Evidence map›Paper›PMID 40456187›Full record

ArticleThe American journal of hospice & palliative care2026

The Use of Biased Language in the Care of Seriously Ill Children: A Pilot Study.

Terri Major-Kincade, Erin Kim, Cameron A Price, Ankona Banerjee, Nikashia Franklin, Israel Castañeda Almendárez, Jaime Jump, Jared Rubenstein, Jill Ann Jarrell

Abstract read
In one paragraph

Article in The American journal of hospice & palliative care, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Terri Major-KincadeDivision of Palliative Care, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA.ORCID 0009-0009-8977-9121
Erin KimDivision of Palliative Care, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA.ORCID 0009-0006-0649-6520
Cameron A PriceDepartment of Pediatrics, Baylor College of Medicine, Houston, TX, USA.ORCID 0009-0005-2570-7517
Ankona BanerjeeDepartment of Pediatrics, Baylor College of Medicine, Houston, TX, USA.ORCID 0000-0003-4433-5446
Nikashia FranklinPediatric Advanced Care Team (PACT), Texas Children's Hospital, Houston, TX, USA.ORCID 0009-0002-0592-0255
Israel Castañeda AlmendárezDivision of Palliative Care, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA.
Jaime JumpDivision of Palliative Care, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA.ORCID 0000-0002-0001-4934
Jared RubensteinDivision of Palliative Care, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA.ORCID 0000-0001-8522-3809
Jill Ann JarrellDivision of Palliative Care, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA.ORCID 0000-0003-3301-1905

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BackgroundImplicit bias pervades health care, decreases quality of care, and disproportionately affects health outcomes for persons of color. Little is known about the use of biased language in the care of seriously ill children as documented in the electronic health record (EHR).ObjectiveTo describe the use of biased language in the EHR of critically ill pediatric patients and to assess if there is a difference based on patient demographics and clinical characteristics.Setting/ParticipantsA retrospective review of EHRs was conducted on patients admitted to a Pediatric Intensive Care Unit (PICU) with a palliative care consult at a large, urban academic center in the United States in 2019.MeasurementsDemographics and clinical characteristics were compared between patients with and without biased language in their EHR in univariate and multivariate analyses. Frequencies of descriptor usage and health care team members using the descriptor were recorded. Exemplar quotes using biased language were recorded.ResultsIn 63 patients, no differences were found in demographic or clinical characteristics between patients with and without positively and negatively biased language. In adjusted analysis, there was no effect of demographics or clinical characteristics on the odds of having at least 1 instance of negatively biased language. Physicians and social workers used more biased language than other health care team members.ConclusionDespite no statistically significant difference noted in this pilot study, linguistic biases exist in the EHR of seriously ill children, which may lead to testimonial injustice. Efforts to combat bias and racism in pediatric health care documentation may focus on revising note templates and educating across disciplines.

Indexed as

Critical IllnessElectronic Health RecordsLanguagePalliative CareAdolescentChildChild, PreschoolFemaleHumansInfantIntensive Care Units, PediatricMalePilot ProjectsRetrospective StudiesUnited Statesbiascommunicationpalliative carepediatricsstigmatizing language

Identifiers

PMID40456187
PMCPMC13103345

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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.