Disparities in the Use of Autism Support Services and Adverse Child Experiences: A State-Level Purview of the National Survey of Children's Health.
No single autism screen wins on cost, accuracy, and online access—compare tools before you commit.
01Research in Context
What this study did
Hartwell et al. (2025) looked at 37 different autism screening tools. They checked how easy each tool is to get, if it lines up with DSM-5 rules, how accurate it is, and whether you can use it on a phone or computer.
The team did a scoping review. That means they mapped what exists without running new tests.
What they found
No single screen came out on top. Some tools are easy to find but miss too many kids. Others catch autism well but cost money or need fast internet.
The paper gives a side-by-side chart so you can quickly see each tool’s weak spots.
How this fits with other research
Meimei et al. (2022) zoomed in on telehealth screens. They found good sensitivity but shaky specificity, matching Micah’s point that accuracy varies.
Marlow et al. (2019) picked only cheap, short tools for low-income countries. Their list overlaps with Micah’s chart, showing M-CHAT and RITA stay standouts.
Maddox et al. (2015) looks like a contradiction. They say three adult self-report screens fail in clinics. The gap is age and setting: Micah maps kids’ tools; B tested adults in outpatient care.
Bolte et al. (2013) counted 289 outcome measures across trials. Their mess of measures foreshadows Micah’s call to stop grabbing whatever screen is handy.
Why it matters
Before you pick a screen, open Micah’s chart. Check if the tool is free, online, DSM-5 friendly, and has solid sensitivity. If you work in rural spots or telehealth, cross-check with Meimei’s telehealth data. Save your team from buying a pricey app that needs Wi-Fi you don’t have.
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02At a glance
03Original abstract
Autistic spectrum disorder (ASD) refers to a neurodevelopmental condition associated with verbal and nonverbal communication, social interactions, and behavioural complications that is becoming increasingly common in many parts of the globe. Identifying individuals on the spectrum has remained a lengthy process for the past few decades due to the fact that some individuals diagnosed with ASD exhibit exceptional skills in areas such as mathematics, arts, and music among others. To improve the accuracy and reliability of autism diagnoses, many scholars have developed pre-diagnosis screening methods to help identify autistic behaviours at an early stage, speed up the clinical diagnosis referral process, and improve the understanding of ASD for the different stakeholders involved, such as parents, caregivers, teachers, and family members. However, the functionality and reliability of those screening tools vary according to different research studies and some have remained questionable. This study evaluates and critically analyses 37 different ASD screening tools in order to identify possible areas that need to be addressed through further development and innovation. More importantly, different criteria associated with existing screening tools, such as accessibility, the fulfilment of <i>Diagnostic and Statistical Manual of Mental Disorders</i> (<i>DSM-5</i>) specifications, comprehensibility among the target audience, performance (specifically sensitivity, specificity, and accuracy), web and mobile availability, and popularity have been investigated.
Journal of autism and developmental disorders, 2025 · doi:10.3390/ijerph16183502