用于追踪自闭症谱系障碍儿童的移动应用程序：内容效度与可用性
Mobile Application for Tracking Children with Autistic Spectrum Disorder: Content Validation and Usability.
作者信息
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
机构信息
Nova Esperança Nursing School, João Pessoa 58067-698, PB, Brazil.
Federal University of Rio Grande do Norte, Natal 59078-900, RN, Brazil.
出版信息
Int J Environ Res Public Health. 2024 Nov 29;21(12):1590. doi: 10.3390/ijerph21121590.
BACKGROUND
This study aims to validate the content and evaluate the usability of the Autism App for screening children with autism spectrum disorder.
METHODS
This methodological study was conducted between August 2023 and March 2024. The study included 15 experts for content validation and nine for usability evaluation, all of whom had experience in the health/technology field. Content validation data were analyzed using the Content Validity Ratio (CVR), and usability was assessed through heuristics using the MATcH-MED instrument.
RESULTS
The content validation showed satisfactory CVR values, ensuring the validity of the developed application, with suggestions for revisions regarding aims and structure. The usability evaluation yielded an overall average score of 50.9 points, classified as a high level of usability.
CONCLUSION
The results demonstrated that the App-Autismo has adequate evidence of content validity and usability. By incorporating the experts' suggestions, this tool can be tested in future research for its effectiveness and efficiency.
背景
本研究旨在验证自闭症应用程序的内容，并评估其用于筛查自闭症谱系障碍儿童的可用性。
方法
本方法学研究于2023年8月至2024年3月进行。该研究包括15名进行内容验证的专家和9名进行可用性评估的专家，他们均有健康/技术领域的经验。使用内容效度比（CVR）分析内容验证数据，并通过使用MATcH-MED工具的启发式方法评估可用性。
结果
内容验证显示出令人满意的CVR值，确保了所开发应用程序的有效性，并针对目标和结构提出了修订建议。可用性评估的总体平均得分为50.9分，被归类为高可用性水平。
结论
结果表明，自闭症应用程序有充分的内容效度和可用性证据。通过纳入专家的建议，该工具可在未来研究中测试其有效性和效率。
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