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Do they speak like me? Exploring how perceptions of linguistic difference may influence patient perceptions of healthcare providers.
Lee, Donghee N; Hutchens, Myiah J; George, Thomas J; Wilson-Howard, Danyell; Cooks, Eric J; Krieger, Janice L.
Afiliação
  • Lee DN; Department of Population and Quantitative Health Sciences, Division of Preventive and Behavioral Medicine, UMass Chan Medical School, Worcester, USA.
  • Hutchens MJ; Department of Public Relations, College of Journalism and Communications, University of Florida, Gainesville, USA.
  • George TJ; Department of Medicine, College of Medicine, University of Florida and University of Florida Health Cancer Center, Gainesville, USA.
  • Wilson-Howard D; Department of Natural Sciences, Bethune-Cookman University, Daytona Beach, USA.
  • Cooks EJ; STEM Translational Communication Center, University of Florida and University of Florida Health Cancer Center, Gainesville, USA.
  • Krieger JL; STEM Translational Communication Center, University of Florida and University of Florida Health Cancer Center, Gainesville, USA.
Med Educ Online ; 27(1): 2107470, 2022 Dec.
Article em En | MEDLINE | ID: mdl-35912473
ABSTRACT
The increased utilization of telehealth has provided patients with the opportunity to interact with racially diverse healthcare providers (HCPs). While evidence of racial stereotypes in healthcare is well documented, less is known about whether linguistic cues increase or decrease racial bias in healthcare interactions. The purpose of this pilot study was to use virtual clinicians (VCs) to examine how varying linguistic features affect patient perceptions of Black-identifying HCPs. Participants (N = 282) were recruited to participate in an online pilot study using a two-arm posttest-only experimental design. Participants were randomly assigned to interact with a Black VC that used vocal cues associated with either Standard American English (SAE) or African American English (AAE) on the topic of colorectal cancer. After the interaction, participants completed a posttest questionnaire. Resulting data were analyzed using mediation.
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Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 1_ASSA2030 Base de dados: MEDLINE Assunto principal: Racismo Tipo de estudo: Clinical_trials Limite: Humans País/Região como assunto: America do norte Idioma: En Revista: Med Educ Online Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 1_ASSA2030 Base de dados: MEDLINE Assunto principal: Racismo Tipo de estudo: Clinical_trials Limite: Humans País/Região como assunto: America do norte Idioma: En Revista: Med Educ Online Ano de publicação: 2022 Tipo de documento: Article