Literature DB >> 11215834

The relationship between preadmission indicators and basic math skills at a new school of pharmacy.

J A Grillo1, D A Latif, S K Stolte.   

Abstract

OBJECTIVE: To examine the relationship between preadmission indicators of 49 PharmD students entering their first professional year at a new school of pharmacy and their scores on a Basic Math Skills Test (BMST). A secondary objective was to determine what factors, if any, contributed to the successful completion of the BMST.
METHODS: This cross-sectional investigation used a convenience sample of PharmD students entering the first professional year at a three-year-old, private, southeastern school of pharmacy. All first-year students who took the mandatory BMST, as part of a math mentor plot program, were eligible for enrollment. The BMST covered nine different competencies and was validated at the grade-8 level. Math test scores, the student's Pharmacy College Admissions Test (PCAT), and other demographic and scholastic information was obtained from the student's application file in a retrospective manner. All identifiers were removed before the data were submitted to the investigators.
RESULTS: Statistical analysis suggested that two preadmission indicators strongly influenced BMST performance: percentile scores on the quantitative section of the PCAT (POAT-OP) and whether the student attended a private or public university prior to admission to the pharmacy school. In addition, four factors significantiy contributed to successful completion of the BMST: math/science grade point average (MS-GPA), PCAT percentile scores, PCAT-QP percentile scores, and the number of BMST Items left blank.
CONCLUSIONS: A relationship exists between preadmission indicators of PharmD students entering their first professional year and their BMST score. In addition, certain identifiable factors impact BMST scores of first-year PharmD students. Admissions committees may find this useful in identifying students who may need remedial math assistance prior to beginning math-intensive courses such as pharmaceutical calculations and pharmacokinetics.

Mesh:

Year:  2001        PMID: 11215834     DOI: 10.1345/aph.10205

Source DB:  PubMed          Journal:  Ann Pharmacother        ISSN: 1060-0280            Impact factor:   3.154


  4 in total

1.  A predictive validity study of the Pharmacy College Admission Test.

Authors:  Donald G Meagher; Anli Lin; Christina P Stellato
Journal:  Am J Pharm Educ       Date:  2006-06-15       Impact factor: 2.047

2.  The Relationship Between Prior Experiences in Mathematics and Pharmacy School Success.

Authors:  Kelly M Conn; Christine Birnie; David McCaffrey; Jack Brown
Journal:  Am J Pharm Educ       Date:  2018-05       Impact factor: 2.047

3.  Admissions criteria as predictors of students' academic success in master's degree programs at the National Institute of Public Health of Mexico.

Authors:  Héctor Lamadrid-Figueroa; Lorena Castillo-Castillo; Jimena Fritz-Hernández; Laura Magaña-Valladares
Journal:  Public Health Rep       Date:  2012 Nov-Dec       Impact factor: 2.792

4.  Identifying Low Pharmaceutical Calculation Performers Using an Algebra-Based Pretest.

Authors:  Benjamin D Aronson; Emily Eddy; Brittany Long; Olivia K Welch; Jennifer Grundey; Jessica L Hinson
Journal:  Am J Pharm Educ       Date:  2021-05-19       Impact factor: 2.047

  4 in total

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