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首页> 外文期刊>Academic Medicine: Journal of the Association of American Medical Colleges >Predicting Performance of First-Year Residents: Correlations Between Structured Interview, Licensure Exam, and Competency Scores in a Multi-Institutional Study
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Predicting Performance of First-Year Residents: Correlations Between Structured Interview, Licensure Exam, and Competency Scores in a Multi-Institutional Study

机译:预测一年居民的表现:结构化访谈,许可考试和多机构研究中的能力分数之间的相关性

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Purpose To determine whether scores on structured interview (SI) questions designed to measure noncognitive competencies in physicians (1) predict subsequent first-year resident performance on Accreditation Council for Graduate Medical Education (ACGME) milestones and (2) add incremental validity over United States Medical Licensing Examination (USMLE) Step 1 and Step 2 Clinical Knowledge scores in predicting performance. Method The authors developed 18 behavioral description questions to measure key noncognitive competencies (e.g., teamwork). In 2013-2015, 14 programs (13 residency, 1 fellowship) from 6 institutions used subsets of these questions in their selection processes. The authors conducted analyses to determine the validity of SI and USMLE scores in predicting first-year resident milestone performance in the ACGME's core competency domains and overall. Results SI scores predicted midyear and year-end overall performance (r = 0.18 and 0.19, respectively, P .05) and year-end performance on patient care, interpersonal and communication skills, and professionalism competencies (r = 0.23, r = 0.22, and r = 0.20, respectively, P .05). SI scores contributed incremental validity over USMLE scores in predicting year-end performance on patient care (Delta R = 0.05), interpersonal and communication skills (Delta R = 0.09), and professionalism (Delta R = 0.09; all P .05). USMLE scores contributed incremental validity over SI scores in predicting year-end performance overall and on patient care and medical knowledge. Conclusions SI scores predict first-year resident year-end performance in the interpersonal and communication skills, patient care, and professionalism competency domains. Future research should investigate whether SIs predict a range of clinically relevant outcomes.
机译:目的是确定是否在旨在衡量医生非认知能力(1)的结构性访谈(SI)问题上的分数(1)预测对毕业生医学教育(ACGME)里程碑(ACGME)里程碑和(2)的认可委员会的后续居民绩效增加了美国的增量有效性医疗许可检查(USMLE)步骤1和步骤2在预测性能方面的临床知识评分。方法作者开发了18个行为描述问题,以衡量关键的非认知能力(例如,团队合作)。 2013-2015,从6个机构的14个计划(13名居住,1名奖学金)在其选择过程中使用了这些问题的子集。作者进行了分析,以确定SI和USMLE分数的有效性,以预测ACGME核心竞争力域和总体上的一年常驻地区性能。结果Si评分预测了患者护理,人际关系和沟通技巧以及专业态度(r = 0.18,分别)和年终的患者关注,人际关系和沟通技巧的年终性能(r = 0.23,r = 0.22和r = 0.20,分别p <.05)。 SI分数在预测患者护理(Delta R = 0.05),人际和沟通技巧(Delta r = 0.09)的年终性能方面对USMLE分数有所增加的有效性贡献了USMLE分数。 USMLE得分在预测整体和患者护理和医学知识的年终性能方面取得了增量的有效性。结论SI分数预测人际关系和沟通技巧,患者护理和专业能力域中的一年居民年终表现。未来的研究应该调查SIS是否预测了一系列临床相关结果。

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