内隐联想测试本身并不足以增加医师助理项目中少数族裔的代表性。

Q2 Health Professions Journal of Physician Assistant Education Pub Date : 2023-12-01 Epub Date: 2023-07-19 DOI:10.1097/JPA.0000000000000523
Darin Ryujin, Doris Dalton, Menerva Yole-Lobe, Michelle DiBiase, Paula Phelps, Ann Madden, Jon Clark, Carey L Barry, José E Rodriguez, Trenton Honda
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引用次数: 0

摘要

目的:医师助理(PA)项目的学生一直比美国人口多样化。本研究评估了内隐联想测验(IAT)对PA项目招生委员会的管理是否与以下可能性的变化有关:(1)接受入学面试,(2)收到录取通知书,以及(3)医学中代表性不足的个人(URiM)的入学。方法:在2019/2020招生周期之前,来自4个PA项目的招生委员会参加了一次IAT。将患者结局数据(n = 5796)与2018/2019周期(n = 6346)进行比较。使用随机效应多元逻辑回归模型评估URiM学生获得面试、录取和入学通知的可能性。完全调整的随机效应模型包括URiM状态、年份(对照与干预)、URiM与年份之间的乘法交互项、申请人年龄和本科平均绩点(GPA)。二级分析分别检查了每个种族/民族的关联。结果:医学状况、年龄和GPA不足与所有入院结果显著相关(P < 0.05)。干预效果无统计学意义。在检查每个种族而不是URiM状态的敏感性分析中,我们的结果没有重大差异。结论:研究结果表明,招生委员会成员在录取前参与IAT对我校学生的录取可能性没有显著影响。这可能表明,让个人意识到他们的隐性偏见本身并不足以有效地影响PA项目录取指标的多样性。
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Implicit Association Test Alone Is Not Sufficient to Increase Underrepresented Minority Representation in Physician Assistant Programs.

Purpose: Physician assistant (PA) program matriculants are consistently less diverse than the US population. This study evaluates whether administration of an Implicit Association Test (IAT) to PA program admission committees is associated with changes in the likelihood of (1) receiving an admission interview, (2) receiving an offer of admission, and (3) matriculation of individuals underrepresented in medicine (URiM).

Methods: Admission committees from 4 PA programs participated in an IAT before the 2019/2020 admissions cycle. Applicant outcome data (n = 5796) were compared with 2018/2019 cycle (n = 6346). Likelihood of URiM students receiving offers to interview, offers of admission, and matriculation were evaluated using random effects multiple logistic regression models. Fully adjusted random effects models included URiM status, year (control vs. intervention), multiplicative interaction terms between URiM and year, applicant age, and undergraduate grade point average (GPA) Secondary analyses examined associations of each race/ethnicity individually.

Results: Underrepresented in medicine status, age, and GPA were significantly associated with all admission outcomes ( P < .05). The intervention effect was not statistically significant. In sensitivity analyses examining each individual race rather than URiM status, our results did not importantly differ.

Conclusion: Findings suggest admission committee member participation in IAT before admissions had no significant impact on the likelihood of admission of URiM students. This may suggest that making individuals aware of their implicit biases is not, in and of itself, sufficient to meaningfully affect the diversity of PA program admission metrics.

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