What is RE-AIM?
RE-AIM is a framework for evaluating behavior change interventions across five dimensions: Reach (who participates?), Effectiveness (does it work?), Adoption (do settings implement it?), Implementation (is it delivered as intended?), and Maintenance (do effects last?).
How it works
RE-AIM was developed by Russell Glasgow to address the gap between efficacy research (does it work under ideal conditions?) and real-world impact (does it work at scale?). An intervention can be highly effective but have low reach (only affluent participants enroll) or low adoption (clinics refuse to implement it). RE-AIM assesses all five dimensions to estimate the population-level impact of an intervention, not just its effect size in a controlled trial.
Applied example
A diabetes prevention program that is highly effective (70% of participants improve) but has low reach (only 5% of eligible people enroll) and low maintenance (effects disappear after one year) may have less population impact than a moderately effective program with high reach and long-term sustainability.
Why it matters
RE-AIM bridges the gap between research and practice by evaluating whether interventions can actually improve population health, not just whether they work for the small group who participates in trials.
