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Effective communication is critical for safety, independence, and obtaining the highest quality healthcare [1] as well as quality of life. Unfortunately, aging leads to sensory and cognitive declines (e.g., hearing, vision, and memory) [2] and diseases, such as Parkinson’s disease (PD), which may significantly affect a person’s ability to communicate effectively [3]. Difficulty communicating, whether due to typical aging or disease, often leads to isolation, depression, reduced independence, poorer quality of life, and inPurpose: To examine the psychometric properties of the Communicative Effectiveness Survey-Revised (CESR), a patient reported outcome measure of communicative effectiveness for people with Parkinson’s disease (PD) and dysarthria using Rasch analysis, a one-parameter logistic probability model based on principles of scientific measurement.

Examining the Item-Level Psychometric Properties of the Communicative Effectiveness Survey-Revised for People with Parkinson’s Disease and Dysarthria