Leaders of the NIH Collaboratory’s Biostatistics and Study Design Core Working Group spoke in a recent interview about the impacts of the COVID-19 pandemic on the NIH Collaboratory Trials, including the 2 newest projects, BeatPain Utah and GRACE.

“BeatPain Utah and GRACE are fascinating studies, as all our NIH Collaboratory Trials are, and are giving us lots of food for thought at the Biostatistics Core,” said Dr. Liz Turner, associate professor of biostatistics and bioinformatics at Duke University and a cochair of the Core. View the full video.

The 2 studies “have been pretty well positioned to roll with some of the distancing required or the lack of in-person visits,” said Dr. Patrick Heagerty, professor of biostatistics at the University of Washington and the other cochair of the Core. “The BeatPain project had a remote delivery from the beginning, so I think the impact of COVID was not as dramatic as it’s been for other projects. But GRACE, where acupuncture is part of it, they have to figure out what are the elements of the research protocol they can do remotely but still need to get folks in person to do that acupuncture,” Heagerty said.

“There really have been some considerable challenges for several of the other NIH Collaboratory Trials,” said Turner. “Good examples of these challenges are those faced by 2 stepped-wedge cluster randomized trials, ACP PEACE and PRIM-ER. …They had to really restructure the design and respond very quickly to what was happening in practice out in the field. Interestingly, on the flip side, the disruptions last spring in 2020 did provide opportunities to address other research questions and perhaps generate other interesting evidence,” Turner said.

(Learn more about the ACP PEACE study’s COVID-19 supplement: “Can a Primary Care Telehealth Intervention Change the Paradigm for Advance Care Planning?”)

Heagerty and Turner also described ongoing projects of the Core to support pragmatic research, including guidance on longitudinal analysis in randomized trials, considerations for studies with multiple outcomes, and handing of studies with variable cluster sizes. Learn more about the Biostatistics and Study Design Core.