Evaluating Clinical Implementation of Risk Prediction Based Interventions Using Difference-In-Differences.

ABSTRACT:

Objective

To compare alternative Difference-in-Differences (DID) methods for evaluating the effect of risk-stratified interventions, or interventions targeting at-risk groups, on binary outcomes.

Study setting and design

In simulations, we compared operating characteristics of recycled prediction estimators for common average treatment effect on the treated (ATT) estimands across three DID models: the traditional two groups and two periods model, a risk score adjusted model, and a model adjusting for risk score and its interactions with risk group and period. We compared DID ATT estimates to randomized evaluation estimates of a risk-stratified intervention implemented at Kaiser Permanente Washington (KPWA), delivering additional text-message reminders to reduce missed clinic

SUBMITTER: Cruz M 

PROVIDER: S-EPMC12713687 | biostudies-literature | 2026 Feb

REPOSITORIES: biostudies-literature