Evidence map›Paper›PMID 37673110›Full record

ArticleJournal of the National Comprehensive Cancer Network : JNCCN2023

Hidden Disparities: How Language Influences Patients' Access to Cancer Care.

Debbie W Chen, Mousumi Banerjee, Xin He, Lesley Miranda, Maya Watanabe, Christine M Veenstra, Megan R Haymart

Abstract read
In one paragraph

Article in Journal of the National Comprehensive Cancer Network : JNCCN, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Observational
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  13. GoFundMe®: Crowdfunding Among Young Adult Patients With Cancer.Clinical journal of oncology nursing · 2025
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  18. Social Determinants of Health and Disparities in Thyroid Care.The Journal of clinical endocrinology and metabolism · 2024
    Article
  19. Review
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

7 authors.

Debbie W ChenDivision of Metabolism, Endocrinology, and Diabetes, University of Michigan, Ann Arbor, Michigan.
Mousumi BanerjeeDepartment of Biostatistics, University of Michigan, Ann Arbor, Michigan.
Xin HeDivision of Endocrinology, Signature Healthcare, Brockton, Massachusetts.
Lesley MirandaCollege of Literature Science and the Arts, University of Michigan, Ann Arbor, Michigan.
Maya WatanabeDepartment of Biostatistics, University of Michigan, Ann Arbor, Michigan.
Christine M VeenstraDivision of Hematology and Oncology, University of Michigan, Ann Arbor, Michigan.
Megan R HaymartDivision of Metabolism, Endocrinology, and Diabetes, University of Michigan, Ann Arbor, Michigan.

Funding

XenograftP30CA046592 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Alexey I Nesvizhskii · 1988 to 2026
$178.2M
TRAINING PROGRAM IN ENDOCRINOLOGY AND METABOLISM.T32DK007245 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI RICHARD J. AUCHUS · 1986 to 2026
$7.2M
Optimization of Thyroid Nodule Care Delivery to Reduce the Burden of Thyroid CancerK08CA273047 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Debbie Wan Hua Chen · 2023 to 2026
$730k
NCI NIH HHS K08 CA273047NCI NIH HHS P30 CA046592NIDDK NIH HHS T32 DK007245
6 · The paper itself

Abstract

backgroundPatients with limited English proficiency, a vulnerable patient population, remain understudied in the literature addressing cancer disparities. Although it is well documented that language discordance between patients and physicians negatively impacts the quality of patient care, little is known about how patients' preferred spoken language impacts their access to cancer care. PATIENTS AND

methodsBetween November 2021 and June 2022, we conducted an audit study of 144 hospitals located across 12 demographically diverse states. Using a standardized script, trained investigators assigned to the roles of English-speaking, Spanish-speaking, and Mandarin-speaking patients called the hospital general information telephone line seeking to access care for 3 cancer types that disproportionately impact Hispanic and Asian populations (colon, lung, and thyroid cancer). Primary outcome was whether the simulated patient caller was provided with the next steps to access cancer care, defined as clinic number or clinic transfer. We used chi-square tests and logistic regression analysis to test for associations between the primary outcome and language type, region type, hospital teaching status, and cancer care requested. We used multivariable logistic regression analysis to determine factors associated with simulated patient callers being provided the next steps.

resultsOf the 1,296 calls, 52.9% (n=686) resulted in simulated patient callers being provided next steps to access cancer care. Simulated non-English-speaking (vs English-speaking) patient callers were less likely to be provided with the next steps (Mandarin, 27.5%; Spanish, 37.7%; English, 93.5%; P<.001). Multivariable logistic regression found significant associations of the primary outcome with language spoken (Mandarin: odds ratio [OR], 0.02 [95% CI, 0.01-0.04] and Spanish: OR, 0.04 [95% CI, 0.02-0.06] vs English) and hospital teaching status (nonteaching: OR, 0.43 [95% CI, 0.32-0.56] vs teaching).

conclusionsLinguistic disparities exist in access to cancer care for non-English-speaking patients, emphasizing the need for focused interventions to mitigate systems-level communication barriers.

Indexed as

LanguageThyroid NeoplasmsAmbulatory Care FacilitiesColonHospitalsHumansCancer Care AccessCancer DisparitiesHealthcare DisparitiesLimited English ProficiencyLinguistic Disparities

Identifiers

PMID37673110
PMCPMC11033703

What OpenQuestion holds

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Registered trials

None linked

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.