Instruments assessing mobility of children and adolescents with autism spectrum disorder: A systematic review and decision map.
Arthur Felipe Barroso de Lima, Amanda Cristina Fernandes, Amanda Alves Rodrigues Soares and 2 others
PMID 41460825WHAT IT FOUND
For children and adolescents with autism spectrum disorder, the DCDQ, VABS, and PEDI-CAT had the strongest evidence for mobility assessment.
Many direct motor tests had low or very low evidence, so results should be used cautiously when choosing an assessment.
Key findings
01Eleven eligible studies evaluated 11 mobility instruments.
02The DCDQ, VABS, and PEDI-CAT received high evidence ratings for mobility-related properties.
03No included study evaluated responsiveness, so the review cannot show whether these tools detect change after therapy.
STILL TO COME
How it was doneWhat they foundWhat it means for PTsWhat it means for OTs
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What it does not show
Only 11 studies were eligible, so many instruments were judged from limited evidence. Most measurement properties had low or very low evidence because of risk of bias and imprecision. No included study evaluated responsiveness, so the review cannot tell whether these tools detect change after therapy. Diagnosis methods, functional classification, and support level were poorly reported in the included studies. No study evaluated all COSMIN measurement properties, and cross-cultural adaptation was rarely assessed. The review required more than 50% of participants to have autism spectrum disorder, so findings may not apply to children with other neurodevelopmental disorders. Instruments varied in the mobility aspects they measured and in age range, limiting direct comparison.
The easy way to misread this
Do not read the high evidence for DCDQ, VABS, and PEDI-CAT as proof that these instruments improve mobility or guide treatment effectiveness. This review assessed measurement properties only, and many instruments had low or very low evidence.
Summarised by AI from the full paper, without a clinician reviewing it. Check it against the source before it changes what you do. Read it on PubMed →