Exploring How Gender and Race Are Related to the Alignment of Anesthesiology Residents' Self-Assessments and Faculty Evaluation of Clinical Competencies

探讨性别和种族如何影响麻醉科住院医师的自我评估与教师对临床能力的评价的一致性

阅读:1

Abstract

BACKGROUND: Accurate self-assessment is critical for self-directed learning and clinical competency development. Identifying factors that influence resident's competency-based assessments is imperative to address potential disparities and foster an equitable training environment. However, studies on the relationship between demographic characteristics, such as gender and race, and self-assessment are scarce. This study aims to examine the alignment between residents' self-assessment and faculty evaluation of clinical competencies and investigate the gender- or race-related discrepancies in assessment. METHODS: This retrospective study analyzed Accreditation Council for Graduate Medical Education milestone scores and self-assessments from clinical anesthesiology residents at a single site over 6 academic years (December 2015 through June 2021). Semiannual Clinical Competency Committee (CCC) assessments and resident self-assessments were compared to measure assessment alignment. Data were analyzed using mixed-effects analysis of variance and Tukey test. RESULTS: The sample included 17 773 subcompetency ratings from 117 residents with no significant gender or race effects on CCC scores. Self-assessment scores showed a significant gender-race interaction in professionalism milestones (p = .025) with female white residents rating themselves lower than their female nonwhite (mean [95% confidence interval or CI] =14.26 [13.23, 15.30] versus 16.37 [15.15, 17.61], p = .049) and male white peers (mean [95% CI] = 14.26 [13.23, 15.30] versus 16.15 [15.41, 16.89], p = .020). Residents generally overestimated their competencies compared to CCC scores (p range: < .0001 to .702) with notable improvement in assessment alignment over time (p range: < .0001 to .002) except for interpersonal and communication skills (p = .091). White residents' medical knowledge assessment alignment was better than the nonwhite residents (mean difference, 95% CI = .22 [.03, .40], p = .027). CONCLUSIONS: Our study investigated the underexplored area of the roles gender and race play in residents' competency assessments. The findings suggest that further research is warranted to explore the impact of personal characteristics on competency assessment and to develop targeted interventions for improving competency assessment and reducing potential biases.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。