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  1. Article ; Online: Oncologist Perceptions of Racial Disparity, Racial Anxiety, and Unconscious Bias in Clinical Interactions, Treatment, and Outcomes.

    Balanean, Alexandrina / Bland, Emily / Gajra, Ajeet / Jeune-Smith, Yolaine / Klink, Andrew J / Hays, Harlen / Feinberg, Bruce A

    Journal of the National Comprehensive Cancer Network : JNCCN

    2024  Volume 22, Issue 2, Page(s) 82–90

    Abstract: Background: Cancer spares no demographic or socioeconomic group; it is indeed the great equalizer. But its distribution is not equal; when structural discrimination concentrates poverty and race, zip code surpasses genetic code in predicting outcomes. ... ...

    Abstract Background: Cancer spares no demographic or socioeconomic group; it is indeed the great equalizer. But its distribution is not equal; when structural discrimination concentrates poverty and race, zip code surpasses genetic code in predicting outcomes. Compared with White patients in the United States, Black patients are less likely to receive appropriate treatment and referral to clinical trials, genetic testing, or palliative care/hospice.
    Methods: In 2021, we administered a survey to 369 oncologists measuring differences in perceptions surrounding racial disparity, racial anxiety, and unconscious bias and adverse influence on clinical interactions, treatment, and outcomes for non-White patients. We analyzed responses by generational age group, sex/gender, race/ethnicity, US region, and selection of "decline to respond."
    Results: The most significant differences occurred by age group followed by race/ethnicity. Racial disparity was perceived as moderate to very high by 84% of millennial, 69% of Generation X, and 57% of baby boomer oncologists, who were also 86% more likely than millennials and 63% more likely than Generation Xers to perceive low/nonexistent levels of racial anxiety/unconscious bias.
    Conclusions: Most oncologists rarely or never perceived racial anxiety/unconscious bias as adversely influencing clinical treatment or survival outcomes in non-White patients, and White oncologists were 85% more likely than non-White oncologists to perceive rare/nonexistent influence on referral of non-White patients to palliative care/hospice. The discrepancy between 62% of oncologists perceiving moderate to very high levels of racial anxiety/unconscious bias and 37% associating them with adverse influence on non-White patients shows a disconnect, especially among older oncologists (baby boomers), who were also least likely to select the decline option. Together, these factors hinder effective patient-provider communication and result in differential care and outcomes. Oncologists should uncover their own perceptions surrounding racial disparity, racial anxiety, and unconscious bias and modify their behaviors accordingly. It is this simple-and this complicated. Cancer does not discriminate, and neither should cancer care.
    MeSH term(s) Humans ; United States ; Black or African American ; Bias, Implicit ; Neoplasms/therapy ; Oncologists ; Anxiety/etiology ; Anxiety/therapy ; White
    Language English
    Publishing date 2024-02-27
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2250759-0
    ISSN 1540-1413 ; 1540-1405
    ISSN (online) 1540-1413
    ISSN 1540-1405
    DOI 10.6004/jnccn.2023.7078
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Treatment patterns and outcomes with luspatercept in patients with lower-risk myelodysplastic syndromes: A retrospective US cohort analysis.

    Mukherjee, Sudipto / Brown-Bickerstaff, Cherrishe / Falkenstein, Angelica / Makinde, Adeola Y / Bland, Emily / Laney, JaLyna / Garretson, Marné / Huggar, David / McBride, Ali

    HemaSphere

    2024  Volume 8, Issue 1, Page(s) e38

    Language English
    Publishing date 2024-01-30
    Publishing country United States
    Document type Journal Article
    ISSN 2572-9241
    ISSN (online) 2572-9241
    DOI 10.1002/hem3.38
    Database MEDical Literature Analysis and Retrieval System OnLINE

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