Literature DB >> 8216661

Comparing different types of performance feedback and computer-based instruction in teaching medical students how to diagnose acute abdominal pain.

S Schwartz1, T Griffin.   

Abstract

PURPOSE: To examine the relative efficacies of three types of performance feedback used with computer-based instruction (CBI) in making diagnoses.
METHOD: In 1990, 75 final-year medical students at The University of Queensland were pretested for domain knowledge and diagnostic skill in the area of acute abdominal pain. The students were also asked to indicate their confidence in each of their diagnoses. Following these pretests, the students were randomly divided into five groups of 15 students each. One group received traditional CBI, using a "question-and-explanation" format, to learn domain knowledge. The other four groups received one of two types of CBI to learn diagnostic accuracy, and these four groups received one of three types of performance feedback (which differed considerably in the amounts of information imparted). Then the students took posttests. One-way analysis of variance, Student's t-test, and the Tukey test were used to compare the performances of the different groups of students.
RESULTS: Although the students in the traditional CBI group significantly improved their performance on multiple-choice questions (by 58%) compared with the other groups of students (6-10% improvement), these students did not improve their diagnostic performance. In contrast, the CBI groups that used simulated-patient cases and structured-performance feedback did improve their diagnostic accuracy (by as much as 16%, compared with a 1% decline for the traditional CBI group). Contrary to expectation, the different types of feedback were equally effective. Except for the students in the traditional CBI group, the students' confidence increased from pretest to posttest regardless of their performances.
CONCLUSION: CBI that uses simulated-patient cases and structured-performance feedback seems to be efficient and effective compared with traditional CBI methods. However, care should be taken to ensure that students do not become overconfident of their abilities.

Entities:  

Mesh:

Year:  1993        PMID: 8216661

Source DB:  PubMed          Journal:  Acad Med        ISSN: 1040-2446            Impact factor:   6.893


  5 in total

1.  Computer assisted learning in undergraduate medical education.

Authors:  T Greenhalgh
Journal:  BMJ       Date:  2001-01-06

2.  Oral versus written feedback in medical clinic.

Authors:  D M Elnicki; R D Layne; P E Ogden; D K Morris
Journal:  J Gen Intern Med       Date:  1998-03       Impact factor: 5.128

3.  Physician characteristics associated with proficiency in feedback skills.

Authors:  Elizabeth P Menachery; Amy M Knight; Ken Kolodner; Scott M Wright
Journal:  J Gen Intern Med       Date:  2006-05       Impact factor: 5.128

4.  Significant increase in factual knowledge with web-assisted problem-based learning as part of an undergraduate cardio-respiratory curriculum.

Authors:  T Raupach; C Münscher; T Pukrop; S Anders; S Harendza
Journal:  Adv Health Sci Educ Theory Pract       Date:  2009-09-23       Impact factor: 3.853

Review 5.  Computer-Assisted Learning Applications in Health Educational Informatics: A Review.

Authors:  Faiq Shaikh; Faisal Inayat; Omer Awan; Marlise D Santos; Adnan M Choudhry; Abdul Waheed; Dilkash Kajal; Sagun Tuli
Journal:  Cureus       Date:  2017-08-10
  5 in total

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