Abstract

Apraxia of speech (AOS) is a motor speech disorder often co-occurring with aphasia following stroke, presenting challenges in communication rehabilitation. This study employs Bayesian hierarchical analysis to investigate the occurrence of AOS in individuals with long-term aphasia post-stroke. A systematic review identified relevant studies reporting on AOS prevalence in stroke survivors with persistent aphasia. Bayesian methods were applied to integrate data across heterogeneous studies, accounting for variability in sample characteristics and study designs. Findings suggest a prevalence estimate of approximately 30% for AOS among individuals with long-term aphasia. Factors influencing AOS occurrence include lesion location, severity of stroke, and individual variability in recovery trajectories. Clinical implications highlight the importance of tailored interventions targeting motor speech deficits. Bayesian hierarchical analysis provides a comprehensive approach to understanding AOS within the context of long-term aphasia, informing therapeutic strategies and enhancing outcomes for affected individuals.