跳至主要内容
临床试验/NCT03847337
NCT03847337已完成不适用

Can Novel Telemedicine Tools Reduce Disparities Related to Early Identification of Autism

Vanderbilt University Medical Center2 个研究点 分布在 1 个国家目标入组 144 人开始时间: 2019年3月4日最近更新:
适应症

试验速览

阶段
不适用
状态
已完成
入组人数
144
试验地点
2
主要终点
Accurate Diagnosis of Autism Via Telemedicine

研究概览

简要总结

In this study, the investigators are trying to find new ways to screen for autism spectrum disorder (ASD) in young children. The investigators want to see if people like pediatricians can screen children for ASD while a psychologist watches on a monitor. The investigators are testing two screening tools. The investigators want to see if they are good at identifying children with ASD and children without ASD. The investigators hope this research will make it easier for families to get answers when there are concerns for ASD.

详细描述

The investigators will evaluate and compare two telemedicine assessment tools (TELE-STAT and TELE-ASD-PEDS) that could allow parents or naive providers in remote locations to complete an Autism Spectrum Disorder (ASD) risk assessment via telemedicine consultation via an expert psychologist. These tools will be low cost, compliant with privacy rules, easily deployed in community practice settings, and explicitly designed to work within paradigms that may be pragmatically and financially viable for systems of care housing remote clinicians. These telemedicine tools could provide methodologies wherein children could be rapidly linked to and appropriately assessed by ASD experts within practice locations where the children are currently receiving care. In turn, these children, who without such assessment may wait months or over a year in many circumstances to access assessments and interventions, may be able to receive appropriate ASD assessments within days or weeks of screening/surveillance concerns within practice settings where the children are already accessing and familiar with (i.e., minimizing loss to referral and follow-up)

研究设计

研究类型
Interventional
分配方式
Randomized
干预模型
Parallel
主要目的
Diagnostic
盲法
Double (Care Provider, Outcomes Assessor)

入排标准

年龄范围
15 Months 至 3 Years(Child)
性别
All
接受健康志愿者

入选标准

  • Children who have been diagnosed with autism or developmental delay

排除标准

  • Children with genetic disorders
  • Children with medical complexities, such as blindness or deafness
  • Children whose families do not speak English

结局指标

主要结局

Accurate Diagnosis of Autism Via Telemedicine

时间窗: 1 day

Number of children who are accurately diagnosed with autism via diagnostic evaluation

Accurate Diagnosis of Developmental Delay Via Telemedicine

时间窗: 1 day

Number of children who are accurately diagnosed via diagnostic evaluation

次要结局

未报告次要终点

研究者

申办方类型
Other
责任方
Principal Investigator
主要研究者

Zachary Warren

Associate Professor

Vanderbilt University Medical Center

研究点 (2)

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