Experiences of Patient Bigotry Among Doctor of Audiology Graduate Clinicians: A Review and Recommendations.

  • Published In: American Journal of Audiology, 2023, v. 32, n. 4. P. 962 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Avery Kirjava, Shade; Vallejo, Ricardo 3 of 3

Abstract

Purpose: Students in audiology clinical doctorate programs in the United States are required to participate in direct patient care under the supervision of a licensed precepting audiologist during their schooling. Audiology student clinicians commonly rotate through a variety of clinical settings with their own organizational structure, policies, and precepting clinicians. Systemic prejudice and stigma cause many of these student clinicians to experience bigotry from the patients they work with. Method: This review discusses the populations of audiology students at highest risk of patient bigotry and discusses the intersectionality of students with several historically marginalized identities. Results: Little scholarship exists in the field of audiology on the bigotry that graduate student clinicians experience. The effects of bigotry are reviewed, and practical guidance on preparing for and responding to bigotry from patients is provided. Conclusions: As health care workers, these students are essential workers contributing to the health and health care of the population, making their well-being a critical public health concern. Bigotry from others has been shown to contribute to mental illness, burnout, and poorer physical health among the people experiencing it. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:American Journal of Audiology. 2023/12, Vol. 32, Issue 4, p962
  • Document Type:Article
  • Subject Area:Sociology
  • Publication Date:2023
  • ISSN:1059-0889
  • DOI:10.1044/2023_AJA-23-00022
  • Accession Number:173998897
  • Copyright Statement:Copyright of American Journal of Audiology is the property of American Speech-Language-Hearing Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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