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"When Appearances Matter: A Taxonomy and Ethics for Demographic-Based Provider Requests".

Carrie C Wu1, Jacob M Appel2

  • 1Harvard Medical School, Adult Psychosocial Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.

Cambridge Quarterly of Healthcare Ethics : CQ : the International Journal of Healthcare Ethics Committees
|January 9, 2023
PubMed
Summary

Patient requests for healthcare providers of specific demographics present ethical challenges. This paper offers a taxonomy and guidance for institutions to address these requests equitably and consistently, navigating diverse motivations.

Keywords:
challengesdemographic backgroundsequityethicaljusticeprejudicestaxonomy

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Area of Science:

  • Medical Ethics
  • Healthcare Management
  • Sociology in Medicine

Background:

  • Patient requests for providers of specific demographic backgrounds are a complex issue in healthcare.
  • Motivations behind these requests vary widely, ranging from valid concerns to societal prejudices.
  • Existing frameworks for addressing such requests are often inconsistent and inequitable.

Purpose of the Study:

  • To propose a novel taxonomy for classifying patient requests based on provider demographics.
  • To analyze the ethical and logistical challenges associated with fulfilling or denying these requests.
  • To provide guidance for healthcare institutions in managing patient demographic preferences.

Main Methods:

  • Development of a classification system (taxonomy) for patient demographic requests.
  • Review of ethical principles related to patient autonomy, non-discrimination, and justice.
  • Analysis of logistical considerations in healthcare provider assignment.
  • Synthesis of existing literature and ethical frameworks.

Main Results:

  • The proposed taxonomy categorizes requests, aiding in consistent evaluation.
  • Identifies key ethical dilemmas, including potential discrimination and patient trust.
  • Highlights logistical hurdles in matching patient preferences with provider availability and institutional policies.
  • Outlines potential biases influencing request motivations.

Conclusions:

  • Healthcare institutions require structured approaches to manage patient demographic requests.
  • Balancing patient preferences with principles of equity and justice is crucial.
  • The proposed taxonomy and guidance can foster fairer and more consistent responses.
  • Addressing these requests necessitates careful consideration of ethical, societal, and operational factors.