Literature DB >> 16832708

Modeling the problem-based learning preferences of McMaster University undergraduate medical students using a discrete choice conjoint experiment.

Charles E Cunningham1, Ken Deal, Alan Neville, Heather Rimas, Lynne Lohfeld.   

Abstract

OBJECTIVES: To use methods from the field of marketing research to involve students in the redesign of McMaster University's small group, problem-based undergraduate medical education program.
METHODS: We used themes from a focus group conducted in an electronic decision support lab to compose 14 four-level educational attributes. Undergraduate medical students completed a discrete choice experiment composed of 15 web-administered, partial-profile, conjoint-choice tasks.
RESULTS: Latent class analysis revealed two segments with different preferences. Segment 1, (86% of students), preferred a problem-based approach with more small group tutorial sessions led by expert tutors who facilitated the tutorial process without teaching didactically. Segment 2, (14% of students), preferred more large group lectures, explicit learning objectives, expert tutors who taught didactically, and streaming options based on learning preferences. Although Segment 1 preferred smaller tutorial groups, simulations predicted these students would trade increases in tutorial group size for a conceptually integrated program that included tutorial problems based on core curriculum concepts, greater integration of the content of clinical skills training sessions and the tutorial curriculum, and a link between clerkship patient selection and the program's curriculum. A majority of both segments would accept a more conceptually integrated program if the savings associated with increases in tutorial group size was reinvested in web-enhanced tutorial processes and computer-simulated health care problems.
CONCLUSIONS: Most students preferred a small group, web-supported, problem-based learning approach led by content experts who facilitated group process. Students favored a program in which tutorial group problems, clinical skills training sessions and the patients selected for clerkship activities were more closely linked to core curriculum concepts.

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Year:  2006        PMID: 16832708     DOI: 10.1007/s10459-006-0003-6

Source DB:  PubMed          Journal:  Adv Health Sci Educ Theory Pract        ISSN: 1382-4996            Impact factor:   3.853


  8 in total

1.  Using conjoint analysis to model the preferences of different patient segments for attributes of patient-centered care.

Authors:  Charles E Cunningham; Ken Deal; Heather Rimas; Heather Campbell; Ann Russell; Jennifer Henderson; Anne Matheson; Blake Melnick
Journal:  Patient       Date:  2008-12-01       Impact factor: 3.883

2.  Using Latent Class Analysis to Model Preference Heterogeneity in Health: A Systematic Review.

Authors:  Mo Zhou; Winter Maxwell Thayer; John F P Bridges
Journal:  Pharmacoeconomics       Date:  2018-02       Impact factor: 4.981

3.  Current Practices for Accounting for Preference Heterogeneity in Health-Related Discrete Choice Experiments: A Systematic Review.

Authors:  Suzana Karim; Benjamin M Craig; Caroline Vass; Catharina G M Groothuis-Oudshoorn
Journal:  Pharmacoeconomics       Date:  2022-08-12       Impact factor: 4.558

4.  Segmenting patients and physicians using preferences from discrete choice experiments.

Authors:  Ken Deal
Journal:  Patient       Date:  2014       Impact factor: 3.883

5.  Modeling the information preferences of parents of children with mental health problems: a discrete choice conjoint experiment.

Authors:  Charles E Cunningham; Ken Deal; Heather Rimas; Don H Buchanan; Michelle Gold; Katherine Sdao-Jarvie; Michael Boyle
Journal:  J Abnorm Child Psychol       Date:  2008-05-15

6.  A comparison of classroom and online asynchronous problem-based learning for students undertaking statistics training as part of a Public Health Masters degree.

Authors:  N de Jong; D M L Verstegen; F E S Tan; S J O'Connor
Journal:  Adv Health Sci Educ Theory Pract       Date:  2012-04-03       Impact factor: 3.853

7.  Adaptive choice-based conjoint analysis: a new patient-centered approach to the assessment of health service preferences.

Authors:  Charles E Cunningham; Ken Deal; Yvonne Chen
Journal:  Patient       Date:  2010-12-01       Impact factor: 3.883

8.  Eliciting preferences of professors and medical group students for evaluation methods of theoretical courses: An application of discrete choice experiment analysis.

Authors:  Ali Kazemi Karyan; Satar Rezaei; Shokooh Etesami; Leyla Pezhman; Behzad Karami Matin; Sajad Delavari
Journal:  J Educ Health Promot       Date:  2021-02-27
  8 in total

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