Using Text Analytics of AJPE Article Titles to Reveal Trends In Pharmacy Education Over the Past Two Decades.
Objective. To identify trends in pharmacy education during last two decades using text mining. Methods. Articles published in the American Journal of Pharmaceutical Education (AJPE) in the past two decades were compiled in a database. Custom text analytics software was written using Visual Basic programming language in the Visual Basic for Applications (VBA) editor of Excel 2007. Frequency of words appearing in article titles was calculated using the custom VBA software. Data were analyzed to identify the emerging trends in pharmacy education. Results. Three educational trends emerged: active learning, interprofessional, and cultural competency. Conclusion. The text analytics program successfully identified trends in article topics and may be a useful compass to predict the future course of pharmacy education.
Lake Erie College of Osteopathic Medicine, School of Pharmacy, Bradenton, Florida.
Farnoush
F
Pedrami
Lake Erie College of Osteopathic Medicine, School of Pharmacy, Bradenton, Florida.
Pamela
P
Asenso
Lake Erie College of Osteopathic Medicine, School of Pharmacy, Bradenton, Florida.
Sachin
S
Devi
D054521:Cultural Competency; D057225:Data Mining / Q000379:methods / Q000639:trends*; D004512:Education, Pharmacy / Q000639:trends*; D006801:Humans; D007400:Interprofessional Relations; D010506:Periodicals as Topic / Q000639:trends*; D018794:Problem-Based Learning / Q000639:trends*
AJPE; pharmacy education; text analytics
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