Autism screening tests, specifically the Modified Checklist for Autism in Toddlers (M-CHAT), have been found to have limitations in identifying all children at risk, particularly those born prematurely or with complications, according to a study from Karolinska Institutet published in JAMA Network Open. The study highlights the need for additional assessment methods to improve early detection of autism in high-risk populations.
The M-CHAT is a widely used tool for screening autism in children aged two, focusing on early signs of the condition. However, this study reveals that it may not be comprehensive enough, especially for children born very prematurely or with complications, who are at a higher risk of developing autism.
The research, involving 2,178 children born in Sweden between 2013 and 2019, found that while the M-CHAT is highly accurate in ruling out autism (91% specificity), it only correctly identified 62% of children who were later diagnosed with the condition. This means that 12% of the children received a positive M-CHAT result, but only 6% were later diagnosed with autism.
Ulrika Ådén, a professor at the Department of Women's and Children's Health, emphasizes the importance of recognizing that the M-CHAT is not a perfect tool. She states, 'The results show that M-CHAT works relatively well to rule out autism, but it does not catch all children who later receive a diagnosis. In this high-risk group, more tools are needed to detect children who need further investigation early.'
The study also revealed interesting gender and linguistic factors. Children born extremely prematurely had the highest proportion of positive test results and autism diagnoses. Additionally, girls had fewer positive test results than boys, and linguistic factors played a role, with the test showing higher specificity in families that spoke a Scandinavian language.
Ådén further notes, 'Overall, the study shows that other developmental difficulties, such as motor or sensory problems, can affect how M-CHAT is interpreted. This needs to be taken into account when healthcare works with early screening.'
This research underscores the complexity of identifying autism, especially in high-risk populations, and highlights the need for a multi-faceted approach to screening and assessment. It also emphasizes the importance of considering individual factors, such as gender and language, in the interpretation of screening tools.
The findings of this study have significant implications for healthcare practices, suggesting that a combination of screening methods and a more nuanced approach to diagnosis may be necessary to ensure that all children at risk of autism are identified and supported appropriately.
