Literature DB >> 2350961

The effects of data entry error: an analysis of partial verification.

J P Mullooly1.   

Abstract

Modern data entry technology has greatly reduced entry errors by building quality control mechanisms such as cross-field and range edits directly into data entry programs. In many application areas the increased accuracy of modern data entry techniques has made 100% verification unnecessary to assure high standards of data quality. Verification of randomly selected forms combined with 100% verification of critical fields provides a cost efficient alternative to 100% verification of all fields. This paper analyzes the effects of data entry error on study findings and provides a basis for designing a partial verification scheme for achieving quality control goals in a cost efficient manner.

Mesh:

Year:  1990        PMID: 2350961     DOI: 10.1016/0010-4809(90)90020-d

Source DB:  PubMed          Journal:  Comput Biomed Res        ISSN: 0010-4809


  7 in total

1.  Assessing data quality in manual entry of ventilator settings.

Authors:  David K Vawdrey; Reed M Gardner; R Scott Evans; James F Orme; Terry P Clemmer; Loren Greenway; Frank A Drews
Journal:  J Am Med Inform Assoc       Date:  2007-02-28       Impact factor: 4.497

2.  Accounting for data errors discovered from an audit in multiple linear regression.

Authors:  Bryan E Shepherd; Chang Yu
Journal:  Biometrics       Date:  2011-01-31       Impact factor: 2.571

3.  Data management in multi-center clinical trials and the role of a nation-wide computer network. A 5 year evaluation.

Authors:  M G Gerritsen; O E Sartorius; F M vd Veen; G T Meester
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1993

4.  Measuring the Quality of Data Collection in a Large Observational Cohort of HIV and AIDS.

Authors:  Mariska Hillebregt; Elly de Lange-de Klerk; Dirk Knol; Frank de Wolf; Colette Smit
Journal:  Open AIDS J       Date:  2010-05-05

5.  What can we learn from a decade of database audits? The Duke Clinical Research Institute experience, 1997--2006.

Authors:  Reza Rostami; Meredith Nahm; Carl F Pieper
Journal:  Clin Trials       Date:  2009-04       Impact factor: 2.486

6.  Efficient semiparametric inference for two-phase studies with outcome and covariate measurement errors.

Authors:  Ran Tao; Sarah C Lotspeich; Gustavo Amorim; Pamela A Shaw; Bryan E Shepherd
Journal:  Stat Med       Date:  2020-11-03       Impact factor: 2.373

7.  Double-blind control of the data manager doesn't have any impact on data entry reliability and should be considered as an avoidable cost.

Authors:  Davide Mauri; Vasiliki Karampoiki; Jacopo Mauri; Konstantinos Kamposioras; Georgios Alexiou; Georgios Ferentinos; Lamprini Tsali; Ioanna Karathanasi; Christina Peponi
Journal:  BMC Med Res Methodol       Date:  2008-10-20       Impact factor: 4.615

  7 in total

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