Leeds Institute of Health Sciences, University of Leeds, Leeds, UK.
Choice Modelling Centre, University of Leeds, Leeds, UK.
Augment Altern Commun. 2023 Sep;39(3):157-169. doi: 10.1080/07434618.2023.2206582. Epub 2023 May 13.
Little is known about what features of AAC systems are regarded by AAC professionals as more suitable for children with different characteristics. A survey was conducted in which participants rated the suitability of hypothetical AAC systems on a Likert scale from 1 () to 7 () alongside a discrete choice experiment. The survey was administered online to 155 AAC professionals in the United Kingdom of Great Britain and Northern Ireland. Statistical modeling was used to estimate how suitable 274 hypothetical AAC systems were for each of 36 child vignettes. The proportion of AAC systems rated at least 5 out of 7 for suitability varied from 51.1% to 98.5% for different child vignettes. Only 12 out of 36 child vignettes had any AAC systems rated at least 6 out of 7 for suitability. The features of the most suitable AAC system depended on the characteristics of the child vignette. The results show that, while every child vignette had several systems that had a good suitability rating, there were variations, that could potentially lead to inequalities in provision.
对于 AAC 系统的哪些特点被 AAC 专业人员认为更适合具有不同特点的儿童，目前知之甚少。进行了一项调查，参与者在李克特量表上对假设的 AAC 系统的适宜性进行了评分，从 1（非常不适合）到 7（非常适合），并进行了离散选择实验。该调查通过在线方式向英国 155 名 AAC 专业人员进行。统计模型用于估计 274 个假设的 AAC 系统对 36 个儿童案例的适宜性程度。对于不同的儿童案例，适宜性评分至少为 7 分的 AAC 系统的比例从 51.1%到 98.5%不等。只有 12 个儿童案例中的任何 AAC 系统的适宜性评分至少为 6 分。最合适的 AAC 系统的特点取决于儿童案例的特点。结果表明，虽然每个儿童案例都有几个适宜性评分较高的系统，但也存在差异，这可能导致提供方面的不平等。
