Evidence map›Paper›PMID 36222998›Full record

ReviewCurrent urology reports2022

Best Practices for Reducing Bias in the Interview Process.

Ilana Bergelson, Chad Tracy, Elizabeth Takacs

Abstract readReview
In one paragraph

Review in Current urology reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed.

  1. Article
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  5. Diversifying the Interventional Cardiology Workforce: Why It Matters and How to Achieve It.Journal of the Society for Cardiovascular Angiography & Interventions · 2026
    Review
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  17. The relationship between self-reported antipsychotics side effects and depression in Saudi Arabia.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2024
    Article
  18. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Ilana BergelsonDepartment of Urology, University of Iowa, Iowa City, USA. ilana-bergelson@uiowa.edu.
Chad TracyDepartment of Urology, University of Iowa, Iowa City, USA.
Elizabeth TakacsDepartment of Urology, University of Iowa, Iowa City, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewObjective 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

findingsStructured 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. 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.

Indexed as

Internship and ResidencyHumansBlinded interviewersMedical studentResident selectionStructured interviewsUrology

Identifiers

PMID36222998
PMCPMC9553626

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.