Presenters will provide an overview of appropriate study designs for COVID intervention evaluations as well as how/whether to adapt these designs (both with respect to data collection and analysis) that were conceived for non-COVID research in response to the COVID-19 pandemic or other disruptions. Designs that will be discussed include: pre/post and interrupted time series, stepped wedge, SMART designs, preference designs, and others that focus on implementation.
Speakers: Margaret Handley, Starley Shade, Jean Digitale, and Kristefer Stojanovski
Hosted by the Interventions and Implementation-Science (I&I) Core, UCSF Center for AIDS Prevention Studies
Co-sponsored by the UCSF CFAR Implementation Science Working Group, UCSF Department of Epidemiology & Biostatistics Implementation Science Program and PRISE Center