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Using Visual and Narrative Methods to Achieve Fair Process in Clinical Care
Published on: February 16, 2011
Implementing Holistic Applicant Review and Addressing Biases in Anesthesiology Residency Committee Deliberations.
Pedro Tanaka1, Marianne C Chen, Theodoro Beck
1From the Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, California.
A new holistic review rubric for residency applications showed a strong correlation with final rankings. This method can optimize recruitment by assessing diverse applicant attributes while identifying potential unconscious biases in committee discussions.
Area of Science:
- Medical Education
- Residency Recruitment
- Qualitative Research
Background:
- Holistic review may enhance resident recruitment by aligning applicant characteristics with program culture.
- This study aimed to develop a holistic scoring rubric, assess its correlation with final applicant rankings, and identify unconscious biases in recruitment discussions.
Purpose of the Study:
- To develop a stakeholder-driven holistic scoring rubric for residency applications.
- To measure the rubric's correlation with the final ranking for the National Resident Matching Program (NRMP) Match.
- To qualitatively analyze interview committee discussions for unconscious biases.
Main Methods:
- Forty stakeholders participated in a consensus process to define valued applicant attributes and create a scoring rubric.
- The rubric was applied to 203 interviewed applicants during virtual recruitment.
- Interview committee discussions were transcribed and analyzed using phenomenology to identify biases.
Main Results:
- A 10-dimension rubric was developed, with diversity receiving the lowest weight.
- The rubric score strongly correlated with the final global rating (r = 0.94, P < .001).
- Common biases identified included in-group bias, stereotyping, cohort bias, and anchoring bias.
Conclusions:
- Stakeholder-developed holistic review effectively evaluates residency applicants based on diverse attributes and experiences.
- Analysis of committee discussions revealed significant biases that necessitate targeted mitigation strategies.
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