ADHD Scout: Mobile Application for Home-Based Screening to Facilitate Early Detection of ADHD in Children

This paper presents a novel framework and mobile application for detecting Attention-Deficit Hyperactivity Disorder (ADHD) in children. The app utilizes a combination of game-based assessments for children and parent and teacher feedback surveys to generate an accurate ADHD detection result. The framework aims to address the challenges of early detection, particularly for children by offering a cost-effective and accessible home-based screening tool. The application demonstrates how various technologies such as JavaScript, React.js, React Native, Tailwind CSS, Node.js, and MongoDB used to develop the application work together to form a seamless development stack that speeds up the development process and boosts code maintainability. Extensive testing confirmed the app's user-friendliness, accuracy, and reliable functionality across various network conditions. Rural user feedback further validated its feasibility and cultural sensitivity. This mobile app has the potential to transform early ADHD detection, improve access to care, and empower stakeholders (patients, parents, teachers, and doctors) to identify children with ADHD who may benefit from professional evaluation and treatment. Notwithstanding the app's shortcomings in terms of data quality and its inability to replace a medical diagnosis, it provides a viable tool for at-home ADHD screening that should improve results and the lives of people impacted. Future work will focus on fine-tuning the app's accuracy, conducting viability testing, and exploring integration with healthcare workflows and research initiatives.