McNally Keehn Rebecca, Minshawi Noha F, Tang Qing, Enneking Brett, Ryan Tybytha, Martin Ann Marie, Paxton Angela, Monahan Patrick O, Ciccarelli Mary, Keehn Brandon
School of Medicine, Indiana University, USA.
Purdue University, USA.
Autism. 2025 Apr;29(4):945-957. doi: 10.1177/13623613241292850. Epub 2024 Nov 6.
Feasible and accurate assessment tools developed for non-specialists are needed to scale community-based models of autism evaluation. The purpose of this study was to evaluate use of the Screening Tool for Autism in Toddlers and Young Children (STAT) when used by primary care practitioners ( = 10) across a statewide system of early diagnosis set within seven United States primary care practices. Specifically, for 130, 14- to 48-month-old children, we examined (1) agreement between STAT classification and Autism Diagnostic Observation Schedule, Second Edition (ADOS-2) outcome and expert diagnosis of autism, (2) characteristics of children with inaccurate STAT classifications, (3) consistency between STAT classification and primary care practitioner diagnosis, and (4) the relationship between STAT/primary care practitioner classification and expert diagnosis. The STAT demonstrated good concurrent validity with the ADOS-2 (77% agreement). Concordance between specialty trained primary care practitioners with expert diagnosis was 80%-87% across three age-based subgroups of children. Children misclassified by the STAT were older, had higher developmental and adaptive skills, and lower autism symptoms. Primary care practitioner diagnosis aligned with STAT categorical risk classification in 86% of cases, and 73% of consistent classifications between STAT and primary care practitioner diagnosis matched expert diagnosis. Overall, the STAT demonstrates good accuracy when used by non-specialists as part of a diagnostic evaluation.Lay summarySpecialists conduct autism evaluations using tools that are expensive and difficult to get trained on. Families often wait a long time and travel far to get a diagnosis for their child. To help with this problem, primary care practitioners can be trained to provide evaluations in local communities. However, usable and accurate tools developed for non-specialists are needed. The Screening Tool for Autism in Toddlers and Young Children (STAT) was created for this purpose, but limited research has been done on accuracy of the tool in community primary care. This study tested the STAT when used by primary care practitioners as part of a diagnostic evaluation in 130, 14- to 48-month-old children. We tested (1) STAT agreement with the Autism Diagnostic Observation Schedule, Second Edition (ADOS-2), and diagnosis based on an expert research evaluation, and (2) the relationship between STAT classification, primary care practitioner diagnosis, and expert diagnosis. STAT classification matched the ADOS-2 in 77% of cases and expert diagnosis in 78% of cases. Autistic children incorrectly classified by the STAT were older, had higher developmental and adaptive skills, and fewer autism symptoms. In 86% of cases, the STAT classification agreed with primary care practitioner diagnosis. STAT classification, primary care practitioner diagnosis, and expert diagnosis agreed in 73% of cases. Overall, the STAT shows good accuracy when used by primary care practitioners as part of a community primary care autism evaluation.
需要开发适用于非专业人员的可行且准确的评估工具,以推广基于社区的自闭症评估模式。本研究的目的是评估初级保健从业者(共10名)在美国七个初级保健机构组成的全州早期诊断系统中使用幼儿自闭症筛查工具(STAT)的情况。具体而言,对于130名14至48个月大的儿童,我们研究了:(1)STAT分类与《自闭症诊断观察量表第二版》(ADOS-2)结果及自闭症专家诊断之间的一致性;(2)STAT分类不准确的儿童的特征;(3)STAT分类与初级保健从业者诊断之间的一致性;(4)STAT/初级保健从业者分类与专家诊断之间的关系。STAT与ADOS-2具有良好的同时效度(一致性为77%)。在三个基于年龄的儿童亚组中,接受过专业培训的初级保健从业者与专家诊断的一致性为80%-87%。被STAT误分类的儿童年龄较大,发育和适应技能较高,自闭症症状较少。在86%的病例中,初级保健从业者的诊断与STAT分类风险类别一致,在STAT与初级保健从业者诊断一致的病例中,73%与专家诊断相符。总体而言,非专业人员将STAT作为诊断评估的一部分使用时,其准确性良好。
专家使用的自闭症评估工具昂贵且难以培训。家庭通常要等待很长时间并前往很远的地方才能为孩子获得诊断。为解决这一问题,可培训初级保健从业者在当地社区提供评估。然而,需要为非专业人员开发可用且准确的工具。幼儿自闭症筛查工具(STAT)就是为此目的而创建的,但关于该工具在社区初级保健中的准确性的研究有限。本研究测试了初级保健从业者将STAT作为130名14至48个月大儿童诊断评估的一部分的使用情况。我们测试了:(1)STAT与《自闭症诊断观察量表第二版》(ADOS-2)的一致性以及基于专家研究评估的诊断;(2)STAT分类、初级保健从业者诊断和专家诊断之间的关系。STAT分类在77%的病例中与ADOS-2匹配,在78%的病例中与专家诊断匹配。被STAT错误分类的自闭症儿童年龄较大,发育和适应技能较高,自闭症症状较少。在86%的病例中,STAT分类与初级保健从业者诊断一致。在73%的病例中,STAT分类、初级保健从业者诊断和专家诊断一致。总体而言,初级保健从业者将STAT作为社区初级保健自闭症评估的一部分使用时,显示出良好的准确性。