Literature DB >> 6700450

Computer analysis of the student log diary: an aid in the teaching of general practice and family medicine.

J G Munro.   

Abstract

At the University of Queensland all medical students in their fifth year rotate through a 2-week attachment to a general practitioner tutor as part of the course in community practice. As a means of learning from this experience each student records information in a log diary on seventy-five consecutive patients seen, and codes it using a code-book developed for the purpose. The International Classification of Health Problems in Primary Care (ICHPPC) classification is used for coding diagnoses and problems. These data are then computerized and a print-out of frequencies. including mean values, is provided for each student in a group of twenty-eight to thirty. In a teaching session of 2-3 hours held with the group. Results are presented and each variable discussed in turn. Students can easily identify differences between practices, and how data from each practice compare with mean values for the practices visited by the group. Possible reasons for these differences are then discussed. Comparisons are made with similar data accumulated by the Department over 2 1/2 years (amounting to some 42,000 patient encounters), and with other surveys of general practice morbidity. The use of the computer print-out provides an extremely valuable yet comparatively simple method of demonstrating the demography, clinical content and process of general practice.

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Year:  1984        PMID: 6700450     DOI: 10.1111/j.1365-2923.1984.tb00976.x

Source DB:  PubMed          Journal:  Med Educ        ISSN: 0308-0110            Impact factor:   6.251


  4 in total

1.  Undergraduate medical students' experience in general practice.

Authors:  W Cullen; D Langton; Y Kelly; G Bury
Journal:  Ir J Med Sci       Date:  2004 Jan-Mar       Impact factor: 1.568

2.  Casemix in an internal medicine clerkship: educational value of the clinical problems seen.

Authors:  P J McLeod; L Snell
Journal:  J Gen Intern Med       Date:  1991 Sep-Oct       Impact factor: 5.128

3.  Computer-based patient encounter tracking. Development of a system for family medicine residents.

Authors:  J V Mulloy; M Leuschen; B H Rowe
Journal:  Can Fam Physician       Date:  1995-10       Impact factor: 3.275

4.  Evaluation of a computer tracking program for resident-patient encounters.

Authors:  B H Rowe; D T Ryan; J V Mulloy
Journal:  Can Fam Physician       Date:  1995-12       Impact factor: 3.275

  4 in total

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