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Open-source electronic data capture system offered increased accuracy and cost-effectiveness compared with paper methods in Africa
OBJECTIVES: Existing electronic data capture options are often financially unfeasible in resource-poor settings or difficult to support technically in the field. To help facilitate large-scale multicenter studies in sub-Saharan Africa, the African Partnership for Chronic Disease Research (APCDR) has...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4271740/ https://www.ncbi.nlm.nih.gov/pubmed/25135245 http://dx.doi.org/10.1016/j.jclinepi.2014.06.012 |
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author | Dillon, David G. Pirie, Fraser Rice, Stephen Pomilla, Cristina Sandhu, Manjinder S. Motala, Ayesha A. Young, Elizabeth H. |
author_facet | Dillon, David G. Pirie, Fraser Rice, Stephen Pomilla, Cristina Sandhu, Manjinder S. Motala, Ayesha A. Young, Elizabeth H. |
author_sort | Dillon, David G. |
collection | PubMed |
description | OBJECTIVES: Existing electronic data capture options are often financially unfeasible in resource-poor settings or difficult to support technically in the field. To help facilitate large-scale multicenter studies in sub-Saharan Africa, the African Partnership for Chronic Disease Research (APCDR) has developed an open-source electronic questionnaire (EQ). STUDY DESIGN AND SETTING: To assess its relative validity, we compared the EQ against traditional pen-and-paper methods using 200 randomized interviews conducted in an ongoing type 2 diabetes case–control study in South Africa. RESULTS: During its 3-month validation, the EQ had a lower frequency of errors (EQ, 0.17 errors per 100 questions; paper, 0.73 errors per 100 questions; P-value ≤0.001), and a lower monetary cost per correctly entered question, compared with the pen-and-paper method. We found no marked difference in the average duration of the interview between methods (EQ, 5.4 minutes; paper, 5.6 minutes). CONCLUSION: This validation study suggests that the EQ may offer increased accuracy, similar interview duration, and increased cost-effectiveness compared with paper-based data collection methods. The APCDR EQ software is freely available (https://github.com/apcdr/questionnaire). |
format | Online Article Text |
id | pubmed-4271740 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-42717402014-12-22 Open-source electronic data capture system offered increased accuracy and cost-effectiveness compared with paper methods in Africa Dillon, David G. Pirie, Fraser Rice, Stephen Pomilla, Cristina Sandhu, Manjinder S. Motala, Ayesha A. Young, Elizabeth H. J Clin Epidemiol Original Article OBJECTIVES: Existing electronic data capture options are often financially unfeasible in resource-poor settings or difficult to support technically in the field. To help facilitate large-scale multicenter studies in sub-Saharan Africa, the African Partnership for Chronic Disease Research (APCDR) has developed an open-source electronic questionnaire (EQ). STUDY DESIGN AND SETTING: To assess its relative validity, we compared the EQ against traditional pen-and-paper methods using 200 randomized interviews conducted in an ongoing type 2 diabetes case–control study in South Africa. RESULTS: During its 3-month validation, the EQ had a lower frequency of errors (EQ, 0.17 errors per 100 questions; paper, 0.73 errors per 100 questions; P-value ≤0.001), and a lower monetary cost per correctly entered question, compared with the pen-and-paper method. We found no marked difference in the average duration of the interview between methods (EQ, 5.4 minutes; paper, 5.6 minutes). CONCLUSION: This validation study suggests that the EQ may offer increased accuracy, similar interview duration, and increased cost-effectiveness compared with paper-based data collection methods. The APCDR EQ software is freely available (https://github.com/apcdr/questionnaire). Elsevier 2014-12 /pmc/articles/PMC4271740/ /pubmed/25135245 http://dx.doi.org/10.1016/j.jclinepi.2014.06.012 Text en © 2014 The Authors https://creativecommons.org/licenses/by/3.0/This work is licensed under a Creative Commons Attribution 3.0 Unported License (https://creativecommons.org/licenses/by/3.0/) . |
spellingShingle | Original Article Dillon, David G. Pirie, Fraser Rice, Stephen Pomilla, Cristina Sandhu, Manjinder S. Motala, Ayesha A. Young, Elizabeth H. Open-source electronic data capture system offered increased accuracy and cost-effectiveness compared with paper methods in Africa |
title | Open-source electronic data capture system offered increased accuracy and cost-effectiveness compared with paper methods in Africa |
title_full | Open-source electronic data capture system offered increased accuracy and cost-effectiveness compared with paper methods in Africa |
title_fullStr | Open-source electronic data capture system offered increased accuracy and cost-effectiveness compared with paper methods in Africa |
title_full_unstemmed | Open-source electronic data capture system offered increased accuracy and cost-effectiveness compared with paper methods in Africa |
title_short | Open-source electronic data capture system offered increased accuracy and cost-effectiveness compared with paper methods in Africa |
title_sort | open-source electronic data capture system offered increased accuracy and cost-effectiveness compared with paper methods in africa |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4271740/ https://www.ncbi.nlm.nih.gov/pubmed/25135245 http://dx.doi.org/10.1016/j.jclinepi.2014.06.012 |
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