Journal article
Best Practices for Reducing Bias in the Interview Process
Current urology reports, Vol.23(11), pp.319-325
10/12/2022
DOI: 10.1007/s11934-022-01116-7
PMCID: PMC9553626
PMID: 36222998
Abstract
Purpose of Review Objective measures of residency applicants do not correlate to success within residency. While industry and business utilize standardized interviews with blinding and structured questions, residency programs have yet to uniformly incorporate these techniques. This review focuses on an in-depth evaluation of these practices and how they impact interview formatting and resident selection.
Recent Findings Structured interviews use standardized questions that are behaviorally or situationally anchored. This requires careful creation of a scoring rubric and interviewer training, ultimately leading to improved interrater agreements and biases as compared to traditional interviews. Blinded interviews eliminate even further biases, such as halo, horn, and affinity bias. This has also been seen in using multiple interviewers, such as in the multiple mini-interview format, which also contributes to increased diversity in programs. These structured formats can be adopted to the virtual interviews as well.
Summary There is growing literature that using structured interviews reduces bias, increases diversity, and recruits successful residents. Further research to measure the extent of incorporating this method into residency interviews will be needed in the future.
Details
- Title: Subtitle
- Best Practices for Reducing Bias in the Interview Process
- Creators
- Ilana Bergelson - University of IowaChad Tracy - Univ Iowa, Dept Urol, Iowa City, IA 52242 USAElizabeth Takacs - Univ Iowa, Dept Urol, Iowa City, IA 52242 USA
- Resource Type
- Journal article
- Publication Details
- Current urology reports, Vol.23(11), pp.319-325
- DOI
- 10.1007/s11934-022-01116-7
- PMID
- 36222998
- PMCID
- PMC9553626
- NLM abbreviation
- Curr Urol Rep
- ISSN
- 1527-2737
- eISSN
- 1534-6285
- Publisher
- Springer Nature
- Number of pages
- 7
- Language
- English
- Date published
- 10/12/2022
- Academic Unit
- Radiology; Obstetrics and Gynecology; Urology
- Record Identifier
- 9984318793802771
Metrics
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