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DADOS-Prospective: an open source application for Web-based prospective data collection

BACKGROUND: Randomized, prospective trials involving multi-institutional collaboration have become a central part of clinical and translational research. However, data management and coordination of multi-center studies is a complex process that involves developing systems for data collection and qu...

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Autores principales: Nguyen, Lam, Shah, Anand, Harker, Matthew, Martins, Henrique, McCready, Mariana, Menezes, Andreia, Jacobs, Danny O, Pietrobon, Ricardo
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2006
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1679801/
https://www.ncbi.nlm.nih.gov/pubmed/17147787
http://dx.doi.org/10.1186/1751-0473-1-7
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author Nguyen, Lam
Shah, Anand
Harker, Matthew
Martins, Henrique
McCready, Mariana
Menezes, Andreia
Jacobs, Danny O
Pietrobon, Ricardo
author_facet Nguyen, Lam
Shah, Anand
Harker, Matthew
Martins, Henrique
McCready, Mariana
Menezes, Andreia
Jacobs, Danny O
Pietrobon, Ricardo
author_sort Nguyen, Lam
collection PubMed
description BACKGROUND: Randomized, prospective trials involving multi-institutional collaboration have become a central part of clinical and translational research. However, data management and coordination of multi-center studies is a complex process that involves developing systems for data collection and quality control, tracking data queries and resolutions, as well as developing communication procedures. We describe DADOS-Prospective, an open-source Web-based application for collecting and managing prospective data on human subjects for clinical and translational trials. DADOS-Prospective not only permits users to create new clinical research forms (CRF) and supports electronic signatures, but also offers the advantage of containing, in a single environment, raw research data in downloadable spreadsheet format, source documentation and regulatory files stored in PDF format, and audit trails. RESULTS: Feedback from formal and field usability tests was used to guide the design and development of DADOS-Prospective. To date, DADOS-Prospective has been implemented in five prospective clinical studies at our institution. Four of these studies are still in the CRF creation phase and one study has been entirely launched. CONCLUSION: DADOS-Prospective has significant advantages over existing Web-based data collecting programs. At our institution, it has been demonstrated to be an efficient tool for prospective clinical studies.
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spelling pubmed-16798012006-12-02 DADOS-Prospective: an open source application for Web-based prospective data collection Nguyen, Lam Shah, Anand Harker, Matthew Martins, Henrique McCready, Mariana Menezes, Andreia Jacobs, Danny O Pietrobon, Ricardo Source Code Biol Med Methodology BACKGROUND: Randomized, prospective trials involving multi-institutional collaboration have become a central part of clinical and translational research. However, data management and coordination of multi-center studies is a complex process that involves developing systems for data collection and quality control, tracking data queries and resolutions, as well as developing communication procedures. We describe DADOS-Prospective, an open-source Web-based application for collecting and managing prospective data on human subjects for clinical and translational trials. DADOS-Prospective not only permits users to create new clinical research forms (CRF) and supports electronic signatures, but also offers the advantage of containing, in a single environment, raw research data in downloadable spreadsheet format, source documentation and regulatory files stored in PDF format, and audit trails. RESULTS: Feedback from formal and field usability tests was used to guide the design and development of DADOS-Prospective. To date, DADOS-Prospective has been implemented in five prospective clinical studies at our institution. Four of these studies are still in the CRF creation phase and one study has been entirely launched. CONCLUSION: DADOS-Prospective has significant advantages over existing Web-based data collecting programs. At our institution, it has been demonstrated to be an efficient tool for prospective clinical studies. BioMed Central 2006-11-13 /pmc/articles/PMC1679801/ /pubmed/17147787 http://dx.doi.org/10.1186/1751-0473-1-7 Text en Copyright © 2006 Nguyen et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Methodology
Nguyen, Lam
Shah, Anand
Harker, Matthew
Martins, Henrique
McCready, Mariana
Menezes, Andreia
Jacobs, Danny O
Pietrobon, Ricardo
DADOS-Prospective: an open source application for Web-based prospective data collection
title DADOS-Prospective: an open source application for Web-based prospective data collection
title_full DADOS-Prospective: an open source application for Web-based prospective data collection
title_fullStr DADOS-Prospective: an open source application for Web-based prospective data collection
title_full_unstemmed DADOS-Prospective: an open source application for Web-based prospective data collection
title_short DADOS-Prospective: an open source application for Web-based prospective data collection
title_sort dados-prospective: an open source application for web-based prospective data collection
topic Methodology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1679801/
https://www.ncbi.nlm.nih.gov/pubmed/17147787
http://dx.doi.org/10.1186/1751-0473-1-7
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