Literature DB >> 35074852

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

Benjamin D Aronson1, Emily Eddy2, Brittany Long1, Olivia K Welch1, Jennifer Grundey1, Jessica L Hinson1.   

Abstract

Objective. To determine whether a pretest assessing algebra-based problem-solving skills could aid in identifying those who may underperform in calculations course assessments and whether this provides additional value beyond preadmission and demographic characteristics.Methods. Student pharmacists were screened for algebraic problem-solving skills using an 18-item pretest taken the semester prior to a course containing pharmaceutical calculations content. These scores were compared to students' later performance on pharmaceutical calculations assessments. Linear regression models were computed to determine the relationship between pretest scores and pharmaceutical calculations performance after controlling for preadmission factors and demographic characteristics.Results. The median pretest score was 15 out of 18 possible points, with scores ranging from 5 to 18 points. After controlling for age, gender, American College Testing (ACT) scores, and high school grade point average (GPA), scores on the algebra-based, word-problem pretest were associated with performance on pharmaceutical calculation assessments.Conclusion. This research demonstrates the ability of a pretest aimed at identifying deficiencies in algebraic problem-solving skills to identify those at risk of failing to obtain mastery of pharmaceutical calculations, even after controlling for demographics, prior grades, and prior standardized test scores. Identifying these students is a first step towards implementing tailored interventions to improve students' algebra-based word problem skills to prevent deficiencies in pharmaceutical calculations mastery before class even begins.
© 2022 American Association of Colleges of Pharmacy.

Entities:  

Keywords:  academic performance; calculations; pharmaceutical calculations

Mesh:

Year:  2021        PMID: 35074852      PMCID: PMC8787170          DOI: 10.5688/ajpe8473

Source DB:  PubMed          Journal:  Am J Pharm Educ        ISSN: 0002-9459            Impact factor:   2.047


  16 in total

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Journal:  Am J Pharm Educ       Date:  2018-03       Impact factor: 2.047

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7.  Predicting success in pharmaceutical calculations.

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9.  Student motivation to learn: is self-belief the key to transition and first year performance in an undergraduate health professions program?

Authors:  Susan Edgar; Sandra E Carr; Joanne Connaughton; Antonio Celenza
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10.  The relationships between empathy, stress and social support among medical students.

Authors:  Kyung Hye Park; Dong-hee Kim; Seok Kyoung Kim; Young Hoon Yi; Jae Hoon Jeong; Jiun Chae; Jiyeon Hwang; HyeRin Roh
Journal:  Int J Med Educ       Date:  2015-09-05
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