Technical challenges in designing post-marketing eCRFs to address clinical safety and pharmacovigilance needs.
To identify key challenges and propose technical considerations in designing electronic case report form (eCRF) for post-marketing studies, the author undertakes a comprehensive literature review of peer reviewed and grey literature to assess the key aspects, processes, standards, recommendations, and best practices in designing eCRFs based on industry experience in designing and supporting electronic data capture (EDC) studies. Literature search using strings on MEDLINE and PUBMED returned few papers directly related to CRF design. Health informatics and general practice journals were searched and results reviewed. Many conference, government commission, health professional and special interests group websites provide relevant information from practical experience - summarization of this information is presented. Further, we presented a list of concrete technical considerations in dealing with EDC technology/system limitations based on literature assessment and industry implementation experience. It is recognized that cross-functional teams be involved in eCRF design process and decision making. To summarize the keys in designing eCRFs to address post-market study safety and pharmacovigilance needs, the first is to identify required data elements from the study protocol supporting data analyses and reporting requirements. Secondly, accepted best practices, CDASH & CDISC guidelines, and company internal or therapeutic unit standard should be considered and applied. Coding (MedDRA & WHODD) mapping should be managed and implemented as well when possible. Finally, we need to be on top of the EDC technologies, challenge the technologies, drive EDC improvement via working with vendors, and utilize the technologies to drive clinical effectiveness.
Lu
Zhengwu
Z
Zhengwu.Lu@ieee.org
D003625:Data Collection / Q000379:methods*; D003628:Database Management Systems; D064420:Drug-Related Side Effects and Adverse Reactions; D006801:Humans; D016347:Medical Records Systems, Computerized; D011358:Product Surveillance, Postmarketing / Q000379:methods*; D012984:Software; D057188:Workflow