Endpoint assessment via routinely collected data generates estimates comparable to randomized controlled trial data: analysis of a cluster-randomized trial on fall injury prevention.

ABSTRACT:

Background and objectives

Routinely collected data (RCD) from healthcare claims and encounters are increasingly used for outcomes in randomized trials; however, methods for estimating the validity and relative precision of RCD-derived outcomes compared to those from conventional outcome ascertainment are limited. We developed an approach to measuring validity and relative precision of RCD and quantifying uncertainty.

Methods

We reanalyzed data from the Strategies to Reduce Injuries and Develop Confidence in Elders (STRIDE) cluster-randomized, controlled trial. Eighty-six primary care practices in 10 US healthcare systems were randomized to either a multifactorial intervention delivered by nurse falls care managers, or enhanced usual care, with 5451 persons age ≥ 70 at increa

SUBMITTER: Ganz DA 

PROVIDER: S-EPMC12103980 | biostudies-literature | 2025 May

REPOSITORIES: biostudies-literature