Bayesian adaptive trial designs for evaluating low-risk programmatic changes for quality improvement in health services: a simulation study

Abstract Background Quality improvement in health service programmes often involves introducing small, low-risk programmatic changes, such as modifying workflows, to incrementally improve outcomes, which accumulate over time to have significant overall gains in quality and efficiency. Although these...

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Autores principales:	Min Jung Kim, David Prieto-Merino, Jennifer Nicholas, Luke Allen, Andrew Bastawrous, David Macleod
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	BMC 2026-02-01
Colección:	BMC Medical Research Methodology
Materias:	Simulation Bayesian analysis Adaptive trial Interim analysis Stopping rules Quality improvement
Acceso en línea:	https://doi.org/10.1186/s12874-026-02780-w
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