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初级保健临床医生通过远程医疗专家评估对幼儿形成的自闭症诊断印象。

Autism diagnostic impressions in young children formed by primary care clinicians and through telemedicine expert assessments.

作者信息

Wieckowski Andrea Trubanova, de Marchena Ashley, Dickerson Alexia F, Frick Erika, Perez Liz Georgina, Dubin Ashley, Robins Diana L

机构信息

A.J. Drexel Autism Institute, Drexel University, USA.

出版信息

Autism. 2025 Nov;29(11):2898-2905. doi: 10.1177/13623613251355257. Epub 2025 Jul 8.

Abstract

Formal autism diagnosis is often critical for children to access early, autism-specific services and supports. However, barriers to traditional in-person evaluations, including long waitlists, delay diagnosis. The goal of the current study was to compare diagnostic impressions (i.e. clinical judgments) made by primary care clinicians and autism experts conducting brief telehealth sessions, with expert diagnosis from in-person gold-standard evaluations. Participants were toddlers ( = 32, age 12-36 months) referred for any developmental concerns by four primary care clinicians from one pediatric practice in the United States. Primary care clinicians indicated their diagnostic classification and families then completed telehealth evaluations and in-person evaluations with one of five autism diagnostic expert clinicians. When primary care clinicians classified a child as having definite autism ( = 11), they were 100% accurate, but only 57% accurate when they indicated a child definitely did not have autism. Experts providing classification after a telehealth evaluation accurately classified 72% of children and were confident in the diagnosis for 55% of cases. In high-confidence cases, telehealth diagnosis matched final diagnosis 88% of the time. These findings indicate that when primary care clinicians believe a toddler is autistic, or when autism experts indicate autism telehealth classification with confidence, the child should begin receiving autism-specific services and supports right away.Lay abstractThere are long waitlists for autism evaluations, which greatly delay the start of interventions that are known to improve children's outcomes. We tested the accuracy of primary care clinicians' impressions of autism versus other developmental delays during well-child visits, and of experts during brief telemedicine visits, and found that more than half of the children were accurately identified through these streamlined methods. These findings support a tiered approach in which children identified through these more efficient methods begin autism intervention immediately; this approach also benefits children with more complex differentials by shortening waitlists for comprehensive evaluations for those who require them prior to treatment entry.

摘要

正式的自闭症诊断对于儿童获得早期的、特定于自闭症的服务和支持通常至关重要。然而,传统面对面评估存在障碍,包括长长的等待名单,这会延迟诊断。本研究的目的是比较初级保健临床医生和进行简短远程医疗会诊的自闭症专家做出的诊断印象(即临床判断)与面对面金标准评估得出的专家诊断结果。参与者是来自美国一家儿科诊所的四位初级保健临床医生转介的有任何发育问题的幼儿(n = 32,年龄12 - 36个月)。初级保健临床医生给出他们的诊断分类,然后家庭与五位自闭症诊断专家临床医生之一完成远程医疗评估和面对面评估。当初级保健临床医生将一名儿童分类为患有明确的自闭症(n = 11)时,他们的准确率为100%,但当他们表示一名儿童肯定没有自闭症时,准确率仅为57%。在远程医疗评估后提供分类的专家准确分类了72%的儿童,并且对55%的病例的诊断有信心。在高信心病例中,远程医疗诊断与最终诊断的匹配率为88%。这些发现表明,当初级保健临床医生认为一名幼儿患有自闭症时,或者当自闭症专家自信地给出自闭症远程医疗分类时,该儿童应立即开始接受特定于自闭症的服务和支持。

摘要

自闭症评估的等待名单很长,这大大延迟了已知能改善儿童预后的干预措施的开始。我们测试了初级保健临床医生在儿童健康检查期间对自闭症与其他发育迟缓的印象的准确性,以及专家在简短远程医疗会诊期间的准确性,发现通过这些简化方法可以准确识别超过一半的儿童。这些发现支持一种分层方法,即通过这些更有效的方法识别出的儿童立即开始自闭症干预;这种方法也有利于有更复杂鉴别诊断的儿童,因为它缩短了那些在开始治疗前需要进行全面评估的儿童的等待名单。

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