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Curr Pharm Teach Learn ; 11(11): 1117-1122, 2019 Nov.
Artigo em Inglês | MEDLINE | ID: mdl-31783957

RESUMO

INTRODUCTION: Students consider numerous variables before applying to a doctor of pharmacy program. Some key non-modifiable variables may include program length, institution type, graduating class size, and pharmacy school grading system. The purpose of this study was to determine if there exists a difference in North American Pharmacists Licensure Examination (NAPLEX) performance based upon these variables. METHODS: This was a retrospective cohort study using observational data. NAPLEX pass rates from 2015 to 2017 were obtained from the National Association of Boards of Pharmacy (NABP) website. Data for pharmacy programs were extracted from the program, Pharmacy College Application Service, American Association of Colleges of Pharmacy, and NABP websites. RESULTS: Based on each pharmacy program's performance on NAPLEX, variables with significantly higher pass rates were public institutions and those with graduating class sizes of 100 or more students. CONCLUSIONS: The results of this study suggest that graduating class size of 100 or more students and public institutions were significant predictors of success on the NAPLEX. Lower pass rates in 2016 may be due to the examination changes implemented by NABP that year. It is possible that programs and students were not being adequately prepared for the changes made to the NAPLEX format. Although not statistically significant, there was a rise in pass rates between the years 2016 and 2017. Therefore, future studies such as this one should be performed to compare NAPLEX pass rates from 2017 forward.


Assuntos
Desempenho Acadêmico/estatística & dados numéricos , Avaliação Educacional/métodos , Licenciamento em Farmácia/estatística & dados numéricos , Faculdades de Farmácia/normas , Educação em Farmácia/normas , Educação em Farmácia/tendências , Humanos , Farmácia/organização & administração , Estudos Retrospectivos , Faculdades de Farmácia/tendências , Estudantes de Farmácia/estatística & dados numéricos , Estados Unidos/epidemiologia
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