Evidence map›Paper›PMID 41345287›Full record

ArticleNeurosurgical review2025

United against racism: enhancing access and patient experience for black and Hispanic patients in Neuro-oncological care.

Emmy Duerr, Rishab Ramapriyan, Emmanuel O Mensah, Jasmine G Hughes, Taylor Mitchell, Maxwell F Blanch, Lydia Headley, Edwin Owolo, Jean-Valery Coumans, Bob Carter and 5 more

Abstract read
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In one paragraph

Article in Neurosurgical review, 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

15 authors.

Emmy DuerrDepartment of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Rishab RamapriyanDepartment of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Emmanuel O MensahDepartment of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Jasmine G HughesDepartment of Clinical Neurosciences, University of Cambridge, Cambridge, UK.
Taylor MitchellDepartment of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Maxwell F BlanchDepartment of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Lydia HeadleyDepartment of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Edwin OwoloDepartment of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Jean-Valery CoumansDepartment of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Bob CarterDepartment of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
John ShinDepartment of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Elie MassaadDepartment of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Wenya BiDepartment of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
William CurryDepartment of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Theresa WilliamsonDepartment of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA. twilliamson1@mgh.harvard.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Structural inequities in the U.S. healthcare system contribute to disparities in access and outcomes for racial and ethnic minority patients. This study examined the experiences of Black, Hispanic, and Non-Hispanic White (NHW) patients receiving neurosurgical care within a large academic health system. A validated survey was distributed to 400 patients treated for brain and spinal cord tumors between October 2022 and March 2023. The survey assessed barriers to access, patient-provider interactions, and overall satisfaction. Chi-squared tests were used for categorical variables, and Kruskal-Wallis tests for continuous variables. Qualitative responses were coded and thematically analyzed using COREQ guidelines. 89 patients completed the survey (12 Black, 19 Hispanic, 58 NHW). There were no significant differences in overall satisfaction (100% service recommendation rate for all groups). Statistically significant group differences emerged in awareness of shuttle services (Black: 36.4%, Hispanic: 53.3%, NHW: 14.6%; p < 0.01) and preference for a non-English language (Black: 9.1%, Hispanic: 27.8%, NHW: 1.8%; p < 0.01) and gender concordance in medical care (Black: 8.3%, Hispanic: 31.6%, NHW: 5.3%; p < 0.01). Qualitative themes highlighted barriers to portal use, including digital literacy and language challenges, as well as the importance of trust and continuity of care. Although patient satisfaction was high across groups, structural barriers, including transportation and language access, continue to disproportionately affect Black and Hispanic patients. Addressing these challenges will require patient-centered strategies such as strengthening interpreter and transportation services, expanding digital support, and advancing workforce diversity to promote equitable neurosurgical care.

Indexed as

Black or African AmericanBrain NeoplasmsHealthcare DisparitiesHealth Services AccessibilityHispanic or LatinoPatient SatisfactionRacismAdultAgedFemaleHumansMaleMiddle AgedSurveys and QuestionnairesWhiteDigital literacyHealthcare accessHealth equityNeurosurgical carePatient experienceRacial disparitiesStructural racism

Identifiers

PMID41345287

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.