Literature DB >> 12663312

Adapting the contents of computer-based instruction based on knowledge tests maintains effectiveness of nutrition education.

Martin Kohlmeier1, Walter J McConathy, Karen Cooksey Lindell, Steven H Zeisel.   

Abstract

BACKGROUND: Nutrition education of many medical students continues to be inadequate. Computer-based instruction in nutrition is a resource that introduces a new level of flexibility for instructors and students while maintaining a high level of educational quality. Previous evaluations have demonstrated the efficacy of our programs on nutrient physiology and the role of nutrition in the disease process, but some students complained about the time spent on content that they had covered in other courses.
OBJECTIVE: We wanted to explore the effectiveness of an abbreviated program version that bypassed topics that the students had mastered already.
DESIGN: Multiple-choice questions were used to determine knowledge of 117 second-year medical students in each of the main knowledge areas covered by our Nutrition and Cancer instructional module. The students were then randomly assigned to complete either the full version or a shortened version adapted to their demonstrated knowledge. Four days later the same as well as new questions were used to compare knowledge gain between the 2 groups.
RESULTS: The shorter time spent with the tailored version than with the full version (2.5 h versus <1.5 h) decreased learning efficacy to only a small extent. More tailored-version users than full-version users were interested in further computer-based instruction (59% versus 41%, P < 0.05), suggesting better acceptance.
CONCLUSIONS: Our experience underscores the power of computer-based instruction to bring nutrition education to medical students. The newly developed adaptive features of the nutrition programs may also be helpful for practicing physicians to efficiently bridge knowledge gaps.

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Mesh:

Year:  2003        PMID: 12663312     DOI: 10.1093/ajcn/77.4.1025S

Source DB:  PubMed          Journal:  Am J Clin Nutr        ISSN: 0002-9165            Impact factor:   7.045


  9 in total

1.  The evolution of Nutrition in Medicine, a computer-assisted nutrition curriculum.

Authors:  Karen C Lindell; Kelly M Adams; Martin Kohlmeier; Steven H Zeisel
Journal:  Am J Clin Nutr       Date:  2006-04       Impact factor: 7.045

2.  Adapting web-based instruction to residents' knowledge improves learning efficiency: a randomized controlled trial.

Authors:  David A Cook; Thomas J Beckman; Kris G Thomas; Warren G Thompson
Journal:  J Gen Intern Med       Date:  2008-07       Impact factor: 5.128

3.  TEL Methods Used for the Learning of Clinical Neuroanatomy.

Authors:  Ahmad Elmansouri; Olivia Murray; Samuel Hall; Scott Border
Journal:  Adv Exp Med Biol       Date:  2020       Impact factor: 2.622

4.  Advancing Nutrition Education, Training, and Research for Medical Students, Residents, Fellows, Attending Physicians, and Other Clinicians: Building Competencies and Interdisciplinary Coordination.

Authors:  Linda Van Horn; Carine M Lenders; Charlotte A Pratt; Bettina Beech; Patricia A Carney; William Dietz; Rose DiMaria-Ghalili; Timothy Harlan; Robert Hash; Martin Kohlmeier; Kathryn Kolasa; Nancy F Krebs; Robert F Kushner; Mary Lieh-Lai; Janet Lindsley; Susan Meacham; Holly Nicastro; Caryl Nowson; Carole Palmer; Miguel Paniagua; Edward Philips; Sumantra Ray; Suzanne Rose; Marcel Salive; Marsha Schofield; Kathryn Thompson; Jennifer L Trilk; Gwen Twillman; Jeffrey D White; Giovanna Zappalà; Ashley Vargas; Christopher Lynch
Journal:  Adv Nutr       Date:  2019-11-01       Impact factor: 8.701

5.  Nutrition in medicine: nutrition education for medical students and residents.

Authors:  Kelly M Adams; Martin Kohlmeier; Margo Powell; Steven H Zeisel
Journal:  Nutr Clin Pract       Date:  2010-10       Impact factor: 3.080

6.  Regional variations in medical trainee diet and nutrition counseling competencies: Machine learning-augmented propensity score analysis of a prospective multi-site cohort study.

Authors:  Anish Patnaik; Justin Tran; John W McWhorter; Helen Burks; Alexandra Ngo; Tu Dan Nguyen; Avni Mody; Laura Moore; Deanna M Hoelscher; Amber Dyer; Leah Sarris; Timothy Harlan; C Mark Chassay; Dominique Monlezun
Journal:  Med Sci Educ       Date:  2020-05-20

7.  Novel Longitudinal and Propensity Score Matched Analysis of Hands-On Cooking and Nutrition Education versus Traditional Clinical Education among 627 Medical Students.

Authors:  Dominique J Monlezun; Benjamin Leong; Esther Joo; Andrew G Birkhead; Leah Sarris; Timothy S Harlan
Journal:  Adv Prev Med       Date:  2015-09-08

8.  Machine Learning-Augmented Propensity Score-Adjusted Multilevel Mixed Effects Panel Analysis of Hands-On Cooking and Nutrition Education versus Traditional Curriculum for Medical Students as Preventive Cardiology: Multisite Cohort Study of 3,248 Trainees over 5 Years.

Authors:  Dominique J Monlezun; Lyn Dart; Anne Vanbeber; Peggy Smith-Barbaro; Vanessa Costilla; Charlotte Samuel; Carol A Terregino; Emine Ercikan Abali; Beth Dollinger; Nicole Baumgartner; Nicholas Kramer; Alex Seelochan; Sabira Taher; Mark Deutchman; Meredith Evans; Robert B Ellis; Sonia Oyola; Geeta Maker-Clark; Tomi Dreibelbis; Isadore Budnick; David Tran; Nicole DeValle; Rachel Shepard; Erika Chow; Christine Petrin; Alexander Razavi; Casey McGowan; Austin Grant; Mackenzie Bird; Connor Carry; Glynis McGowan; Colleen McCullough; Casey M Berman; Kerri Dotson; Tianhua Niu; Leah Sarris; Timothy S Harlan; On Behalf Of The Chop Co-Investigators
Journal:  Biomed Res Int       Date:  2018-04-15       Impact factor: 3.411

Review 9.  Meta-analysis and machine learning-augmented mixed effects cohort analysis of improved diets among 5847 medical trainees, providers and patients.

Authors:  Dominique J Monlezun; Christopher Carr; Tianhua Niu; Francesco Nordio; Nicole DeValle; Leah Sarris; Timothy Harlan
Journal:  Public Health Nutr       Date:  2021-06-28       Impact factor: 4.022

  9 in total

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