Mobile App for Tracking Children with Autism
Author Information
Author(s): Garcia Camila Porpino Maia, Mendonça Andrea Gondim, Fagundes Adriane da Cunha Aragão Rios, Santos Ana Cristina de Macedo, Pereira Francilene Jane Rodrigues, Valdevino Stella Costa, de Góis Rebecca Maria Oliveira, Lins Rodrigo Barros Esteves, Freire Renata Pascoal, de Sousa Mailson Marques, Pereira Vagna Cristina Leite da Silva, Silva Cleyton Cézar Souto
Primary Institution: Nova Esperança Nursing School
Hypothesis
Is the App-Autismo a valid mobile device in terms of content and usability for screening children with ASD in primary healthcare?
Conclusion
The results demonstrated that the App-Autismo has adequate evidence of content validity and usability.
Supporting Evidence
- The content validation showed satisfactory CVR values, ensuring the validity of the developed application.
- The usability evaluation yielded an overall average score of 50.9 points, classified as a high level of usability.
- The App-Autismo is scientifically grounded, covering content related to ASD, including signs and symptoms, etiology, risk factors, diagnosis and risk assessment.
- Experts suggested modifications to improve the app, such as changing the font size and type for clearer screen visibility.
Takeaway
The App-Autismo is a mobile app that helps doctors check if children might have autism, making it easier to find and help them early.
Methodology
This methodological study included 15 experts for content validation and 9 for usability evaluation, using the Content Validity Ratio (CVR) and the MATcH-MED instrument.
Limitations
The study had representation from only some regions of the country, rather than its entirety.
Participant Demographics
The expert panel consisted of 15 evaluators, including 14 women and 1 man, with an average age of 38.93 years, and 9 usability experts, including 5 women and 4 men, with an average age of 41.44 years.
Digital Object Identifier (DOI)
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