“Re-envisioning, Retooling, and Rebuilding Prevention Science Methods to Address Structural and Systemic Racism and Promote Health Equity” publication, appearing in the Journal of Prevention Science Special Issue of Prevention Science: Advancing Health Equity among Black Communities, highlighting presentations on our series focused on the role of Prevention Science to address racism and discrimination guided by a commitment to social justice and health equity. We join the national conversations on the roots and current impacts of racism in the USA as an incredible window of opportunity for prevention scientists to revisit how common theories, measurement tools, methodologies, and interventions can be radically re-envisioned, retooled, and rebuilt to dismantle racism and promote equitable health for minoritized communities. Our goal in this paper is to advance the field of Prevention Science by summarizing key issues raised during the series’ presentations and proposing concrete research priorities and steps that hold promise for promoting health equity by addressing systemic racism.

Accounting for Context in Randomized Trials after Assignment" paper accepted at Prevention Science regarding how to account for clustering or grouping into an intervention or implementation after randomization occurs. A PSMG presentation was given earlier (Mixed Up: Modeling for Context) and is now available in our PSMG archive. This work was supported by both NIDA and the NIH Office of Disease Prevention and has particular salience for a large number of prevention (as well as treatment trials) that often ignore this clustering issue and consequently lead to inaccurate statistical inferences. In addition to the main paper, there is a large online supplement with a link in the paper that presents a typology of such trials where context matters after assignment, and statistical coding in the major statistical packages.

PSMG Leadership Team

DIRECTOR

C. Hendricks Brown

ADMINISTRATOR

Nanette Hannah

STEERING COMMITTEE