Leeds Institute of Health Sciences, University of Leeds, Leeds, UK
Choice Modelling Centre, University of Leeds, Leeds, UK.
BMJ Open. 2019 Dec 1;9(11):e030274. doi: 10.1136/bmjopen-2019-030274.
Many children with varied disabilities, for example, cerebral palsy, autism, can benefit from augmentative and alternative communication (AAC) systems. However, little is known about professionals' decision-making when recommending symbol based AAC systems for children. This study examines AAC professionals' preferences for attributes of AAC systems and how they interact with child characteristics.
AAC professionals answered a discrete choice experiment survey with AAC system and child-related attributes, where participants chose an AAC system for a child vignette.
The survey was administered online in the UK.
155 UK-based AAC professionals were recruited between 20 October 2017 and 4 March 2018.
The study outcomes were the preferences of AAC professionals' as quantified using a mixed logit model, with model selection performed using a step-wise procedure and the Bayesian Information Criterion.
Significant differences were observed in preferences for AAC system attributes, and large interactions were seen between child attributes included in the child vignettes, for example, participants made more ambitious choices for children who were motivated to communicate using AAC, and predicted to progress in skills and abilities. These characteristics were perceived as relatively more important than language ability and previous AAC experience.
AAC professionals make trade-offs between attributes of AAC systems, and these trade-offs change depending on the characteristics of the child for whom the system is being provided.
许多患有各种残疾的儿童,例如脑瘫、自闭症,可以从增强和替代沟通(AAC)系统中受益。然而,对于专业人士在推荐基于符号的 AAC 系统给儿童时的决策过程,我们知之甚少。本研究考察了 AAC 专业人员对 AAC 系统属性的偏好,以及他们如何与儿童特征相互作用。
AAC 专业人员回答了一项带有 AAC 系统和儿童相关属性的离散选择实验调查,参与者根据儿童情况选择 AAC 系统。
该调查在英国通过在线方式进行。
2017 年 10 月 20 日至 2018 年 3 月 4 日期间,共招募了 155 名英国 AAC 专业人员。
研究结果是 AAC 专业人员的偏好,使用混合对数模型进行量化,模型选择通过逐步程序和贝叶斯信息准则进行。
AAC 专业人员在 AAC 系统属性之间进行权衡,并且这些权衡会根据系统提供给儿童的特征而变化。