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      " Summary Page": a novel tool that reduces omitted data in research databases

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          Abstract

          Background

          Data entry errors are common in clinical research databases. Omitted data are of particular concern because they are more common than erroneously inserted data and therefore could potentially affect research findings. However, few affordable strategies for their prevention are available.

          Methods

          We have conducted a prospective observational study of the effect of a novel tool called " Summary Page" on the frequency of correction of omitted data errors in a radiation oncology research database between July 2008 and March 2009. " Summary Page" was implemented as an optionally accessed screen in the database that visually integrates key fields in the record. We assessed the frequency of omitted data on the example of the Date of Relapse field. We considered the data in this field to be omitted for all records that had empty Date of Relapse field and evidence of relapse elsewhere in the record.

          Results

          A total of 1,156 records were updated and 200 new records were entered in the database over the study period. " Summary Page" was accessed for 44% of all updated records and for 69% of newly entered records. Frequency of correction of the omitted date of cancer relapse was six-fold higher in records for which " Summary Page" was accessed (p = 0.0003).

          Conclusions

          " Summary Page" was strongly associated with an increased frequency of correction of omitted data errors. Further, controlled, studies are needed to confirm this finding and elucidate its mechanism of action.

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          Most cited references9

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          A sharper Bonferroni procedure for multiple tests of significance

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            Application of random-effects pattern-mixture models for missing data in longitudinal studies.

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              Defining and improving data quality in medical registries: a literature review, case study, and generic framework.

              Over the past years the number of medical registries has increased sharply. Their value strongly depends on the quality of the data contained in the registry. To optimize data quality, special procedures have to be followed. A literature review and a case study of data quality formed the basis for the development of a framework of procedures for data quality assurance in medical registries. Procedures in the framework have been divided into procedures for the co-ordinating center of the registry (central) and procedures for the centers where the data are collected (local). These central and local procedures are further subdivided into (a) the prevention of insufficient data quality, (b) the detection of imperfect data and their causes, and (c) actions to be taken / corrections. The framework can be used to set up a new registry or to identify procedures in existing registries that need adjustment to improve data quality.
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                Author and article information

                Journal
                BMC Med Res Methodol
                BMC Medical Research Methodology
                BioMed Central
                1471-2288
                2010
                8 October 2010
                : 10
                : 91
                Affiliations
                [1 ]Massachusetts General Hospital, Boston, MA, USA
                [2 ]Brigham and Women's Hospital, Boston, MA, USA
                [3 ]Clinical Informatics Research and Development, Partners HealthCare, Boston, MA, USA
                [4 ]Harvard Medical School, Boston, MA, USA
                Article
                1471-2288-10-91
                10.1186/1471-2288-10-91
                2964731
                20932323
                f5f77a38-1eb5-4e1f-b46c-4b151e2acfa8
                Copyright ©2010 Goldberg et al; licensee BioMed Central Ltd.

                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.

                History
                : 22 January 2010
                : 8 October 2010
                Categories
                Research Article

                Medicine
                Medicine

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