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Models and frameworks for guiding assessment for aided Augmentative and Alternative communication (AAC): a scoping review. | LitMetric

Models and frameworks for guiding assessment for aided Augmentative and Alternative communication (AAC): a scoping review.

Disabil Rehabil Assist Technol

Department of Mechanical and Materials Engineering, Faculty of Engineering and Applied Science, Queen's University, Kingston, Canada.

Published: May 2024

AI Article Synopsis

  • Augmentative and Alternative Communication (AAC) assists people with complex communication needs, but it's unclear which existing models are based on robust research evidence.
  • This study aimed to identify models and frameworks that support effective communication outcomes for individuals using aided AAC systems, ensuring they were backed by either empirical or conceptual research.
  • The research found 15 articles covering 14 models, emphasizing the importance of standardized assessment traits and interdisciplinary collaboration for thorough evaluations.

Article Abstract

Background: Augmentative and Alternative Communication (AAC) supports individuals with complex communication needs. Conceptual models and frameworks exist to evaluate, implement, and assess the needs of persons with communication disabilities, however, it is unknown which models were grounded in previous evidence-based research.

Objective: What are the models and frameworks grounded in empirical or conceptual research that enable communication outcomes for persons who require aided AAC systems?

Eligibility Criteria: The study had to be the original publication of a defined model or framework that included aided AAC and the model had to be developed through research, either conceptual or empirical.

Sources Of Evidence: Eleven databases were searched using terms associated with AAC devices, conceptual models, and assessment processes. Fifteen articles presenting 14 independent assessment models were included.

Charting Methods: A custom data extraction form included model development using existing models and research evidence, the model's input parameters, and explicit outcome measures.

Results: Four models were specific to AAC while ten models were general evaluations for assistive technology systems. Models used a variety of descriptive traits during assessment including: person, technology, environment and context, and the activity or task. Only nine models sought to iteratively assess the client. Eleven of the models identified the inclusion of members from different disciplines in the assessment process.

Conclusions: There is a need to standardize descriptive traits: personal abilities, environmental characteristics, potential assistive technology, and contextual factors. Models should include teams of different disciplines to provide holistic assessments. Models should include outcomes and include iterative solutions.

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Source
http://dx.doi.org/10.1080/17483107.2023.2233986DOI Listing

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