In this session, I will tell the story of the Your COVID-19 Risk tool
and how it was developed. The Your COVID-19 Risk project is a volunteer
project: no funding, but over a hundred volunteer experts working
together to create a tool to help people decrease their COVID-19 related
risk. The tool is underpinned by a risk model and presents tool users
with a series of questions about determinants to enable us to improve
the tool, as well as a behavior change intervention aiming to promote
distance keeping, hand washing, and staying at home.
This project would not have been possible without a backbone that
solidly structured the project to leverage theory and evidence. This
backbone is provided by a number of cutting edge technologies, and in
this session, I will highlight two of them: Acyclic Behavior Change
Diagrams (ABCDs) and Decentralized Construct Taxonomies. The former
enables a comprehensive and machine-readable description of the
structural and causal assumptions underlying a behavior change
intervention. This is a useful tool when developing an intervention, but
also when improving one or reporting on it. ABCDs also eliminate much of
the need for coding BCTs when doing systematic reviews or meta-analyses.
Decentralized Construct Taxonomie specifications facilitate
decentralized unequivocal construct definitions that are accompanied by
corresponding instructions for, in this case, developing measurement
instruments. These somewhat abstract technologies and their uses will be
illustrated at the hand of the Your COVID-19 Risk project.