Sally A. Santen MD, PhD, Yvette Calderon MD, MS, Earl Reisdorff MD, Mary M. Johnston PhD, Kevin B. Joldersma PhD, Theodore Corbin MD, Chadd K. Kraus DO, MPH, DrPH, Dowin Boatright MD, MBA, MHS
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The objective of this study was to determine what physician factors (e.g., gender, age, race/ethnicity, medical school training, and other factors) were associated with the American Board of Emergency Medicine qualifying examination (QE) performance and pass rates.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>This was a national retrospective, observational, cross-sectional study exploring factors associated with the QE. Subjects were physicians who graduated from accredited emergency medicine (EM) categorical residency programs who took the QE for the first time in 2017, 2018, or 2019. A series of multilevel models was used to examine if physician characteristics were related to score and passing the QE. Relative risks were calculated.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>There were 6174 EM graduates, 2118 of whom were women and 588 who were underrepresented in medicine (URiM) physicians. Controlling for other variables, in-training examination (ITE) scores and medical doctor (MD) degrees were positively related to mean QE scores, whereas age, 3-year programs, URiM, and male gender were negatively related to mean QE scores. The QE pass rate was 94%, 95% for non-URiM and 86% for URiM. Results of the full model indicated ITE score, age, URiM, gender, MD degree, and residency program format were significantly related to performance on the QE. In the final model, passing the QE was positively related to ITE scores and negatively related to age and URiM. After other variables were controlled for, the adjusted risk ratio for URiM was 0.94.</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>Several factors were associated with decreased pass rates on the ABEM QE including ITE scores, older age, and URiM, although the risk ratios were small.</p>\n </section>\n </div>","PeriodicalId":37032,"journal":{"name":"AEM Education and Training","volume":"9 1","pages":""},"PeriodicalIF":1.7000,"publicationDate":"2025-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Factors associated with performance on the emergency medicine qualifying examination\",\"authors\":\"Sally A. Santen MD, PhD, Yvette Calderon MD, MS, Earl Reisdorff MD, Mary M. Johnston PhD, Kevin B. Joldersma PhD, Theodore Corbin MD, Chadd K. 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引用次数: 0
摘要
背景 美国急诊医学委员会的认证标准超过了各州执照的基本要求,向公众保证专科医生能够展现出更多的临床技能、知识和专业行为,以提供安全、优质的专科医疗服务。本研究旨在确定哪些医生因素(如性别、年龄、种族/民族、医学院培训和其他因素)与美国急诊医学委员会资格考试(QE)成绩和通过率相关。 方法 这是一项全国性的回顾性、观察性、横断面研究,探讨与 QE 相关的因素。研究对象是毕业于经认可的急诊医学(EM)分类住院医师培训项目的医生,他们在 2017 年、2018 年或 2019 年首次参加了 QE。我们使用了一系列多层次模型来研究医生的特征是否与 QE 的得分和通过率有关。计算了相对风险。 结果 有 6174 名少管所毕业生,其中 2118 名是女性,588 名是医学领域代表性不足(URiM)的医生。在控制其他变量的情况下,培训中考试(ITE)分数和医学博士(MD)学位与平均 QE 分数呈正相关,而年龄、3 年制课程、URiM 和男性性别与平均 QE 分数呈负相关。QE 通过率为 94%,非 URiM 为 95%,URiM 为 86%。完整模型的结果表明,ITE 分数、年龄、URiM、性别、医学博士学位和住院医师培训项目形式与 QE 成绩有显著关系。在最终模型中,通过 QE 与 ITE 分数呈正相关,而与年龄和 URiM 呈负相关。在控制了其他变量后,URiM 的调整风险比为 0.94。 结论 有几个因素与 ABEM QE 通过率下降有关,包括 ITE 分数、年龄较大和 URiM,尽管风险比很小。
Factors associated with performance on the emergency medicine qualifying examination
Background
Board certification standards exceed the baseline requirements for state licensure, assuring the public that specialists demonstrate additional clinical skills, knowledge, and professional behavior to provide safe and high-quality specialty care. The objective of this study was to determine what physician factors (e.g., gender, age, race/ethnicity, medical school training, and other factors) were associated with the American Board of Emergency Medicine qualifying examination (QE) performance and pass rates.
Methods
This was a national retrospective, observational, cross-sectional study exploring factors associated with the QE. Subjects were physicians who graduated from accredited emergency medicine (EM) categorical residency programs who took the QE for the first time in 2017, 2018, or 2019. A series of multilevel models was used to examine if physician characteristics were related to score and passing the QE. Relative risks were calculated.
Results
There were 6174 EM graduates, 2118 of whom were women and 588 who were underrepresented in medicine (URiM) physicians. Controlling for other variables, in-training examination (ITE) scores and medical doctor (MD) degrees were positively related to mean QE scores, whereas age, 3-year programs, URiM, and male gender were negatively related to mean QE scores. The QE pass rate was 94%, 95% for non-URiM and 86% for URiM. Results of the full model indicated ITE score, age, URiM, gender, MD degree, and residency program format were significantly related to performance on the QE. In the final model, passing the QE was positively related to ITE scores and negatively related to age and URiM. After other variables were controlled for, the adjusted risk ratio for URiM was 0.94.
Conclusions
Several factors were associated with decreased pass rates on the ABEM QE including ITE scores, older age, and URiM, although the risk ratios were small.