4.6 Article

Is there evidence of age bias in breast cancer health care professionals? treatment of older patients?

Journal

EJSO
Volume 48, Issue 12, Pages 2401-2407

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.ejso.2022.07.003

Keywords

Age bias; Breast cancer; Cancer; Decision making; Implicit bias; Older patients; Oncology; Primary endocrine therapy; Treatment recommendations

Funding

  1. Sussex Cancer Fund
  2. Brighton and Sussex Medical School, Research Governance and Ethics Committee [ER/BSMS9DV8/1]
  3. Sciences & Technology Cross -Schools Research Ethics Committee [ER/BSMS9DV8/2]

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Despite guidelines to treat breast cancer patients 'irrespective of age', older women still experience differential treatment and worse outcomes, which may be related to age bias.
Objectives: Despite NICE (2009; 2018) guidelines to treat breast cancer patients 'irrespective of age', older women experience differential treatment and worse outcomes beyond that which can be explained by patient health or patient choice. Research has evidenced the prevalence of ageism and identified the role of implicit bias in reflecting and perhaps perpetuating disparities across society, including in healthcare. Yet age bias has rarely been considered as an explanatory factor in poorer outcomes for older breast cancer patients. Methods: This mixed methods study explored age bias amongst breast cancer HCPs through four components: 1) An implicit associations test (31 HCPs) 2) A treatment recommendations questionnaire (46 HCPs). 3) An attitudes about older patients questionnaire (31 HCPs). 4) A treatment recommendations interview (20 HCPs). Results: This study showed that breast cancer HCPs held negative implicit associations towards older women; HCPs were less likely to recommend surgery for older patients; some HCPs held assumptions that older patients are more afraid, less willing and able to be involved in decision-making, and are less willing and able to cope with being informed of a poor treatment prognosis; and conditions which disproportionately affect older patients, such as dementia, are not always well understood by breast cancer HCPs. Conclusions: These results indicate that there are elements of age bias present amongst breast cancer HCPs. The study's findings of age-based assumptions and a poorer understanding of conditions which disproportionately affect older patients align with patterns of differential treatment towards older breast cancer patients suggesting that age bias may be, at least in part, driving differential treatment. (c) 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

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