Rebecca McNally Keehn, Noha F Minshawi, Qing Tang, Brett Enneking, Tybytha Ryan, Ann Marie Martin, Angela Paxton, Patrick O Monahan, Mary Ciccarelli, Brandon Keehn
{"title":"幼儿和幼儿自闭症筛查工具在基层医疗机构的准确性。","authors":"Rebecca McNally Keehn, Noha F Minshawi, Qing Tang, Brett Enneking, Tybytha Ryan, Ann Marie Martin, Angela Paxton, Patrick O Monahan, Mary Ciccarelli, Brandon Keehn","doi":"10.1177/13623613241292850","DOIUrl":null,"url":null,"abstract":"<p><strong>Lay summary: </strong>Specialists 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.</p>","PeriodicalId":8724,"journal":{"name":"Autism","volume":" ","pages":"13623613241292850"},"PeriodicalIF":5.2000,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Accuracy of the Screening Tool for Autism in Toddlers and Young Children in the primary care setting.\",\"authors\":\"Rebecca McNally Keehn, Noha F Minshawi, Qing Tang, Brett Enneking, Tybytha Ryan, Ann Marie Martin, Angela Paxton, Patrick O Monahan, Mary Ciccarelli, Brandon Keehn\",\"doi\":\"10.1177/13623613241292850\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Lay summary: </strong>Specialists 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.</p>\",\"PeriodicalId\":8724,\"journal\":{\"name\":\"Autism\",\"volume\":\" \",\"pages\":\"13623613241292850\"},\"PeriodicalIF\":5.2000,\"publicationDate\":\"2024-11-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Autism\",\"FirstCategoryId\":\"102\",\"ListUrlMain\":\"https://doi.org/10.1177/13623613241292850\",\"RegionNum\":2,\"RegionCategory\":\"心理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PSYCHOLOGY, DEVELOPMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Autism","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1177/13623613241292850","RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHOLOGY, DEVELOPMENTAL","Score":null,"Total":0}
Accuracy of the Screening Tool for Autism in Toddlers and Young Children in the primary care setting.
Lay summary: Specialists 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.
期刊介绍:
Autism is a major, peer-reviewed, international journal, published 8 times a year, publishing research of direct and practical relevance to help improve the quality of life for individuals with autism or autism-related disorders. It is interdisciplinary in nature, focusing on research in many areas, including: intervention; diagnosis; training; education; translational issues related to neuroscience, medical and genetic issues of practical import; psychological processes; evaluation of particular therapies; quality of life; family needs; and epidemiological research. Autism provides a major international forum for peer-reviewed research of direct and practical relevance to improving the quality of life for individuals with autism or autism-related disorders. The journal''s success and popularity reflect the recent worldwide growth in the research and understanding of autistic spectrum disorders, and the consequent impact on the provision of treatment and care. Autism is interdisciplinary in nature, focusing on evaluative research in all areas, including: intervention, diagnosis, training, education, neuroscience, psychological processes, evaluation of particular therapies, quality of life issues, family issues and family services, medical and genetic issues, epidemiological research.