Assessing Autism Knowledge Across the Global Landscape Using the ASK-Q.
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| Title: | Assessing Autism Knowledge Across the Global Landscape Using the ASK-Q. |
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| Authors: | Harrison, Ashley J., Naqvi, Nilofer C., Smit, Anne K., Kumar, Prisha Nanda, Muhammad, Noor Azimah, Saade, Sabine, Yu, Luodi, Cappe, Emilie, Low, Hui Min, Chan, Sarah-Jane, de Bildt, Annelies |
| Source: | Journal of Autism & Developmental Disorders. May2024, Vol. 54 Issue 5, p1897-1911. 15p. |
| Subjects: | Diagnosis of autism, Health literacy, Medical information storage & retrieval systems, Attitudes toward illness, Autism, Questionnaires, Socioeconomic factors, Sex distribution, Structural equation modeling, Age distribution, Descriptive statistics, World health, Professions, Electronic health records, Data analysis software, Early diagnosis, Social stigma, Educational attainment |
| 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. [ABSTRACT FROM AUTHOR] |
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| Database: | Psychology and Behavioral Sciences Collection |
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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. [ABSTRACT FROM AUTHOR] |
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| ISSN: | 01623257 |
| DOI: | 10.1007/s10803-023-05936-5 |
