首页> 外文期刊>The Journal of Bone and Joint Surgery. American Volume >Use of Standardized Letters of Recommendation for Orthopaedic Surgery Residency Applications A Single-Institution Retrospective Review
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Use of Standardized Letters of Recommendation for Orthopaedic Surgery Residency Applications A Single-Institution Retrospective Review

机译:使用标准化的建议书来矫形外科居住股权应用单一机构回顾性审查

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摘要

Background: Standardized letters of recommendation (SLORs) were introduced to provide a more objective method of evaluating applicants for orthopaedic surgery residency positions. We sought to establish whether there exists an association between the SLOR summative rank statement (SRS), which is a question that asks the letter-writing authors where they would rank a student relative to other applicants, and success in matching into orthopaedic surgery residency. Methods: We reviewed 858 applications to an orthopaedic surgery residency program from 2017 to 2018. Data on 9 assessment categories, SRSs, and written comments in the SLORs were extracted. The match success of applicants was determined by an internet search algorithm. Logistic regression was used to evaluate the association between the SRSs and match success. The Spearman correlation was performed between the SRSs and other variables. Results: Only 60% of all LORs were SLORs. With 24% of the SLORs, a supplemental letter was used. Median percentile rank ranged from 90% to 100% for the 9 categories in the SLORs. Recommendations of "high rank" or higher were found in 88% of the SRSs. The mean of the SLOR SRSs was associated with match success. Conclusions: The mean of the SLOR SRSs was associated with match success. However, the SLOR is not uniformly used. Future efforts should be devoted to improving question design and validity in order to better discriminate among applicants, increase adherence to the rating scale, and quantify the strength of the written comments in the SLOR.
机译:背景:介绍了标准化的建议(SLORS)信函,以提供更客观的评估矫形外科居住位置申请人的方法。我们试图建立SloS Summative等级声明(SRS)之间是否存在关联,这是一个问题,该问题询问了信函书写作者,他们将学生排名一名学生,以及与骨科手术居住相匹配的成功。方法:从2017年至2018年向2017年至2018年向骨科外科居住计划审查了858份申请。提取有关9个评估类别,SRS和书面评论的数据。申请人的匹配成功由互联网搜索算法确定。 Logistic回归用于评估SRSS之间的关联并匹配成功。在SRS和其他变量之间执行SPEARMAN相关性。结果:只有60%的洛根是斜线。占24%的斜线,使用了一个补充信。斜线中9个类别的中位数百分位数范围从90%到100%。在88%的SRS中发现了“高级”或更高版本的建议。 SROS SRS的平均值与匹配成功相关。结论:SRASS的平均值与匹配成功相关。但是,斜面不均匀使用。应致力于改善问题设计和有效性的未来努力,以便更好地歧视申请人,增加对评级规模的依从性,并量化了级别中书面评论的力量。

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