Literature DB >> 2345830

An examination of the efficiency of some quality assurance methods commonly employed in clinical trials.

J D Neaton1, A G Duchene, K H Svendsen, D Wentworth.   

Abstract

The cost and efficiency of training clinical centre staff and of duplicate data entry in clinical trials is reviewed. Training is an essential component of quality assurance programmes and it is usually carried out at regular intervals in long-term clinical trials. Initial training of staff and regular retraining is important to assure standardization and it can lead to reduced trial costs. Interim training for new staff and for remedial purposes is less efficient than regularly scheduled training sessions. Regional centres for training and the use of computer aided instruction are two ways such interim training can be made more efficient and standardized. Duplicate data entry or verification can result in a substantial reduction in data entry errors depending on the nature of the data being keyed. Selective verification should especially be considered for important fields for which consistency checks cannot be performed, that are alphabetic or that are several characters in length. Quality assurance procedures should be implemented to monitor data entry accuracy in clinical trials.

Mesh:

Year:  1990        PMID: 2345830     DOI: 10.1002/sim.4780090118

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


  9 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.  Interviewer variability - quality aspects in a case-control study.

Authors:  Kerstin J Blomgren; Anders Sundström; Gunnar Steineck; Bengt-Erik Wiholm
Journal:  Eur J Epidemiol       Date:  2006       Impact factor: 8.082

3.  Reducing errors from the electronic transcription of data collected on paper forms: a research data case study.

Authors:  Monika M Wahi; David V Parks; Robert C Skeate; Steven B Goldin
Journal:  J Am Med Inform Assoc       Date:  2008-02-28       Impact factor: 4.497

Review 4.  Accuracy of data in computer-based patient records.

Authors:  W R Hogan; M M Wagner
Journal:  J Am Med Inform Assoc       Date:  1997 Sep-Oct       Impact factor: 4.497

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

Review 6.  Oncology data management in the UK--BODMA's view. British Oncology Data Managers Association.

Authors:  D Riley; L Ward; T Young
Journal:  Br J Cancer       Date:  1994-09       Impact factor: 7.640

7.  Quality control and data-handling in multicentre studies: the case of the Multicentre Project for Tuberculosis Research.

Authors:  T Caloto
Journal:  BMC Med Res Methodol       Date:  2001-12-21       Impact factor: 4.615

8.  Online information seeking by patients with bipolar disorder: results from an international multisite survey.

Authors:  Jörn Conell; Rita Bauer; Tasha Glenn; Martin Alda; Raffaella Ardau; Bernhard T Baune; Michael Berk; Yuly Bersudsky; Amy Bilderbeck; Alberto Bocchetta; Letizia Bossini; Angela Marianne Paredes Castro; Eric Yat Wo Cheung; Caterina Chillotti; Sabine Choppin; Maria Del Zompo; Rodrigo Dias; Seetal Dodd; Anne Duffy; Bruno Etain; Andrea Fagiolini; Julie Garnham; John Geddes; Jonas Gildebro; Ana Gonzalez-Pinto; Guy M Goodwin; Paul Grof; Hirohiko Harima; Stefanie Hassel; Chantal Henry; Diego Hidalgo-Mazzei; Vaisnvy Kapur; Girish Kunigiri; Beny Lafer; Chun Lam; Erik Roj Larsen; Ute Lewitzka; Rasmus Licht; Anne Hvenegaard Lund; Blazej Misiak; Patryk Piotrowski; Scott Monteith; Rodrigo Munoz; Takako Nakanotani; René E Nielsen; Claire O'Donovan; Yasushi Okamura; Yamima Osher; Andreas Reif; Philipp Ritter; Janusz K Rybakowski; Kemal Sagduyu; Brett Sawchuk; Elon Schwartz; Ângela Miranda Scippa; Claire Slaney; Ahmad Hatim Sulaiman; Kirsi Suominen; Aleksandra Suwalska; Peter Tam; Yoshitaka Tatebayashi; Leonardo Tondo; Eduard Vieta; Maj Vinberg; Biju Viswanath; Julia Volkert; Mark Zetin; Iñaki Zorrilla; Peter C Whybrow; Michael Bauer
Journal:  Int J Bipolar Disord       Date:  2016-08-24

9.  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

  9 in total

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