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录取变量:医师助理学生成功的预测因素。

Admissions Variables: Predictors of Physician Assistant Student Success.

作者信息

Honda Trenton, Patel-Junankar Dipu, Baginski Robert, Scott Rebecca

机构信息

Trenton Honda, PhD, PA-C, is division chief and an associate professor in the Department of Family and Preventive Medicine at the University of Utah School of Medicine in Salt Lake City, Utah. Dipu Patel-Junankar, MPAS, PA-C, is an assistant clinical professor and associate program director at the Northeastern University Physician Assistant Program in Boston, Massachusetts. Robert Baginski, MD, is an assistant clinical professor and medical director at the Northeastern University Physician Assistant Program in Boston, Massachusetts. Rebecca Scott, PhD, PA-C, is an assistant professor and program director at the Center for Physician Assistant Studies, Johnson and Wales University in Providence, Rhode Island.

出版信息

J Physician Assist Educ. 2018 Sep;29(3):167-172. doi: 10.1097/JPA.0000000000000212.

Abstract

PURPOSE

Physician assistant (PA) programs have heterogeneous admissions processes, but limited information is available as to which preadmission variables are associated with the greatest PA program success. We assessed the associations between preadmission criteria and PA program outcomes while accounting for numerous potential confounders and potential cohort effects.

METHODS

In a sample of 147 students from a single New England PA program, we used random intercept multiple regression models to examine the associations between 2 PA program outcomes-Physician Assistant National Certifying Examination (PANCE) scores and PA program grade point averages (GPAs)-and multiple predictors of interest, including undergraduate GPA; hours of paid, hands-on patient care experience; and undergraduate institution rank. Fully adjusted models additionally controlled for age and educationally or economically disadvantaged background.

RESULTS

In fully adjusted models, a 1-unit increase in undergraduate GPA (54.55 ± 20.32, P = .012) and a 10% increase in preadmission clinical experience hours (18.32 ± 8.50, P = .033) were significantly associated with increased PANCE scores. When PA program GPA was examined as an outcome, only undergraduate GPA was significantly associated (0.15 ± 0.05, P = .004). Undergraduate institution rank was not a significant predictor in any model.

CONCLUSIONS

Undergraduate GPA and preadmission clinical experience hours were significant predictors of student outcomes in this small, retrospective cohort study. Undergraduate institution rank was highly nonsignificant in all models. These findings add to the burgeoning literature on admissions predictors of PA program success.

摘要

目的

医师助理(PA)项目的录取过程各不相同,但关于哪些入学前变量与PA项目的最大成功相关的信息有限。我们评估了入学前标准与PA项目结果之间的关联,同时考虑了众多潜在的混杂因素和潜在的队列效应。

方法

在一个来自新英格兰单一PA项目的147名学生样本中,我们使用随机截距多元回归模型来检验两个PA项目结果——医师助理国家认证考试(PANCE)成绩和PA项目平均绩点(GPA)——与多个感兴趣的预测因素之间的关联,这些因素包括本科GPA;带薪的实践患者护理经验时长;以及本科院校排名。完全调整后的模型还控制了年龄以及教育或经济弱势背景。

结果

在完全调整后的模型中,本科GPA每增加1个单位(54.55±20.32,P = 0.012)以及入学前临床经验时长增加10%(18.32±8.50,P = 0.033)与PANCE成绩的提高显著相关。当将PA项目GPA作为结果进行检验时,只有本科GPA与之显著相关(0.15±0.05,P = 0.004)。本科院校排名在任何模型中都不是显著的预测因素。

结论

在这项小型回顾性队列研究中,本科GPA和入学前临床经验时长是学生成绩的显著预测因素。本科院校排名在所有模型中均极不显著。这些发现为关于PA项目成功录取预测因素的新兴文献增添了内容。

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