Evidence Synthesis for Complex Interventions Using Meta-Regression Models.

ABSTRACT: A goal of evidence synthesis for trials of complex interventions is to inform the design or implementation of novel versions of complex interventions by predicting expected outcomes with each intervention version. Conventional aggregate data meta-analyses of studies comparing complex interventions have limited ability to provide such information. We argue that evidence synthesis for trials of complex interventions should forgo aspirations of estimating causal effects and instead model the response surface of study results to 1) summarize the available evidence and 2) predict the average outcomes of future studies or in new settings. We illustrate this modeling approach using data from a systematic review of diabetes quality improvement (QI) interventions involving at least 1 of 12 QI strat

SUBMITTER: Konnyu KJ 

PROVIDER: S-EPMC10840082 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature