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Factors influencing health professions students’ use of computers for data analysis at three Ugandan public medical schools: a cross-sectional survey

BACKGROUND: 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...

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Autores principales: Munabi, Ian G, Buwembo, William, Bajunirwe, Francis, Kitara, David Lagoro, Joseph, Ruberwa, Peter, Kawungezi, Obua, Celestino, Quinn, John, Mwaka, Erisa S
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4346114/
https://www.ncbi.nlm.nih.gov/pubmed/25890154
http://dx.doi.org/10.1186/s13104-015-1013-3
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author Munabi, Ian G
Buwembo, William
Bajunirwe, Francis
Kitara, David Lagoro
Joseph, Ruberwa
Peter, Kawungezi
Obua, Celestino
Quinn, John
Mwaka, Erisa S
author_facet Munabi, Ian G
Buwembo, William
Bajunirwe, Francis
Kitara, David Lagoro
Joseph, Ruberwa
Peter, Kawungezi
Obua, Celestino
Quinn, John
Mwaka, Erisa S
author_sort Munabi, Ian G
collection PubMed
description BACKGROUND: 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.
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spelling pubmed-43461142015-03-03 Factors influencing health professions students’ use of computers for data analysis at three Ugandan public medical schools: a cross-sectional survey Munabi, Ian G Buwembo, William Bajunirwe, Francis Kitara, David Lagoro Joseph, Ruberwa Peter, Kawungezi Obua, Celestino Quinn, John Mwaka, Erisa S BMC Res Notes Research Article BACKGROUND: 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. BioMed Central 2015-02-25 /pmc/articles/PMC4346114/ /pubmed/25890154 http://dx.doi.org/10.1186/s13104-015-1013-3 Text en © Munabi et al.; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Munabi, Ian G
Buwembo, William
Bajunirwe, Francis
Kitara, David Lagoro
Joseph, Ruberwa
Peter, Kawungezi
Obua, Celestino
Quinn, John
Mwaka, Erisa S
Factors influencing health professions students’ use of computers for data analysis at three Ugandan public medical schools: a cross-sectional survey
title Factors influencing health professions students’ use of computers for data analysis at three Ugandan public medical schools: a cross-sectional survey
title_full Factors influencing health professions students’ use of computers for data analysis at three Ugandan public medical schools: a cross-sectional survey
title_fullStr Factors influencing health professions students’ use of computers for data analysis at three Ugandan public medical schools: a cross-sectional survey
title_full_unstemmed Factors influencing health professions students’ use of computers for data analysis at three Ugandan public medical schools: a cross-sectional survey
title_short Factors influencing health professions students’ use of computers for data analysis at three Ugandan public medical schools: a cross-sectional survey
title_sort factors influencing health professions students’ use of computers for data analysis at three ugandan public medical schools: a cross-sectional survey
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4346114/
https://www.ncbi.nlm.nih.gov/pubmed/25890154
http://dx.doi.org/10.1186/s13104-015-1013-3
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