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dc.contributor.authorMunabi, Ian G
dc.contributor.authorBuwembo, William
dc.contributor.authorBajunirwe, Francis
dc.contributor.authorKitara, David Lagoro
dc.contributor.authorJoseph, Ruberwa
dc.contributor.authorPeter, Kawungezi
dc.contributor.authorObua, Celestino
dc.contributor.authorQuinn, John
dc.contributor.authorMwaka, Erisa S
dc.date.accessioned2021-11-27T06:52:51Z
dc.date.available2021-11-27T06:52:51Z
dc.date.issued2015
dc.identifier.citationMunabi, I. G., Buwembo, W., Bajunirwe, F., Kitara, D. L., Joseph, R., Peter, K., ... & Mwaka, E. S. (2015). Factors influencing health professions students’ use of computers for data analysis at three Ugandan public medical schools: a cross-sectional survey. BMC research notes, 8(1), 1-6.en_US
dc.identifier.urihttp://ir.must.ac.ug/xmlui/handle/123456789/1031
dc.description.abstractBackground: Effective utilization of computers and their applications in medical education and research is of paramount importance to students. The objective of this study was to determine the association between owning a computer and use of computers for research data analysis and the other factors influencing health professions students’ computer use for data analysis. Methods: We conducted a cross sectional study among undergraduate health professions students at three public universities in Uganda using a self-administered questionnaire. The questionnaire was composed of questions on participant demographics, students’ participation in research, computer ownership, and use of computers for data analysis. Descriptive and inferential statistics (uni-variable and multi- level logistic regression analysis) were used to analyse data. The level of significance was set at 0.05. Results: Six hundred (600) of 668 questionnaires were completed and returned (response rate 89.8%). A majority of respondents were male (68.8%) and 75.3% reported owning computers. Overall, 63.7% of respondents reported that they had ever done computer based data analysis. The following factors were significant predictors of having ever done computer based data analysis: ownership of a computer (adj. OR 1.80, p = 0.02), recently completed course in statistics (Adj. OR 1.48, p =0.04), and participation in research (Adj. OR 2.64, p <0.01). Conclusions: Owning a computer, participation in research and undertaking courses in research methods influence undergraduate students’ use of computers for research data analysis. Students are increasingly participating in research, and thus need to have competencies for the successful conduct of research. Medical training institutions should encourage both curricular and extra-curricular efforts to enhance research capacity in line with the modern theories of adult learning.en_US
dc.language.isoen_USen_US
dc.publisherBMC Research Notesen_US
dc.subjectComputeren_US
dc.subjectData analysisen_US
dc.subjectResearchen_US
dc.subjectUndergraduateen_US
dc.subjectHealth profession studentsen_US
dc.titleFactors influencing health professions students’ use of computers for data analysis at three Ugandan public medical schools: a cross-sectional surveyen_US
dc.typeArticleen_US


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