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Implicit bias toward cervical cancer: Provider and training differences.

Juliana Liang1, Katherine Wolsiefer2, Colin A Zestcott3

  • 1University of Arizona College of Medicine, Phoenix, USA.

Gynecologic Oncology
|February 12, 2019
PubMed
Summary

Gynecologic oncology providers exhibit implicit bias toward cervical cancer patients. Nurses and those without bias training showed higher levels, suggesting a need for targeted interventions to improve patient care.

Keywords:
Cervical cancerCultural competencyImplicit bias

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Area of Science:

  • Oncology
  • Healthcare Disparities
  • Medical Psychology

Background:

  • Implicit biases and stereotypes can unconsciously affect healthcare providers' actions.
  • These biases may negatively impact patient outcomes, particularly in sensitive areas like gynecologic oncology.
  • Understanding provider biases is crucial for equitable patient care.

Purpose of the Study:

  • To investigate implicit prejudice and stereotyping among gynecologic oncology care providers concerning cervical cancer.
  • To compare implicit biases towards cervical cancer versus ovarian cancer.
  • To identify factors that may moderate these implicit biases.

Main Methods:

  • A cohort of gynecologic oncology professionals completed two Implicit Association Tests.
  • The tests assessed implicit associations of cervical cancer with anger (prejudice) and culpability (stereotypes).
  • Statistical analyses, including linear models and t-tests, were used to evaluate bias levels and moderators.

Main Results:

  • Gynecologic oncology providers demonstrated significant implicit prejudice (mean=0.17) and stereotyping (mean=0.15) toward cervical cancer patients.
  • Nurses exhibited higher levels of implicit prejudice and stereotyping compared to physicians.
  • Providers who had not undergone cultural competency or implicit bias training showed greater bias.

Conclusions:

  • This study is the first to document implicit biases among gynecologic oncology providers regarding cervical cancer.
  • Findings indicate a need for targeted interventions, especially for nurses and those without bias training.
  • Addressing these implicit biases is essential for enhancing patient interactions and care quality.