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Gepubliceerd in:

09-03-2023 | Original Paper

Assessing Autism Knowledge Across the Global Landscape Using the ASK-Q

Auteurs: Ashley J. Harrison, Nilofer C. Naqvi, Anne K. Smit, Prisha Nanda Kumar, Noor Azimah Muhammad, Sabine Saade, Luodi Yu, Emilie Cappe, Hui Min Low, Sarah-Jane Chan, Annelies de Bildt

Gepubliceerd in: Journal of Autism and Developmental Disorders | Uitgave 5/2024

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Abstract

Substantial variability exists with regard to autism service provision around the world. Service disparities observed in many low- and middle-income countries may be driven, in part, by limited autism knowledge; however, measurement limitations have made it difficult to quantify autism knowledge across countries. The current study uses the autism stigma and knowledge questionnaire (ASK-Q) to quantify autism knowledge and stigma between different countries and demographics. The current study compiled data from 6830 participants collected using adapted versions of the ASK-Q administered in 13 different countries, representing four different continents. Structural equation modeling was used to examine how autism knowledge varied across country and individual factors. Results reveal cross country variability with a large, 17-point difference between the countries with the highest knowledge (Canada) and the lowest knowledge (Lebanon). As expected, countries with higher economies had higher levels of knowledge. We also documented differences based on country worldview, participant occupation, gender, age, and education level. These results help to identify specific regions and populations that might most need greater information about autism.
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Metagegevens
Titel
Assessing Autism Knowledge Across the Global Landscape Using the ASK-Q
Auteurs
Ashley J. Harrison
Nilofer C. Naqvi
Anne K. Smit
Prisha Nanda Kumar
Noor Azimah Muhammad
Sabine Saade
Luodi Yu
Emilie Cappe
Hui Min Low
Sarah-Jane Chan
Annelies de Bildt
Publicatiedatum
09-03-2023
Uitgeverij
Springer US
Gepubliceerd in
Journal of Autism and Developmental Disorders / Uitgave 5/2024
Print ISSN: 0162-3257
Elektronisch ISSN: 1573-3432
DOI
https://doi.org/10.1007/s10803-023-05936-5