Effective evaluations balance statistical rigor with operational feasibility. We recommend matched cohorts (propensity scoring when appropriate), pre-post trend normalization, and clear definitions of utilization and cost outcomes.
- Define eligible population and guard against regression to the mean
- Use comparable control groups and sensitivity analyses
- Quantify uncertainty ranges alongside point estimates