Hundreds of millions of persons are affected by Attention-Deficit/Hyperactivity Disorder (ADHD), struggling with lack of concentration, hyperactivity, and emotional regulation. Patients often have the prescription of the same dosage for months to years, and optimizing ADHD medication can be a complex and lengthy trial-and-error process. In this study, we adopt design science methodology to investigate how mobile technologies like smartphones and smartwatches can be used for monitoring and self-reporting data to enable a flexible and personalized pharmacological therapy for ADHD patients on a daily basis. In the initial development of the artifact H-app-y, we focus on patients' self-reporting of emotions in combination with detecting sleep patterns as input in the general psychiatric clinical assessment. It is followed by an investigation about how to add additional input in the iterative development process. We hope that this study can help psychiatrists improve medication and help patients understand themselves better.
Rosenbacke, Rikard; Tajhizi, Navid; Constantiou, Ioanna; and Melhus, Åsa, "DESIGNING A DIGITAL ARTIFACT FOR DATA COLLECTION TO IMPROVE DAILY ADHD MEDICATION" (2022). ECIS 2022 Research-in-Progress Papers. 22.
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