From Symptomatology to Functioning - Applying the ICF to Autism Measures to Facilitate Neurodiversity-Affirmative Data Harmonization.
Melissa H Black, Karl Lundin Remnélius, Lovisa Alehagen and 2 others
PMID 38079032WHAT IT FOUND
Common autism screening and diagnostic tools focus heavily on individual symptoms and mental functions, covering only 8 to 41% of the ICF Core Set for autism.
They rarely capture environmental barriers or personal strengths.
Key findings
01Standard autism measures cover a low proportion of the ICF Comprehensive Core Set for autism, ranging between 8 and 41%.
02Environmental factors and personal strengths are rarely captured by these measures, with environment domain coverage ranging from 0 to 3%.
03All included measures were linked to the mental functions chapter of the ICF, focusing primarily on symptomatology rather than broader functioning.
STILL TO COME
How it was doneWhat they found
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What it does not show
The linking process is subjective and may lose nuance between items. Interview-based measures like the ADI-R may yield more functional information in practice than the static items suggest. The study only mapped existing measures; it did not test whether these maps improve clinical outcomes or patient care.
Declared interests
The study was funded by the Karolinska Institute. No other conflicts of interest were declared.
The easy way to misread this
Do not interpret these findings as evidence that these diagnostic tools are invalid for identifying autism. The study shows they are designed to map symptoms, not to provide a complete picture of a patient's environmental barriers or functional strengths.