Literature DB >> 8235176

Verifying keyed medical research data.

B A Blumenstein1.   

Abstract

Although diminished use of double keying for the verification of keyed medical research data has occurred, there are no published data that demonstrate the existence of equivalent or better replacement. The simple replacement of double keying with visual comparison is not recommended because visual comparison is too susceptible to the transient energy levels of the individual who makes the comparison. Some system design innovations applicable in specific situations allow elimination of verification by providing nearly equivalent or possibly even superior data quality assurance opportunities. These alternatives include designs where one replaces the transcription to data forms by direct keying from original source documents coupled with extensive quality reviews, and designs with direct data base input of data subjected to intense automated consistency checking and immediate analytic use. In both cases, the absence of keyed data verification places a greater burden for data quality assurance on other subsystems, such as quality review, and ultimately the analytic process. Data entry systems based on new technologies, such as tablet computers, electronic image processing, and voice input, will require similar considerations for assuring data quality.

Mesh:

Year:  1993        PMID: 8235176     DOI: 10.1002/sim.4780121702

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  8 in total

Review 1.  Defining and improving data quality in medical registries: a literature review, case study, and generic framework.

Authors:  Danielle G T Arts; Nicolette F De Keizer; Gert-Jan Scheffer
Journal:  J Am Med Inform Assoc       Date:  2002 Nov-Dec       Impact factor: 4.497

2.  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

3.  Managing attribute--value clinical trials data using the ACT/DB client-server database system.

Authors:  P M Nadkarni; C Brandt; S Frawley; F G Sayward; R Einbinder; D Zelterman; L Schacter; P L Miller
Journal:  J Am Med Inform Assoc       Date:  1998 Mar-Apr       Impact factor: 4.497

4.  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

5.  Data Acquisition and Preprocessing in Studies on Humans: What Is Not Taught in Statistics Classes?

Authors:  Yeyi Zhu; Ladia M Hernandez; Peter Mueller; Yongquan Dong; Michele R Forman
Journal:  Am Stat       Date:  2013       Impact factor: 8.710

6.  The impact of data quality assurance and control solutions on the completeness, accuracy, and consistency of data in a national spinal cord injury registry of Iran (NSCIR-IR).

Authors:  Pegah Derakhshan; Zahra Azadmanjir; Khatereh Naghdi; Roya Habibi Arejan; Mahdi Safdarian; Mohammad Reza Zarei; Seyed Behzad Jazayeri; Mahdi Sharif-Alhoseini; Jalil Arab Kheradmand; Abbas Amirjamshidi; Zahra Ghodsi; Morteza Faghih Jooybari; Mahdi Mohammadzadeh; Zahra Khazaeipour; Shayan Abdollah Zadegan; Aidin Abedi; Gerard Oreilly; Vanessa Noonan; Edward C Benzel; Alexander R Vaccaro; Farideh Sadeghian; Vafa Rahimi-Movaghar
Journal:  Spinal Cord Ser Cases       Date:  2021-06-10

7.  Measuring and controlling medical record abstraction (MRA) error rates in an observational study.

Authors:  Maryam Y Garza; Tremaine Williams; Sahiti Myneni; Susan H Fenton; Songthip Ounpraseuth; Zhuopei Hu; Jeannette Lee; Jessica Snowden; Meredith N Zozus; Anita C Walden; Alan E Simon; Barbara McClaskey; Sarah G Sanders; Sandra S Beauman; Sara R Ford; Lacy Malloch; Amy Wilson; Lori A Devlin; Leslie W Young
Journal:  BMC Med Res Methodol       Date:  2022-08-15       Impact factor: 4.612

8.  Quantifying data quality for clinical trials using electronic data capture.

Authors:  Meredith L Nahm; Carl F Pieper; Maureen M Cunningham
Journal:  PLoS One       Date:  2008-08-25       Impact factor: 3.240

  8 in total

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