Lessons Learned From a Direct Data Entry Phase 2 Clinical Trial Under a US Investigational New Drug Application

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Lessons Learned From a Direct Data Entry Phase 2 Clinical Trial Under a US Investigational New Drug Application

Drug Information Journal 46(4) 464-471 ª The Author(s) 2012 Reprints and permission: sagepub.com/journalsPermissions.nav DOI: 10.1177/0092861512449530 http://dij.sagepub.com

Jules T. Mitchel, MBA, PhD1, Judith M. Schloss Markowitz, MS1, Hua (Helen) Yin, MS1, Dean Gittleman, MS1, Timothy Cho, BS1, Yong Joong Kim, MS1, Joonhyuk Choi, BS1, Mitchell D. Efros, MD, FACS2, Kerri Weingard, ANP, MS, BSN, RN2, Vadim Tantsyura, MS, MA3, and Dario Carrara, PhD4

Abstract In order to assess the impact of direct data entry (DDE) on the clinical trial process, a single-site, phase 2 clinical trial, under a US investigational new drug application (IND), was performed where the clinical site entered each subject’s data into an electronic data capture (EDC) system at the time of the office visit and the clinical research team implemented a risk-based monitoring (RBM) plan. For DDE, the trial used EDC for data collection and the electronic clinical trial record (eCTR) as the subject’s electronic source (eSource) record. A clinical data monitoring plan (CDMoP) defined the scope of source document verification, the frequency and scope of online data review, and the criteria for when to perform onsite monitoring. As a result of this novel approach to clinical research operations, (1) there were no protocol violations as screening errors were picked up prior to treatment; (2) because there were minimal transcription errors from paper source records to the EDC system, there was a major reduction in onsite monitoring compared to comparable studies that use paper source records; (3) EDC edit checks were able to be modified early in the course of the clinical trial; (4) compliance issues were identified in real time and corrected; (5) there was rapid transparency and detection of safety issues; and (6) the clinical site indicated that there were major cost savings overall and estimated that just in terms of data entry, it was able to save 70 hours of labor by not using paper as the original source records. It is postulated that once the pharmaceutical industry adopts DDE and RBM, there will be major increases in productivity for sponsors, clinical sites, and CROs, as well as reduced time to database lock and the statistical analyses. In addition to the productivity increases, these processes and tools will improve data integrity and quality and potentially reduce overall monitoring resources and efforts by an estimated 50% to 60%. Keywords direct data entry, EDC, data management, risk-based monitoring

Introduction In order to encourage the use of direct data entry (DDE), in 2006, the Clinical Data Interchange Standards Consortium (CDISC) Electronic Source Data Interchange Working Group addressed the leveraging of the CDISC standards when electronic source data are used within clinical trials.1 In 2007, FDA acknowledged that original data can be ‘‘recorded by direct entry into a computerized system.’’2 In 2010, both FDA and EMA d