Implementing systems-based innovations to improve access to early screening, diagnosis, and treatment services for children with autism spectrum disorder: An Autism Spectrum Disorder Pediatric, Early Detection, Engagement, and Services network study

实施基于系统的创新,以改善自闭症谱系障碍儿童早期筛查、诊断和治疗服务的可及性:自闭症谱系障碍儿科早期检测、参与和服务网络研究

阅读:1

Abstract

In 2013, the National Institute of Mental Health funded five trials of unique, multicomponent, systems-based innovations designed to improve access to early screening, diagnosis, and treatment of autism spectrum disorder-collectively known as the Autism Spectrum Disorder Pediatric, Early Detection, Engagement, and Services Network. As part of an ongoing effort to pool data and learn from shared experience, we collected information across all studies about innovation components and implementation strategies. First, each study group completed standardized checklists based on the Template for Intervention Description and Replication and the Expert Recommendation for Implementing Change. Then, we interviewed principal and co-investigators of each study (n = 9) to further explore innovation components and assess barriers and facilitators to implementation. Innovation strategies were diverse (five different autism spectrum disorder screeners were used, 40% included early intervention trainings, 60% involved new technology). Common implementation strategies included developing stakeholder relationships and provider trainings. Barriers included inefficient systems of care, difficulty engaging families in the innovations, provider attitudes, and organizational culture (e.g. difficulty changing clinic processes). These findings suggest that-despite diverse settings and a variety of innovation content-common facilitators and challenges exist in implementing innovations to enhance access to early autism spectrum disorder screening, diagnosis, and treatment.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。