Roseman University of Health Sciences College of Pharmacy, Las Vegas, Nevada.
School of the Community Health Sciences, University of Nevada, Las Vegas, Nevada.
Am J Pharm Educ. 2017 Dec;81(10):6109. doi: 10.5688/ajpe6109.
To analyze the modifiable predictors of institution-wide residency match rates. This was a retrospective analysis of colleges and schools of pharmacy data and school-wide PGY-1 pharmacy residency match rates for 2013 through 2015. Independent variables included NAPLEX passing rates, history of ACPE probation, NIH funding, academic health center affiliation, dual-degree availability, program length, admit-to-applicant ratio, class size, tuition, student-driven research, clinically focused academic tracks, residency affiliation, U.S. News & World Report rankings, and minority enrollment. In a repeated measures model, predictors of match results were NAPLEX pass rate, class size, academic health center affiliation, admit-to-applicant ratio, U.S. News & World Report rankings, and minority enrollment. Indicators of student achievement, college/school reputation, affiliations, and class demographics were significant predictors of institution-wide residency match rates. Further research is needed to understand how changes in these factors may influence overall match rates.
分析可改变的预测因素,以提高机构整体住院医师匹配率。这是对药学院和学校数据以及 2013 年至 2015 年全校 PGY-1 药房住院医师匹配率的回顾性分析。自变量包括 NAPLEX 通过率、ACPE 试用期历史、NIH 资助、学术医疗中心附属机构、双学位可用性、项目长度、录取申请人比例、班级规模、学费、学生主导的研究、以临床为重点的学术轨道、住院医师附属机构、《美国新闻与世界报道》排名和少数民族入学率。在重复测量模型中,匹配结果的预测因素是 NAPLEX 通过率、班级规模、学术医疗中心附属机构、录取申请人比例、《美国新闻与世界报道》排名和少数民族入学率。学生成绩、学院/学校声誉、附属机构和班级人口统计数据是机构整体住院医师匹配率的重要预测因素。需要进一步研究以了解这些因素的变化如何可能影响整体匹配率。