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Innovation Accelerates COVID-19 Research

By Graham Brown MPH

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Blog Home    Innovation Accelerates COVID-19 Research
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In the race to develop effective treatments for patients infected with COVID-19, researchers are employing an innovative study design to evaluate the clinical efficacy, as assessed by time to recovery, of multiple different investigational therapeutics. The study, sponsored in the U.S. by the National Institutes of Allergy and Infectious Disease, is a multicenter trial being conducted at approximately 100 sites globally, with participation from 41 U.S. based and 19 international health systems, university medical centers and national research centers.1

Gold Standard Approach
The two-arm Randomized Controlled Trial (RCT) is the gold standard approach for evaluating new drugs wherein study participants are assigned to one of the two trial arms, the first group receiving the experimental treatment while the second group is given a placebo or the standard existing treatment. In response to the COVID-19 pandemic, and attempting to evaluate the large number of new and existing treatments, researchers recognized the limitations of the two-arm RCT model; specifically that by assigning half of the participants to a placebo or less effective treatment, many could be denied their best chance at recovery, and that setting up a trial to evaluate each treatment independently might take years of research and require the enrolling thousands of study participants.  

Adaptive Clinical Trial Approach
In an adaptive trial, study participants are randomly and blindly assigned to either a control arm or an experimental treatment arm; more than one experimental treatment may be included at the outset of the trial. Additional arms and protocols may then be added or removed from a trial depending on early evaluation of the drugs’ effects. For example, if one treatment regimen seems to be more successful, researchers can increase the number of participants receiving that treatment. Similarly, ineffective treatments can be removed early, and new treatments can be initiated quickly, enabling patients to receive the most promising treatments faster.2 This may be especially important in the context of an infectious pandemic, where symptoms and disease progression are not well understood. With over two million reported COVID-19 cases in the U.S. and growing, time is of the essence. 

Possible Benefits of Adaptive Clinical Trial Model for COVID-19
The design of an adaptive clinical trial offers faster detection of benefits or harms associated with experimental therapies, drugs that are showing benefits can be moved to the study’s control arm and drugs that aren’t helping patients can be removed from the trial. Additionally, as researchers are able to use the same control group to measure the effectiveness of experimental treatments, fewer trial participants need to be enrolled. The adaptive design means promising therapies which demonstrate efficacy early on could become the standard of care for patients later in the trial. 

The Adaptive COVID-19 Treatment Trial will initially study the drug Remdesivir (experimental) against placebo (control) and will look to introduce new therapeutic treatments over time. The study design ensures interim monitoring to introduce new arms and allow early stopping for futility, efficacy, or safety. To control for background standards of supportive care, which may evolve or improve over time as more is learned about successful management of COVID-19, comparisons of safety and efficacy will be based on data from concurrently randomized subjects. 

A preliminary report of findings from one of the study sites concluded “Remdesivir was superior to placebo in shortening the time to recovery in adults hospitalized with Covid-19 and evidence of lower respiratory tract infection.”3

With millions of lives potentially impacted by this timely and important treatment research, it is encouraging to see the unique and flexible elements of this model put to good use.

1https://clinicaltrials.gov/ct2/show/NCT04280705
2https://nfcr.org/blog/understanding-adaptive-clinical-trials/?gclid=EAIaIQobChMI09L5zdSY6gIVD4zICh0a-Q1REAAYASAAEgKyRfD_BwE
3https://www.nejm.org/doi/full/10.1056/NEJMoa2007764


Graham Brown MPH

Senior Vice President, NextGen® Advisors

Graham Brown is a principal and senior vice president with NextGen® Advisors focused on transforming care with provider organizations. His practice centers on accountable and value-based care strategy, population health management programs, and technology solutions for providers enabling new models of care delivery across the United States…

Graham Brown is a principal and senior vice president with NextGen® Advisors focused on transforming care with provider organizations. His practice centers on accountable and value-based care strategy, population health management programs, and technology solutions for providers enabling new models of care delivery across the United States.

Mr. Brown is a former senior vice president and national practice leader for population health and clinical integration with GE Healthcare Partners (previously The Camden Group) where he led multidisciplinary client teams in strategy creation, program development, implementation, operations, and performance optimization engagements. He is an experienced leader in organizational development, managed care contracting, and change management initiatives.

Mr. Brown has over 25 years’ experience supporting provider groups, health and hospital systems, integrated delivery networks, and managed care payers to assess, design, contract, and implement systems and structures for population health management. He has worked nationally across the United States and Canada.

Graham completed his undergraduate studies at the University of Victoria, the Emily Carr University of Art and Design, and the Instituto Europeo di Design in Florence, Italy. He is certified in conflict resolution and negotiation by the Justice Institute of B.C. and received his Master of Public Health from the University of Rochester Medical Center.

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