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dc.contributor.authorThwin, Soe Soeen_US
dc.contributor.authorClough-Gorr, Kerri M.en_US
dc.contributor.authorMcCarty, Maribet C.en_US
dc.contributor.authorLash, Timothy L.en_US
dc.contributor.authorAlford, Sharon H.en_US
dc.contributor.authorBuist, Diana S. M.en_US
dc.contributor.authorEnger, Shelley M.en_US
dc.contributor.authorField, Terry S.en_US
dc.contributor.authorFrost, Floyden_US
dc.contributor.authorWei, Feifeien_US
dc.contributor.authorSilliman, Rebecca A.en_US
dc.date.accessioned2011-12-29T21:02:23Z
dc.date.available2011-12-29T21:02:23Z
dc.date.copyright2007
dc.date.issued2007-6-18
dc.identifier.citationThwin, Soe Soe, Kerri M Clough-Gorr, Maribet C McCarty, Timothy L Lash, Sharon H Alford, Diana SM Buist, Shelley M Enger, Terry S Field, Floyd Frost, Feifei Wei, Rebecca A Silliman. "Automated inter-rater reliability assessment and electronic data collection in a multi-center breast cancer study" BMC Medical Research Methodology 7:23. (2007)
dc.identifier.issn1471-2288
dc.identifier.urihttp://hdl.handle.net/2144/2519
dc.description.abstractBACKGROUND: The choice between paper data collection methods and electronic data collection (EDC) methods has become a key question for clinical researchers. There remains a need to examine potential benefits, efficiencies, and innovations associated with an EDC system in a multi-center medical record review study. METHODS: A computer-based automated menu-driven system with 658 data fields was developed for a cohort study of women aged 65 years or older, diagnosed with invasive histologically confirmed primary breast cancer (N = 1859), at 6 Cancer Research Network sites. Medical record review with direct data entry into the EDC system was implemented. An inter-rater and intra-rater reliability (IRR) system was developed using a modified version of the EDC. RESULTS: Automation of EDC accelerated the flow of study information and resulted in an efficient data collection process. Data collection time was reduced by approximately four months compared to the project schedule and funded time available for manuscript preparation increased by 12 months. In addition, an innovative modified version of the EDC permitted an automated evaluation of inter-rater and intra-rater reliability across six data collection sites. CONCLUSION: Automated EDC is a powerful tool for research efficiency and innovation, especially when multiple data collection sites are involved.en_US
dc.language.isoenen_US
dc.publisherBioMed Centralen_US
dc.rightsCopyright 2007 Thwin et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution 2.0 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.en_US
dc.rights.urihttp://creativecommons.org/licenses/by/2.0
dc.titleAutomated Inter-Rater Reliability Assessment and Electronic Data Collection in a Multi-Center Breast Cancer Studyen_US
dc.typearticleen_US
dc.identifier.doi10.1186/1471-2288-7-23
dc.identifier.pubmedid17577410
dc.identifier.pmcid1919388


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Copyright 2007 Thwin et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution 2.0 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.
Except where otherwise noted, this item's license is described as Copyright 2007 Thwin et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution 2.0 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.