failure therapies: model application.
Hebdon, Megan; Pool, Natalie; Yee, Ryan; Herrera-Theut, Kathryn; Yee, Erika; Allen, Larry A; Hasan, Ayesha; Lindenfeld, JoAnn; Calhoun, Elizabeth; Sweitzer, Nancy K; Welling, Anna; Breathett, Khadijah.
Affiliation
  • Hebdon M; School of Nursing, University of Texas-Austin, Austin, TX, USA.
  • Pool N; School of Nursing, University of Northern Colorado, Greeley, Colorado, USA.
  • Yee R; Sarver Heart Center Research, University of Arizona, Tucson, AZ, USA.
  • Herrera-Theut K; College of Medicine, Departments of Medicine and Pediatrics, University of Michigan, Ann Arbor, MI, USA.
  • Yee E; College of Medicine, University of Arizona, Tucson, AZ, USA.
  • Allen LA; Division of Cardiovascular Medicine, University of Colorado, Denver, CO, USA.
  • Hasan A; Division of Cardiovascular Medicine, Ohio State University, Columbus, Ohio, USA.
  • Lindenfeld J; Division of Cardiovascular Medicine, Vanderbilt University, Nashville, TN, USA.
  • Calhoun E; Department of Population Health, University of Kansas, Lawrence, Kansas, USA.
  • Sweitzer NK; Division of Cardiovascular Medicine, Sarver Heart Center, University of Arizona, Tucson, AZ, USA.
  • Welling A; School of Nursing, University of Texas-Austin, Austin, TX, USA.
  • Breathett K; Division of Cardiovascular Medicine, Indiana University, Bloomington, IN, USA.
J Interprof Care ; 38(4): 695-704, 2024.
Article de En | MEDLINE | ID: mdl-38734870
ABSTRACT
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.
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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Équipe soignante / Défaillance cardiaque Limites: Female / Humans / Male / Middle aged Langue: En Journal: J Interprof Care / J. interprof. care / Journal of interprofessional care Sujet du journal: SERVICOS DE SAUDE Année: 2024 Type de document: Article Pays d'affiliation: États-Unis d'Amérique Pays de publication: Royaume-Uni

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Équipe soignante / Défaillance cardiaque Limites: Female / Humans / Male / Middle aged Langue: En Journal: J Interprof Care / J. interprof. care / Journal of interprofessional care Sujet du journal: SERVICOS DE SAUDE Année: 2024 Type de document: Article Pays d'affiliation: États-Unis d'Amérique Pays de publication: Royaume-Uni