Evidence map›Paper›PMID 36811702›Full record

ArticleJournal of general internal medicine2023

Patients' Perspectives on Race and the Use of Race-Based Algorithms in Clinical Decision-Making: a Qualitative Study.

Insa M Schmidt, Merav Shohet, Mariana Serrano, Pranav Yadati, Hanni Menn-Josephy, Titilayo Ilori, Nwamaka D Eneanya, Emily C Cleveland Manchanda, Sushrut S Waikar

Abstract read
In one paragraph

Article in Journal of general internal medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Racism against healthcare users in inpatient care: a scoping review.International journal for equity in health · 2024
    Article
  5. Article
  6. Article
  7. Article
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

9 authors.

Insa M SchmidtSection of Nephrology, Boston University Chobanian & Avedisian School of Medicine and Boston Medical Center, Evans Biomedical Research Center, 5th Floor, 650 Albany Street, Boston, MA, 02118, USA. ischmidt@bu.edu.ORCID 0000-0002-0420-6570
Merav ShohetDepartment of Anthropology, Boston University College of Arts and Sciences, Boston, MA, USA.
Mariana SerranoUMass Memorial Health's Office for Diversity, Equity, Inclusion and Belonging, Boston, MA, USA.
Pranav YadatiSection of Nephrology, Boston University Chobanian & Avedisian School of Medicine and Boston Medical Center, Evans Biomedical Research Center, 5th Floor, 650 Albany Street, Boston, MA, 02118, USA.
Hanni Menn-JosephySection of Nephrology, Boston University Chobanian & Avedisian School of Medicine and Boston Medical Center, Evans Biomedical Research Center, 5th Floor, 650 Albany Street, Boston, MA, 02118, USA.
Titilayo IloriSection of Nephrology, Boston University Chobanian & Avedisian School of Medicine and Boston Medical Center, Evans Biomedical Research Center, 5th Floor, 650 Albany Street, Boston, MA, 02118, USA.
Nwamaka D EneanyaDivision of Renal-Electrolyte and Hypertension, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Emily C Cleveland ManchandaDepartment of Emergency Medicine, Boston University Chobanian & Avedisian School of Medicine and Boston Medical Center, Boston, MA, USA.
Sushrut S WaikarSection of Nephrology, Boston University Chobanian & Avedisian School of Medicine and Boston Medical Center, Evans Biomedical Research Center, 5th Floor, 650 Albany Street, Boston, MA, 02118, USA.

Funding

Multi-Omics and Chronic Kidney Disease: Correlation with HistologyR01DK108803 · NIDDK · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Morgan Erika Grams, EUGENE P. RHEE · 2016 to 2026
$6.4M
Boston Chronic Kidney Disease Research Biopsy CenterU01DK133092 · NIDDK · BOSTON MEDICAL CENTER · PI Sylvia E Rosas, Sushrut S. Waikar · 2022 to 2026
$3.5M
NAD Augmentation to Treat Diabetic Kidney Disease: A Randomized Controlled TrialU01AG076789 · NIA · BRIGHAM AND WOMEN'S HOSPITAL · PI SHALENDER BHASIN, Sushrut S. Waikar · 2022 to 2026
$2.9M
The Role of Dietary Nutrients in Chronic Kidney Disease Progression and Apolipoprotein L1 NephropathyK23DK119542 · NIDDK · BOSTON MEDICAL CENTER · PI ILORI, TITILAYO OMOLARA · 2020 to 2024
$928k
The Boston University Kidney and Medical Engineering Program (BU-KIDMEP)R25DK128858 · NIDDK · BOSTON MEDICAL CENTER · PI CHITALIA, VIPUL C, WAIKAR, SUSHRUT S. · 2021 to 2025
$637k
NIA NIH HHS U01 AG076789NIDDK NIH HHS K23 DK119542NIDDK NIH HHS R01 DK108803NIDDK NIH HHS R25 DK128858NIDDK NIH HHS U01 DK133092
6 · The paper itself

Abstract

backgroundClinical algorithms that incorporate race as a modifying factor to guide clinical decision-making have recently been criticized for propagating racial bias in medicine. Equations used to calculate lung or kidney function are examples of clinical algorithms that have different diagnostic parameters depending on an individual's race. While these clinical measures have multiple implications for clinical care, patients' awareness of and their perspectives on the application of such algorithms are unknown.

objectiveTo examine patients' perspectives on race and the use of race-based algorithms in clinical decision-making.

designQualitative study using semi-structured interviews.

participantsTwenty-three adult patients recruited at a safety-net hospital in Boston, MA. APPROACH: Interviews were analyzed using thematic content analysis and modified grounded theory. KEY

resultsAmong the 23 study participants, 11 were women and 15 self-identified as Black or African American. Three categories of themes emerged: The first theme described definitions and the individual meanings participants ascribed to the term race. The second theme described perspectives on the role and consideration of race in clinical decision-making. Most study participants were unaware that race has been used as a modifying factor in clinical equations and rejected the incorporation of race in these equations. The third theme related to exposure to and experience of racism in healthcare settings. Experiences described by non-White participants ranged from microaggressions to overt acts of racism, including perceived racist encounters with healthcare providers. In addition, patients alluded to a deep mistrust in the healthcare system as a major barrier to equitable care.

conclusionsOur findings suggest that most patients are unaware of how race has been used to make risk assessments and guide clinical care. Further research on patients' perspectives is needed to inform the development of anti-racist policies and regulatory agendas as we move forward to combat systemic racism in medicine.

Indexed as

AlgorithmsClinical Decision-MakingHealthcare DisparitiesRacismRisk AssessmentAdultAwarenessBlack or African AmericanFemaleHumansMaleQualitative ResearchRace FactorsTrustkidney diseasepatient perspectivequalitative researchracerace-based algorithmsrace-based eGFRracism

Identifiers

PMID36811702
PMCPMC9945816

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.