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学生表现指标与医师助理国家认证考试®:一项为期 3 年的多机构研究。

Student Performance Metrics and the Physician Assistant National Certifying Exam ® : A 3-Year Multi-Institutional Study.

机构信息

DeShana Collett, PhD, PA-C, is an associate professor in the Department of Physician Assistant Studies at the University of Kentucky, Lexington, Kentucky.

Karen A. Wright, PhD, PA-C, is the program director for the Department of Physician Assistant Studies, School of Medicine and Health Sciences, at George Washington University, Washington, DC.

出版信息

J Physician Assist Educ. 2022 Dec 1;33(4):296-301. doi: 10.1097/JPA.0000000000000456. Epub 2022 Nov 1.

Abstract

INTRODUCTION

Given the 2019 Physician Assistant National Certifying Exam (PANCE) blueprint update from the National Commission on the Certification of Physician Assistants, it is imperative that programs conduct analyses of student performance metrics and PANCE scores. The purpose of this multi-institutional study was to examine the relationship between PANCE scores and student performance metrics/attributes from PA program graduates from 2017-2019.

METHODS

A multiple linear regression was calculated to predict PANCE score indicators based on student attributes and performance metrics from 3 PA programs. Metrics included: PAEA End of Rotation exams, PACKRAT scores, academic performance in clinical medicine didactic courses, cumulative grade point average, and select demographic and admissions attributes (age, sex, and first generation to attend college). Descriptive statistics were employed to provide contextual information and an overview of the included data points.

RESULTS

A significant regression equation was found with r-square of 0.709. Clinical Medicine II didactic course grades, PACKRAT I & II scores, and PAEA End of Rotation Exam scores in Family Medicine and Internal Medicine were all significant predictors of PANCE score.

DISCUSSION

In consideration of the Accreditation Review Commission on Education for the Physician Assistant (ARC-PA) Standards and expectations for ongoing self-assessment, including PANCE analysis, this research was timely and necessary. To date, there is very limited research regarding student performance metrics given the PANCE blueprint update in 2019, and these data are critical to aid programs in ongoing development and best preparation for learners.

摘要

简介

鉴于 2019 年美国医师助理国家认证考试委员会(National Commission on the Certification of Physician Assistants)对医师助理国家认证考试(PANCE)考试大纲的更新,各项目必须对学生成绩指标和 PANCE 分数进行分析。本多机构研究的目的是检验 2017-2019 年 PA 项目毕业生的 PANCE 分数与学生成绩指标/属性之间的关系。

方法

对来自 3 个 PA 项目的学生属性和成绩指标进行了多元线性回归分析,以预测 PANCE 分数指标。指标包括:PAEA 轮岗结束考试、PACKRAT 分数、临床医学理论课程的学业成绩、累积平均绩点和选择的人口统计学和入学属性(年龄、性别和第一代上大学)。描述性统计数据用于提供背景信息和包含数据点的概述。

结果

发现一个具有 0.709 的 r 平方的显著回归方程。临床医学 II 理论课程成绩、PACKRAT I 和 II 分数以及家庭医学和内科的 PAEA 轮岗结束考试成绩都是 PANCE 分数的显著预测指标。

讨论

考虑到医师助理教育认证评审委员会(ARC-PA)的标准和对持续自我评估的期望,包括 PANCE 分析,这项研究是及时和必要的。迄今为止,由于 2019 年 PANCE 考试大纲更新,关于学生成绩指标的研究非常有限,这些数据对于帮助项目进行持续发展和为学习者做好最佳准备至关重要。

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