Evidence map›Paper›PMID 38734870›Full record

ArticleJournal of interprofessional care

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, JoAnn Lindenfeld, Elizabeth Calhoun, Nancy K Sweitzer and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of interprofessional care. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Megan HebdonSchool of Nursing, University of Texas-Austin, Austin, TX, USA.
Natalie PoolSchool of Nursing, University of Northern Colorado, Greeley, Colorado, USA.
Ryan YeeSarver Heart Center Research, University of Arizona, Tucson, AZ, USA.
Kathryn Herrera-TheutCollege of Medicine, Departments of Medicine and Pediatrics, University of Michigan, Ann Arbor, MI, USA.
Erika YeeCollege of Medicine, University of Arizona, Tucson, AZ, USA.
Larry A AllenDivision of Cardiovascular Medicine, University of Colorado, Denver, CO, USA.
Ayesha HasanDivision of Cardiovascular Medicine, Ohio State University, Columbus, Ohio, USA.
JoAnn LindenfeldDivision of Cardiovascular Medicine, Vanderbilt University, Nashville, TN, USA.
Elizabeth CalhounDepartment of Population Health, University of Kansas, Lawrence, Kansas, USA.
Nancy K SweitzerDivision of Cardiovascular Medicine, Sarver Heart Center, University of Arizona, Tucson, AZ, USA.
Anna WellingSchool of Nursing, University of Texas-Austin, Austin, TX, USA.
Khadijah BreathettDivision of Cardiovascular Medicine, Indiana University, Bloomington, IN, USA.

Funding

Reducing Ethnic-racial Disparities in Cardiac Arrest Survival Outcomes (RED-CASO)R01HL160734 · NHLBI · SAINT LUKE'S HOSPITAL · PI CHAN, PAUL SHEUNG-YAN, GIROTRA, SAKET · 2022 to 2025
$2.6M
Seeking Objectivity in Allocation of Advanced Heart Failure (SOCIAL HF) Therapies TrialR01HL159216 · NHLBI · INDIANA UNIVERSITY INDIANAPOLIS · PI BREATHETT, KHADIJAH · 2022 to 2025
$2.6M
Seeking Objectivity in Allocation of Advanced Heart Failure (SOCIAL HF) Therapies TrialR56HL159216 · NHLBI · UNIVERSITY OF ARIZONA · PI BREATHETT, KHADIJAH · 2021 to 2021
$906k
Addressing Individual Provider Bias and Group Decision-Making in Selection of Advanced Heart Failure Therapies in Racial/Ethnic MinoritiesK01HL142848 · NHLBI · UNIVERSITY OF ARIZONA · PI BREATHETT, KHADIJAH · 2018 to 2021
$858k
NHLBI NIH HHS K01 HL142848NHLBI NIH HHS L30 HL148881NHLBI NIH HHS R01 HL159216NHLBI NIH HHS R01 HL160734NHLBI NIH HHS R56 HL159216
6 · The paper itself

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 (

Indexed as

Heart FailurePatient Care TeamClinical Decision-MakingCooperative BehaviorDecision MakingFemaleGroup ProcessesHumansInterprofessional RelationsMaleMiddle AgedQualitative ResearchSocial Determinants of HealthAdvanced heart failurebiasdecision-makinginterprofessional teams

Identifiers

PMID38734870
PMCPMC11233123

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.