Addressing identification bias in the design and analysis of cluster-randomized pragmatic trials: a case study.

ABSTRACT:

Background

Pragmatic trials provide the opportunity to study the effectiveness of health interventions to improve care in real-world settings. However, use of open-cohort designs with patients becoming eligible after randomization and reliance on electronic health records (EHRs) to identify participants may lead to a form of selection bias referred to as identification bias. This bias can occur when individuals identified as a result of the treatment group assignment are included in analyses.

Methods

To demonstrate the importance of identification bias and how it can be addressed, we consider a motivating case study, the PRimary care Opioid Use Disorders treatment (PROUD) Trial. PROUD is an ongoing pragmatic, cluster-randomized implementation trial in six health systems to e

SUBMITTER: Bobb JF 

PROVIDER: S-EPMC7092580 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature