Literature DB >> 3608510

A pilot study on the quality of data management in a cancer clinical trial.

E van der Putten, J W van der Velden, A Siers, E A Hamersma.   

Abstract

Twelve institutional data managers were asked to independently code the data from a patient chart of one patient in an ovarian cancer trial. They abstracted data from the medical record and filled out three types of trial forms (on-study, chemotherapy, and summary forms). The analysis of the processed data revealed that the median rate of errors was 13% for the 12 data managers. The error rate differed among the types of trial forms. The factors causing these errors were mistakes in interpretation, documentation, and coding. The level of experience of the data managers proved to be an important factor. It became clear that the documentation in the medical record was inadequate. We conclude that data managers as well as physicians involved in cancer clinical trials need specific training and that the quality of data management in cancer clinical trials is an important issue for further investigation.

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Year:  1987        PMID: 3608510     DOI: 10.1016/0197-2456(87)90034-1

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


  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.  Analysis of data errors in clinical research databases.

Authors:  Saveli I Goldberg; Andrzej Niemierko; Alexander Turchin
Journal:  AMIA Annu Symp Proc       Date:  2008-11-06

Review 3.  Adverse drug event reporting systems: a systematic review.

Authors:  Chantelle Bailey; David Peddie; Maeve E Wickham; Katherin Badke; Serena S Small; Mary M Doyle-Waters; Ellen Balka; Corinne M Hohl
Journal:  Br J Clin Pharmacol       Date:  2016-05-09       Impact factor: 4.335

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

Review 5.  The role of medical registries, potential applications and limitations.

Authors:  Bogdan Pop; Bogdan Fetica; Mihaiela Luminita Blaga; Adrian Pavel Trifa; Patriciu Achimas-Cadariu; Catalin Ioan Vlad; Andrei Achimas-Cadariu
Journal:  Med Pharm Rep       Date:  2019-01-15

6.  Overcoming challenges to data quality in the ASPREE clinical trial.

Authors:  Jessica E Lockery; Taya A Collyer; Christopher M Reid; Michael E Ernst; David Gilbertson; Nino Hay; Brenda Kirpach; John J McNeil; Mark R Nelson; Suzanne G Orchard; Kunnapoj Pruksawongsin; Raj C Shah; Rory Wolfe; Robyn L Woods
Journal:  Trials       Date:  2019-12-09       Impact factor: 2.279

7.  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.  Implementation and results of an integrated data quality assurance protocol in a randomized controlled trial in Uttar Pradesh, India.

Authors:  Jonathon D Gass; Anamika Misra; Mahendra Nath Singh Yadav; Fatima Sana; Chetna Singh; Anup Mankar; Brandon J Neal; Jennifer Fisher-Bowman; Jenny Maisonneuve; Megan Marx Delaney; Krishan Kumar; Vinay Pratap Singh; Narender Sharma; Atul Gawande; Katherine Semrau; Lisa R Hirschhorn
Journal:  Trials       Date:  2017-09-07       Impact factor: 2.279

  8 in total

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