VII. Mitigating Bias and Promoting Fairness
A. Recognizing and Avoiding Potential Sources of Bias
Bias in assessment can unfairly advantage or disadvantage certain groups of students based on factors unrelated to their knowledge or skills. This can be a problem for PA students, as potential biases can distort the true assessment of their understanding of complex medical scenarios. Understanding and avoiding biases is crucial in medical education to ensure equitable care for diverse patient populations.
BASIC Information
INTERMEDIATE Information
Cultural Bias: Questions that include culturally specific information or assume familiarity with certain cultural practices can disadvantage those unfamiliar with them. For instance, referencing a specific traditional remedy without providing context can be problematic.
Gender Bias: Always using male patients in scenarios or assuming that certain diseases only affect one gender can be misleading. A question that presents a female patient with heart disease symptoms but frames them in a way that makes them seem less severe, based on gender stereotypes, might misguide students.
Socioeconomic Bias: Assuming familiarity with certain lifestyles, foods, or activities that might be more common in specific socioeconomic classes can alienate students from different backgrounds. For example, framing a question around a patient's recent ski trip might not resonate with everyone.
Language and Ambiguity: Complex wording or the use of jargon and slang can introduce bias. All students might not be familiar with certain idiomatic expressions.
Review Questions for Bias: A diverse review committee can analyze questions to spot potential biases.
Pilot Test Questions: Before the actual assessment, testing questions on a diverse group of students can highlight unforeseen biases.
Feedback Mechanism: Allowing students to provide feedback on questions can be a way to gather information about potential biases.
ADVANCED Information
Confirmation Bias: Scorers might have preconceptions about students based on names, handwriting, or other factors. This can influence their scoring if they're not vigilant.
Clinical Vignette Bias: If case studies always represent a particular demographic, students might unconsciously develop a narrow clinical perspective. For instance, if all asthma patient scenarios involve children, students might not consider asthma promptly in an elderly patient vignette.
Recency and Primacy Effects: Scorers might be influenced by recent or initial responses they've graded. For example, after reading several outstanding responses, an average response might seem poorer than it is.
Blind Scoring: Ensure scorers don't have access to student names or other identifying details.
Automated Text Analysis: Advanced software can be used to scan questions for potential biased terms or scenarios.
Diversify Case Studies: Ensure that patient vignettes represent varied demographics, conditions, and socioeconomic backgrounds.
Regular Scorer Training: Conduct refresher courses for scorers emphasizing the importance of unbiased grading.