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Racial Bias in Telemedicine: A Within-Subjects Study of Medical Student Attitudes and Affect
Racial Bias in Telemedicine: A Within-Subjects Study of Medical Student Attitudes and Affect
상세정보
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20260202105127
- ISBN
- 9798293848027
- DDC
- 614
- 저자명
- Manbeck, K.
- 서명/저자
- Racial Bias in Telemedicine: A Within-Subjects Study of Medical Student Attitudes and Affect
- 발행사항
- [Sl] : University of Washington, 2025
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2025
- 형태사항
- 102 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 87-03, Section: A.
- 주기사항
- Advisor: Kanter, Jonathan W.
- 학위논문주기
- Thesis (Ph.D.)--University of Washington, 2025.
- 초록/해제
- 요약Health disparities are a matter of grave public health significance. Racial health disparities have complex etiologies and correlates but remain when controlling for other social determinants of health and patient factors such as treatment refusal. Residual disparities reflect differences in provider treatment of White and minority patients. One factor contributing to disparate treatment of minority patients is provider implicit bias-non-conscious biases that alter behavior. However, research suggests that intervening directly on implicit bias may not be effective, indicating that novel directions are needed to understand and address health disparities.Effects of implicit bias on disparities may be clarified by articulating and examining the constructs underlying implicit bias. This dissertation examines intergroup anxiety (anxiety that manifests in interracial interactions in response to negative expectations) as a mediator of the relationship between implicit bias and provider behavior.I first conduct a narrative review to understand the literature related to implicit bias and intergroup behavior. Then, I report on a within-subjects study in which medical student participants (N = 71) interacted with Black and White standardized patients in a telemedicine context. In Aim 1, I conducted preliminary video review in hopes of developing a coding scheme to assess nonverbal behaviors indicative of anxiety. In Aim 2, I used regression analysis to examine the associations between intergroup anxiety and communication behaviors. In Aim 3, I used regression analysis and the Baron and Kenny mediation approach to assess the relationships between implicit bias and intergroup anxiety and the direct and indirect effects of implicit bias on communication behaviors.I report that one of six mediation models tested was significant; observer-rated nervousness was negatively associated with observer-rated warmth. However, as I explore in the results and discussion, low interrater reliability and concerns related to model assumptions indicate that readers should exercise caution in interpreting results. Despite methodological concerns, our preliminary findings indicate weak support for intergroup anxiety as a construct that contributes to disparate provider behaviors.While many health disparities researchers are conducting research to reduce health disparities, and research has produced important findings contributing to real-world reductions and improvements in care, it is the experience of this author and my dissertation that the research paradigm itself produces significant obstacles to real-world impact and external validity. My project, like many other mechanistic studies in this field, would have benefited from an approach that focused on connecting with the marginalized communities of concern in deeper and more intimate ways, such as Community-Based Participatory Research.
- 일반주제명
- Public health
- 일반주제명
- Medicine
- 일반주제명
- Health sciences
- 일반주제명
- Health education
- 키워드
- Health care
- 키워드
- Implicit bias
- 키워드
- Telemedicine
- 기타저자
- University of Washington Psychology
- 기본자료저록
- Dissertations Abstracts International. 87-03A.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■006m o d
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■020 ▼a9798293848027
■035 ▼a(MiAaPQ)AAI32238892
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a614
■1001 ▼aManbeck, K.
■24510▼aRacial Bias in Telemedicine: A Within-Subjects Study of Medical Student Attitudes and Affect
■260 ▼a[Sl]▼bUniversity of Washington▼c2025
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2025
■300 ▼a102 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 87-03, Section: A.
■500 ▼aAdvisor: Kanter, Jonathan W.
■5021 ▼aThesis (Ph.D.)--University of Washington, 2025.
■520 ▼aHealth disparities are a matter of grave public health significance. Racial health disparities have complex etiologies and correlates but remain when controlling for other social determinants of health and patient factors such as treatment refusal. Residual disparities reflect differences in provider treatment of White and minority patients. One factor contributing to disparate treatment of minority patients is provider implicit bias-non-conscious biases that alter behavior. However, research suggests that intervening directly on implicit bias may not be effective, indicating that novel directions are needed to understand and address health disparities.Effects of implicit bias on disparities may be clarified by articulating and examining the constructs underlying implicit bias. This dissertation examines intergroup anxiety (anxiety that manifests in interracial interactions in response to negative expectations) as a mediator of the relationship between implicit bias and provider behavior.I first conduct a narrative review to understand the literature related to implicit bias and intergroup behavior. Then, I report on a within-subjects study in which medical student participants (N = 71) interacted with Black and White standardized patients in a telemedicine context. In Aim 1, I conducted preliminary video review in hopes of developing a coding scheme to assess nonverbal behaviors indicative of anxiety. In Aim 2, I used regression analysis to examine the associations between intergroup anxiety and communication behaviors. In Aim 3, I used regression analysis and the Baron and Kenny mediation approach to assess the relationships between implicit bias and intergroup anxiety and the direct and indirect effects of implicit bias on communication behaviors.I report that one of six mediation models tested was significant; observer-rated nervousness was negatively associated with observer-rated warmth. However, as I explore in the results and discussion, low interrater reliability and concerns related to model assumptions indicate that readers should exercise caution in interpreting results. Despite methodological concerns, our preliminary findings indicate weak support for intergroup anxiety as a construct that contributes to disparate provider behaviors.While many health disparities researchers are conducting research to reduce health disparities, and research has produced important findings contributing to real-world reductions and improvements in care, it is the experience of this author and my dissertation that the research paradigm itself produces significant obstacles to real-world impact and external validity. My project, like many other mechanistic studies in this field, would have benefited from an approach that focused on connecting with the marginalized communities of concern in deeper and more intimate ways, such as Community-Based Participatory Research.
■590 ▼aSchool code: 0250.
■650 4▼aPublic health
■650 4▼aMedicine
■650 4▼aHealth sciences
■650 4▼aHealth education
■653 ▼aHealth disparities
■653 ▼aHealth care
■653 ▼aImplicit bias
■653 ▼aTelemedicine
■653 ▼aMedical student attitudes
■690 ▼a0573
■690 ▼a0566
■690 ▼a0564
■690 ▼a0769
■690 ▼a0680
■71020▼aUniversity of Washington▼bPsychology.
■7730 ▼tDissertations Abstracts International▼g87-03A.
■790 ▼a0250
■791 ▼aPh.D.
■792 ▼a2025
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17359493▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.


