We begin by summarizing the more basic baseline target moderation (BTM) design, and its extension in the BTMM model. We explain how prevention scientists can employ this design using existing data evaluating preventive interventions. We then discuss several potential patterns of moderation, including compensatory effects (those who need the intervention most benefit the most), “rich-get-richer” effects (those who need the intervention least benefit most), crossover effects (some participants benefit, while other participants may be harmed), and fully iatrogenic effects (where intervention effects are increasingly negative as levels of baseline protective factors vary). We explain the implications of these patterns of moderation for prevention strategies, and under which conditions and findings from the BTM and BTMM designs warrant revision of existing preventive interventions. We end with a brief introduction of the other presentations in this symposium and explain how their methods compare.
To summarize, this introductory talk is specifically designed to allow the audience to fully understand the BTM and BTMM design, setting the stage for a thorough discussion of the findings that will be presented in the rest of the symposium.