Generating Accurate Estimates of Required Sample Size for Multilevel Implementation Studies in Mental Health

PROJECT NARRATIVE Implementation science studies how to improve the adoption and integration of evidence-based health interventions in community settings. One important barrier to progress in this field is related to study design— scientists do not have key pieces of information they need to accurately determine the required sample size for their implementation studies. The proposed project addresses this barrier by analyzing data from already completed implementation studies in behavioral health settings, extracting the necessary pieces of information, and summarizing and publishing these results for the field.