Literature DB >> 30456810

Using word clouds to Re-envision letters of recommendation for residency applicants.

Sinehan B Bayrak1, Jennifer A Villwock1, Mark R Villwock1, Alexander G Chiu1, Kevin J Sykes1.   

Abstract

OBJECTIVES/HYPOTHESIS: To develop a "word cloud"-based visual letter of recommendation (VLOR) and to evaluate its efficiency in discerning applicant quality compared to narrative letters of recommendation (NLORs). STUDY
DESIGN: Cross-sectional cohort study.
METHODS: NLORs for 48 otolaryngology residency applicants interviewed from the 2016 application cycle were identified and mined for descriptive terms to generate a word cloud, referred to as a VLOR. Eight individuals reviewed and rated a total of 187 blinded NLORs and 48 VLORs on a four-point scale (negative to exceptional). Median VLOR and NLOR scores and the time to review for each candidate were compared using the Wilcoxon signed rank test.
RESULTS: It took significantly more time to review the NLORs in comparison to the VLORs (67 seconds, interquartile range [IQR]: 41-98 seconds vs. 17 seconds, IQR: 11-26 seconds, P < .001). There was no significant difference between median scores for VLORs and NLORs (P = .136). Review time and score correlated positively for VLORs and was statistically significant (ρ = 0.459, P = .001), indicating that more time spent reviewing equates to higher scores. The same relationship appeared with NLORs, but was not statistically significant (ρ = 0.276, P = .058).
CONCLUSIONS: VLORs are a novel and efficient additive tool for screening candidates for otolaryngology residency interview slots. Their scores do not significantly vary from NLOR scores and are significantly faster to evaluate. LEVEL OF EVIDENCE: 2b Laryngoscope, 129:2026-2030, 2019.
© 2018 The American Laryngological, Rhinological and Otological Society, Inc.

Keywords:  Letter of recommendation; application; otolaryngology; residency

Mesh:

Year:  2018        PMID: 30456810     DOI: 10.1002/lary.27613

Source DB:  PubMed          Journal:  Laryngoscope        ISSN: 0023-852X            Impact factor:   3.325


  2 in total

Review 1.  Systems-Level Reforms to the US Resident Selection Process: A Scoping Review.

Authors:  Ryley K Zastrow; Jesse Burk-Rafel; Daniel A London
Journal:  J Grad Med Educ       Date:  2021-06-14

2.  The development of lived experience-centered word clouds to support research uncertainty gathering in degenerative cervical myelopathy: results from an engagement process and protocol for their evaluation, via a nested randomized controlled trial.

Authors:  Benjamin M Davies; Oliver D Mowforth; Danyal Z Khan; Xiaoyu Yang; Sybil R L Stacpoole; Olesja Hazenbiller; Toto Gronlund; Lindsay Tetreault; Sukhvinder Kalsi-Ryan; Michelle L Starkey; Iwan Sadler; Ellen Sarewitz; Delphine Houlton; Julia Carter; Evangeline Howard; Vafa Rahimi-Movaghar; James D Guest; Bizhan Aarabi; Brian K Kwon; Shekar N Kurpad; James Harrop; Jefferson R Wilson; Robert Grossman; Emma K Smith; Angus G K McNair; Michael G Fehlings; Mark R N Kotter
Journal:  Trials       Date:  2021-06-25       Impact factor: 2.279

  2 in total

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