Literature DB >> 7789140

Data quality assurance, monitoring, and reporting.

J J Gassman, W W Owen, T E Kuntz, J P Martin, W P Amoroso.   

Abstract

In conclusion, the quality assurance and monitoring program is an integral and continuing part of study operations. A system must be devised and implemented by the coordinating center investigators, with the endorsement of the study leadership and support of the field site and resource center personnel. Proactive mechanisms for promoting high-quality data acquisition and reporting must be implemented. Data quality monitoring must address the entire process by which the data are gathered, transmitted, stored, and analyzed. Data quality should be monitored continually, with summary reports prepared and distributed to the study leadership. Appropriate training and certification enhance data quality, and site visits allow data collection and storage processes to be observed directly. The quality assurance and monitoring system must be documented. It should be flexible enough so that new means of quality assurance or monitoring can be added when necessary during the course of the study. At the completion of the study, quality monitoring results should be summarized in a final report regarding the level of quality achieved by the study investigators and personnel. Finally, for a quality assurance and monitoring program to be successful, the coordinating center investigators and personnel must provide prompt feedback and suggestions for corrective action whenever a data quality problem is discovered. This need can be met only when the coordinating center staff understand data quality goals and are up to date with all phases of data management and reporting. Delays in initiating any stage of data management and quality monitoring may result in uncorrectable data problems. Thus, knowledgeable and efficient coordinating center personnel are essential to achieving good data quality studywide.

Mesh:

Year:  1995        PMID: 7789140     DOI: 10.1016/0197-2456(94)00095-k

Source DB:  PubMed          Journal:  Control Clin Trials        ISSN: 0197-2456


  25 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.  Perfusion Downunder Collaboration Database--data quality assurance: towards a high quality clinical database.

Authors:  Sigrid C Tuble
Journal:  J Extra Corpor Technol       Date:  2011-03

4.  SPIRIT 2013 explanation and elaboration: guidance for protocols of clinical trials.

Authors:  An-Wen Chan; Jennifer M Tetzlaff; Peter C Gøtzsche; Douglas G Altman; Howard Mann; Jesse A Berlin; Kay Dickersin; Asbjørn Hróbjartsson; Kenneth F Schulz; Wendy R Parulekar; Karmela Krleza-Jeric; Andreas Laupacis; David Moher
Journal:  BMJ       Date:  2013-01-08

5.  Coordination and management of multisite complementary and alternative medicine (CAM) therapies: experience from a multisite reflexology intervention trial.

Authors:  Mohammad H Rahbar; Gwen Wyatt; Alla Sikorskii; David Victorson; Manouchehr Ardjomand-Hessabi
Journal:  Contemp Clin Trials       Date:  2011-06-02       Impact factor: 2.226

6.  Using biometrics for participant identification in a research study: a case report.

Authors:  Patricia M Corby; Titus Schleyer; Heiko Spallek; Thomas C Hart; Robert J Weyant; Andrea L Corby; Walter A Bretz
Journal:  J Am Med Inform Assoc       Date:  2005-12-15       Impact factor: 4.497

7.  Turning Access into a web-enabled secure information system for clinical trials.

Authors:  Wei-Bang Chen; Mayhue Soong; Seng-Jaw Soong; Helmuth F Orthner
Journal:  Clin Trials       Date:  2009-07-22       Impact factor: 2.486

8.  CT quality assurance in the lung screening study component of the National Lung Screening Trial: implications for multicenter imaging trials.

Authors:  David S Gierada; Kavita Garg; Hrudaya Nath; Diane C Strollo; Richard M Fagerstrom; Melissa B Ford
Journal:  AJR Am J Roentgenol       Date:  2009-08       Impact factor: 3.959

9.  Successful coordination and execution of nontherapeutic studies in a cooperative group setting: lessons learned from Children's Oncology Group studies.

Authors:  Andrea Carter; Wendy Landier; Amy Schad; Allison Moser; Alexandra Schaible; Cara Hanby; Seira Kurian; F Lennie Wong; Doojduen Villaluna; Smita Bhatia
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2008-07       Impact factor: 4.254

10.  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

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