| Research Abstract |
International academic exchange in medical science by Japanese academic institution has increased its activities year after year. However, increase in numbers of activities itself one of many parameters to reflect the degree of achievements from international academic exchange in Japan. In this study, we attempted to review past activities of international academic exchange in medical science and at the same time to apply this result to the establishment of methodolgy of evaluation of exchange programs. We reviewed past activities by The University of Tokyo and Kobe University and extracted five main elements necessary for meaningful evaluation.
1. Current situation of health care and medical education of the counterpart country or region
2. To support research activities of the counterpart researchers
3. Research subjects and contents
4. Publication of researbh achievements
5. Continuity and follow up system
These five major elements are considered to be minimumly essential for meaningful e
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valuation based upon current situation of developing countries. These five elements were further classified and ten sub-elements were extracted from each major element respectively : For 1, geographical, political, socio-cultural, water supply, population, disease prevalence, cause of death, medical institute, medical professionals, basic living environment. For 2, language, climate, custom, religion, neighborhood, living =xpenses, transportation. For 3, type of research (experimental vs observational), =leld, survey, clinical vs basic vs social science etc. For 4, scientific meeting, original article, report etc. For 5, contribution to community or counterpart country, funding resource to support continuity and follow up. Based upon the above, we preposed evaluation method according to fifty sub-elements, using a multiple methods of data collection such as through interview, questionnaire, observation, etc. For objective and fair purpose, evaluation by independent third party is essential. At final stage, quantitative analysis of the result using multi evaluate analytic method are recommended. Less
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