Reese R Matthew, Braun Matthew J, Hoffmeier Sarah, Stickle Lee, Rinner Louann, Smith Catherine, Ellerbeck Kathryn, Jamison Rene, Wendland Maura, Jarrett Lindsey, Hadorn Megan
1 Center for Child Health and Development, University of Kansas Medical Center , Kansas City, Kansas.
2 Technical Assistance Support Network , University of Kansas Medical Center, Kansas City, Kansas.
Telemed J E Health. 2015 Jul;21(7):581-7. doi: 10.1089/tmj.2014.0124. Epub 2015 Apr 21.
Autism affects as many as 1 in 68 children in the United States. Early identification and access to intervention services promote improved outcomes for children with autism and other developmental delays. Children living in rural and underserved areas have limited access to such services and are diagnosed later than those living more suburban and urban areas. Our Integrated Systems Using Telemedicine (ISUT) Model uses a cost-effective method for families to access diagnostic and other specialty care through telemedicine. This model links families, trained early intervention providers and educators, and university-based medical professionals.
We trained autism diagnostic teams throughout the state who completed diagnostic measures and connected to university medical center teams for final diagnosis of autism and coexisting conditions. We gathered preliminary data to measure the impact of the ISUT model on access to services, potential cost savings for families, and parent satisfaction with the model.
Preliminary data indicate that our ISUT model provided families in rural and underserved areas improved access to diagnostic services as well as cost savings for travel. Our satisfaction data indicate that parents are equally satisfied with services received through the ISUT and through the University-Based Medical Center Team Model.
The ISUT model provides a unique collaboration among the family, educational system, autism experts in the community, and the university medical center autism team while providing a cost-effective means for families to access specialty care while promoting coordination of care within the community.
在美国，每68名儿童中就有1名受自闭症影响。早期识别并获得干预服务有助于改善自闭症及其他发育迟缓儿童的预后。生活在农村和服务欠缺地区的儿童获得此类服务的机会有限，其被诊断的时间也比生活在郊区和城市地区的儿童晚。我们的远程医疗综合系统（ISUT）模型为家庭提供了一种经济高效的方式，使其能够通过远程医疗获得诊断及其他专科护理。该模型将家庭、训练有素的早期干预提供者和教育工作者以及大学医学专业人员联系起来。
我们在全州范围内培训了自闭症诊断团队，这些团队完成诊断措施，并与大学医学中心团队联系以进行自闭症及共存病症的最终诊断。我们收集了初步数据，以衡量ISUT模型对服务可及性、家庭潜在成本节约以及家长对该模型满意度的影响。
初步数据表明，我们的ISUT模型为农村和服务欠缺地区的家庭提供了更好的诊断服务可及性，并节省了出行成本。我们的满意度数据表明，家长对通过ISUT模型和大学医学中心团队模型获得的服务同样满意。
ISUT模型在家庭、教育系统、社区自闭症专家和大学医学中心自闭症团队之间建立了独特的合作关系，同时为家庭提供了一种经济高效的方式来获得专科护理，促进了社区内护理的协调。
