Literature DB >> 22985318

Accuracy of data transfer: double data entry and estimating levels of error.

Ian Atkinson1.   

Abstract

AIMS AND
OBJECTIVES: Most nursing research using quantitative empirical data involves entering information collected on data collection forms into a computer. This paper brings to attention issues related to the introduction of errors during this transfer of data and makes some recommendations as to how this might be dealt with.
BACKGROUND: Beyond concerns with the reliability and validity of data collection instruments, the issue of data accuracy and the introduction of errors in research data sets receive little mention in the nursing research literature. Given that studies have reported up to a 26.9 per cent error rate in data transfer (Goldberg et al. Proceedings American Medical Informatics Association, Annual Symposium November 2008), it is important that this potential problem is addressed in the context of nursing research.
DESIGN: Discursive paper.
CONCLUSIONS: An approach to checking the accuracy of data entered onto a computer via the keyboard is suggested, and a method for estimating the level of confidence that could be claimed regarding the number of errors introduced is outlined. RELEVANCE TO CLINICAL PRACTICE: If nursing is to be investigated by quantitative methods, it would seem that the accuracy of study findings is paramount. This paper identifies one area of research where errors are prone to arise and suggests a method for containing these.
© 2012 Blackwell Publishing Ltd.

Mesh:

Year:  2012        PMID: 22985318     DOI: 10.1111/j.1365-2702.2012.04353.x

Source DB:  PubMed          Journal:  J Clin Nurs        ISSN: 0962-1067            Impact factor:   3.036


  6 in total

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Authors:  A M V Kumar; P Chinnakali; H Shewade; V Gupta; P Nagpal; A D Harries
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2.  Using electronic dental record data for research: a data-mapping study.

Authors:  K Liu; A Acharya; S Alai; T K Schleyer
Journal:  J Dent Res       Date:  2013-05-20       Impact factor: 6.116

3.  Sources of error in the retracted scientific literature.

Authors:  Arturo Casadevall; R Grant Steen; Ferric C Fang
Journal:  FASEB J       Date:  2014-06-13       Impact factor: 5.191

4.  Using a scripted data entry process to transfer legacy immunization data while transitioning between electronic medical record systems.

Authors:  J Michel; A Hsiao; A Fenick
Journal:  Appl Clin Inform       Date:  2014-03-26       Impact factor: 2.342

5.  Guided Imagery for Total Knee Replacement: A Randomized, Placebo-Controlled Pilot Study.

Authors:  Ann F Jacobson; Wendy A Umberger; Patrick A Palmieri; Thomas S Alexander; Rodney P Myerscough; Claire B Draucker; Susann Steudte-Schmiedgen; Clemens Kirschbaum
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6.  Factors associated with antibiotic prescribing for acute bronchitis at a university health center.

Authors:  Valerie J Morley; Emily P C Firgens; Rachel R Vanderbilt; Yanmengqian Zhou; Michelle Zook; Andrew F Read; Erina L MacGeorge
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  6 in total

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