There has been an increasing and requisite focus on the needs of individuals affected by chronic or life-limiting disease, which has in turn resulted in a focus on the development of possible interventions and how they are administered. The success of participation and retention of these patients in clinical research, advancement of the drug development process, and adherence post-commercialization require the involvement of another critical expert — the caregiver.
The current approach to clinical trial recruitment is prolonged, costly, and inefficient and often causes major delays and challenges for research across multiple disease states. The vast majority (85 to 90 percent) of studies in the U.S. experience significant delays in recruitment and enrollment. Nearly one-third of trials under-enroll, and only 7 percent meet their target enrollment number on deadline.
Clinical research associate (CRA) turnover has long been a complex and challenging issue. We can recruit more CRAs, increase publicity in colleges, and introduce assessment standards. I could quote various statistics regarding turnover, but I won’t.
While risk management as a concept has always played a role in the clinical trial space, there is increased pressure to identify and manage trial-related risks more systematically. This article discusses six important considerations when making the decision to utilize RBM as part of your operational growth strategies.
Pharmaceutical companies have three targeted users: physicians, pharmacists, and patients. Various digital platforms are used to create a good customer experience for educating these end users. The core focus is on patients driving patient care, education, and adherence.
For the first time ever, GCP collaborations between the FDA and Medicines and Healthcare products Regulatory Agency (MHRA) were the focus of a workshop for the drug development industry. In what is projected to be the initial installment in a series, the FDA hosted the MHRA and invited interested individuals to join the workshop “Data Integrity in Global Clinical Trials — Are We There Yet?”
If we take for granted that there will always be new and changing processes, systems, and digital platforms and the organizational complexity within Big Pharma will not abate, how do we ensure we optimize the entire clinical trial process and make the best use of our technology and process investments?
The true effect of an intervention is often not seen until real-world usage takes place, but with such a delay between R&D and healthcare delivery, how can the industry close the gap? And what is needed to deliver more effective interventions that patients really want?