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Implicit bias in healthcare professionals: a systematic review
Chloë FitzGerald1, Samia Hurst2
1Institute for Ethics, History, and the Humanities, Faculty of Medicine University of Geneva, Genève, Switzerland. chloe.fitzgerald@unige.ch.
BMC Medical Ethics
|March 3, 2017
Summary
Healthcare professionals show implicit biases, similar to the general population, which can negatively impact patient care quality. Addressing these biases is crucial for reducing healthcare disparities.
Area of Science:
- Medical Ethics
- Psychology
- Health Disparities
Background:
- Implicit biases are unconscious associations influencing negative patient evaluations based on characteristics like race or gender.
- Healthcare professionals may exhibit these biases, impacting patient interactions and care.
Purpose of the Study:
- To review existing evidence on implicit biases among healthcare professionals.
- To assess the influence of these biases on patient care quality and clinical decision-making.
Main Methods:
- Systematic literature search of PubMed, PsychINFO, PsychARTICLE, and CINAHL (2003-2013).
- Inclusion of 42 peer-reviewed articles using implicit measures (e.g., Implicit Association Test) or vignette-based designs.
- Assessment of studies examining racial/ethnic, gender, age, and weight biases.
Main Results:
- Thirty-five studies found evidence of implicit bias in healthcare professionals.
- A significant positive correlation was observed between implicit bias levels and lower quality of care.
- Healthcare professionals exhibit implicit biases comparable to the general population.
Conclusions:
- Implicit biases in healthcare professionals can influence diagnoses, treatment decisions, and overall care quality.
- Further research in real-world settings and standardized testing methods are needed to address implicit bias in healthcare.
- Addressing implicit bias is essential for mitigating healthcare disparities.
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