Evidence map›Paper›PMID 41100789›Full record

ArticleJCO clinical cancer informatics2025

Which Patients With Cancer Access Their Clinical Notes? A Disparities Analysis.

Susan Chimonas, Charlie White, Kenneth Seier, Fernanda Polubriaginof, Chelsea Michael, Chasity Walters, Allison Lipitz-Snyderman, Gilad Kuperman

Abstract read
In one paragraph

Article in JCO clinical cancer informatics, 2025. 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

8 authors.

Susan ChimonasDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY.ORCID 0000-0002-7742-5950
Charlie WhiteDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY.ORCID 0000-0003-1671-3155
Kenneth SeierDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY.ORCID 0000-0003-3845-5249
Fernanda PolubriaginofDigital Informatics and Technology Solutions, Memorial Sloan Kettering Cancer Center, New York, NY.ORCID 0000-0003-2355-2556
Chelsea MichaelDigital Informatics and Technology Solutions, Memorial Sloan Kettering Cancer Center, New York, NY.ORCID 0000-0002-9525-7591
Chasity WaltersMarketing and Communication, Memorial Sloan Kettering Cancer Center, New York, NY.ORCID 0000-0003-3537-5227
Allison Lipitz-SnydermanDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY.ORCID 0000-0003-2423-2220
Gilad KupermanDigital Informatics and Technology Solutions, Memorial Sloan Kettering Cancer Center, New York, NY.ORCID 0000-0002-4130-1577

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
Research & Methods CoreP50CA271357 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI MICHAEL J MORRIS, KATHERINE S PANAGEAS · 2022 to 2026
$7.7M
NCI NIH HHS P30 CA008748NCI NIH HHS P50 CA271357
6 · The paper itself

Abstract

purposeAccess to clinical notes enhances patient engagement and trust, and the 21st Century Cures Act enabled immediate electronic patient access in April 2021. Yet, technological advances may perpetuate disparities, which remain understudied. Understanding whether inequities in note access exist in oncology would highlight challenges around making this foundational health information available to all patients receiving ongoing, complex medical care. MATERIALS AND

methodsThis study at a high-volume specialty cancer center explored disparities around clinical notes posted to patients' portal accounts from September 1, 2021, to August 31, 2022, and accessed by March 19, 2024. Logistic and Poisson regression were used to identify patient characteristics associated with note access and note opening rates.

resultsThe study included 124,554 patients and 815,104 clinical notes, 43.7% of which (356,290) were accessed. Although modest differences in access rates emerged around sex, age, and marital status, larger disparities appeared for ethnicity, race, and language: Black patients (odds ratio [OR], 0.63 [95% CI, 0.60 to 0.66];

conclusionThis analysis highlighted disparities, by race, ethnicity, and language, in cancer patients' accessing clinical notes. Tailored interventions are crucial to ensure that diverse groups benefit from digital health care resources.

Indexed as

Electronic Health RecordsHealthcare DisparitiesHealth Services AccessibilityNeoplasmsPatient Access to RecordsAdultAgedFemaleHumansMaleMiddle AgedPatient Portals

Identifiers

PMID41100789
PMCPMC13532736

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.